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David Laidlaw

Projects Themes Talks Publications Bibliography

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Projects

Themes

Talks

 

Publications

2024

[Novotny and Laidlaw, 2024]
Johannes Novotny and David H. Laidlaw. Evaluating Text Reading Speed in VR Scenes and 3D Particle Visualizations. 2024. In Press (pdf) (bibtex: Novotny-2024-ETR).

2023

[Abdul-Rahman et al., 2023]
Alfie Abdul-Rahman, Min Chen, David H. Laidlaw, and Brian Fisher. Supporting Diverse Research Methods for Observing Huge Variable Space in Empirical Studies for Visualization. In Visualization Psychology, pages 109--136. Springer, 2023. (pdf) (bibtex: Abdul-2023-SDR).
[Jain et al., 2023]
Atishay Jain, David H. Laidlaw, Peter Bajcsy, and Ritambhara Singh. Memory-efficient semantic segmentation of large microscopy images using graph-based neural networks. Microscopy, October 2023. (bibtex: Jain-2023-MSS).
[Yang et al., 2023]
Fumeng Yang, Yuxin Ma, Lane Harrison, James Tompkin, and David H. Laidlaw. How Can Deep Neural Networks Aid Visualization Perception Research? Three Studies on Correlation Judgments in Scatterplots. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023. (pdf) (bibtex: Yang-2023-HCD).

2022

[Yang et al., 2022]
Fumeng Yang, James Tompkin, Lane Harrison, and David H. Laidlaw. Visual Cue Effects on a Classification Accuracy Estimation Task in Immersive Scatterplots. IEEE Transactions on Visualization and Computer Graphics, 2022. (bibtex: Yang-2022-VCE).

2021

[Cabeen et al., 2021]
Ryan Cabeen, Arthur W Toga, and David H. Laidlaw. Tractography Processing with the Sparse Closest Point Transform. Neuroinformatics, 19(2):367--378, 2021. (pdf) (bibtex: Cabeen-2021-TPS).
[Patel and Laidlaw, 2021]
Mohak Patel and David H. Laidlaw. Visualization of 3D stress tensor fields using superquadric glyphs on displacement streamlines. IEEE Transactions on Visualization and Computer Graphics, 2020. (pdf) (bibtex: Patel-2021-V3S).
[Petteruti et al., 2021]
Anessa Petteruti, Cindy Nguyen, and David H. Laidlaw. Designing the Virtual Rosetta: A Tool for Exploring Historical Drawings in VR. In Proceedings of the 8th International Immersive Projection Technology Workshop (VIS4DH), pages 7--11, 2021. (pdf) (bibtex: Petteruti-2021-DVR).
[Yang et al., 2021]
Fumeng Yang, Jing Qian, Johannes Novotny, David Badre, Cullen Jackson, and David H. Laidlaw. A Virtual Reality Memory Palace Variant Aids Knowledge Retrieval from Scholarly Articles. IEEE Transactions on Visualization and Computer Graphics, 2020. (pdf) (bibtex: Yang-2021-VRM).

2020

[Abdul-Rahman et al., 2020]
Alfie Abdul-Rahman, M Chen, and David H. Laidlaw. A survey of variables used in empirical studies for visualization. In Foundations of Data Visualization. LNCS-Springer, 2020. (pdf) (bibtex: Abdul-2020-SVU).
[Aguilar et al., 2020]
Stephanie Vargas Aguilar, Oscar Aguilar, Allan, Rhys, Amir, El Ad David, Angeli, Veronique, Artyomov, Maxim N, Asinovski, Natasha, Astarita, Jilian, Austen, K Frank, Bajpai, Geetika, David H. Laidlaw, et al. Immgen at 15. Nature Immunology, 11(7):700--703, 2020. (bibtex: Aguilar-2020-I15).
[Cabeen et al., 2020]
Ryan Cabeen, David H. Laidlaw, and AW Toga. Stick Stippling for Joint 3D Visualization of Diffusion MRI Fiber Orientations and Density. In Proceedings of MICCAI CDMRI Workshop, 2020. (pdf) (bibtex: Cabeen-2020-SSJ).
[Cabeen et al., 2020]
Ryan Cabeen, Arthur W Toga, and David H. Laidlaw. Tractography Processing with the Sparse Closest Point Transform. Neuroinformatics, pages 1--12, 2020. (pdf) (bibtex: Cabeen-2020-TPS).
[Chen et al., 2020]
Min Chen, Alfie Abdul-Rahman, and David H. Laidlaw. The Huge Variable Space in Empirical Studies for Visualization--A Challenge as well as an opportunity for Visualization Psychology. In IEEE VIS Workshop on Visualization Psychology, 2020. (pdf) (bibtex: Chen-2020-HVS).
[Hatala et al., 2020]
KG Hatala, PL FalkinghamL, S Megherhi, DA Perry, S Cheleden, Johannes Novotny, David H. Laidlaw, and SM Gatesy. Merging biplanar X-ray, 3-D animation, particle simulation, and virtual reality to understand 3-D foot dynamics on deformable substrates. American Journal of Physical Anthropology, 171(S69), 2020. (pdf) (bibtex: Hatala-2020-MBX).
[Matkovic et al., 2020]
Kresimir Matkovic, Thomas Wischgoll, and David H. Laidlaw. Empirical Evaluations with Domain Experts. In Foundations of Data Visualization. LNCS-Springer, 2020. (pdf) (bibtex: Matkovic-2020-EED).
[Patel and Laidlaw, 2020]
Mohak Patel and David H. Laidlaw. Visualization of 3D stress tensor fields using superquadric glyphs on displacement streamlines. IEEE Transactions on Visualization and Computer Graphics, 2020. (pdf) (bibtex: Patel-2020-V3S).
[Yang et al., 2020]
Fumeng Yang, Jing Qian, Johannes Novotny, David Badre, Cullen Jackson, and David H. Laidlaw. A Virtual Reality Memory Palace Variant Aids Knowledge Retrieval from Scholarly Articles. IEEE Transactions on Visualization and Computer Graphics, 2020. (pdf) (bibtex: Yang-2020-VRM).
[Ziemkiewicz et al., 2020]
Caroline Ziemkiewicz, Min Chen, David H. Laidlaw, Bernhard Preim, and Daniel Weiskopf. Open challenges in empirical visualization research. In Foundations of Data Visualization. LNCS-Springer, 2020. (pdf) (bibtex: Cziemkiewicz-2020-OCE).

2019

[Abbott et al., 2019]
B Abbott, H Agata, T Boch, A Bock, D Brown, M Davies, C Emmart, J Faherty, A Gerndt, A A Goodman, C D Hansen, T Kwasnitschka, David H. Laidlaw, M A Magnor, T Mueller, J Eli, L Plesea, S Ratzenboeck, T P Robitaille, F Sadlo, W Steffen, G Stoeckle, M Subbarao, E A Valentijn, D Weiskopf, R Wyatt, and A Ynnerman. Astrographics: Interactive Data-Driven Journeys through Space (Dagstuhl Seminar 19262). Dagstuhl Follow-Ups, 2019. (pdf) (bibtex: Goodman-2019-AID).
[Akhbari et al., 2019]
Bardiya Akhbari, Douglas Moore, David H. Laidlaw, Edward Akelman, Arnold-Peter C. Weiss, Scott W. Wolfe, and Joseph J. Crisco. Two Distinct Carpal Bone Motion Patterns Revealed from a Kinematic Model. In 2019 Annual Meeting of the Orthopaedic Research Society. Orthopaedic Research Society, February 2003. (pdf) (bibtex: Akhbari-2019-TDC).
[Akhbari et al., 2019]
Bardiya Akhbari, Douglas Moore, David H. Laidlaw, Arnold-Peter C. Weiss, Scott W. Wolfe, and Joseph J. Crisco. Predicting carpal bone kinematics using an expanded digital database of wrist carpal bone anatomy and kinematics. Journal of Orthopedic Research, August 2019. (pdf) (bibtex: Akhbari-2019-PCB).
[Chen et al., 2019]
Jian Chen, Guohao Zhang Wesley Chiou, David H. Laidlaw, and A. P. Aachus. Measuring the Effects of Scalar and Spherical Colormaps on Ensembles of DMRI Tubes. In IEEE Transactions on Visualization and Computer Graphics, pages 1--1, Feb 2019. (pdf) (bibtex: Chen-2019-MES).
[Garcia-Egan et al., 2019]
Paola M Garcia-Egan, Rebecca Preston-Campbell, Lauren E Salminen, Jodi M Heaps-Woodruff, Lila Balla, Ryan Cabeen, David H. Laidlaw, Thomas E Conturo, and Robert H Paul. Behavioral inhibition corresponds to white matter fiber bundle integrity in older adults. Brain imaging and behavior, 13(6):1602--1611, 2019. (pdf) (bibtex: Garcia-2019-BIC).
[Novotny et al., 2019]
Johannes Novotny, Joshua Tveite, Morgan L. Turner, Stephen Gatesy, Fritz Drury, Peter Falkingham, and David H. Laidlaw. Developing Virtual Reality Visualizations for Unsteady Flow Analysis of Dinosaur Track Formation using Scientific Sketching. IEEE Transactions on Visualization and Computer Graphics, 25(5):2145--2154, May 2019. (pdf) (bibtex: Novotny-2019-DVR).
[Turner et al., 2019]
ML Turner, Johannes Novotny, PL Falkingham, David H. Laidlaw, and SM Gatesy. Where Does Footprint Morphology Come from? Developing Virtual Reality Visualizations for Exploring Dinosaur Track Formation. Journal of Morphology, Abstracts from 12th International Congress of Vertebrate Morphology, 280:S70--S70, 2019. (bibtex: Turner-2019-WDF).

2018

[Cabeen et al., 2018]
Ryan Cabeen, David H. Laidlaw, Amanda Ruggieri, and Daniel P Dickstein. Preliminary mapping of the structural effects of age in pediatric bipolar disorder with multimodal MR imaging. Psychiatry Research: Neuroimaging, 2018. (pdf) (bibtex: Cabeen-2018-PMS).
[Gramazio et al., 2018]
Connor Gramazio, Jeff Huang, and David H. Laidlaw. An Analysis of Automated Visual Analysis Classification: Interactive Visualization Task Inference of Cancer Genomics Domain Experts. IEEE Transactions on Visualization and Computer Graphics, 24(8), August 2018. (pdf) (bibtex: Gramazio-2018-AAV).
[Guerriero et al., 2018]
Jennifer L. Guerriero, Alaba Sotayo, Holly E. Ponichtera, Jessica A. Castrillon, Alexandra L. Pourzia, Sara Schad, Shawn F. Johnson, Ruben D. Carrasco, Susan B. Lazo, Roderick T. Bronson, David H. Laidlaw, et al. Abstract B35: Class IIa HDAC inhibition promotes an antitumor macrophage phenotype that induces breast tumor regression and inhibits metastasis. American Association for Cancer Research, 2018. (bibtex: Guerriero-2018-CIH).
[Guo and Laidlaw, 2018]
Hua Guo and David H. Laidlaw. Topic-based Exploration and Embedded Visualizations for Research Idea Generation. IEEE Transactions on Visualization and Computer Graphics, 2018. (pdf) (bibtex: Guo-2018-TEE).
[Mosaly et al., 2018]
Prithima Reddy Mosaly, Lukasz M Mazur, Fei Yu, Hua Guo, Derek Merck, David H. Laidlaw, Carlton Moore, Lawrence B Marks, and Javed Mostafa. Relating task demand, mental effort and task difficulty with physicians performance during interactions With Electronic Health Records (EHRs). International Journal of Human--Computer Interaction, pages 1--9, 2018. (pdf) (bibtex: Mosaly-2018-RTD).
[Novotny et al., 2018]
Johannes Novotny, Wesley R. Miller, Francois I Luks, Derek Merck, Scott Collins, and David H. Laidlaw. Towards Placental Surface Vasculature Exploration in Virtual Reality. IEEE Computer Graphics and Applications, 2018. (pdf) (bibtex: Novotny-2018-TPS).
[Novotny et al., 2018]
Johannes Novotny, Joshua Tveite, Morgan L. Turner, Stephen Gatesy, Fritz Drury, Peter Falkingham, and David H. Laidlaw. [Poster] Developing Virtual Reality Visualizations for Unsteady Flow Analysis of Dinosaur Track Formation using Scientific Sketching. In Proceedings of IEEE Vis (Posters). IEEE, 2018. (pdf) (bibtex: Novotny-2018-DVR).

2017

[Baker et al., 2017]
Laurie M. Baker, Sarah A. Cooley, Ryan Cabeen, David H. Laidlaw, John A. Joska, Jacqueline Hoare, Dan J. Stein, Jodi M. Heaps-Woodruff, Lauren E Salminen, and Robert H. Paul. Topological organization of whole-brain white matter in HIV infection. Brain connectivity, March 2017. (pdf) (bibtex: Baker-2017-TOW).
[Baker et al., 2017]
Laurie M. Baker, David H. Laidlaw, Ryan Cabeen, Erbil Akbudak, Thomas E Conturo, Stephen Correia, David F. Tate, Jodi M Heaps-Woodruff, Mathew R Brier, Jacob Bolzenius, Lauren E Salminen, Elizabeth M Lane, Amanda R McMichael, and Robert H Paul. Cognitive reserve moderates the relationship between neuropsychological performance and white matter fiber bundle length in healthy older adults. Brain Imaging and Behavior, June 2017. (pdf) (bibtex: Baker-2017-CRM).
[Obafemi-Ajayi et al., 2017]
Tayo Obafemi-Ajayi, Khalid Al-Jabery, Lauren Salminen, David H. Laidlaw, Ryan Cabeen, Donald Wunsch, and Robert Paul. Neuroimaging biomarkers of cognitive decline in healthy older adults via unified learning. pages 1--9,, 2017,. (bibtex: Obafemi-2017-NBC).
[Salminen et al., 2017]
Lauren E. Salminen, Peter R Schofield, Kerrie D Piere, Steven E Bruce, Michael G Griffin, David F. Tate, Ryan Cabeen, David H. Laidlaw, Thomas E Conturo, Jacob D Bolzenius, and Robert H. Paul. Vulnerability of white matter tracts and cognition to the SOD2 polymorphism: A preliminary study of antioxidant defense genes in brain aging. Behavioral Brain Research, June 2017. (pdf) (bibtex: Salminen-2017-VWM).

2016

[Baker et al., 2016]
Laurie M. Baker, Ryan Cabeen, Sarah Cooley, David H. Laidlaw, and Robert H. Paul. Application of a Novel Quantitative Tractography-based Analysis of Diffusion Tensor Imaging to Examine Fiber Bundle Length In Human Cerebral White Matter. Technology & Innovation, May 2016. (pdf) (bibtex: Baker-2016-ANQ).
[Cabeen et al., 2016]
Ryan Cabeen, Mark E Bastin, and David H. Laidlaw. A Comparative Evaluation of Voxel-based Spatial Mapping in Diffusion Tensor Imaging. NeuroImage, 2016. published (pdf) (bibtex: Cabeen-2016-CEV).
[Gomez et al., 2016]
Steven R. Gomez, Radu Jianu, Ryan Cabeen, Hua Guo, and David H. Laidlaw. Fauxvea: Crowdsourcing Gaze Estimates for Visualization Analysis Tasks. IEEE Transactions on Visualization and Computer Graphics, February 2016. (pdf) (bibtex: Gomez-2016-FCG).
[Gramazio et al., 2016]
Connor Gramazio, David H. Laidlaw, and Karen B. Schloss. Colorgorical: Creating discriminable and preferable color palettes for information visualization. IEEE Transactions on Visualization and Computer Graphics, 2016. (pdf) (bibtex: Gramazio-2016-CCD).
[Lages et al., 2016]
Wallace S Lages, Bireswar Laha, Wesley R. Miller, Johannes Novotny, David H. Laidlaw, John J Socha, and Doug A Bowman. Effects of field of regard and stereoscopy and the validity of MR simulation for visual analysis of scientific data. In Proceedings of IEEE Virtual Reality, pages 215--216. IEEE, 2016. (bibtex: Lages-2016-EFR).
[Lages et al., 2016]
Wallace S Lages, Gustavo A Arango, David H. Laidlaw, John J Socha, and Doug A Bowman. Designing capsule, an input device to support the manipulation of biological datasets. In IEEE Symposium on 3D User Interfaces (3DUI), pages 255--256. IEEE, 2016. (pdf) (bibtex: Lages-2016-DCI).
[Paul et al., 2016]
Robert H. Paul, Sarah Phillips, Jacqueline Hoare, David H. Laidlaw, Ryan Cabeen, Gayla R. Olbricht, Yuqing Su, Dan J. Stein, Susan Engelbrecht, Sorava Seedat, Lauren E. Salminen, Laurie M. Baker, Jodi Heaps, and John Joska. Neuroimaging abnormalities in clade C HIV are independent of Tat genetic diversity. Journal of NeuroVirology, 2016. (pdf) (bibtex: Paul-2016-NAC).

2015

[Cabeen et al., 2015]
Ryan Cabeen, Mark E Bastin, and David H. Laidlaw. Kernel Regression Estimation of Fiber Orientation Mixtures in Diffusion MRI. NeuroImage, 127:158--172, 2016. (bibtex: Cabeen-2015-KRE).
[Dickie et al., 2015]
David Alexander Dickie, Shadia Mikhael, Dominic E. Job, Joanna M. Wardlaw, David H. Laidlaw, and Mark Bastin. Permutation and parametric tests for effect sizes in voxel-based morphormetry of grey matter volume in brain structural MRI. In Magnetic Resonance Imaging, 2015. (pdf) (bibtex: Dickie-2015-PPT).
[Guo et al., 2015]
Hua Guo, Steven R. Gomez, Caroline Ziemkiewicz, and David H. Laidlaw. A Case Study Using Visualization Interaction Logs and Insight Metrics to Understand How Analysts Arrive at Insights. In Proceedings of IEEE VAST, 2015. (pdf) (bibtex: Guo-2015-CSU).
[Guo et al., 2015]
Hua Guo, Jeff Huang, and David H. Laidlaw. Representing Uncertainty in Graph Edges: An Evaluation of Paired Visual Variables. IEEE Transactions on Visualization and Computer Graphics, 2015. (pdf) (bibtex: Guo-2015-RUG).
[Halilaj et al., 2015]
Eni Halilaj, Douglas Moore, David H. Laidlaw, Christopher J. Got, Amy L. Ladd, Arnold-Peter C. Weiss, and jcrisco. The Articular Morphology of the First Caprpometacarpal Joint Does Not Differ between Men and Women, but Changes with Aging and Early Osteoarthritis . Journal of Biomechanics, pages Vol.47(11): pp 2709--14, 2015. published (bibtex: Halilaj-2015-OAW).
[Halilaj et al., 2015]
Eni Halilaj, Michael J. Rainbow, Douglas Moore, David H. Laidlaw, Arnold-Peter C. Weiss, Amy L. Ladd, and jcrisco. In vivo recruitment patterns in the anterior oblique and dorsoradial ligaments of the first carpometacarpal joint . Journal of Biomechanics, 2015. published (pdf) (bibtex: Halilaj-2015-RPA).
[Houde et al., 2015]
Scott Houde, Sheila Bonde, and David H. Laidlaw. An Evaluation of Three Methods for Visualizing Uncertainty in Architecture and Archaeology. In Proceedings of IEEE VAST (Posters), 2015. (pdf) (bibtex: Houde-2015-ETM).
[Leiserson et al., 2015]
Mark D.M. Leiserson, Connor Gramazio, Jason Hu, Hsin-Ta Wu, David H. Laidlaw, and Benjamin J. Raphael. MAGI: visualization and collaborative annotation of genomic aberrations. Nature Methods, 12(6):483--484, 2015. (pdf) (bibtex: Leiserson-2015-MVC).
[Piper et al., 2015]
Rory J. Piper, Shadia Mikhael, Joanna M. Wardlaw, David H. Laidlaw, Ian R. Whittle, , and Mark E. Bastin. Imaging signatures of meningioma and low-grade glioma: a diffusion tensor, magnetization transfer and quantitative longitudinal relaxation time MRI study. Magnetic Resonance Imaging, 2015. (pdf) (bibtex: Piper-2015-ISM).
[Salminen et al., 2015]
Lauren E. Salminen, Thomas Conturo, David H. Laidlaw, Ryan Cabeen, Erbil Akbudak, Elizabeth Lane, Jodi Heaps, Jacob Bolzenius, Laurie Baker, Sarah Cooley, Staci Scott, Lee Cagle, Sarah Phillips, and Robert H. Paul. Regional age differences in gray matter diffusivity among healthy older adults. Brain Imaging and Behavior, April 2015.
[Salminen et al., 2015]
Lauren E. Salminen, Peter R. Schofield, Kerrie D. Pierce, Thomas E. Conturo, David H. Laidlaw, Ryan Cabeen, Elizabeth M. Lane, Jodi M. Heaps, Jacob D. Bolzenius, Laurie M. Baker, Xi Luo, Erbil Akbudakd, and Robert H. Paul. Genetic markers of cholesterol transport and gray matter diffusion: A preliminary study of the CETP I405V polymorphism. Journal of Neural Transmission, pages 1--12, August 2015. (bibtex: Salminen-2015-GMC).
[Salminen et al., 2015]
Lauren Salminen, Peter Schofield, Kerrie Pierce, Yi Zhao, Xi Luo, Youdan Wang, David H. Laidlaw, Ryan Cabeen, Thomas Conturo, David Tate, Erbil Akbudak, Elizabeth Lane, Jodi Heaps, Jacob Bolzenius, Laurie Baker, Lee Cagle, and Robert Paul. Neuromarkers of the common angiotensinogen polymorphism in healthy older adults: A comprehensive assessment of white matter integrity and cognition. Behavioural Brain Research, August 2015. (pdf) (bibtex: Salminen-2015-NCA).

2014

[Baker et al., 2014]
Laurie M. Baker, David H. Laidlaw, Thomas E. Conturo, Joseph Hogan, Yi Zhao, Xi Luo, Stephen Correia, Ryan Cabeen, Elizabeth M. Lane, Jodi M. Heaps, Jacob Bolzenius, Lauren E. Salminen, Erbil Akbudak, Amanda R. McMichael, Christina Usher, Ashley Behrman, and Robert H. Paul. White matter changes with age utilizing quantitative diffusion MRI. Neurology, June 2014. (pdf) (bibtex: Baker-2014-WMC).
[Behrman et al., 2014]
Ashley M. Behrman, Christina Usher, Thomas E. Conturo, Stephen Correia, David H. Laidlaw, Elizabeth M. Lane, Jacob Bolzenius, Jodi M. Heaps, Lauren E. Salminen, Laurie M. Baker, Ryan Cabeen, Erbil Akbudak, Xi Luo, Peisi Yan, and Robert H. Paul. Fiber bundle length and cognition: A length-based tractography MRI study. Brain Imaging and Behavior, 2014. (pdf) (bibtex: Behrman-2014-FBL).
[Bolzenius et al., 2014]
Jacob D. Bolzenius, David H. Laidlaw, Ryan Cabeen, Thomas E. Conturo, Amanda R. McMichael, Elizabeth M. Lane, Jodi M. Heaps, Lauren E. Salminen, Laurie M. Baker, Staci E. Scott, Sarah A. Cooley, John Gunstad, and Robert H. Paul. Brain structure and cognitive correlates of body mass index in healthy older adults. Behavioral Brain Research, 2014. (pdf) (bibtex: Bolzenius-2014-BSC).
[Cabeen et al., 2014]
Ryan Cabeen, Mark E. Bastin, and David H. Laidlaw. Reproducibility of an Automated Regional Analysis of White Matter with Diffusion Imaging . In Proc. of the OHBM, 2014. (pdf) (bibtex: Cabeen-2014-RAR).
[Cabeen and Laidlaw, 2014]
Ryan Cabeen and David H. Laidlaw. Bilateral Filtering of Multiple Fiber Orientations in Diffusion MRI. In Proceedings of MICCAI Workshop on Computational Diffusion MRI, 2014. (pdf) (bibtex: Cabeen-2014-BFM).
[Cabeen and Laidlaw, 2014]
Ryan Cabeen and David H. Laidlaw. Diffusion Tractography of the Corticospinal Tract with Multi-fiber Orientation Filtering. In Proceedings of MICCAI DTI Tractography Challenge, 2014. (pdf) (bibtex: Cabeen-2014-DTC).
[Chen et al., 2014]
Jian Chen, Haipeng Cai, Alexander P. Auchus, and David H. Laidlaw. Gryphon: A Little Domain-Specific Programming Language for Diffusion MRI Visualizations. In Handbook of Human Centric Visualization, pages 41-61. Springer New York, 2014,. (bibtex: Chen-2014-GLD).
[Cooley et al., 2014]
Sarah A. Cooley, Ryan Cabeen, David H. Laidlaw, Elizabeth M. Lane, Jodi M. Heaps, Jacob D. Bolzenius, Laurie M. Baker, Lauren E. Salminen, Staci E. Scott, and Robert H. Paul. Posterior brain white matter abnormalities in older adults with probable mild cognitive impairment. Journal of Clinical and Experimental Neuropsychology, 2014. (pdf) (bibtex: Cooley-2014-PBW).
[Demiralp et al., 2014]
Cagatay Demiralp, Carlos E Scheiddegger, Gordon L Kindlmann, David H. Laidlaw, and Jeffrey Heer. Visual Embedding: A Model for Visualization. IEEE Computer Graphics and Applications, 20(1), January 2014. (bibtex: Demiralp-2014-VEM).
[Dickie et al., 2014]
David Alexander Dickie, Dominic E. Job, Joanna M. Wardlaw, David H. Laidlaw, and Mark Bastin. Evidence of non-normal distributions in brain imaging data from normal subjects: implications for diagnosis of disease. In Proceedings International Society for Magnetic Resonance in Medicine (ISMRM), 2014. (pdf) (bibtex: Dickie-2014-END).
[Gomez et al., 2014]
Steven R. Gomez, Hua Guo, Caroline Ziemkiewicz, and David H. Laidlaw. An Insight- and Task-based Methodology for Evaluating Spatiotemporal Visual Analytics. In Proceedings of IEEE VAST, 2014. (pdf) (bibtex: Gomez-2014-ITM).
[Gramazio et al., 2014]
Connor Gramazio, Karen B. Schloss, and David H. Laidlaw. The relation between visualization size, grouping, and user performance. In IEEE Transactions on Visualization and Computer Graphics, volume 20, pages 1953--1962, 2014. (pdf) (bibtex: Gramazio-2014-RVS).
[Halilaj et al., 2014]
Eni Halilaj, Douglas Moore, Tarpit K. Patel, David H. Laidlaw, Amy L. Ladd, Arnold-Peter C., and jcrisco. Thumb Carpometacarpal Joint Congruence during Functional Tasks and Thumb Range-of-Motion Activities . In Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014. published (pdf) (bibtex: Halilaj-2014-IEE).
[Halilaj et al., 2014]
Eni Halilaj, David H. Laidlaw, Douglas Moore, and jcrisco. Polar Histograms of Curvature for Quantifying Skeletal Joint Shape and Congruence . Journal of Biomechanical Engineering, pages 136(9), 094503, 2014. published (pdf) (bibtex: Halilaj-2014-JBE).
[Kenyon et al., 2014]
Anne Kenyon, John van Rosendale, Samuel Fulcomer, and David H. Laidlaw. The Design of a Retinal Resolution Fully Immersive VR Display. In Proceedings of IEEE Virtual Reality, 2014. (pdf) (bibtex: Kenyon-2014-DRR).
[Mostafavi et al., 2014]
Sara Mostafavi, Adriana Ortiz-Lopez, Molly A Bogue, Kimie Hattori, Cristina Pop, Daphne Koller, Diane Mathis, Christophe Benoist, David A Blair, Michael L Dustin, David H. Laidlaw, et al. Variation and Genetic Control of Gene Expression in Primary Immunocytes across Inbred Mouse Strains. The Journal of Immunology, 193(9):4485-4496, 2014. (bibtex: Mostafavi-2014-VGC).

2013

[Bolzenius et al., 2013]
Jacob D. Bolzenius, David H. Laidlaw, Ryan Cabeen, Thomas E. Conturo, Amanda R. McMichael, Elizabeth M. Lane, Jodi M. Heaps, Lauren E. Salminen, Laurie M. Baker, John Gunstad, and Robert H. Paul. Impact of body mass index on neuronal fiber bundle lengths among healthy older adults. Brain Imaging and Behavior, 2013. (bibtex: Bolzenius-2013-IBM).
[Cabeen et al., 2013]
Ryan Cabeen, Mark Bastin, and David H. Laidlaw. A Diffusion MRI Resource of 80 Age-varied Subjects with Neuropsychological and Demographic Measures. In Proceedings of ISMRM, 2013. (pdf) (bibtex: Cabeen-2013-DMR).
[Cabeen et al., 2013]
Ryan Cabeen, Mark Bastin, and David H. Laidlaw. Atlas-based multi-direction tractography using tensor registration and orientation statistics . In Proceedings of the OHBM, 2013. (pdf) (bibtex: Cabeen-2013-AMT).
[Cabeen et al., 2013]
Ryan Cabeen, Mark Bastin, and David H. Laidlaw. Estimating Constrained Multi-fiber Diffusion MR Volumes by Orientation Clustering. In Proceedings of MICCAI, 2013. (pdf) (bibtex: Cabeen-2013-ECM).
[Cabeen and Laidlaw, 2013]
Ryan Cabeen and David H. Laidlaw. White Matter Supervoxel Segmentation by Axial DP-means Clustering. In Proceedings of Workshop on Medical Computer Vision, MICCAI, 2013. (pdf) (bibtex: Cabeen-2013-WMS).
[Cai et al., 2013]
Haipeng Cai, Jian Chen, Alexander P. Auchus, and David H. Laidlaw. Composing DTI Visualizations with End-user Programming. arXiv preprint arXiv:1310.2923, 2013.
[Ergun et al., 2013]
A Ergun, G Doran, J C Costello, H H Paik, J J Collins, D Mathis, C Benoist, D A Blair, M L Dustin, S A Shinton, R R Hardy, T Shay, A Regevc, N Cohen, P Brennan, M Brenner, F Kim, T Nageswara Rao, A Wagers, T Heng, J Ericson, K Rothamel, A Ortiz-Lopez, T Kreslavsky, A Fletcher, K Elpek, A Bellemare-Pelletier, D Malhotra, S Turley, J Miller, B Brown, M Merad, E L Gautier, C Jakubzick, G J Randolph, P Monach, A J Best, J Knell, A Goldrath, V Jojic, D Koller, David H. Laidlaw, J Collins, R Gazit, D J Rossi, N Malhotra, K Sylvia, J Kang, N A Bezman, J C Sun, G Min-Oo, C C Kim, and L L Lanier. Differential splicing across immune system lineages. Proceedings of the National Academy of Sciences, 110(35):14324-14329, 2013. (bibtex: Ergun-2013-DSA).
[Guo et al., 2013]
Hua Guo, Arthur Yidi, Steven R. Gomez, Mark J. Schnitzer, David Badre, and David H. Laidlaw. Toward a Visual Interface for Brain Connectivity Analysis. In CHI '13 Extended Abstracts on Human Factors in Computing Systems, pages 1761-1766, 2013. (bibtex: Guo-2013-TVI).
[Halilaj et al., 2013]
Eni Halilaj, Michael J. Rainbow, Douglas Moore, David H. Laidlaw, and Joseph J. Crisco. In Vivo Modeling of the Anterior Oblique Ligament. In Proceedings of CMBBE, 2013. (pdf) (bibtex: Halilaj-2013-CMB).
[Halilaj et al., 2013]
Eni Halilaj, David H. Laidlaw, Douglas Moore, and jcrisco. How Do Sex, Age, and Osteoarthritis Affect Cartilage Thickness at the First Carpometacarpal Joint? Insights from Subject-Specific Modeling . In Proceedings of Bio-Imaging and Visualization for Patient-Customized Simulations—MICCAI Workshop, pages 103--111, 2013. published (bibtex: Halilaj-2013-MIC).
[Jianu and Laidlaw, 2013]
Radu Jianu and David H. Laidlaw. What google maps can do for biomedical data dissemination: examples and a design study. BMC research notes, 6(1):1-14, 2013. (bibtex: Jianu-2013-WGM).
[Jojic et al., 2013]
V Jojic, T Shay, K Sylvia, O Zuk, X Sun, J Kang, A Regev, D Koller, A J Best, J Knell, A Goldrath, N Cohen, P Brennan, M Brenner, F Kim, T N Rao, A Wagers, T Heng, J Ericson, K Rothamel, A Ortiz-Lopez, D Mathis, C Benoist, N A Bezman, J C Sun, G Min-Oo, C C Kim, L L Lanier, J Miller, B Brown, M Merad, E L Gautier, C Jakubzick, G J Randolph, P Monach, D A Blair, M L Dustin, S A Shinton, R R Hardy, David H. Laidlaw, J Collins, R Gazit, D J Rossi, N Malhotra, T Kreslavsky, A Fletcher, K Elpek, A Bellemare-Pelletier, D Malhotra, and S Turley. Identification of transcriptional regulators in the mouse immune system. Nature Immunololgy, 14:633-643, 2013. (bibtex: Jojic-2013-ITR).
[Keefe and Laidlaw, 2013]
Daniel Keefe and David H. Laidlaw. Virtual Reality Data Visualization for Team-Based STEAM Education: Tools, Methods, and Lessons Learned. In Virtual, Augmented and Mixed Reality. Systems and Applications, pages 179-187. Springer Berlin Heidelberg, 2013. (bibtex: Keefe-2013-VRD).
[Malhotra et al., 2013]
N Malhotra, K Narayan, O H Cho, K E Sylvia, C Yin, H Melichar, M Rashighi, V Lefebvre, J E Harris, L J Berg, J Kang, E L Gautier, C Jakubzick, G J Randolph, J A Best, J Knell, A Goldrath, J Miller, B Brown, M Merad, V Jojic, D Koller, N Cohen, P Brennan, M Brenner, T Shay, A Regev, A Fletcher, K Elpek, A Bellemare-Pelletier, D Malhotra, S Turley, Radu Jianu, David H. Laidlaw, J Collins, K Sylvia, R Gazit, B Garrison, D J Rossi, F Kim, T N Rao, A Wagers, S A Shinton, R R Hardy, P Monach, N A Bezman, J C Sun, C C Kim, L L Lanier, T Heng, T Kreslavsky, M Painter, J Ericson, S Davis, D Mathis, and C Benoist. A network of high-mobility group box transcription factors programs innate interleukin-17 production. Immunity, 38:681-693, 2013. (bibtex: Malhotra-2013-NHM).
[Mingueneau et al., 2013]
M Mingueneau, T Kreslavsky, D Gray, T Heng, R Cruse, J Ericson, S Bendall, M H Spitzer, G P Nolan, K Kobayashi, H Boehmer, D Mathis, C Benoist, A J Best, J Knell, A Goldrath, V Jojic, D Koller, T Shay, A Regev, N Cohen, P Brennan, M Brenner, F Kim, T N Rao, A Wagers, K Rothamel, A Ortiz-Lopez, N A Bezman, J C Sun, G Min-Oo, C C Kim, L L Lanier, J Miller, B Brown, M Merad, E L Gautier, C Jakubzick, G J Randolph, P Monach, D A Blair, M L Dustin, S A Shinton, R R Hardy, David H. Laidlaw, J Collins, R Gazit, D J Rossi, N Malhotra, K Sylvia, J Kang, A Fletcher, K Elpek, A Bellemare-Pelletier, D Malhotra, and S Turley. The transcriptional landscape of alpha beta T cell differentiation. Nature Immunololgy, 14:619-632, 2013. (bibtex: Mingueneau-2013-TLA).
[Salminen et al., 2013]
Lauren E. Salminen, Peter R. Schofield, Elizabeth M. Lane, Jodi M. Heaps, Kerrie D. Pierce, Ryan Cabeen, David H. Laidlaw, Erbil Akbudak, Thomas E. Conturo, Stephen Correia, , and Robert H. Paul. Neuronal fiber bundle lengths in healthy adult carriers of the ApoE4 allele: A quantitative tractography DTI study . Brain Imaging and Behavior, 7(3):274-281, September 2013. (bibtex: Salminen-2013-NFB).
[Zhou et al., 2013]
Wenjin Zhou, Edward Walsh, and David H. Laidlaw. DoubleAx: In-vivo Axom Measurement in the Human Corpus Callosum Using Angular Double-PFG MRI. In Proceedings of OHBM, 2013. (pdf) (bibtex: Zhou-2013-DIA).

2012

[Cabeen et al., 2012]
Ryan Cabeen, Daniel Dickstein, and David H. Laidlaw. Characterization of Pediatric Bipolar Disorder with Quantitative HARDI Tractography Metrics. In Proceedings of ISMRM, 2012. (pdf) (bibtex: Cabeen-2012-CPB).
[Cai et al., 2012]
H. Cai, Jian Chen, A. Aachus, Stephen Correia, and David H. Laidlaw. InShape: In-Situ Shape-Based Interactive Multiple-View Exploration of Diffusion MRI Visualizations. In Advances in Visual Computing, Proc. ISVC, pages 706-715. Springer, 2012. (bibtex: Cai-2012-ISI).
[Chen et al., 2012]
Jian Chen, H. Cai, David H. Laidlaw, and A. P. Aachus. The effects of seeding resolution on diffusion tensor imaging streamtube visualization comprehension. In Alzheimer's & Dementia, volume 8, page P59, 2012. (bibtex: Chen-2012-ESR).
[Chen et al., 2012]
Jian Chen, H. Cai, A. P. Aachus, and David H. Laidlaw. Effects of Stereo and Screen Size on the Legibility of Three-Dimensional Streamtube Visualization. In IEEE Transactions on Visualization and Computer Graphics (Proc. IEEE SciVis), volume 18, pages 2130-2139, 2012. (bibtex: Chen-2012-ESS).
[Demiralp et al., 2012]
Cagatay Demiralp, Radu Jianu, and David H. Laidlaw. Exploring Brain Connectivity with Two-dimensional Maps. In New Developments in the Visualization and Processing of Tensor Fields. LNCS-Springer, 2012. (pdf) (bibtex: Demiralp-2012-EBC).
[Ericson et al., 2012]
J Ericson, M Painter, S Davis, C Laplace, G Hyatt, H Paik, K Rothamel, R Cruse, G Doran, T Heng, N Asinovski, Ortiz-A Lopes, A Ergun, D Gray, E Wakamatsu, J Hill, M Mingueneau, D Cipoletta, H Yoshida, C Benoist, D Mathis, N Cohen, E Kim, P Brennan, L Lynch, M Brenner, J Costello, JJ Collins, D Blair, M Dustin, J Knell, E Yang, A Best, L Shaw, A Doedens, A Goldrath, S Shinton, Y Zhou, R Hardy, V Jojic, S Mostafavi, D Koller, Radu Jianu, David H. Laidlaw, N Bezman, J Sun, Y Zhu, D Hendricks, Y Kamimura, G Min-Oo, M Morvan, T Nabekura, V Lam, C Kim, L Lanier, M Greter, J Helft, A Chow, M Bogunovic, A Mortha, J Price, D Hashimoto, J Miller, P Sathe, A Chudnovskiy, Y Lavin, J Idoyaga, M Merad, E Gautier, C Jakubzick, D' J Angelo, G Randolph, T Shay, A Regev, R Gazit, Rossi D, T Kreslawsky, Bohmer H von, A Bellemare-Pelletier, K Elpek, L Spelv, A Fletcher, D Malhotra, V Cremasco, S Turley, F Kim, TN Rao, A Wagers, and Immunological Genome Project. Identification of transcriptional regulators in the mouse immune system. Consortium biology in immunology: the perspective from the Immunological Genome Project, epub, 2012. (bibtex: Ericson-2012-NRI).
[Gautier et al., 2012]
Emmanuel L Gautier, Tal Shay, Jennifer Miller, Melanie Greter, Claudia Jakubzick, Stoyan Ivanov, Julie Helft, Andrew Chow, Kutlu G Elpek, Simon Gordonov, Amin R Mazloom, Avi Ma'ayan, Wei-Jen Chua, Ted H Hansen, Shannon J Turley, Miriam Merad, Gwendalyn J Randolph, The Immunological Genome Consortium, David H. Laidlaw, and Radu Jianu. Gene-expression profiles and transcriptional regulatory pathways that underlie the identity and diversity of mouse tissue macrophages. Nature Immunology, 13:1118-1128, 2012. (bibtex: Gautier-2012-GPT).
[Gomez and Laidlaw, 2012]
Steven R. Gomez and David H. Laidlaw. Modeling Task Performance for a Crowd of Users from Interaction Histories. In Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI), Best Note Honorable Mention, 2012. (pdf) (bibtex: Gomez-2012-MTP).
[Gomez et al., 2012]
Steven R. Gomez, Radu Jianu, Caroline Ziemkiewicz, Hua Guo, and David H. Laidlaw. Different Strokes for Different Folks: Visual Presentation Design between Disciplines. In IEEE Transactions on Visualization and Computer Graphics (Proc. InfoVis), volume 18, pages 2411-2420, 2012. (pdf) (bibtex: Gomez-2012-DSD).
[Guo et al., 2012]
Hua Guo, Diem Tran, and David H. Laidlaw. Incorporating GOMS Analysis into the Design of an EEG Data Visual Analysis Tool. In Proceedings of IEEE InfoVis (Posters), 2012. (pdf) (bibtex: Guo-2012-IGA).
[Jianu et al., 2012]
Radu Jianu, Wenjin Zhou, Ryan Cabeen, Daniel Dickstein, and David H. Laidlaw. Visualizing tractography metrics of cortical-connectivity integrity in diffusion imaging. In ISMRM, 2012. (pdf) (bibtex: Jianu-2012-VTM).
[Jianu and Laidlaw, 2012]
Radu Jianu and David H. Laidlaw. An Evaluation of How Small User Interface Changes Can Improve Scientists Analytic Strategies. In Proceedings of the SIGCHI conference on human factors in computing systems, 2012. (pdf) (bibtex: Jianu-2012-EHS).
[Laidlaw and Vilanova, 2012]
David H. Laidlaw and A. Vilanova. New Developments in the Visualization and Processing of Tensor Fields. Springer, 2012;. (bibtex: Laidlaw-2012-NDV).
[Miles and Laidlaw, 2012]
Jadrian Miles and David H. Laidlaw. Predicting DTI Tractography Uncertainty from Diffusion-Weighted-Image Noise. In Proceedings of ISMRM, 2012. (pdf) (bibtex: Miles-2012-PDT).
[Miller et al., 2012]
Jennifer C Miller, Brian D Brown, Tal Shay, Emmanuel L Gautier, Vladimir Jojic, Ariella Cohain, Gaurav Pandey, Marylene Leboeuf, Kutlu G Elpek, Julie Helft, Daigo Hashimoto, Andrew Chow, Jeremy Price, Melanie Greter, Milena Bogunovic, Angelique Bellemare-Pelletier, Paul S Frenette, Gwendalyn J Randolph, Shannon J Turley, Miriam Merad, The Immunological Genome Consortium, David H. Laidlaw, and Radu Jianu. Deciphering the transcriptional network of the dendritic cell lineage. Nature Immunology, 13:888-899, 2008. (bibtex: Miller-2012-DTN).
[Penney et al., 2012]
Devon Penney, Jian Chen, and David H. Laidlaw. Effects of illumination, texture, and motion on task performance in 3D tensor-field streamtube visualizations. In Proc. PacificVis 2012, pages 87-104, 2012. (bibtex: Penney-2012-EIT).
[Rainbow et al., 2012]
Michael J. Rainbow, Joseph J. Crisco, Douglas Moore, Robin N. Kamal, David H. Laidlaw, Edward Akelman, and Scott W. Wolfe. Elongation of the Dorsal Carpal Ligaments: A Computational Study of In Vivo Carpal Kinematics. The Journal of Hand Surgery, 2012. (bibtex: Rainbow-2012-EDC).
[Ziemkiewicz et al., 2012]
Caroline Ziemkiewicz, Steven R. Gomez, and David H. Laidlaw. Analysis Within and Between Graphs: Observed User Strategies in Immunobiology Visualization. In ACM CHI, 2012. (pdf) (bibtex: Cziemkiewicz-2012-AGO).

2011

[Cai et al., 2011]
Haipeng Cai, Jian Chen, A P Aachus, J Huang, and David H. Laidlaw. Measuring Seeding Resolution Dependence of Diffusion Tensor Streamtube Visualization. In IEEE Visualization 2011 Poster Compendium, 2011. (bibtex: Cai-2011-MSR).
[Demiralp and Laidlaw, 2011]
Cagatay Demiralp and David H. Laidlaw. Generalizing Diffusion Tensor Model using Probabilistic Inference in Markov Random Fields. In Proceedings of ISMRM, 2011. (bibtex: Demiralp-2011-GDT).
[Demiralp and Laidlaw, 2011]
Cagatay Demiralp and David H. Laidlaw. Generalizing Diffusion Tensor Model using Probabilistic Inference in Markov Random Fields. In Proceedings of MICCAI CDMRI Workshop, 2011. (bibtex: Demiralp-2011-MRF).
[Demiralp and Laidlaw, 2011]
Cagatay Demiralp and David H. Laidlaw. Theories of Visualization: Are There Any? . VisWeek'11 Panel, 2011. (pdf) (bibtex: Demiralp-2011-TVS).
[Gomez and Laidlaw, 2011]
Steven R. Gomez and David H. Laidlaw. Modeling Human Performance from Visualization Interaction Histories. In Proceedings of IEEE InfoVis (Posters), 2011. (pdf) (bibtex: Gomez-2011-MHP).
[Gongvatana et al., 2011]
Assawin Gongvatana, Ronald Cohen, Stephen Correia, Kathryn N. Devlin, Jadrian Miles, Hakmook Kang, Hernando Ombao, Bradford Navia, David H. Laidlaw, and Karen T. Tashima. Clinical contributors to cerebral white matter integrity in HIV-infected individuals. Journal of Neurovirology, 17(5):477--486, 2011. (pdf) (bibtex: Gongvatana-2011-CCC).
[Huang et al., 2011]
J Huang, Jian Chen, H Cai, R P Friedland, M Z Koubeissi, David H. Laidlaw, and A P Auchus. Diffusion Tensor MRI Tractography reveals altered brainstem fiber connections accompanying agenesis of the corpus callosum. Annals of Neurology (Suppl 15), 2011. (bibtex: Huang-2011-DTM).
[Jianu et al., 2011]
Radu Jianu, Cagatay Demiralp, and David H. Laidlaw. Exploring brain connectivity with two-dimensional neural maps. IEEE TVCG, 2011. (pdf) (bibtex: Jianu-2011-EBJ).
[Jianu et al., 2011]
Radu Jianu, Cagatay Demiralp, and David H. Laidlaw. Exploring brain connectivity with two-dimensional neural maps. IEEE TVCG, 2011. (pdf) (bibtex: Jianu-2011-EBJ).
[Jianu and Laidlaw, 2011]
Radu Jianu and David H. Laidlaw. Guiding Visualization Users Towards Improved Analytic Strategies Using Small Interface Changes. In IEEE Visualization 2010 Poster Compendium, 2011. (pdf) (bibtex: Jianu-2011-GVU).
[Li et al., 2011]
Guangxia Li, Andrew C. Bragdon, Zhigeng Pan, Mingmin Zhang, Sharon Swartz, David H. Laidlaw, Chaoyang Zhang, Hanyu Liu, and Jian Chen. VisBubbles: a workflow-driven framework for scientific data analysis of time-varying biological datasets, 2011. (pdf) (bibtex: Li-2011-VWF).
[Painter et al., 2011]
Michio W. Painter, Scott Davis, Richard R. Hardy, Diane Mathis, Christophe Benoist, The Immunlological Genome Project Consortium, David H. Laidlaw, and Radu Jianu. Transcriptomes of the B and T Lineages Compared by Multiplatform Microarray Profiling. Journal of Immunology, 186(5):3047-3057, 2011. (bibtex: Painter-2011-TBT).
[Pfautz et al., 2011]
Stacy Lovell Pfautz, Bruce Skarin, Cullen Jackson, and David H. Laidlaw. Adaptive agents for real-time data-driven visualization and analysis for relevant knowledge (AARDVARK). In Proceedings HSCB Focus 2011 conference (poster), 2011. (bibtex: Pfautz-2011-AAR).
[Xu et al., 2011]
Liming Xu, Jeremy Lyle, Yubao Wu, Zhigeng Pan, Mingmin Zhang, David H. Laidlaw, Robert L. Hester, and Jian Chen. HumMod explorer: a multi-scale time-varying human modeling navigator, 2011. (bibtex: Xu-2011-HEM).
[Zhou and Laidlaw, 2011]
Wenjin Zhou and David H. Laidlaw. Measurement of axon radii distribution in orientationally unknown tissue using angular double-pulsed gradient spin echo (double-PGSE) NMR. In ISMRM, 2011. (pdf) (bibtex: Zhou-2011-MAR).
[Zhou and Laidlaw, 2011]
Wenjin Zhou and David H. Laidlaw. Inferring Axon Properties with d-PGSE MRI using Analytical Water Diffusion Model. In CONNECT meeting (MRI of brain microstructure and connectivity), Tel Aviv, Israel, Feb, 2011 2011. (pdf) (bibtex: Zhou-2011-IAP).

2010

[Boller et al., 2010]
Ryan Boller, Scott A. Braun, Jadrian Miles, and David H. Laidlaw. Application of uncertainty visualization methods to meteorological trajectories. Earth Science Informatics, 3(1-2):119-126, June 2012. (pdf) (bibtex: Boller-2010-AUV).
[Chen et al., 2010]
Jian Chen, Daniel K. Riskin, Tatjana Y. Hubel, David Willis, Arnold Song, Hanyu Liu, Kenneth Breuer, Sharon Swartz, and David H. Laidlaw. Exploration of Bat Wing Morphology Through A Strip Method and Visualization. In SIGGRAPH (talk), 2010. (pdf) (bibtex: Chen-2010-STI).
[Demiralp and Laidlaw, 2010]
Cagatay Demiralp and David H. Laidlaw. Tract-based Probability Densities of Diffusivity Measures in DT-MRI. In Proceedings of MICCAI, 2010. (pdf) (bibtex: Demiralp-2010-TPD).
[Gomez et al., 2010]
Steven R. Gomez, Radu Jianu, and David H. Laidlaw. A Fiducial-Based Tangible User Interface for White Matter Tractography. In Proceedings of ISVC, 2010. (pdf) (bibtex: Gomez-2010-FBT).
[Gongvatana et al., 2010]
Assawin Gongvatana, Ronald A. Cohen, Stephen Correia, Kathryn N. Devlin, Jadrian Miles, Uraina S. Clark, Michelle Westbrook, George Hana, Hakmook Kang, Hernando Ombao, Bradford Davia, David H. Laidlaw, and Karen Tashima. Impact of Hepatitis C and HIV Coinfection on Cerebral White Matter Integrity. Neurology, 2010. (pdf) (bibtex: Gongvatana-2010-IHC).
[Halilaj et al., 2010]
Eni Halilaj, Stephen Correia, David H. Laidlaw, and Steven Salloway. A Quantitative Tractography Approach for Exploring Associations between White Matter Pathways and Cognitive Functions. In Proceedings of ISMRM, 2010. (pdf) (bibtex: Halilaj-2010-ISM).
[Halilaj et al., 2010]
Eni Halilaj, Stephen Correia, David H. Laidlaw, and salloway. A Quantitative Tractography Approach for Exploring Associations between White Matter Pathways and Cognitive Functions . In Proceedings of ISMRM, 2010. poster (pdf) (bibtex: Halilaj-2010-MRM).
[Hege et al., 2010]
Hans-Christian Hege, David H. Laidlaw, and Raghu Machiraju. Guest Editors' Introduction: Special Section on Volume Graphics and Point-Based Graphics, IEEE TVCG 16(4). IEEE, 2009,. (bibtex: Hege-2010-VGP).
[Jianu et al., 2010]
Radu Jianu, Cagatay Demiralp, and David H. Laidlaw. Visualizing and exploring tractograms via two-dimensional connectivity maps. In Proceedings of ISMRM'10, 2010. (pdf) (bibtex: Jianu-2010-VET).
[Jianu et al., 2010]
Radu Jianu, Cagatay Demiralp, and David H. Laidlaw. Exploring brain connectivity with two-dimensional neural maps. In IEEE Visualization 2010 Poster Compendium (Best Poster Award), 2010. (pdf) (bibtex: Jianu-2010-EBC).
[Jianu and Laidlaw, 2010]
Radu Jianu and David H. Laidlaw. Visualizing Gene Co-Expression as Google Maps. In ISVC Proceedings 2010, 2010. (pdf) (bibtex: Jianu-2010-VGC).
[Jianu and Laidlaw, 2010]
Radu Jianu and David H. Laidlaw. Visualizing Protein Interaction Networks as Google Maps. In IEEE Visualization 2010 Poster Compendium, 2010. (pdf) (bibtex: Jianu-2010-VPI).
[Meyer et al., 2010]
Joerg Meyer, Jim Thomas, Stephan Diehl, Brian Fisher, Daniel Keim, David H. Laidlaw, Silvia Miksch, Klaus Mueller, William Ribarsky, Bernhard Preim, and Anders Ynnerman. From visualization to visually enabled reasoning. Dagstuhl Follow-Ups, (1), 2010. (pdf) (bibtex: Meyer-2010-VVE).
[O'Brien et al., 2010]
Trevor M. O'Brien, Anna M. Ritz, Benjamin J. Raphael, and David H. Laidlaw. Gremlin: An Interactive Visualization Model for Analyzing Genomic Rearrangements. IEEE Trans. on Visualization and Computer Graphics (Proc. Information Visualization '10), 2010. (pdf) (bibtex: OBrien-2010-GIV).
[Tate et al., 2010]
David F. Tate, Jared Conley, Robert H. Paul, Kathryn Coop, Song Zhang, Wenjin Zhou, David H. Laidlaw, Lynn E. Taylor, Timothy Flanigan, Bradford Navia, Ronald Cohen, and Karen Tashima. Quantitative Diffusion Tensor Imaging Tractography Metrics are Associated with Cognitive Performance Among HIV-Infected Patients. Brain Imaging and Behavior, 4:68-79, 2010. (pdf) (bibtex: Tate-2010-QDT).
[Zhou and Laidlaw, 2010]
Wenjin Zhou and David H. Laidlaw. Inferring Axon Properties with double-PGSE MRI using Analytical Water Diffusion Model. In In Proceedings of ISMRM, chosen for podium talk, 2010. (pdf) (bibtex: Zhou-2010-IAP).
[Zhou et al., 2010]
Wenjin Zhou, David H. Laidlaw, and Matt G. Hall. Inferring Microstructural Properties Using Angular Double Pulsed Gradient Spin Echo NMR in Orientationally Unknown Tissue. In Proceedings of CDMRI Workshop at MICCAI 2010, 2010. (pdf) (bibtex: Zhou-2010-IMP).

2009

[Bragdon and Laidlaw, 2009]
Andrew Bragdon and David H. Laidlaw. The design and evaluation of a lightweight multi-view interaction metaphor for 3D visualization in the CAVE. In Proceesings SIGGRAPH, Posters Program, 2009. (bibtex: Bragdon-2009-DEL).
[Chen et al., 2009]
Jian Chen, Doug A. Bowman, and David H. Laidlaw. Poster: A hybrid direct visual editing method for architectural massing study in virtual environments. In Proceedings IEEE Symposium on 3D User Interfaces, Posters Program, 2009. (bibtex: Chen-2009-PHD).
[Demiralp et al., 2009]
Cagatay Demiralp, John F. Hughes, and David H. Laidlaw. Coloring 3D Line Fields Using Boy's Real Projective Plane Immersion. IEEE Trans. on Visualization and Computer Graphics (Proc. Visualization '09), 15(6):1457-1463, 2009. (pdf) (bibtex: Demiralp-2009-CLF).
[Demiralp and Laidlaw, 2009]
Cagatay Demiralp and David H. Laidlaw. Similarity Coloring of DTI Fiber Tracts. In Proceedings of DMFC Workshop at MICCAI, 2009. (pdf) (bibtex: Demiralp-2009-SCF).
[Forsberg et al., 2009]
Andrew Forsberg, Jian Chen, and David H. Laidlaw. Comparing 3D Vector Field Visualization Methods: A User Study. In Proceedings of IEEE Visualization, pages 1219-1226, 2009. (pdf) (bibtex: Forsberg-2009-CFM).
[Halilaj et al., 2009]
Eni Halilaj, Cagatay Demiralp, Stephen Correia, and David H. Laidlaw. Quantitative Tractography Metrics of White Matter Integrity in Diffusion-Tensor MRI Using Diffusivity Scalars. In In Proceedings of ISMRM, 2009. (pdf) (bibtex: Halilaj-2009-ISM).
[Jankun-Kelly et al., 2009]
T. J. Jankun-Kelly, Song Zhang, A. C. Callan-Jones, Robert A. Pelcovits, V. A. Slavin, and David H. Laidlaw. Tensor Visualization and Defect Detection for Nematic Liquid Crystals using Shape Characteristics. In Visualization and Processing of Tensor Fields: Advances and Perspectives, pages 213-238. Springer-Verlag, 2009. (bibtex: JankunKelly-2009-TVD).
[Jianu et al., 2009]
Radu Jianu, Kebing Yu, Vinh Nguyen, Lulu Cao, Arthur Salomon, and David H. Laidlaw. Visual integration of quantitative proteomic data, pathways and protein interactions. IEEE Trans. on Visualization and Computer Graphics, September 2009. (pdf) (doc) (bibtex: Jianu-2009-EVI).
[Jianu et al., 2009]
Radu Jianu, Adrian Rusu, Andrew Fabian, and David H. Laidlaw. A Coloring Solution to the Edge Crossing Problem. In Proceedings of the 12th Conference on Information Visualisation, 2009. (pdf) (bibtex: Jianu-2009-CSE).
[Jianu et al., 2009]
Radu Jianu, Cagatay Demiralp, and David H. Laidlaw. Exploring 3D DTI fiber-tracts with linked 2D representations. IEEE Trans. on Visualization and Computer Graphics (Proc. Visualization '09), 15(6):1449-1456, 2009. (pdf) (bibtex: Jianu-2009-E3D).
[Kostandov et al., 2009]
Mykhaylo Kostandov, Jian Chen, Igor Pivkin, Daniel K. Riskin, Dave Willis, Sharon Swartz, and David H. Laidlaw. Visual Analysis of Dimensionality Reduction in an Interactive Virtual Environment for Exploring Bat Flight Kinematics. In Proceedings of the Joint Virtual Reality Conference of EGVE-ICAT-EuroVR, 2009. In Press (pdf) (bibtex: Chen-2009-POD).
[Laidlaw, 2009]
David H. Laidlaw, 2009. Unknown (pdf) (bibtex: Paul-2009-HIV).
[Laidlaw and Weickert, 2009]
David H. Laidlaw and Joachim Weickert. Visualization and Processing of Tensor Fields: Advances and Perspectives,. Springer, 2009,. (bibtex: Laidlaw-2009-VPT).
[Marai et al., 2009]
G. Elisabeta Marai, Joseph J. Crisco, and David H. Laidlaw. Development of a kinematic 3D carpal model to analyze in vivo soft-tissue interaction across multiple static postures. Proc. Engineering in Medicine and Biology Society, pages 7176-7179, 2009. (pdf) (bibtex: Marai-2009-DK3).
[Miles et al., 2009]
Jadrian Miles, Ronald Cohen, and David H. Laidlaw. Tradeoffs in Supersampling of DTI Metrics. In Proceedings of ISMRM, 2009. (bibtex: Miles-2009-TIS).
[Nguyen et al., 2009]
Vinh Nguyen, Lulu Cao, Jonathan Lin, Anna Ritz, Norris Hung, Radu Jianu, Benjamin Raphael, David H. Laidlaw, Laurent Brossay, and Arthur Salomon. A New Approach for Quantitative Phosphoproteomic Dissection of Signaling Pathways Applied to T Cell Receptor Activation. Molecular and Cellular Proteomics, 8(11):2418-2431, 2009. (bibtex: Nguyen-2009-NAQ).
[Srinivas et al., 2009]
Mangala Srinivas, Michael S. Turner, Jelena M. Janjic, Penelope A. Morel, David H. Laidlaw, and Eric T. Ahrens. In Vivo Cytometry of Antigen-Specific T Cells Using 19F MRI. Magnetic Resonance in Medicine, 34(6):747-753, 2009. (pdf) (bibtex: Srinivas-2009-IVC).
[Zhou and Laidlaw, 2009]
Wenjin Zhou and David H. Laidlaw. An Analytical Model of Diffusion and Exchange of Water in White Matter from Diffusion-MRI and its Application in Measuring Axon Radii. In Proceedings of ISMRM, chosen for podium talk, 2009. (pdf) (bibtex: Zhou-2009-AAM).

2008

[Acevedo et al., 2008]
Daniel Acevedo, Cullen Jackson, David H. Laidlaw, and Fritz Drury. Using Visual Design Experts in Critique-based Evaluation of 2D Vector Visualization Methods. IEEE Transactions on Visualization and Computer Graphics, 14(4):877-884, July 2008. (pdf) (bibtex: Acevedo-2008-UVD).
[Correia et al., 2008]
Stephen Correia, David H. Laidlaw, David Tate, Stephanie Lee, Thom Voorn, Robert Paul, Song Zhang, Steven Salloway, and Paul Malloy. Quantitative Tractography Metrics of White Matter Integrity in Diffusion Tensor MRI. Neuroimage, 2008. (pdf) (bibtex: Correia-2008-QTM).
[Demiralp et al., 2008]
Cagatay Demiralp, Gregory Shakhnarovich, Song Zhang, and David H. Laidlaw. Slicing-based coherence measure for refining clusters of 3D curves. In Proceedings of MICCAI, 2008. (pdf) (bibtex: Demiralp-2008-SCM).
[Demiralp et al., 2008]
Cagatay Demiralp, John F. Hughes, and David H. Laidlaw. Using Boy's Real Projective Plane Immersion for Coloring DT-MRI Slices. In Proceedings of ISMRM, 2008. (bibtex: Demiralp-2008-UBR).
[Epstein et al., 2008]
S Epstein, Stephen Correia, A. MacKay-Brandt, David H. Laidlaw, Paul Malloy, and Steven Salloway. Superior longitudinal fasciculus and working memory in CADASIL. INS, 2008. (pdf) (doc) (bibtex: Epstein-2008-SLF).
[Keefe et al., 2008]
Daniel Keefe, Daniel Acevedo, Jadrian Miles, Fritz Drury, Sharon Swartz, and David H. Laidlaw. Scientific Sketching for Collaborative VR Visualization Design. IEEE Transactions on Visualization and Computer Graphics, 14(4):835-847, July-August 2008. (pdf) (bibtex: Keefe-2008-SSF).
[Keefe et al., 2008]
Daniel Keefe, Trevor M. O'Brien, David B. Baier, Stephen M. Gatesy, Elizabeth L. Brainerd, and David H. Laidlaw. Exploratory Visualization of Animal Kinematics Using Instantaneous Helical Axes. Computer Graphics Forum (EuroVis 2008 Special Issue), 27(3):863-870, 2008. (pdf) (bibtex: Keefe-2008-EVA).
[Keefe et al., 2008]
Daniel Keefe, Robert Zeleznik, and David H. Laidlaw. Tech-note: Dynamic Dragging for Input of 3D Trajectories. In IEEE Symposium on 3D User Interfaces, 2008. (pdf) (bibtex: Keefe-2008-TDD).
[Kosara et al., 2008]
Robert Kosara, Fritz Drury, Lars E. Holmquist, and David H. Laidlaw. Visualization Criticism. IEEE Computer Graphics and Applications, 28(3):13-15, 2008. (bibtex: Kosara-2008-VCX).
[Kostandov et al., 2008]
Mykhaylo Kostandov, Jian Chen, Igor Pivkin, Sharon Swartz, and David H. Laidlaw. Exploring Dimensionality Reduction of Animal Flight Kinematics in an Interactive Virtual Reality Setting. ACM I3D Symposium on Interactive 3D Graphics and Games, Posters Program, February 2008. (pdf) (bibtex: Kostandov-2008-EDR).
[LaViola et al., 2008]
Joseph LaViola, Andrew Forsberg, David H. Laidlaw, and Andries van Dam. Virtual Reality-Based Interactive Scientific Visualization Environments. Springer-Verlag London Limited, pages 225-250, 2008. (pdf) (bibtex: LaViola-2008-VRB).
[Miller et al., 2008]
Jennifer C Miller, Brian D Brown, Tal Shay, Emmanuel L Gautier, Vladimir Jojic, Ariella Cohain, Gaurav Pandey, Marylene Leboeuf, Kutlu G Elpek, Julie Helft, Daigo Hashimoto, Andrew Chow, Jeremy Price, Melanie Greter, Milena Bogunovic, Angelique Bellemare-Pelletier, Paul S Frenette, Gwendalyn J Randolph, Shannon J Turley, Miriam Merad, The Immunological Genome Consortium, David H. Laidlaw, and Radu Jianu. Deciphering the transcriptional network of the dendritic cell lineage. Nature Immunology, 13:888-899, 2008. (bibtex: Heng-2008-IGP).
[O'Brien et al., 2008]
Trevor M. O'Brien, Daniel Keefe, and David H. Laidlaw. A Case Study in Using Gestures and Bimanual Interaction to Overload a High-DOF Input Device. ACM I3D Symposium on Interactive 3D Graphics and Games, Posters, February 2008. (bibtex: OBrien-2008-CSU).
[Patel et al., 2008]
K. Patel, Stephen Correia, J. Foley, E. Schlicting, Song Zhang, David H. Laidlaw, and Steven Salloway. Grey and White Matter Changes on MRI and Diffusion-Tensor Imaging and Cognitive Function in Mild Cognitive Impairment. INS, February 2008. Unknown (doc) (bibtex: Patel-2008-GWM).
[Paul et al., 2008]
Robert Paul, Stuart M. Grieve, Raymond Niaura, Sean P. David, David H. Laidlaw, Ronald Cohen, Lawrence Sweet, George Taylor, Clark C. Richard, Sakire Pogan, and Evian Gordon. Chronic cigarette smoking and the microstructural integrity of white matter in healthy adults: a diffusion tensor imaging study. Nicotine and Tobacco Research, 10(1):137-47, January 2008. (bibtex: Paul-2008-CCS).
[Srinivas et al., 2008]
M. Srinivas, M. S. Turner, P. A. Morel, J. M. Janjic, David H. Laidlaw, and Eric T. Ahrens. Longitudinal tracking and quantification of T cells using in vivo 19F MRI. In Proceedings of International Society for Magnetic Resonance and Medicine, 2008. (pdf) (bibtex: Srinivas-2008-LTQ).
[Zhang et al., 2008]
Song Zhang, Stephen Correia, and David H. Laidlaw. Identifying white-matter fiber bundles in DTI data using an automated proximity-based fiber-clustering method. IEEE Transactions on Visualization and Computer Graphics, 14(5):1044-1053, Sept-Oct 2008. (pdf) (bibtex: Zhang-2008-IWF).
[Zhou et al., 2008]
Wenjin Zhou, Stephen Correia, and David H. Laidlaw. Evaluation of Design Features in Interactive 3D Tracts-of-interest Selection Tools in DTI. IEEE Visualization 2008 Poster Compendium, 2008. (pdf) (bibtex: Zhou-2008-EDF).
[Zhou et al., 2008]
Wenjin Zhou, Stephen Correia, and David H. Laidlaw. Haptics-Assisted 3D Lasso Drawing for Tracts-of-interest Selection in DTI Visualization. IEEE Visualization 2008 Poster Compendium (Best Poster Nominee), 2008. (pdf) (bibtex: Zhou-2008-HAL).

2007

[Acevedo et al., 2007]
Daniel Acevedo, Jian Chen, and David H. Laidlaw. Modeling Perceptual Dominance Among Visual Cues in Multilayered Icon-based Scientific Visualizations. IEEE Visualization'07, Poster Compendium, 2007. (pdf) (bibtex: Acevedo-2007-MPD).
[Chen et al., 2007]
Jian Chen, Andrew Forsberg, Mykhaylo Kostandov, Dave Willis, and David H. Laidlaw. The Effect of Using Large, High-Resolution Stereoscopic Displays for Flow Visualization. In Proceedings of SIGGRAPH poster, 2007. (pdf) (bibtex: Chen-2007-DSF).
[Chen et al., 2007]
Jian Chen, Andrew Forsberg, Sharon Swartz, and David H. Laidlaw. Interactive Multiple Scale Small Multiples. IEEE Visualization 2007 Poster Compendium, November 2007. (pdf) (bibtex: Chen-2007-MSM).
[Chen et al., 2007]
Jian Chen, Victoria Interrante, William Ribarsky, and David H. Laidlaw. Getting Human-Centered Computing and Scientific Visualization Married: the Myth and Critical issues. IEEE Visualization Panel, Oct 2007. (pdf) (bibtex: Chen-2007-HVP).
[Clayden et al., 2007]
J. D. Clayden, Song Zhang, Stephen Correia, and David H. Laidlaw. Fine-grained comparison of anisotropy differences between groups of white matter tracts. In Proceedings of ISMRM, 2007. (pdf) (bibtex: Clayden-2007-FCA).
[Demiralp et al., 2007]
Cagatay Demiralp, Daniel Acevedo, Song Zhang, David Tate, Stephen Correia, and David H. Laidlaw. Connectivity-aware sectional visualization of DTI volumes. Technical report, Department of Computer Science, Brown University, 2007. (pdf) (bibtex: Demiralp-2007-CSV).
[Grant et al., 2007]
Jon E. Grant, Stephen Correia, Thea Brennan-Krohn, Paul Malloy, David H. Laidlaw, and S. Charles Schulz. Frontal White Matter Integrity in Borderline Personality Disorder with Self-Injurious Behavior. Journal of Neuropsychiatry and Clinical Neurosciences, 2007. In Press (doc) (bibtex: Grant-2007-FWM).
[Jianu et al., 2007]
Doria Jianu, Wenjin Zhou, Cagatay Demiralp, and David H. Laidlaw. Visualizing Spatial Relations Between 3D-DTI Integral Curves Using Texture Patterns. In IEEE Visualization Poster Compendium, 2007. (pdf) (bibtex: Jianu-2007-VSR).
[Keefe et al., 2007]
Daniel Keefe, Robert Zeleznik, and David H. Laidlaw. Drawing on Air: Input Techniques for Controlled 3D Line Illustration. IEEE Transactions on Visualization and Computer Graphics, 13(5):1067-1080, September/October 2007. (pdf) (bibtex: Keefe-2007-DOA).
[Keefe and Laidlaw, 2007]
Daniel Keefe and David H. Laidlaw. Analysis of Performance in Precise 3D Curve Input Tasks in Virtual Reality. IEEE Visualization 2007 Poster, 2007. (pdf) (bibtex: Keefe-2007-APP).
[LaViola et al., 2007]
Joseph LaViola, Prabhat, Andrew Forsberg, David H. Laidlaw, and Andries van Dam. Virtual Reality-Based Interactive Scientific Visualization Environments. In Interactive Visualization: A State-of-the-Art Survey. Springer Verlag, 2008. In Press (pdf) (doc) (bibtex: LaViola-2007-VRI).
[Laidlaw et al., 2007]
David H. Laidlaw, Stephanie Lee, Stephen Correia, David Tate, Robert Paul, Song Zhang, Steven Salloway, and Paul Malloy. Quantitative Tract of Interest Metrics for White Matter Integrity based on Diffusion Tensor MRI Data. Views Radiology, 8(4):2-4, 2007. (pdf) (bibtex: Laidlaw-2007-QTI).
[Marai et al., 2007]
G. Elisabeta Marai, Cindy Grimm, and David H. Laidlaw. Arthrodial Joint Markerless Cross-Parameterization and Biomechanical Visualization. IEEE Transactions on Visualization and Computer Graphics, 13(5):1095-1104, September 2007. (pdf) (bibtex: Marai-2007-ABS).
[McLaughlin et al., 2007]
Nicole C.R. McLaughlin, Robert Paul, Stuart M. Grieve, Leanne M. Williams, David H. Laidlaw, Margaret DiCarlo, Richard Clark, William Whelihan, Ronald Cohen, Thomas J. Whitford, and Evian Gordon. Diffusion Tensor Imaging of the Corpus Callosum: A Cross-Sectional Study Across the Lifespan. International Journal of Developmental Neuroscience, 25(4):215-221, June 2007. (pdf) (bibtex: McLaughlin-2007-DTI).
[Miles et al., 2007]
Jadrian Miles, Daniel Keefe, Daniel Acevedo, Fritz Drury, Sharon Swartz, and David H. Laidlaw. Teaching Science in Virtual Reality with a Freehand 3D Illustration. In Proceedings of IEEE InfoVis, Poster Compendium, 2007. (bibtex: Miles-2007-TSI).
[Patel et al., 2007]
K. Patel, Stephen Correia, J. Foley, E. Schlicting, Song Zhang, David H. Laidlaw, and Steven Salloway. Cognitive Impairment, Hippocampal Volume, and White Matter Integrity in CADASIL. In Proceedings of INS, 2007. (bibtex: Patel-2007-CIH).
[Paul et al., 2007]
Robert H. Paul, David H. Laidlaw, David F. Tate, Stephanie Lee, Karin Hoth, John Gunstad, Song Zhang, Jeffrey Lawrence, and Tim Flanigan. Neuropsychological and Neuroimaging Outcome of HIV-associated Progressive Multifocal Leukoencephalopathy in the Era of Antiretroviral Therapy. Journal of Integrative Neurocience, 6(1):191-204, March 2007. (pdf) (bibtex: Paul-2007-NNO).
[Srinivas et al., 2007]
Mangala Srinivas, Penelope A. Morel, Lauren A. Ernst, David H. Laidlaw, and Eric T. Ahrens. Fluorine-19 MRI for Visualization and Quantification of Cell Migration in a Diabetes Model. Poster at ISMRM, 2007. (pdf) (bibtex: Srinivas-2007-FVQ).
[Srinivas et al., 2007]
Mangala Srinivas, Penelope A. Morel, Lauren A. Ernst, David H. Laidlaw, and Eric T. Ahrens. Fluorine-19 MRI for visualization and quantification of cell migration in a diabetes model. Magnetic Resonance in Medicine, 58:725-734, 2007. (pdf) (bibtex: Srinivas-2007-FMV).
[Willis et al., 2007]
David J. Willis, Mykhaylo Kostandov, Daniel K. Riskin, Jaime Peraire, David H. Laidlaw, Sharon Swartz, and Kenneth S. Breuer. Modeling the Flight of a Bat. Science Magazine. 2007 Visualization Challenge Winner. Informational Graphics., 317:1860, September 2007. (bibtex: Willis-2007-MFB).
[Zhang et al., 2007]
Song Zhang, Stephen Correia, and David H. Laidlaw. Template-based Automatic DTI Fiber Bundle Labeling. In Proceedings of ISMRM, 2007. (pdf) (bibtex: Zhang-2007-TAD).
[Zhang et al., 2007]
Song Zhang, Stephen Correia, and David H. Laidlaw. Identifying white-matter fiber bundles in DTI data using an automated proximity-based fiber-clustering method. IEEE, 2007. (pdf) (bibtex: Zhang-2007-IWM).

2006

[Acevedo and Laidlaw, 2006]
Daniel Acevedo and David H. Laidlaw. Subjective Quantification of Perceptual Interactions among Some 2D Scientific Visualization Methods. IEEE Transactions on Visualization and Computer Graphics (Proceedings Visualization / Information Visualization), 12(5), September-October 2006. (pdf) (bibtex: Acevedo-2006-SQP).
[Callan-Jones et al., 2006]
A. C. Callan-Jones, Robert A. Pelcovits, Vadim Slavin, Song Zhang, David H. Laidlaw, and George B. Loriot. Simulation and Visualization of Topological Defects in Nematic Liquid Crystals. Physical Review E, 74(6), December 2006. (pdf) (bibtex: Callan-2006-SVT).
[Correia et al., 2006]
Stephen Correia, Stephanie Lee, Paul Malloy, Neil Mehta, Song Zhang, Steven Salloway, and David H. Laidlaw. Diffusion-Tensor MRI Tractography Methods for Assessing White Matter Health and Its Relationship to Cognitive Functioning. In Proceedings of the International Neurophisiological Society, Boston, February 2006. (doc) (bibtex: Correia-2006-DTM).
[Correia et al., 2006]
Stephen Correia, Stephanie Lee, Song Zhang, Paul Malloy, Steven Salloway, and David H. Laidlaw. Diffusion-tensor imaging tractography: Correlation with processing speed in aging. In Abstracts Proceedings of 10th International Conference on Alzheimer's Disease and Related Disorders (BEST POSTER AWARD), pages Abstract P2-270, 2006. (ppt) (bibtex: Correia-2006-DTI).
[Crisco et al., 2006]
Joseph J. Crisco, Douglas Moore, G. Elisabeta Marai, David H. Laidlaw, Edward Akelman, Arnold-Peter C. Weiss, and Scott W. Wolfe. Effects of Distal Radius Malunion on Distal Radioulnar Joint Mechanics: An In Vivo Study. Journal of Orthopedic Research, 2006. (bibtex: Crisco-2006-MDR).
[Demiralp et al., 2006]
Cagatay Demiralp, Song Zhang, David Tate, Stephen Correia, and David H. Laidlaw. Connectivity-aware sectional visualization of 3D DTI volumes using perceptual flat-torus coloring and edge rendering. In Proceedings of Eurographics, 2006. (pdf) (bibtex: Demiralp-2006-CSV).
[Demiralp et al., 2006]
Cagatay Demiralp, Cullen Jackson, David Karelitz, Song Zhang, and David H. Laidlaw. CAVE and Fishtank Virtual-Reality Displays: A Qualitative and Quantitative Comparison. IEEE Transactions on Visualization and Computer Graphics, 12(3):323-330, May 2006. (pdf) (bibtex: Demiralp-2006-CFV).
[Jianu et al., 2006]
Radu Jianu, David H. Laidlaw, and Arthur Salomon. Visualizing phosphorylation experiments data in the context of known protein interactions. IEEE Visualization Poster Compendium, 2006. (pdf) (bibtex: Jianu-2006-PED).
[Kostandov et al., 2006]
Mykhaylo Kostandov, Igor Pivkin, Kenneth Breuer, Sharon Swartz, and David H. Laidlaw. Proper Orthogonal Decomposition and Particle Image Velocimetry in Bat Flight. IEEE Visualization 2006 Poster Compendium, November 2006. (pdf) (bibtex: Kostandov-2006-POD).
[Lee et al., 2006]
Stephanie Lee, Stephen Correia, David Tate, Robert Paul, Song Zhang, Steven Salloway, Paul Malloy, and David H. Laidlaw. Quantitative Tract-of-Interest Metrics for White-Matter Integrity Based on Diffusion Tensor MRI Data. In Proceedings International Society for Magnetic Resonance in Medicine (ISMRM), 2006. (pdf) (bibtex: Lee-2006-QTM).
[Malloy et al., 2006]
Paul Malloy, Stephen Correia, Glenn Stebbins, and David H. Laidlaw. Neuroimaging of White Matter in Aging and Dementia. The Clinical Neuropsychologist: Special Issue on New Technologies, Invited Manuscript, 2006. In Press (bibtex: Malloy-2006-NWM).
[Marai et al., 2006]
G. Elisabeta Marai, Joseph Crisco, and David H. Laidlaw. A Kinematics-Based Method For Generating Cartilage Maps and Deformations in the Multi-Articulating Wrist Joint From CT Images. In Proceedings of the IEEE International Conference of the Engineering in Medicine and Biology Society (EMBS), New York, NY, September 2006. (pdf) (bibtex: Marai-2006-AKB).
[Marai et al., 2006]
G. Elisabeta Marai, David H. Laidlaw, and Joseph J. Crisco. Super-Resolution Registration Using Tissue-Classified Distance Fields. IEEE Transactions on Medical Imaging, 25(2):177-187, 2006. (pdf) (bibtex: Marai-2006-SRR).
[Richardson et al., 2006]
Peter Richardson, Igor Pivkin, George Karniadakis, and David H. Laidlaw. Blood Flow at Arterial Branches: Complexities to Resolve for the Angioplasty Suite. In Proceedings of International Conference of Computational Science. Workshop on Dynamic Data Driven Application Systems. Lecture Notes in Computer Science 3993, pages 538-545, Reading, UK, May 2006. Springer-Verlag. (pdf) (bibtex: Richardson-2006-BFA).
[Simon et al., 2006]
Jack H. Simon, Song Zhang, David H. Laidlaw, David E. Miller, Mark Brown, John Corboy, and Jeffrey Bennett. Identification of Fibers at Risk for Degeneration by Diffusion Tractography in Patients at High Risk for MS after a Clinically Isolated Syndrome. Journal of Magnetic Resonance Imaging, October 2006. (pdf) (bibtex: Simon-2006-IFR).
[Slavin et al., 2006]
Vadim Slavin, Robert A. Pelcovitz, George Loriot, Andrew Callan-Jones, and David H. Laidlaw. Techniques for the Visualization of Topological Defect Behavior in Nematic Liquid Crystals. IEEE Transactions on Visualization and Computer Graphics (Proceedings Visualization / Information Visualization), 12(5), September-October 2006. In Press (pdf) (bibtex: Slavin-2006-TVT).
[Tate et al., 2006]
David Tate, Robert Paul, Kathryn Coop, Timothy Flanigan, Song Zhang, David H. Laidlaw, and Karen Tashima. Altered Diffision Scalar Metrics in the Midsagittal Corpus Callosum are Associated with Cognition Among HIV Patients. In Proceedings of the 14th Conference on Retroviruses and Opportunistic Infections, Los Angeles, CA, 2006. (html) (bibtex: Tate-2006-ADS).
[Zhang et al., 2006]
Song Zhang, Stephen Correia, David F. Tate, and David H. Laidlaw. Correlating DTI fiber clusters with white-matter anatomy. In Proceedings International Society for Magnetic Resonance in Medicine (ISMRM), 2006. (pdf) (bibtex: Zhang-2006-CDC).
[Zhang and Laidlaw, 2006]
Song Zhang and David H. Laidlaw. Sampling DTI integral curves based on DWI forward modeling. In Proceedings of the IEEE International Conference of the Engineering in Medicine and Biology Society (EMBS), New York, NY, August-September 2006. In Press (pdf) (bibtex: Zhang-2006-SDI).
[Zhou et al., 2006]
Wenjin Zhou, Peter G. Sibley, Song Zhang, David Tate, and David H. Laidlaw. Perceptual Coloring and 2D Sketching for Segmentation of Neural Pathways. Siggraph 2006, Poster Compendium (BEST POSTER AWARD), August 2006. (pdf) (bibtex: Zhou-2006-PCS).

2005

[Acevedo et al., 2005]
Daniel Acevedo, Cullen Jackson, David H. Laidlaw, and Fritz Drury. Using Visual Design Expertise to Characterize the Effectiveness of 2D Scientific Visualization Methods. In Proceedings IEEE Visualization, Poster Compendium (BEST POSTER AWARD), October 2005. (pdf) (bibtex: Acevedo-2005-UVD).
[Correia et al., 2005]
Stephen Correia, Thea Brennan-Krohn, Song Zhang, David H. Laidlaw, Paul Malloy, and Steven Salloway. Diffusion-Tensor Imaging and Executive Function in Subcortical Ischemic Vascular Disease and Mild Cognitive Impairment. In International Neuropsychological Society conference, February 2005. (ppt) (bibtex: Correia-2005-DTI).
[Correia et al., 2005]
Stephen Correia, Thea Brennan-Krohn, Erin Schlicting, Song Zhang, David H. Laidlaw, Paul Malloy, and Steven Salloway. Diffusion-tensor imaging in vascular cognitive impairment and mild cognitive impairment: relationship with executive functioning. In Proceedings of the 2nd Congress of the International Society for Vascular, Cognitive and Behavioural Disorders, Florence, Italy, June 2005. (pdf) (bibtex: Correia-2005-DTV).
[House et al., 2005]
Don House, Victoria Interrante, David H. Laidlaw, Russell Taylor, and Colin Ware. Panel: Design and Evaluation in Visualization Research. In Proceedings of IEEE Visualization Conference, Minneapolis, MN, October 2005. (pdf) (bibtex: House-2005-DEV).
[Kaufman et al., 2005]
Jason A. Kaufman, Eric T. Ahrens, David H. Laidlaw, Song Zhang, and John M. Allman. Anatomical analysis of an aye-aye brain (Daubentonia madagascariensis, primates: Prosimii) combining histology, structural magnetic resonance imaging, and diffusion-tensor imaging. Anatomical Record, 287A(1):1026-1037, November 2005. (pdf) (bibtex: Kaufman-2005-AAA).
[Keefe et al., 2005]
Daniel Keefe, David Karelitz, Eileen Vote, and David H. Laidlaw. Artistic Collaboration in Designing VR Visualizations. IEEE Computer Graphics and Applications, 25(2):18-23, March/April 2005. (pdf) (bibtex: Keefe-2005-ACD).
[Keefe and Laidlaw, 2005]
Daniel Keefe and David H. Laidlaw. A Haptic Interface for Creating Smooth 3D Curves with Varying Line Weight. In Proceesings SIGGRAPH, Posters Program, 2005. (pdf) (bibtex: Keefe-2005-HIC).
[Keefe and Laidlaw, 2005]
Daniel Keefe and David H. Laidlaw. A Haptic Interface for Creating Smooth 3D Curves with Varying Line Weight (POSTER), 2005. (pdf) (bibtex: Keefe-2005-HIP).
[Laidlaw et al., 2005]
David H. Laidlaw, Michael Kirby, Cullen Jackson, J. Scott Davidson, Timothy Miller, Marco DaSilva, William Warren, and Michael Tarr. Comparing 2D vector field visualization methods: A user study. In IEEE Transactions on Visualization and Computer Graphics, 11(1):59-70, January-February 2005. (pdf) (bibtex: Laidlaw-2005-CVF).
[Laidlaw, 2005]
David H. Laidlaw. Moving Research into Practice. Panel Presentation on Homeland Security and Emerging Technology. The Science and Technology Agenda for Visual Analytics: Science and Technology Recommendations, February 2005. (pdf) (bibtex: Laidlaw-2005-MRP).
[Laidlaw, 2005]
David H. Laidlaw. Nugget for NSF: Collaborating with Artists and Scientists to Create Scientific Visualizations of Bat Flight. Submitted to NSF Graphics/Visualization Program. Nugget ID 11396, 2005. (pdf) (bibtex: Laidlaw-2005-CAS).
[Marai and Laidlaw, 2005]
G. Elisabeta Marai and David H. Laidlaw. Markerless inter-subject bone shape matching using 2D projections. In MICCAI 2005 short papers, 2005. (pdf) (bibtex: Marai-2005-MIS).
[Pivkin et al., 2005]
Igor Pivkin, Eduardo Hueso, Rachel Weinstein, David H. Laidlaw, Sharon Swartz, and George Karniadakis. Simulation and Visualization of Air Flow Around Bat Wings During Flight. In Proceedings of International Conference on Computational Science, pages 689-694, 2005. (pdf) (bibtex: Pivkin-2005-SVA).
[Pivkin et al., 2005]
Igor Pivkin, Peter Richardson, David H. Laidlaw, and George Karniadakis. Combined effects of pulsatile flow and dynamic curvature on wall shear stress in a coronary artery bifurcation model. Journal of Biomechanics, 38(6):1283-1290, 2005. (pdf) (bibtex: Pivkin-2005-CEP).
[Salloway et al., 2005]
Steven Salloway, Stephen Correia, Paul Malloy, William Heindel, and David H. Laidlaw. Diffusion-Tensor Imaging: Frontal Executive Function in Vascular Cognitive Impairement. In Collaborative for Translational Brain Research Symposium, April 2005. (ppt) (bibtex: Salloway-2005-DTI).
[Schulze et al., 2005]
Jürgen Schulze, Andrew Forsberg, Kleppe, Robert Zeleznik, and David H. Laidlaw. Characterizing the Effect of Level of Immersion on a 3D Marking Task. In Proceedings of HCI International, Las Vegas, NE, July 2005. (pdf) (bibtex: Schulze-2005-CTE).
[Simon et al., 2005]
Jack H. Simon, Song Zhang, David H. Laidlaw, D. E. Miller, M. Brown, J. Corboy, D. Singel, and J. Bennett. Strategy for Detecting Neuronal Fibers at Risk for Neurodegeneration In Earliest MS by Streamtube Tractography at 3T. In Proceedings International Society for Magnetic Resonance in Medicine (ISMRM), Miami, FL, May 2005. (pdf) (ppt) (bibtex: Simon-2005-SDN).
[Simon et al., 2005]
Jack H. Simon, John Corboy, Song Zhang, and David H. Laidlaw. Visualization of Fibers at Risk for Neuronal Tract Degeneration in Early MS by Streamtube Diffusion Tractography. Platform Presentation at the Academy of Neurology, Miami, FL, April 2005. (bibtex: Simon-2005-VFR).
[Tate et al., 2005]
David Tate, J. Gunstad, Robert Paul, Song Zhang, David H. Laidlaw, and Ronald Cohen. Fractional Anisotropy in Subcortical White Matter Regions of Interest Among Cardiovascular Patients. In Proceedings International Society for Magnetic Resonance in Medicine (ISMRM), Miami, FL, May 2005. (ppt) (bibtex: Tate-2005-FAS).
[Vilanova et al., 2005]
A. Vilanova, Song Zhang, G. Kindlmann, and David H. Laidlaw. An Introduction to Visualization of Diffusion Tensor Imaging and its Applications. In Visualization and Image Processing of Tensor Fields. Springer-Verlag, 2005. (pdf) (bibtex: Vilanova-2005-IVD).
[Zhang and Laidlaw, 2005]
Song Zhang and David H. Laidlaw. DTI Fiber Clustering and Cross-subject Cluster Analysis. In Proceedings International Society for Magnetic Resonance in Medicine (ISMRM), Miami, FL, May 2005. (pdf) (bibtex: Zhang-2005-DFC).

2004

[Acevedo et al., 2004]
Daniel Acevedo, Song Zhang, David H. Laidlaw, and Chris Bull. Color Rapid Prototyping for Diffusion Tensor MRI Visualization. In Proceedings of MICCAI 2004 Short Papers, September 2004. (pdf) (bibtex: Acevedo-2004-CRP).
[Ahrens et al., 2004]
Eric T. Ahrens, J.M.Allman, E.Bush, David H. Laidlaw, and Song Zhang. Comparative 3D Anatomy of the Prosimian Brain:DTI and Histological Studies. In Proceedings of the Scientific Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine, 2004. (pdf) (bibtex: Ahrens-2004-CAP).
[Brennan-Krohn et al., 2004]
Thea Brennan-Krohn, Stephen Correia, Song Zhang, David H. Laidlaw, Paul Malloy, and Steven Salloway. Diffusion-Tensor Imaging and Executive Function in Subcortical Vascular Disease. In Workshop on aging connections: Advanced MRI of age related white matter changes in the brain. ISMRM, 2004. (bibtex: Brennan-2004-DTI).
[Correia et al., 2004]
Steve Correia, Song Zhang, David H. Laidlaw, Paul Malloy, and Steven Salloway. Diffusion-tensor imaging: linear, planar, and spherical diffusion in CADASIL. In 9th International Conference on Alzheimer's Disease and Related Disorders, 2004. (bibtex: Correia-2004-DTI).
[Correia et al., 2004]
Stephen Correia, Thea Brennan-Krohn, Song Zhang, David H. Laidlaw, Paul Malloy, and Steven Salloway. Diffusion-Tensor Imaging and Executive Function in Subcortical Ischemic Vascular Disease and Mild Cognitive Impairment. In Proceedings of the International Neurophisiological Society, 2004. (pdf) (doc) (bibtex: Correia-2004-DIE).
[Gaither et al., 2004]
Kelly Gaither, Bill Geisler, David H. Laidlaw, and David Ebert. Panel: In the Eye of the Beholder: The Role of Perception in Scientific Visualization. In Proceedings of IEEE Visualization Conference, pages 567-568, October 10—15 2004. (pdf) (bibtex: Gaither-2004-IEB).
[Genetti et al., 2004]
Jon Genetti, Mike Bailey, David H. Laidlaw, Robert Moorhead, and Ross Whitaker. What Should We Teach in a Scientific Visualization Class? Panel in IEEE Visualization 2004, October 2004. (bibtex: Genetti-2004-WSW).
[Hueso et al., 2004]
Eduardo Hueso, Igor Pivkin, Sharon Swartz, David H. Laidlaw, George Karniadakis, and Kenneth Breuer. Visualization of Vortices in Simulated Airflow around Bat Wings During Flight. IEEE Visualization 2004 Poster Compendium, October 2004. (pdf) (ppz) (zip) (bibtex: Hueso-2004-VVS).
[Kirby et al., 2004]
Michael Kirby, Daniel Keefe, and David H. Laidlaw. Painting and Visualization. In Visualization Handbook. Academic Press, June 2004. (pdf) (bibtex: Kirby-2004-PAV).
[Laidlaw et al., 2004]
David H. Laidlaw, Song Zhang, Mark Bastin, Stephen Correia, Steven Salloway, and Paul Malloy. Ramifications of Isotropic Sampling and Acquisition Orientation on DTI Analyses. In Proceedings of the Scientific Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine, 2004. (pdf) (bibtex: Laidlaw-2004-RIS).
[Laidlaw et al., 2004]
David H. Laidlaw, Song Zhang, Mark Bastin, Stephen Correia, Steven Salloway, and Paul Malloy. Ramifications of Isotropic Sampling and Acquisition Orientation on DTI Analyses. Poster for Research Day at Butler Hospital, Providence, RI, 2004. (pdf) (ppt) (bibtex: Laidlaw-2004-RIA).
[Laidlaw, 2004]
David H. Laidlaw. Visualization of Multi-Valued Scientific Data: Applying Ideas from Art and Perceptual Psychology. Poster for NSF, June 2004. (pdf) (bibtex: Laidlaw-2004-VMS).
[Laidlaw et al., 2004]
David H. Laidlaw, davidkremers, A.W. Toga, Fritz Drury, and Russell E. Jacobs. Applying Lessons from Visual Art to Exploration of the Brain. Panel in Thirty-Seventh Annual Winter Conference on Brain Research, January 2004. (pdf) (bibtex: Laidlaw-2004-ALV).
[Leyton et al., 2004]
Michael Leyton, Doug DeCarlo, David H. Laidlaw, and Frediric Leymarie. Computational Aspects of Paintings. Panel at 2004 SIAM Conference on Geometric Design and Computing, November 2004. (bibtex: Leyton-2004-CAP).
[Marai et al., 2004]
G. Elisabeta Marai, Cagatay Demiralp, Stuart Andrews, and David H. Laidlaw. JointViewer an interactive system for exploring orthopedic data. IEEE Visualization 2004 Poster Compendium, October 2004. (pdf) (bibtex: Marai-2004-JAI).
[Slavin et al., 2004]
Vadim Slavin, David H. Laidlaw, Song Zhang, Rovert Pelcovits, George Loriot, and Anderw Callan-Jones. Visualization of Topological Defects in Nematic Liquid Crystals Using Streamtubes, Streamsurfaces and Ellipsoids. IEEE Visualization 2004 Poster Compendium, October 2004. (pdf) (ppz) (zip) (bibtex: Slavin-2004-VTD).
[Sobel et al., 2004]
Jason Sobel, Andrew Forsberg, David H. Laidlaw, Robert Zeleznik, Daniel Keefe, Igor Pivkin, George Karniadakis, Peter Richardson, and Sharon Swartz. Particle Flurries: Synoptic 3D Pulsatile Flow Visualization. IEEE Computer Graphics and Applications, 24(2):76-85, March/April 2004. (pdf) (bibtex: Sobel-2004-PFC).
[Swartz et al., 2004]
Sharon Swartz, Kristin Bishop, Igor Pivkin, George Karniadakis, David H. Laidlaw, Eileen Vote, and Daniel Keefe. 3D Kinematics of Flying Bats: Challenges of Complex Multidimensional Comparison. In Seventh International Congress on Vertebrate Morphology, Boca Raton, Florida, 2004. (bibtex: Swartz-2004-3DK).
[Ware et al., 2004]
Colin Ware, Don House, David H. Laidlaw, and Jeffrey Proehl. Nugget for NSF: ITR Collaborative: Perceptual Optimization for Data Visualization. Submitted to NSF, January 2004. (pdf) (bibtex: Ware-2004-NUG).
[Weinstein et al., 2004]
Rachel Weinstein, Eduardo Hueso, Igor Pivkin, Sharon Swartz, David H. Laidlaw, George Karniadakis, and Kenneth Breuer. Simulation and Visualization of Flow Around Bat Wings During Flight. ACM SIGGRAPH 2004 Poster Compendium, August 2004. (pdf) (bibtex: Weinstein-2004-SVF).
[Wenger et al., 2004]
Andreas Wenger, Daniel Keefe, Song Zhang, and David H. Laidlaw. Interactive Volume Rendering of Thin Thread Structures within Multivalued Scientific Datasets. IEEE Transactions on Visualization and Computer Graphics, 10(6):664-672, November/December 2004. (pdf) (bibtex: Wenger-2004-IVR).
[Zhang et al., 2004]
Song Zhang, Mark Bastin, David H. Laidlaw, Saurabh Sinha, Paul A. Armitage, and Thomas S. Deisboeck. Visualization and Analysis of White Matter Structural Asymmetry in Diffusion Tensor MR Imaging Data. Magnetic Resonance in Medicine, 51(1):140-147, 2004. (pdf) (bibtex: Zhang-2004-VAW).
[Zhang et al., 2004]
Song Zhang, Gordon Kindlmann, and David H. Laidlaw. Diffusion Tensor MRI Visualization. In Visualization Handbook. Academic Press, June 2004. (pdf) (bibtex: Zhang-2004-DTM).
[Zhang and Laidlaw, 2004]
Song Zhang and David H. Laidlaw. A Model for some Subcortical DTI Planar and Linear Anisotropy. MICCAI 2004, September 2004. (pdf) (bibtex: Zhang-2004-MSS).
[Zhang et al., 2004]
Song Zhang, Jack H. Simon, David H. Laidlaw, Mark Brown, and David M. Miller. Visualization of the Interaction of Multiple Sclerosis lesions with adjacent white matter fibers using Streamtubes and Streamsurfaces. In IEEE Visualization Poster Compendium, October 2004. (pdf) (bibtex: Zhang-2004-VIM).
[Zhang and Laidlaw, 2004]
Song Zhang and David H. Laidlaw. DTI Fiber Clustering in the Whole Brain. IEEE Visualization 2004 Poster Compendium, October 2004. (pdf) (bibtex: Zhang-2004-DFC).
[Zhang and Laidlaw, 2004]
Song Zhang and David H. Laidlaw. Towards a Global Tractography-based Model of FA. In Workshop on aging connections: Advanded MRI of age related white matter changes in the brain. ISMRM, 2004. (pdf) (bibtex: Zhang-2004-TGT).

2003

[Crisco et al., 2003]
Joseph J. Crisco, G. Elisabeta Marai, David H. Laidlaw, Douglas Moore, and E. Akelman. KINEMATIC AND MECHANICAL CHANGES IN THE DISTAL RADIOULNAR JOINT (DRUJ) OF PATIENTS WITH MALUNITED DISTAL RADIUS FRACTURES. In 49th Annual Meeting of the Orthopaedic Research Society, New Orleans, LA. Orthopaedic Research Society, February 2003. (pdf) (bibtex: Crisco-2003-KMC).
[Demiralp et al., 2003]
Cagatay Demiralp, David H. Laidlaw, Cullen Jackson, Daniel Keefe, and Song Zhang. Subjective Usefulness of CAVE and Fish Tank VR Display Systems for a Scientific Visualization Application. In IEEE Visualization Poster Compendium, Seattle, WA, 2003. (pdf) (bibtex: Demiralp-2003-SUC).
[Dube et al., 2003]
Catherine Dube, David H. Laidlaw, and Thompson Webb III. Faculty Forum: Teaching Innovations, . In The Teaching Exchange, Brown University, January 2003. (pdf) (bibtex: Dube-2003-FFT).
[Forsberg et al., 2003]
Andrew Forsberg, Peter Richardson, Jason Sobel, David H. Laidlaw, Daniel Keefe, Igor Pivkin, and George Karniadakis. Arterial Motions and Flows Seen in Virtual Reality. In Proceedings World Congress on Medical Physics and Biomedical Engineering, Sydney Australia, August 2003. (bibtex: Forsberg-2003-AMF).
[Jackson et al., 2003]
Cullen Jackson, Daniel Acevedo, David H. Laidlaw, Fritz Drury, Eileen Vote, and Daniel Keefe. Designer-critiqued Comparison of 2D Vector Visualization Methods: A Pilot Study. In SIGGRAPH 2003 Sketches and Applications. ACM SIGGRAPH, 2003. (pdf) (bibtex: Jackson-2003-DCC).
[Karelitz et al., 2003]
David Karelitz, Daniel Keefe, and David H. Laidlaw. Using CavePainting to Create Scientific Visualizations. Technical Report CS-03-26, Master's Project, Computer Science Department, Brown University, Providence, RI, 2003. (pdf) (ppt) (bibtex: Karelitz-2003-UCT).
[Karelitz et al., 2003]
David Karelitz, Daniel Keefe, and David H. Laidlaw. Using CavePainting to Create Scientific Visualizations. In Proceedings IEEE Visualization, Posters Compendium, page 109, October 2003. (pdf) (bibtex: Karelitz-2003-UCC).
[Kosara et al., 2003]
Robert Kosara, Christopher G. Healey, Victoria Interrante, David H. Laidlaw, and Colin Ware. User Studies: Why, How, and When. Computer Graphics and Applications, 23(4):20-25, July/August 2003. (pdf) (bibtex: Kosara-2003-TUS).
[Marai et al., 2003]
G. Elisabeta Marai, David H. Laidlaw, James J Coburn, Mohammad A Upal, and Joseph J. Crisco. A 3D Method for Segmenting and Registering Carpal Bones from CT Volume Images. In Proceedings of Annual Meeting of the American Society of Biomechanics, September 2003. (pdf) (ppt) (bibtex: Marai-2003-3DM).
[Marai et al., 2003]
G. Elisabeta Marai, David H. Laidlaw, Cagatay Demiralp, Stuart Andrews, Cindy Grimm, and Joseph J. Crisco. Estimating joint contact areas and ligament lengths from bone kinematics and surfaces. IEEE Transactions on Biomedical Engineering, 51(5):790-799, May 2003. (pdf) (bibtex: Marai-2003-EJC).
[Pivkin et al., 2003]
Igor Pivkin, Peter Richardson, David H. Laidlaw, and George Karniadakis. The Combined Effect of Pulsatile Inflow and Unsteady Geometry on Flow in Coronary Arteries. In Proceedings of International Symposium on Modeling of Physiological Flows, 2003. (pdf) (ps) (bibtex: Pivkin-2003-CEP).
[Rhyne et al., 2003]
Theresa-Marie Rhyne, Melanie Tory, Tamara Munzner, Matt Ward, Chris Johnson, and David H. Laidlaw. Panel Session: Information and Scientific Visualization: Separate but Equal or Happy Together at Last. In Proceedings of IEEE Visualization'03, 2003. (pdf) (bibtex: Rhyne-2003-ISV).
[Vote et al., 2003]
Eileen Vote, Daniel Acevedo, Cullen Jackson, Jason Sobel, and David H. Laidlaw. Design-by-Example: A Schema for Designing Visualizations Using Examples from Art. In SIGGRAPH 2003 Sketches and Applications. ACM SIGGRAPH, 2003. (pdf) (bibtex: Vote-2003-DBE).
[Zhang et al., 2003]
Song Zhang, Cagatay Demiralp, and David H. Laidlaw. Visualizing Diffusion Tensor MR Images Using Streamtubes and Streamsurfaces. IEEE Transactions on Visualization and Computer Graphics, 9(4):454-462, October 2003. (pdf) (bibtex: Zhang-2003-VDT).

2002

[Andrews and Laidlaw, 2002]
Stuart Andrews and David H. Laidlaw. Toward a Framework for Assembling Broken Pottery Vessels. In Proceedings of the 18th National Conference on Artificial Intelligence, pages 945-946, July/August 2002. (pdf) (bibtex: Andrews-2002-TFA).
[Audleman et al., 2002]
Kevin Audleman, David H. Laidlaw, and Steve Reiss. TIV: A Thread Interaction Viewer. In Poster Proceedings of IEEE Visualization, October 2002. (pdf) (ppt) (bibtex: Audleman-2002-TIV).
[Cooper et al., 2002]
David B. Cooper, Andrew Willis, Stuart Andrews, Jill Baker, Yan Cao, Dongjin Han, Kongbin Kang, Weixin Kong, Frediric Leymarie, Xavier Orriols, Senem Velipasalar, Eileen Vote, Martha Joukowsky, Benjamin B. Kimia, David H. Laidlaw, and David Mumford. Bayesian Virtual Pot-Assembly from Fragments as Problems in Perceptual-Grouping and Geometric-Learning. In Proceedings of ICPR, pages 297-302, 2002. (pdf) (bibtex: Cooper-2002-BVP).
[DaSilva et al., 2002]
Marco DaSilva, Song Zhang, Cagatay Demiralp, and David H. Laidlaw. Visualizing the Differences between Diffusion Tensor Volume Images. In Proceedings ISMRM Workshop in Diffusion MRI: Biophysical Issues, pages 237-238, March 2002. (pdf) (bibtex: DaSilva-2002-VDD).
[Grimm et al., 2002]
Cindy Grimm, Joseph J. Crisco, and David H. Laidlaw. Fitting Manifold Surfaces to 3D Point Clouds. Journal of Biomechanical Engineering, 124(1):136-140, February 2002. (pdf) (bibtex: Grimm-2002-FMS).
[Jackson et al., 2002]
Cullen Jackson, David Karelitz, Sean A. Cannella, and David H. Laidlaw. The Great Potato Search: The Effects of Visual Context on Users Feature Search and Recognition Abilities in an IVR Scene. In Poster Proceedings of IEEE Visualization, October 2002. (pdf) (bibtex: Jackson-2002-TGP).
[Marai et al., 2002]
G. Elisabeta Marai, Cagatay Demiralp, Stuart Andrews, David H. Laidlaw, Cindy Grimm, and Joseph J. Crisco. Visualization of Contact Areas and Ligament Paths in Joints. Technical Report CS-02-15, Brown University Computer Science Department, August 2002. (pdf) (bibtex: Marai-2002-VOC).
[Marai et al., 2002]
G. Elisabeta Marai, David H. Laidlaw, Cagatay Demiralp, Cindy Grimm, Joseph J. Crisco, Douglas Moore, and E. Akelman. Contact Areas and Ligament Lengths are Abnormal in Patients with Malunited Distal Radius Fracture Despite Normal Radioulnar Kinematics. In World Congress Biomechanics, 2002. (pdf) (bibtex: Marai-2002-CAA).
[Pivkin et al., 2002]
Igor Pivkin, David H. Laidlaw, Peter Richardson, and George Karniadakis. Moving meshes and flow simulations in coronary arteries. In Proceedings of the 8th International Conference on Numerical Grid Generation in Computational Field Simulations, page 467, Honolulu, Hawaii, June 2002. (bibtex: Pivkin-2002-MMF).
[Sobel et al., 2002]
Jason Sobel, Andrew Forsberg, Peter Richardson, David H. Laidlaw, Daniel Keefe, Igor Pivkin, and George Karniadakis. Arterial flows seen in virtual reality. In Proceedings of the 21st Southern Biomedical Engineering Conference, pages 349-350, 2002. (bibtex: Sobel-2002-AFS).
[Turner et al., 2002]
Dean Turner, Iain Woodhouse, and David H. Laidlaw. A Synoptic Visualization of Fully Polarimetric SAR Data: an Annotated Example. In Proceedings of IEEE IGARSS, 2002. (pdf) (bibtex: Turner-2002-SVF).
[Vote et al., 2002]
Eileen Vote, Daniel Acevedo, David H. Laidlaw, and Martha Joukowsky. Discovering Petra: Archaeological Analysis in VR. IEEE Computer Graphics and Applications, 22(5):38-50, September/October 2002. (pdf) (bibtex: Vote-2002-DPA).
[Weinstein et al., 2002]
Rachel Weinstein, Igor Pivkin, Sharon Swartz, David H. Laidlaw, George Karniadakis, and Kenneth Breuer. Simulation and Visualization of Air Flow Around Bat Wings During Flight. Technical Report CS-02-16, Brown University Computer Science Department, August 2002. (pdf) (bibtex: Weinstein-2002-SAV).
[Woodhouse et al., 2002]
Iain Woodhouse, Dean Turner, and David H. Laidlaw. Improving the Visualization of Polarimetric Response in SAR Images: from Pixels to Images. In Proceedings of IEEE IGARSS, 2002. (pdf) (bibtex: Woodhouse-2002-IVP).
[Zhang et al., 2002]
Song Zhang, David H. Laidlaw, Mark Bastin, Saurabh Sinha, and Thomas S. Deisboeck. Application of DTI Visualization and Analysis on a Data Set from a Brain Tumor Patient. In IEEE Visualization Poster Compendium, October 2002. (pdf) (bibtex: Zhang-2002-AOD).
[Zhang and Laidlaw, 2002]
Song Zhang and David H. Laidlaw. Hierarchical Clustering of Streamtubes. Technical Report CS-02-18, Brown University Computer Science Department, August 2002. (bibtex: Zhang-2002-HCO).
[van Dam et al., 2002]
Andries van Dam, David H. Laidlaw, and Rosemary Michelle Simpson. Experiments in Immersive Virtual Reality for Scientific Visualization. Computers and Graphics, 26(4):535-555, August 2002. (pdf) (bibtex: vanDam-2002-EIV).

2001

[Acevedo et al., 2001]
Daniel Acevedo, Eileen Vote, David H. Laidlaw, and Martha Joukowsky. Archaeological Data Visualization in VR: Analysis of Lamp Finds at the Great Temple of Petra, a Case Study. In Proceedings IEEE Visualization 2001 (BEST CASE-STUDY AWARD), pages 493-496, October 2001. (pdf) (bibtex: Acevedo-2001-ADV).
[Ahrens et al., 2001]
Eric T. Ahrens, David Dubowitz, and David H. Laidlaw. Peripheral Somatosensory fMRI in Mouse at 11.7 Tesla. In Proceedings of ISMRM, Glasgow, Scotland, 2001. (bibtex: Ahrens-2001-PSF).
[Ahrens et al., 2001]
Eric T. Ahrens, D. J. Dubowitz, and David H. Laidlaw. FMRI in mouse at 11.7 Tesla. In Proceedings of the International Society for Magnetic Resonance in Medicine 9th Scientific Meeting, Berkeley, CA, 2001. (bibtex: Ahrens-2001-FMT).
[Cooper et al., 2001]
David B. Cooper, Andrew Willis, Stuart Andrews, Jill Baker, Yan Cao, Dongjin Han, Kongbin Kang, Weixin Kong, Frediric Leymarie, Xavier Orriols, Eileen Vote, Martha Joukowsky, Benjamin B. Kimia, David H. Laidlaw, David Mumford, and Senem Velipasalar. Assembling Virtual Pots from 3D Measurements of their Fragments. In Proceedings of VAST, 2001. (pdf) (bibtex: Cooper-2001-AVP).
[Crisco et al., 2001]
Joseph J. Crisco, Cagatay Demiralp, David H. Laidlaw, A-P. C. Weiss, E. Akelman, and S.W. Wolfe. Interactive Visualization of 3D Carpal Kinematics and Bony Anatomy. In Am. Soc. for Surgery of the Hand 56th Annual Meeting, October 2001. (bibtex: Crisco-2001-IV3).
[DaSilva et al., 2001]
Marco DaSilva, Song Zhang, Cagatay Demiralp, and David H. Laidlaw. Visualizing Diffusion Tensor Volume Differences. In Visualization '01 Work in Progress Proceedings, pages 16-17, October 2001. (pdf) (bibtex: DaSilva-2001-VDT).
[Demiralp et al., 2001]
Cagatay Demiralp, G. Elisabeta Marai, Stuart Andrews, David H. Laidlaw, Joseph J. Crisco, and Cindy Grimm. Modeling and Visualization of Inter-Bone Distances in Joints. In Visualization '01 Work in Progress Proceedings, pages 24-25, October 2001. (pdf) (bibtex: Demiralp-2001-MVI).
[Healey et al., 2001]
Christopher G. Healey, Victoria Interrante, davidkremers, David H. Laidlaw, and Penny Rheingans. Nonphotorealistic Rendering in Scientific Visualization. In Course Notes of SIGGRAPH 2001, volume Course 32, August 2001. (pdf) (bibtex: Healey-2001-NRS).
[Jacobs et al., 2001]
Russell E. Jacobs, David H. Laidlaw, G. Burns, R. Moats, and A. Toga. Multimodal Multidimensional Digital Develomental Atlas of Mouse Brain. In Winter Conference on Brain Research. Panel Session, January 2001. (bibtex: Jacobs-2001-MMD).
[Keefe et al., 2001]
Daniel Keefe, Daniel Acevedo, Tomer Moscovich, David H. Laidlaw, and Joseph LaViola. CavePainting: A Fully Immersive 3D Artistic Medium and Interactive Experience. In Proceedings of ACM Symposium on Interactive 3D Graphics, pages 85-93, March 2001. (pdf) (bibtex: Keefe-2001-CPF).
[Laidlaw, 2001]
David H. Laidlaw. Loose, Artistic ``Textures'' for Visualization. IEEE Computer Graphics and Applications, 21(2):6-9, March/April 2001. (pdf) (bibtex: Laidlaw-2001-LAT).
[Laidlaw et al., 2001]
David H. Laidlaw, Kurt Fleischer, and Alan Barr. Partial-Volume Bayesian Classification with Voxel Histograms. In Handbook of Medical Image Processing, pages 195-211. Academic Press, 2001. (pdf) (bibtex: Laidlaw-2001-PVB).
[Laidlaw et al., 2001]
David H. Laidlaw, Michael Kirby, J. Scott Davidson, Timothy Miller, Marco DaSilva, William Warren, and Michael Tarr. Quantitative Comparative Evaluation of 2D Vector Field Visualization Methods. In Proceedings of IEEE Visualization 2001, pages 143-150. IEEE, October 2001. (pdf) (bibtex: Laidlaw-2001-QCE).
[Rhyne et al., 2001]
Theresa-Marie Rhyne, David H. Laidlaw, Christopher G. Healey, Victoria Interrante, and David Duke. Realism, Expressionism, and Abstraction: Applying Art Techniques to Visualization. In Proceedings of IEEE Visualization Conference, pages 523-526, San Diego, California, October 2001. (pdf) (bibtex: Rhyne-2001-REA).
[Zhang et al., 2001]
Song Zhang, Cagatay Demiralp, Daniel Keefe, Marco DaSilva, Benjamin D. Greenberg, Peter J. Basser, Carlo Pierpaoli, E. A. Chiocca, T. S. Deisboeck, and David H. Laidlaw. An Immersive Virtual Environment for DT-MRI Volume Visualization Applications: a Case Study. In Proceedings of IEEE Visualization 2001, pages 437-440, October 2001. (pdf) (bibtex: Zhang-2001-IVE).
[Zhang and Laidlaw, 2001]
Song Zhang and David H. Laidlaw. Elucidating Neural Structure in Diffusion Tensor MRI Volumes using Streamtubes and Streamsurfaces. In Proc. 9th International Society of MR in Medicine, April 2001. (pdf) (bibtex: Zhang-2001-ENS).
[Zhang et al., 2001]
Song Zhang, Cagatay Demiralp, Marco DaSilva, Daniel Keefe, David H. Laidlaw, Benjamin D. Greenberg, Peter J. Basser, Carlo Pierpaoli, E.A. Chiocca, and T. S. Diesboeck. Toward Application of Virtual Reality to Visualization of DT-MRI Volumes. In Proceedings MICCAI, October 2001. (pdf) (bibtex: Zhang-2001-TAV).

2000

[Acevedo et al., 2000]
Daniel Acevedo, Eileen Vote, David H. Laidlaw, and Martha Joukowsky. ARCHAVE: A Virtual Environment for Archaeological Research. In Work in Progress Proceedings of IEEE Visualization'00, October 2000. (pdf) (bibtex: Acevedo-2000-AVE).
[DaSilva et al., 2000]
Marco DaSilva, David H. Laidlaw, and J. Michael Tyszka. Reducing Errors due to Partial-Volume Effects and Noise in Pressure Maps Calculated for MR Velocity Data. In Proc. 8th International Society for MR in Medicine, April 2000. (bibtex: DaSilva-2000-RED).
[Forsberg et al., 2000]
Andrew Forsberg, Michael Kirby, David H. Laidlaw, George Karniadakis, Andries van Dam, and Jonathan L. Elion. Immersive Virtual Reality for Visualizing Flow Through an Artery. In Proceedings of IEEE Visualization 2000, pages 457-460. IEEE Computer Society Press, October 2000. (pdf) (bibtex: Forsberg-2000-IVR).
[Laidlaw, 2000]
David H. Laidlaw. Applying Concepts from Oil Painting and Art to Visualization. Sidebar in IEEE Computer Graphics and Applications, January 2000. (bibtex: Laidlaw-2000-ACO).
[Laidlaw et al., 2000]
David H. Laidlaw, Michael Tarr, and George Karniadakis. Visualization of Multi-valued Scientific Data: Applying Ideas from Art and Perceptual Psychology. NSF ITR Grant Proposal, September 2000. (pdf) (bibtex: Laidlaw-2000-VMS).
[Leymarie et al., 2000]
Frediric Leymarie, David Cooper, Martha Joukowsky, Benjamin Kimia, David H. Laidlaw, David Mumford, and Eileen Vote. The SHAPE Lab—New Technology and Software for Archaeologists. In Proceedings of Computer Applications in Archaeology 2000, BAR International Series 931, pages 79-89, Oxford, England, April 2000. Archaeopress. (pdf) (bibtex: Leymarie-2000-SLN).
[Tyszka et al., 2000]
J. Michael Tyszka, David H. Laidlaw, Joseph W. Asa, Jeffrey, and M. Silverman. Three-dimensional Time-resolved (4D) Relative Pressure Mapping using Magnetic Resonance Imaging. Journal of Magnetic Resonance Imaging, 12(2):321-329, August 2000. (pdf) (bibtex: Tyszka-2000-TTR).
[Vote et al., 2000]
Eileen Vote, Daniel Acevedo, David H. Laidlaw, and Martha Joukowsky. ARCHAVE: A Virtual Environment for Archaeological Research. In Proceedings of Computer Applications in Archaeology 2000, BAR International Series 931, pages 313-316, Oxford, England, April 2000. Archaeopress. (pdf) (bibtex: Vote-2000-AAV).
[Vote et al., 2000]
Eileen Vote, Daniel Acevedo, Martha Joukowsky, and David H. Laidlaw. What's Virtual Reality Good For? The ARCHAVE System— Problems and Possibilities. In Proc. Virtual Archaeology between Scientific Research Territorial Marketing (VAST), pages 83-86, November 2000. (pdf) (bibtex: Vote-2000-VRS).
[Zhang et al., 2000]
Song Zhang, Charles T. Curry, Daniel S. Morris, and David H. Laidlaw. Streamtubes and Streamsurfaces for Visualizing Diffusion Tensor MRI Volume Images. In Visualization '00 Work in Progress, October 2000. (pdf) (bibtex: Zhang-2000-SSV).
[Zhang et al., 2000]
Song Zhang, Charles T. Curry, Daniel S. Morris, and David H. Laidlaw. Visualizing Diffusion Tensor MR Images Using Streamtubes and Streamsurfaces. Poster at Human Brain Project Annual Meeting, NIH, Bethesda, MD, May 2000. (bibtex: Zhang-2000-VDT).
[van Dam et al., 2000]
Andries van Dam, Andrew Forsberg, David H. Laidlaw, Joseph LaViola, and Rosemary Michelle Simpson. Immersive VR for Scientific Visualization: A Progress Report. IEEE Computer Graphics and Applications, 20(6):26-52, November/December 2000. (pdf) (bibtex: vanDam-2000-IVR).

1999

[Ahrens et al., 1999]
Eric T. Ahrens, David H. Laidlaw, Carol Readhead, and Scott E. Fraser. Investigating White Matter Diffusion Anisotropy Using the Desmyelinating Shiverer Mutant Mouse. In Proc. 7th International Society for MR in Medicine, May 1999. (bibtex: Laidlaw-1999-IWM).
[Jacobs et al., 1999]
Russell E. Jacobs, Eric T. Ahrens, Mary E Dickinson, and David H. Laidlaw. Towards a MicroMRI Atlas of Mouse Development. Computerized Medical Imaging and Graphics, 23(1):15-24, January-February 1999. (pdf) (bibtex: Jacobs-1999-TMA).
[Kirby et al., 1999]
Michael Kirby, H. Marmanis, and David H. Laidlaw. Visualizing Multivalued Data from 2D Incompressible Flows Using Concepts from Painting. In Proceedings of IEEE Visualization 1999, pages 333-340, 1999. (pdf) (bibtex: Kirby-1999-VMD).
[Laidlaw, 1999]
David H. Laidlaw. Continuous Bayesian Tissue Classification for Visualization Techniques. In Data Visualization Techniques, pages 107-129. John Wiley and Sons Ltd, 1999. (pdf) (bibtex: Laidlaw-1999-CBT).
[Laidlaw and Tyszka, 1999]
David H. Laidlaw and J.Michael Tyszka. A Demonstration of Errors in Relative Pressure Calculations for MR Velocity Data. In Proc. 7th International Society for MR in Medicine, May 1999. (pdf) (bibtex: Laidlaw-1999-DER).
[Laidlaw et al., 1999]
David H. Laidlaw, Kristen L. Cook, and Yuri M. Goldfeld. Evaluating Effects of Diffusion Weighting Choice on Accuracy of Diffusion Tensor MRI of Fixed Mouse Spinal Cord. In Proc. 7th International Society for MR in Medicine, Poster Session, May 1999. (pdf) (bibtex: Laidlaw-1999-EED).
[Swan et al., 1999]
J. Edward Swan, Victoria Interrante, David H. Laidlaw, Theresa-Marie Rhyne, and Tamara Munzner. Visualization Needs More Visual Design! Sensory Design Issues as a Driving Problem for Visualization Research. In Proceedings of IEEE Visualization Conference, pages 485-490, San Francisco, California, 1999. (pdf) (bibtex: Swan-1999-VNM).

1998

[Ahrens et al., 1998]
Eric T. Ahrens, David H. Laidlaw, Carol Readhead, Celia F. Brosnan, and Scott E. Fraser. MR Microscopy of Transgenic Mice that Spontaneously Aquire Experimental Allergic Encephalomyelitis. Magnetic Resonance in Medicine, 40(1):119-132, July 1998. (pdf) (bibtex: Ahrens-1998-MMT).
[Ahrens et al., 1998]
Eric T. Ahrens, Scott E. Fraser, P. T. Narasimhan, Russell E. Jacobs, and David H. Laidlaw. Multi-valued MR Microscopy of the Embryonic Mouse Nervous System. In abstract and poster, ENC, 1998. (bibtex: Ahrens-1998-MVM).
[Laidlaw et al., 1998]
David H. Laidlaw, Kurt W. Fleischer, and Alan H. Barr. Partial-Volume Bayesian Classification of Material Mixtures in MR Volume Data Using Voxel Histograms. IEEE Transactions on Medical Imaging. Also reprinted in 2000 yearbook of Medical Informatics, International Medical Informatics Assoc., Shattauer, 2000., 17(1):74-86, February 1998. (pdf) (bibtex: Laidlaw-1998-PVB).
[Laidlaw, 1998]
David H. Laidlaw. On the Optimality of Partial Volume Classification Methods: Voxel Histogram Classification vs. Eigenimage Filtering. IEEE Transactions on Medical Imaging, 17(6):1094-1096, December 1998. (pdf) (bibtex: Laidlaw-1998-OPV).
[Laidlaw et al., 1998]
David H. Laidlaw, davidkremers, Felice Frankel, Victoria Interrante, and Thomas F. Banchoff. Panel: Art and Visualization: Oil and Water? In Proceedings of IEEE Visualization Conference, pages 507-509, Research Triangle Park, North Carolina, October 18—23 1998. (pdf) (bibtex: Laidlaw-1998-AVO).
[Laidlaw et al., 1998]
David H. Laidlaw, davidkremers, Eric T. Ahrens, and Matthew J. Avalos. Visually Representing Multi-valued Scientific Data Using Concepts from Oil Painting. In SIGGRAPH '98 Visual Proceedings (sketch), page 249, August 1998. (pdf) (bibtex: Laidlaw-1998-VRM).
[Laidlaw and Tyszka, 1998]
David H. Laidlaw and J. Michael Tyszka. Evaluating Numerical Methods for Blood Pressure MRI. In Laverna Titus Young Investigators forum, May 1998. (bibtex: Laidlaw-1998-ENM).
[Laidlaw et al., 1998]
David H. Laidlaw, Eric T. Ahrens, Matthew J. Avalos, Mark D. Montague, Alan H. Barr, Russell E. Jacobs, and Scott E. Fraser. Goal-directed Optimization of Magnetic Resonance Imaging. In Neuroscience Abstracts, November 1998. (bibtex: Laidlaw-1998-GOM).
[Laidlaw et al., 1998]
David H. Laidlaw, Eric T. Ahrens, davidkremers, Matthew J. Avalos, Carol Readhead, and Russell E. Jacobs. Visualizing Diffusion Tensor Images of the Mouse Spinal Cord. In Proceedings of IEEE Visualization 1998, pages 127-134. IEEE Computer Society Press, October 1998. (pdf) (bibtex: Laidlaw-1998-VDT).

1997

[Laidlaw et al., 1997]
David H. Laidlaw, Alan M. Barr, and Russell E. Jacobs. Goal-directed Magnetic Resonance Brain Micro-imaging. In Neuroinformatics: An Overview of the Human Brain Project, chapter 6, pages 125-202. Lawrence Erlbaum Assoc., 1997. (bibtex: Laidlaw-1997-GDM).
[Shan et al., 1997]
Jerry W. Shan, David H. Laidlaw, Galen G. Gornowicz, Daniel B. Lang, and Paul E. Dimotakis. Three-Dimensional Space-Time Structure of Turbulent Jets. In Proc. DFD97 Meeting of the American Physical Society, November 1997. (bibtex: Shan-1997-TSS).
[Tyszka et al., 1997]
J. Michael Tyszka, David H. Laidlaw, and J. M. Silverman. Relative Pressure Mapping using High-speed Three-dimensional Phase Contrast CINE MR Imaging. Radiology 205, Suppl. S, November 1997. (bibtex: Tyszka-1997-RPM).

1995

[Fleischer et al., 1995]
Kurt W. Fleischer, David H. Laidlaw, Bena L. Currin, and Alan H. Barr. Cellular Texture Generation. Proceedings of SIGGRAPH, Computer Graphics, 29(4):239-248, August 1995. (pdf) (bibtex: Fleischer-1995-CTG).
[Ghosh et al., 1995]
Pratik Ghosh, David H. Laidlaw, Kurt W. Fleischer, Alan Barr, and Russell E. Jacobs. Pure Phase-Encoded MRI and Classification of Solids. IEEE Transactions on Medical Imaging, 14(3):608-615, 1995. (pdf) (bibtex: Ghosh-1995-PPM).
[Laidlaw, 1995]
David H. Laidlaw. Bayesian Mixture Classification of MRI Data for Geometric Modeling and Visualization . In abstract and poster for International Workshop on Mixtures, September 1995. (bibtex: Laidlaw-1995-BMC).
[Laidlaw, 1995]
David H. Laidlaw. Geometric Model Extraction from Magnetic Resonance Volume Data. PhD thesis, California Institute of Technology, 1995. (pdf) (bibtex: Laidlaw-1995-GME).

1990

[Kirk et al., 1990]
David B. Kirk, David H. Laidlaw, and Alan H. Barr. Registration and Computational Staining of Multiple MRI Data Sets. In Proceedings of AUSGRAPH 1990, September 1990. (bibtex: Kirk-1990-RCS).

1989

[Upson et al., 1989]
Craig Upson, Thomas Faulhaber Jr., David Kamins, David H. Laidlaw, David Schlegel, Jeffrey Vroom, Robert Gurwitz, and Andries van Dam. The Application Visualization System: A Computational Environment for Scientific Visualization. IEEE Computer Graphics and Applications, 9(4):30-42, July 1989. (pdf) (bibtex: Upson-1989-AVS).

1987

[Kocak and Laidlaw, 1987]
Huseyin Kocak and David H. Laidlaw. Computer Graphics and the Geometry of S3. The Mathematical Intelligencer, 9(1):8-10, 1987. (bibtex: Kocak-1987-CGG).

1986

[Kocak et al., 1986]
Huseyin Kocak, Frederic Bisshopp, Thomas Banchoff, and David H. Laidlaw. Topology and Mechanics with Computer Graphics: Linear Hamiltonian Systems in Four Dimensions. Advances in Applied Mathematics, 7(3):282-308, 1986. (bibtex: Kocak-1986-TMC).
[Laidlaw et al., 1986]
David H. Laidlaw, W. Benjamin Trumbore, and John F. Hughes. Constructive Solid Geometry for Polyhedral Objects. In SIGGRAPH, pages 161-170, August 1986. (pdf) (bibtex: Laidlaw-1986-CSG).
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Other Bibliography

2006

[Marai et al., 2006]
G. Elisabeta Marai, David H. Laidlaw, and Joseph J. Crisco. Super-Resolution Registration Using Tissue-Classified Distance Fields. IEEE Transactions on Medical Imaging, 25(2):177-187, February 2006. (pdf) (bibtex: Marai-2006-SRU).

2003

[Laidlaw, 2003]
David H. Laidlaw. Annual report for Visualization of Multi-valued Scientific Data: Applying Ideas from Art and Perceptual Psychology. Unpublished (pdf) (bibtex: Laidlaw-2003-VMS), 2003.
[Laidlaw, 2003]
David H. Laidlaw. Progress report for Shape Capture and Modeling for Wrist Dynamics and Ancient Pottery Analysis using Manifold Surfaces and Signed-Distance Volume Images. Unpublished (pdf) (bibtex: Laidlaw-2003-SCM), 2003.

2000

[Laidlaw, 2000]
David H. Laidlaw. Shape Capture and Modeling for Wrist Dynamics and Ancient Pottery Analysis using Manifold Surfaces and Signed-Distance Volume Images. Unpublished (pdf) (bibtex: Laidlaw-2000-SCM), 2000.

1999

[Laidlaw, 1999]
David H. Laidlaw. Annual report for Computer Graphics Tools for Understanding Tensor-Valued Volume Data: A Painting Metaphor. Unpublished (pdf) (bibtex: Laidlaw-1999-CGT), 1999.

1996

[Laidlaw, 1996]
David H. Laidlaw. Computer Graphics Tools for Understanding Tensor-Valued Volume Data: A Painting Metaphor. Unpublished (pdf) (bibtex: Laidlaw-1996-CGT), September 1996.
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