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ORCIDDavid H. Laidlaw
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- affiliation: Brown University, Providence, USA
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2020 – today
- 2024
[j58]Johannes Novotny
, David H. Laidlaw:
Evaluating Text Reading Speed in VR Scenes and 3D Particle Visualizations. IEEE Trans. Vis. Comput. Graph. 30(5): 2602-2612 (2024)- 2023
- [j57]Fumeng Yang, James Tompkin, Lane Harrison, David H. Laidlaw:
Visual Cue Effects on a Classification Accuracy Estimation Task in Immersive Scatterplots. IEEE Trans. Vis. Comput. Graph. 29(12): 4858-4873 (2023) - [c76]Fumeng Yang, Yuxin Ma, Lane Harrison, James Tompkin, David H. Laidlaw:
How Can Deep Neural Networks Aid Visualization Perception Research? Three Studies on Correlation Judgments in Scatterplots. CHI 2023: 822:1-822:17 - 2022
- [d1]Mohak Patel, David H. Laidlaw:
Stress Tensor Field Data. IEEE DataPort, 2022
- 2021
- [j56]Ryan P. Cabeen, Arthur W. Toga, David H. Laidlaw:
Tractography Processing with the Sparse Closest Point Transform. Neuroinformatics 19(2): 367-378 (2021) - [j55]Mohak Patel, David H. Laidlaw:
Visualization of 3D Stress Tensor Fields Using Superquadric Glyphs on Displacement Streamlines. IEEE Trans. Vis. Comput. Graph. 27(7): 3264-3276 (2021) - [j54]Fumeng Yang, Jing Qian, Johannes Novotny, David Badre, Cullen D. Jackson, David H. Laidlaw:
A Virtual Reality Memory Palace Variant Aids Knowledge Retrieval from Scholarly Articles. IEEE Trans. Vis. Comput. Graph. 27(12): 4359-4373 (2021) - 2020
- [j53]Johannes Novotny, Wesley Miller, François I. Luks, Derek Merck, Scott Collins, David H. Laidlaw:
Towards Placental Surface Vasculature Exploration in Virtual Reality. IEEE Computer Graphics and Applications 40(1): 28-39 (2020) - [j52]Hua Guo, David H. Laidlaw:
Topic-Based Exploration and Embedded Visualizations for Research Idea Generation. IEEE Trans. Vis. Comput. Graph. 26(3): 1592-1607 (2020) - [j51]Jian Chen, Guohao Zhang, Wesley Chiou, David H. Laidlaw, Alexander P. Auchus:
Measuring the Effects of Scalar and Spherical Colormaps on Ensembles of DMRI Tubes. IEEE Trans. Vis. Comput. Graph. 26(9): 2818-2833 (2020) - [p7]Alfie Abdul-Rahman, Min Chen, David H. Laidlaw:
A Survey of Variables Used in Empirical Studies for Visualization. Foundations of Data Visualization 2020: 161-179 - [p6]Kresimir Matkovic, Thomas Wischgoll, David H. Laidlaw:
Empirical Evaluations with Domain Experts. Foundations of Data Visualization 2020: 181-194 - [p5]Caroline Ziemkiewicz, Min Chen, David H. Laidlaw, Bernhard Preim, Daniel Weiskopf:
Open Challenges in Empirical Visualization Research. Foundations of Data Visualization 2020: 243-252 - [i5]Min Chen, Alfie Abdul-Rahman, David H. Laidlaw:
The Huge Variable Space in Empirical Studies for Visualization - A Challenge as well as an opportunity for Visualization Psychology. CoRR abs/2009.13194 (2020)
2010 – 2019
- 2019
- [j50]Johannes Novotny, Joshua Tveite, Morgan L. Turner, Stephen M. Gatesy, Fritz Drury, Peter Falkingham, David H. Laidlaw:
Developing Virtual Reality Visualizations for Unsteady Flow Analysis of Dinosaur Track Formation using Scientific Sketching. IEEE Trans. Vis. Comput. Graph. 25(5): 2145-2154 (2019) - 2018
- [j49]Prithima Mosaly, Lukasz Mazur, Fei Yu, Hua Guo, Derek Merck, David H. Laidlaw, Carlton Moore, Lawrence B. Marks, Javed Mostafa:
Relating Task Demand, Mental Effort and Task Difficulty with Physicians' Performance during Interactions with Electronic Health Records (EHRs). Int. J. Hum. Comput. Interact. 34(5): 467-475 (2018) - [j48]Connor Gramazio, Jeff Huang, David H. Laidlaw:
An Analysis of Automated Visual Analysis Classification: Interactive Visualization Task Inference of Cancer Genomics Domain Experts. IEEE Trans. Vis. Comput. Graph. 24(8): 2270-2283 (2018) - [i4]Jian Chen, Guohao Zhang, Wesley Chiou, David H. Laidlaw, Alexander P. Auchus:
Measuring the Effects of Scalar and Spherical Colormaps on Ensembles of DMRI Tubes. CoRR abs/1810.07882 (2018) - 2017
- [j47]Laurie M. Baker, Sarah A. Cooley, Ryan P. Cabeen, David H. Laidlaw, John A. Joska, Jacqueline Hoare, Dan J. Stein, Jodi M. Heaps-Woodruff, Lauren E. Salminen, Robert H. Paul:
Topological Organization of Whole-Brain White Matter in HIV Infection. Brain Connect. 7(2): 115-122 (2017) - [j46]Ryan P. Cabeen, Mark E. Bastin, David H. Laidlaw:
A Comparative evaluation of voxel-based spatial mapping in diffusion tensor imaging. NeuroImage 146: 100-112 (2017) - [j45]Connor Gramazio, David H. Laidlaw, Karen B. Schloss:
Colorgorical: Creating discriminable and preferable color palettes for information visualization. IEEE Trans. Vis. Comput. Graph. 23(1): 521-530 (2017) - [j44]Steven R. Gomez, Radu Jianu, Ryan P. Cabeen, Hua Guo, David H. Laidlaw:
Fauxvea: Crowdsourcing Gaze Location Estimates for Visualization Analysis Tasks. IEEE Trans. Vis. Comput. Graph. 23(2): 1042-1055 (2017) - [c75]Tayo Obafemi-Ajayi, Khalid Al-Jabery, Lauren E. Salminen, David H. Laidlaw, Ryan P. Cabeen, Donald Wunsch, Robert H. Paul:
Neuroimaging biomarkers of cognitive decline in healthy older adults via unified learning. SSCI 2017: 1-9 - 2016
- [j43]Ryan P. Cabeen, Mark E. Bastin, David H. Laidlaw:
Kernel regression estimation of fiber orientation mixtures in diffusion MRI. NeuroImage 127: 158-172 (2016) - [j42]Hua Guo, Steven R. Gomez, Caroline Ziemkiewicz, David H. Laidlaw:
A Case Study Using Visualization Interaction Logs and Insight Metrics to Understand How Analysts Arrive at Insights. IEEE Trans. Vis. Comput. Graph. 22(1): 51-60 (2016) - [c74]Wallace Santos Lages, Gustavo A. Arango, David H. Laidlaw, John J. Socha, Doug A. Bowman:
Designing capsule, an input device to support the manipulation of biological datasets. 3DUI 2016: 255-256 - [c73]Wallace Santos Lages, Bireswar Laha, Wesley Miller, Johannes Novotny, David H. Laidlaw, John J. Socha, Doug A. Bowman:
Effects of field of regard and stereoscopy and the validity of MR simulation for visual analysis of scientific data. VR 2016: 215-216 - 2015
- [j41]Hua Guo, Jeff Huang, David H. Laidlaw:
Representing Uncertainty in Graph Edges: An Evaluation of Paired Visual Variables. IEEE Trans. Vis. Comput. Graph. 21(10): 1173-1186 (2015) - [c72]Bireswar Laha, Doug A. Bowman, David H. Laidlaw, John J. Socha:
A classification of user tasks in visual analysis of volume data. SciVis 2015: 1-8 - [c71]Scott Houde, Sheila Bonde, David H. Laidlaw:
An evaluation of three methods for visualizing uncertainty in architecture and archaeology. SciVis 2015: 149-150 - 2014
- [j40]Çagatay Demiralp, Carlos Eduardo Scheidegger, Gordon L. Kindlmann, David H. Laidlaw, Jeffrey Heer:
Visual Embedding: A Model for Visualization. IEEE Computer Graphics and Applications 34(1): 10-15 (2014) - [j39]Connor Gramazio, Karen B. Schloss, David H. Laidlaw:
The relation between visualization size, grouping, and user performance. IEEE Trans. Vis. Comput. Graph. 20(12): 1953-1962 (2014) - [c70]Eni Halilaj, Douglas C. Moore, Tarpit K. Patel, David H. Laidlaw, Amy L. Ladd, Arnold-Peter C. Weiss, Joseph J. Crisco:
Thumb carpometacarpal joint congruence during functional tasks and thumb range-of-motion activities. EMBC 2014: 4354-4357 - [c69]Steven R. Gomez, Hua Guo, Caroline Ziemkiewicz, David H. Laidlaw:
An insight- and task-based methodology for evaluating spatiotemporal visual analytics. IEEE VAST 2014: 63-72 - [c68]Anne Kenyon, John Van Rosendale, Samuel G. Fulcomer, David H. Laidlaw:
The design of a retinal resolution fully immersive VR display. VR 2014: 89-90 - [p4]Jian Chen, Haipeng Cai, Alexander P. Auchus, David H. Laidlaw:
Gryphon: A 'Little' Domain-Specific Programming Language for Diffusion MRI Visualizations. Handbook of Human Centric Visualization 2014: 41-61 - 2013
- [c67]Hua Guo, Arthur Yidi, Steven R. Gomez, Mark J. Schnitzer, David Badre, David H. Laidlaw:
Toward a visual interface for brain connectivity analysis. CHI Extended Abstracts 2013: 1761-1766 - [c66]Daniel F. Keefe, David H. Laidlaw:
Virtual Reality Data Visualization for Team-Based STEAM Education: Tools, Methods, and Lessons Learned. HCI (19) 2013: 179-187 - [c65]Ryan P. Cabeen, Mark E. Bastin, David H. Laidlaw:
Estimating Constrained Multi-fiber Diffusion MR Volumes by Orientation Clustering. MICCAI (1) 2013: 82-89 - [c64]Ryan P. Cabeen, David H. Laidlaw:
White Matter Supervoxel Segmentation by Axial DP-Means Clustering. MCV 2013: 95-104 - [i3]Haipeng Cai, Jian Chen, Alexander P. Auchus, David H. Laidlaw:
Composing DTI Visualizations with End-user Programming. CoRR abs/1310.2923 (2013) - 2012
- [j38]Radu Jianu, Çagatay Demiralp, David H. Laidlaw:
Exploring Brain Connectivity with Two-Dimensional Neural Maps. IEEE Trans. Vis. Comput. Graph. 18(6): 978-987 (2012) - [j37]Jian Chen, Haipeng Cai, Alexander P. Auchus, David H. Laidlaw:
Effects of Stereo and Screen Size on the Legibility of Three-Dimensional Streamtube Visualization. IEEE Trans. Vis. Comput. Graph. 18(12): 2130-2139 (2012) - [j36]Steven R. Gomez, Radu Jianu, Caroline Ziemkiewicz, Hua Guo, David H. Laidlaw:
Different Strokes for Different Folks: Visual Presentation Design between Disciplines. IEEE Trans. Vis. Comput. Graph. 18(12): 2411-2420 (2012) - [c63]Devon Penney, Jian Chen, David H. Laidlaw:
Effects of illumination, texture, and motion on task performance in 3D tensor-field streamtube visualizations. PacificVis 2012: 97-104 - [c62]Caroline Ziemkiewicz, Steven R. Gomez, David H. Laidlaw:
Analysis within and between graphs: observed user strategies in immunobiology visualization. CHI 2012: 1655-1658 - [c61]Steven R. Gomez, David H. Laidlaw:
Modeling task performance for a crowd of users from interaction histories. CHI 2012: 2465-2468 - [c60]Radu Jianu, David H. Laidlaw:
An evaluation of how small user interface changes can improve scientists' analytic strategies. CHI 2012: 2953-2962 - [c59]Hua Guo, Diem Tran, David H. Laidlaw:
Incorporating GOMS analysis into the design of an EEG data visual analysis tool. IEEE VAST 2012: 223-224 - [c58]Haipeng Cai, Jian Chen, Alexander P. Auchus, Stephen Correia, David H. Laidlaw:
InShape: In-Situ Shape-Based Interactive Multiple-View Exploration of Diffusion MRI Visualizations. ISVC (2) 2012: 706-715 - 2011
- [c57]Guangxia Li, Andrew Bragdon, Zhigeng Pan, Mingmin Zhang, Sharon M. Swartz, David H. Laidlaw, Chaoyang Zhang, Hanyu Liu, Jian Chen:
VisBubbles: a workflow-driven framework for scientific data analysis of time-varying biological datasets. SIGGRAPH Asia Posters 2011: 27:1 - [c56]Liming Xu, Jeremy Lyle, Yubao Wu, Zhigeng Pan, Mingmin Zhang, David H. Laidlaw, Robert L. Hester, Jian Chen:
HumMod explorer: a multi-scale time-varying human modeling navigator. SIGGRAPH Asia Posters 2011: 28:1 - 2010
- [j35]Ryan A. Boller, Scott A. Braun, Jadrian Miles, David H. Laidlaw:
Application of uncertainty visualization methods to meteorological trajectories. Earth Sci. Informatics 3(1-2): 119-126 (2010) - [j34]Hans-Christian Hege, David H. Laidlaw, Raghu Machiraju:
Guest Editors' Introduction: Special Section on Volume Graphics and Point-Based Graphics. IEEE Trans. Vis. Comput. Graph. 16(4): 531-532 (2010) - [j33]Radu Jianu, Kebing Yu, Lulu Cao, Vinh Nguyen, Arthur R. Salomon, David H. Laidlaw:
Visual Integration of Quantitative Proteomic Data, Pathways, and Protein Interactions. IEEE Trans. Vis. Comput. Graph. 16(4): 609-620 (2010) - [j32]Trevor M. O'Brien, Anna M. Ritz, Benjamin J. Raphael, David H. Laidlaw:
Gremlin: An Interactive Visualization Model for Analyzing Genomic Rearrangements. IEEE Trans. Vis. Comput. Graph. 16(6): 918-926 (2010) - [c55]Steven R. Gomez, Radu Jianu, David H. Laidlaw:
A Fiducial-Based Tangible User Interface for White Matter Tractography. ISVC (2) 2010: 373-381 - [c54]Radu Jianu, David H. Laidlaw:
Visualizing Gene Co-expression as Google Maps. ISVC (3) 2010: 494-503 - [c53]Çagatay Demiralp, David H. Laidlaw:
Tract-Based Probability Densities of Diffusivity Measures in DT-MRI. MICCAI (1) 2010: 542-549 - [c52]Trevor M. O'Brien, David H. Laidlaw:
Toward a machine learning approach for classifying user goals from user interactions. SI3D 2010 - [c51]Jian Chen, Daniel K. Riskin, Tatjana Y. Hubel, David J. Willis, Arnold Song, Hanyu Liu, Kenneth Breuer, Sharon Swartz, David H. Laidlaw:
Exploration of bat wing morphology through a strip method and visualization. SIGGRAPH Talks 2010
2000 – 2009
- 2009
- [j31]Stephen Correia, Stephanie Y. Lee, Thom Voorn, David F. Tate, Robert H. Paul, Song Zhang, Stephen P. Salloway, Paul F. Malloy, David H. Laidlaw:
Corrigendum to "Quantitative tractography metrics of white matter integrity in diffusion-tensor MRI" [NeuroImage 42 (2008) 568-581]. NeuroImage 46(1): 344 (2009) - [j30]Andrew S. Forsberg, Jian Chen, David H. Laidlaw:
Comparing 3D Vector Field Visualization Methods: A User Study. IEEE Trans. Vis. Comput. Graph. 15(6): 1219-1226 (2009) - [j29]Radu Jianu, Çagatay Demiralp, David H. Laidlaw:
Exploring 3D DTI Fiber Tracts with Linked 2D Representations. IEEE Trans. Vis. Comput. Graph. 15(6): 1449-1456 (2009) - [j28]Çagatay Demiralp, John F. Hughes, David H. Laidlaw:
Coloring 3D Line Fields Using Boy's Real Projective Plane Immersion. IEEE Trans. Vis. Comput. Graph. 15(6): 1457-1464 (2009) - [c50]Jian Chen, Doug A. Bowman, David H. Laidlaw:
Poster: A hybrid direct visual editing method for architectural massing study in virtual environments. 3DUI 2009: 143-144 - [c49]Jian Chen, Mykhaylo Kostandov, Igor Pivkin, Daniel K. Riskin, David J. Willis, Sharon Swartz, David H. Laidlaw:
Visual Analysis of Dimensionality Reduction in an Interactive Virtual Environment for Exploring Bat Flight Kinematics. EGVE/ICAT/EuroVR 2009: 77-84 - [c48]Radu Jianu, Adrian Rusu, Andrew J. Fabian, David H. Laidlaw:
A Coloring Solution to the Edge Crossing Problem. IV 2009: 691-696 - [c47]Andrew Bragdon, David H. Laidlaw:
The design and evaluation of a lightweight multi-view interaction metaphor for 3D visualization in the CAVE. SIGGRAPH Posters 2009 - [e2]Bernhard Burgeth, David H. Laidlaw:
New Developments in the Visualization and Processing of Tensor Fields, 19.07. - 24.07.2009. Dagstuhl Seminar Proceedings 09302, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, Germany 2009 [contents] - [i2]Bernhard Burgeth, David H. Laidlaw:
09302 Abstracts Collection - New Developments in the Visualization and Processing of Tensor Fields. New Developments in the Visualization and Processing of Tensor Fields 2009 - [i1]Bernhard Burgeth, David H. Laidlaw:
09302 Summary - New Developments in the Visualization and Processing of Tensor Fields. New Developments in the Visualization and Processing of Tensor Fields 2009 - 2008
- [j27]Robert Kosara, Fritz Drury, Lars Erik Holmquist, David H. Laidlaw:
Visualization Criticism. IEEE Computer Graphics and Applications 28(3): 13-15 (2008) - [j26]Daniel F. Keefe, Trevor M. O'Brien, D. B. Baier, Stephen M. Gatesy, E. L. Brainerd, David H. Laidlaw:
Exploratory Visualization of Animal Kinematics Using Instantaneous Helical Axes. Comput. Graph. Forum 27(3): 863-870 (2008) - [j25]Stephen Correia, Stephanie Y. Lee, Thom Voorn, David F. Tate, Robert H. Paul, Song Zhang, Stephen P. Salloway, Paul F. Malloy, David H. Laidlaw:
Quantitative tractography metrics of white matter integrity in diffusion-tensor MRI. NeuroImage 42(2): 568-581 (2008) - [j24]Daniel F. Keefe, Daniel Acevedo Feliz, Jadrian Miles, Fritz Drury, Sharon Swartz, David H. Laidlaw:
Scientific Sketching for Collaborative VR Visualization Design. IEEE Trans. Vis. Comput. Graph. 14(4): 835-847 (2008) - [j23]Daniel Acevedo Feliz, Cullen D. Jackson, Fritz Drury, David H. Laidlaw:
Using Visual Design Experts in Critique-Based Evaluation of 2D Vector Visualization Methods. IEEE Trans. Vis. Comput. Graph. 14(4): 877-884 (2008) - [j22]Song Zhang, Stephen Correia, David H. Laidlaw:
Identifying White-Matter Fiber Bundles in DTI Data Using an Automated Proximity-Based Fiber-Clustering Method. IEEE Trans. Vis. Comput. Graph. 14(5): 1044-1053 (2008) - [c46]Daniel F. Keefe, Robert C. Zeleznik, David H. Laidlaw:
Tech-note: Dynamic Dragging for Input of 3D Trajectories. 3DUI 2008: 51-54 - [c45]Çagatay Demiralp, Gregory Shakhnarovich, Song Zhang, David H. Laidlaw:
A Slicing-Based Coherence Measure for Clusters of DTI Integral Curves. MICCAI (1) 2008: 1051-1059 - [e1]Hans-Christian Hege, David H. Laidlaw, Renato Pajarola, Oliver G. Staadt:
Eurographics / IEEE VGTC Symposium on Volume and Point-Based Graphics - 7th International Symposium on Volume Graphics, 5th Symposium on Point-Based Graphics, VG/PBG@SIGGRAPH 2008, Los Angeles, CA, USA, August 10-11, 2008. Eurographics Association 2008, ISBN 978-3-905674-12-5 [contents] - 2007
- [j21]Daniel F. Keefe, Robert C. Zeleznik, David H. Laidlaw:
Drawing on Air: Input Techniques for Controlled 3D Line Illustration. IEEE Trans. Vis. Comput. Graph. 13(5): 1067-1081 (2007) - [j20]G. Elisabeta Marai, Cindy M. Grimm, David H. Laidlaw:
Arthrodial Joint Markerless Cross-Parameterization and Biomechanical Visualization. IEEE Trans. Vis. Comput. Graph. 13(5): 1095-1104 (2007) - [c44]Chipalo Street, David H. Laidlaw:
Interactively mitigating visual confusion by using a visual mixing board. SIGGRAPH Posters 2007: 129 - [c43]Jian Chen, Andrew S. Forsberg, Mykhaylo Kostandov, David J. Willis, David H. Laidlaw:
The effect of using large, high-resolution stereoscopic displays for flow visualization. SIGGRAPH Posters 2007: 165 - 2006
- [j19]G. Elisabeta Marai, David H. Laidlaw, Joseph J. Crisco:
Super-resolution registration using tissue-classified distance fields. IEEE Trans. Medical Imaging 25(2): 177-187 (2006) - [j18]Çagatay Demiralp, Cullen D. Jackson, David B. Karelitz, Song Zhang, David H. Laidlaw:
CAVE and Fishtank Virtual-Reality Displays: A Qualitative and Quantitative Comparison. IEEE Trans. Vis. Comput. Graph. 12(3): 323-330 (2006) - [j17]Daniel Acevedo Feliz, David H. Laidlaw:
Subjective Quantification of Perceptual Interactions among some 2D Scientific Visualization Methods. IEEE Trans. Vis. Comput. Graph. 12(5): 1133-1140 (2006) - [j16]Vadim A. Slavin, Robert Pelcovits, George Loriot, Andrew Callan-Jones, David H. Laidlaw:
Techniques for the Visualization of Topological Defect Behavior in Nematic Liquid Crystals. IEEE Trans. Vis. Comput. Graph. 12(5): 1323-1328 (2006) - [c42]G. Elisabeta Marai, Joseph J. Crisco, David H. Laidlaw:
A Kinematics-Based Method For Generating Cartilage Maps and Deformations in the Multi-Articulating Wrist Joint From CT Images. EMBC 2006: 2079-2082 - [c41]Song Zhang, David H. Laidlaw:
Sampling DTI fibers in the human brain based on DWI forward modeling. EMBC 2006: 4885-4888 - [c40]Çagatay Demiralp, Song Zhang, David F. Tate, Stephen Correia, David H. Laidlaw:
Connectivity-Aware Sectional Visualization of 3D DTI Volumes using Perceptual Flat-Torus Coloring and Edge Rendering. Eurographics (Short Presentations) 2006: 119-122 - [c39]Peter Richardson, Igor Pivkin, George E. Karniadakis, David H. Laidlaw:
Blood Flow at Arterial Branches: Complexities to Resolve for the Angioplasty Suite. International Conference on Computational Science (3) 2006: 538-545 - [c38]Wenjin Zhou, Peter G. Sibley, Song Zhang, David F. Tate, David H. Laidlaw:
Perceptual coloring and 2D sketching for segmentation of neural pathways. SIGGRAPH Research Posters 2006: 172 - [p3]Anna Vilanova, Song Zhang, Gordon L. Kindlmann, David H. Laidlaw:
An Introduction to Visualization of Diffusion Tensor Imaging and Its Applications. Visualization and Processing of Tensor Fields 2006: 121-153 - 2005
- [j15]Daniel F. Keefe, David B. Karelitz, Eileen Vote, David H. Laidlaw:
Artistic Collaboration in Designing VR Visualizations. IEEE Computer Graphics and Applications 25(2): 18-23 (2005) - [j14]David H. Laidlaw, Robert M. Kirby, Cullen D. Jackson, J. Scott Davidson, Timothy S. Miller, Marco da Silva, William H. Warren, Michael J. Tarr:
Comparing 2D Vector Field Visualization Methods: A User Study. IEEE Trans. Vis. Comput. Graph. 11(1): 59-70 (2005) - [c37]Igor Pivkin, Eduardo Hueso, Rachel Weinstein, David H. Laidlaw, Sharon Swartz, George E. Karniadakis:
Simulation and Visualization of Air Flow Around Bat Wings During Flight. International Conference on Computational Science (2) 2005: 689-694 - [c36]Daniel F. Keefe, David H. Laidlaw:
A haptic interface for creating smooth 3D curves with varying line weight. SIGGRAPH Posters 2005: 99 - [c35]Daniel Acevedo Feliz, David H. Laidlaw, Fritz Drury:
Using Visual Design Expertise to Characterize the Effectiveness of 2D Scientific Visualization Methods. IEEE Visualization 2005: 101 - [c34]Donald H. House, Victoria Interrante, David H. Laidlaw, Russell M. Taylor II, Colin Ware:
Design and Evaluation in Visualization Research. IEEE Visualization 2005: 117 - [p2]Song Zhang, David H. Laidlaw, Gordon L. Kindlmann:
Diffusion Tensor MRI Visualization. The Visualization Handbook 2005: 327-340 - [p1]Robert M. Kirby, Daniel F. Keefe, David H. Laidlaw:
Painting and Visualization. The Visualization Handbook 2005: 873-891 - 2004
- [j13]Jason S. Sobel, Andrew S. Forsberg, David H. Laidlaw, Robert C. Zeleznik, Daniel F. Keefe, Igor Pivkin, George E. Karniadakis, Peter Richardson, Sharon Swartz:
Particle Flurries: Synoptic 3D Pulsatile Flow Visualization. IEEE Computer Graphics and Applications 24(2): 76-85 (2004) - [j12]G. Elisabeta Marai, David H. Laidlaw, Çagatay Demiralp, Stuart Andrews, Cindy M. Grimm, Joseph J. Crisco:
Estimating joint contact areas and ligament lengths from bone kinematics and surfaces. IEEE Trans. Biomed. Eng. 51(5): 790-799 (2004) - [j11]Andreas Wenger, Daniel F. Keefe, Song Zhang, David H. Laidlaw:
Interactive Volume Rendering of Thin Thread Structures within Multivalued Scientific Data Sets. IEEE Trans. Vis. Comput. Graph. 10(6): 664-672 (2004) - [c33]Song Zhang, David H. Laidlaw:
A Model for Some Subcortical DTI Planar and Linear Anisotropy. MICCAI (2) 2004: 1071-1073 - [c32]Daniel Acevedo Feliz, Song Zhang, David H. Laidlaw, Christopher W. Bull:
Color Rapid Prototyping for Diffusion-Tensor MRI Visualization. MICCAI (2) 2004: 1076-1078 - [c31]Rachel Weinstein, Eduardo Hueso, Igor Pivkin, Sharon Swartz,