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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, David H. Laidlaw, George E. Karniadakis, Kenneth Breuer:
Simulation and visualization of flow around bat wings during flight. SIGGRAPH Posters 2004: 103 - [c30]David Eigen, Daniel H. Grollman, David H. Laidlaw, Benjamin D. Greenberg, Erin Einbinder:
Visualizing deep brain stimulation settings in obsessive compulsive disorder. SIGGRAPH Posters 2004: 110 - [c29]Igor Pivkin, Nicholas C. Yang, Peter Richardson, George E. Karniadakis, David H. Laidlaw:
Visualization of blood platelets in a virtual environment. SIGGRAPH Posters 2004: 111 - [c28]Eduardo Hueso, Igor Pivkin, Sharon Swartz, David H. Laidlaw, George E. Karniadakis, Kenny Breuer:
Visualization of Vortices in Simulated Airflow around Bat Wings During Flight. IEEE Visualization 2004: 20 - [c27]Vadim A. Slavin, David H. Laidlaw, Robert Pelcovits, Song Zhang, George Loriot, Andrew Callan-Jones:
Visualization of Topological Defects in Nematic Liquid Crystals Using Streamtubes, Streamsurfaces and Ellipsoids. IEEE Visualization 2004: 21 - [c26]Song Zhang, David H. Laidlaw:
DTI Fiber Clustering in the Whole Brain. IEEE Visualization 2004: 28 - [c25]Song Zhang, David H. Laidlaw, Jack Simon, Mark Brown, David Miller:
Visualization of the Interaction of Multiple Sclerosis Lesions with Adjacent White Matter Fibers Using Streamtubes and Streamsurfaces. IEEE Visualization 2004: 29 - [c24]G. Elisabeta Marai, Çagatay Demiralp, Stuart Andrews, David H. Laidlaw:
JointViewer - An Interactive System for Exploring Orthopedic Data. IEEE Visualization 2004: 35 - [c23]Kelly P. Gaither, David S. Ebert, Bill Geisler, David H. Laidlaw:
Panel 2: In the Eye of the Beholder: The Role of Perception in Scientific Visualization. IEEE Visualization 2004: 567-568 - [c22]Jon D. Genetti, Michael J. Bailey, David H. Laidlaw, Robert J. Moorhead, Ross T. Whitaker:
Panel 4: What Should We Teach in a Scientific Visualization Class? IEEE Visualization 2004: 573-575 - 2003
- [j10]Robert Kosara, Christopher G. Healey, Victoria Interrante, David H. Laidlaw, Colin Ware:
User Studies: Why, How, and When? IEEE Computer Graphics and Applications 23(4): 20-25 (2003) - [j9]Song Zhang, Çagatay Demiralp, David H. Laidlaw:
Visualizing Diffusion Tensor MR Images Using Streamtubes and Streamsurfaces. IEEE Trans. Vis. Comput. Graph. 9(4): 454-462 (2003) - [c21]Cullen D. Jackson, Daniel Acevedo Feliz, David H. Laidlaw, Fritz Drury, Eileen Vote, Daniel F. Keefe:
Designer-critiqued comparison of 2D vector visualization methods: a pilot study. SIGGRAPH 2003 - [c20]Eileen Vote, Daniel Acevedo Feliz, Cullen D. Jackson, Jason S. Sobel, David H. Laidlaw:
Design-by-example: a schema for designing visualizations using examples from art. SIGGRAPH 2003 - [c19]Theresa-Marie Rhyne, Melanie Tory, Tamara Munzner, Matthew O. Ward, Chris R. Johnson, David H. Laidlaw:
Information and Scientific Visualization: Separate but Equal or Happy Together at Last. IEEE Visualization 2003: 619-621 - 2002
- [j8]Andries van Dam, David H. Laidlaw, Rosemary Michelle Simpson:
Experiments in Immersive Virtual Reality for Scientific Visualization. Comput. Graph. 26(4): 535-555 (2002) - [j7]Eileen Vote, Daniel Acevedo Feliz, David H. Laidlaw, Martha Sharp Joukowsky:
Discovering Petra: Archaeological Analysis in VR. IEEE Computer Graphics and Applications 22(5): 38-50 (2002) - [c18]Stuart Andrews, David H. Laidlaw:
Toward a Framework for Assembling Broken Pottery Vessels. AAAI/IAAI 2002: 945-946 - [c17]David B. Cooper, Andrew R. Willis, Stuart Andrews, Jill Baker, Yan Cao, Dongjin Han, Kongbin Kang, Weixin Kong, Frederic F. Leymarie, Xavier Orriols, Senem Velipasalar, Eileen Vote, Martha Sharp Joukowsky, Benjamin B. Kimia, David H. Laidlaw, David Mumford:
Bayesian Pot-Assembly from Fragments as Problems in Perceptual-Grouping and Geometric-Learning. ICPR (3) 2002: 297-302 - [c16]Iain H. Woodhouse, Dean Turner, David H. Laidlaw:
Improving the visualisation of polarimetric response in SAR imagery from pixels to images. IGARSS 2002: 726-728 - [c15]Dean Turner, Iain H. Woodhouse, David H. Laidlaw:
A synoptic visualisation of fully polarimetric SAR data-an annotated example icon. IGARSS 2002: 2717-2719 - 2001
- [j6]David H. Laidlaw:
Loose, Artistic "Textures" for Visualization. IEEE Computer Graphics and Applications 21(2): 6-9 (2001) - [c14]Song Zhang, Çagatay Demiralp, M. DaSilva, Daniel F. Keefe, David H. Laidlaw, Benjamin D. Greenberg, Peter J. Basser, Carlo Pierpaoli, E. A. Chiocca, Thomas S. Deisboeck:
Toward Application of Virtual Reality to Visualization of DT-MRI Volumes. MICCAI 2001: 1406-1408 - [c13]Daniel F. Keefe, Daniel Acevedo Feliz, Tomer Moscovich, David H. Laidlaw, Joseph J. LaViola Jr.:
CavePainting: a fully immersive 3D artistic medium and interactive experience. SI3D 2001: 85-93 - [c12]David B. Cooper, Andrew R. Willis, Stuart Andrews, Jill Baker, Yan Cao, Dongjin Han, Kongbin Kang, Weixin Kong, Frederic F. Leymarie, Xavier Orriols, Senem Velipasalar, Eileen Vote, Martha Sharp Joukowsky, Benjamin B. Kimia, David H. Laidlaw, David Mumford:
Assembling virtual pots from 3D measurements of their fragments. Virtual Reality, Archeology, and Cultural Heritage 2001: 241-254 - [c11]David H. Laidlaw, Robert M. Kirby, J. Scott Davidson, Timothy S. Miller, Marco da Silva, William H. Warren, Michael J. Tarr:
Quantitative Comparative Evaluation of 2D Vector Field Visualization Methods. IEEE Visualization 2001: 143-150 - [c10]Song Zhang, Çagatay Demiralp, Daniel F. Keefe, M. DaSilva, David H. Laidlaw, Benjamin D. Greenberg, Peter J. Basser, Carlo Pierpaoli, E. A. Chiocca, Thomas S. Deisboeck:
An Immersive Virtual Environment for DT-MRI Volume Visualization Applications: A Case Study. IEEE Visualization 2001: 437-440 - [c9]Daniel Acevedo Feliz, Eileen Vote, David H. Laidlaw, Martha Sharp Joukowsky:
Archaeological Data Visualization in VR: Analysis of Lamp Finds at the Great Temple of Petra, a Case Study. IEEE Visualization 2001: 493-496 - 2000
- [j5]Andries van Dam, Andrew S. Forsberg, David H. Laidlaw, Joseph J. LaViola Jr., Rosemary Michelle Simpson:
Immersive VR for Scientific Visualization: A Progress Report. IEEE Computer Graphics and Applications 20(6): 26-52 (2000) - [c8]Andrew S. Forsberg, David H. Laidlaw, Andries van Dam, Robert M. Kirby, George E. Karniadakis, Jonathan L. Elion:
Immersive virtual reality for visualizing flow through an artery. IEEE Visualization 2000: 457-460
1990 – 1999
- 1999
- [c7]Robert M. Kirby, H. Marmanis, David H. Laidlaw:
Visualizing Multivalued Data from 2D Incompressible Flows Using Concepts from Painting. IEEE Visualization 1999: 333-340 - [c6]J. Edward Swan II, Theresa-Marie Rhyne, David H. Laidlaw, Tamara Munzner, Victoria Interrante:
Visualization Needs More Visual Design! IEEE Visualization 1999: 485-490 - 1998
- [j4]David H. Laidlaw, Kurt W. Fleischer, Alan H. Barr:
Partial-Volume Bayesian Classification of Material Mixtures in MR Volume Data Using Voxel Histograms. IEEE Trans. Medical Imaging 17(1): 74-86 (1998) - [j3]David H. Laidlaw:
On the Optimality of Partial Volume Classification Methods: Voxel Histogram Classification vs. Eigenimage Filtering. IEEE Trans. Medical Imaging 17(6): 1094-1096 (1998) - [c5]David H. Laidlaw, David Kremers, Eric T. Ahrens, Matthew J. Avalos:
Visually representing multi-valued scientific data using concepts from painting. SIGGRAPH Abstracts and Applications 1998: 249 - [c4]David H. Laidlaw, Eric T. Ahrens, David Kremers, Matthew J. Avalos, Russell E. Jacobs, Carol Readhead:
Visualizing diffusion tensor images of the mouse spinal cord. IEEE Visualization 1998: 127-134 - [c3]David H. Laidlaw, David Kremers, Felica Frankel, Victoria Interrante, Thomas F. Banchoff:
Art and visualization: oil and water? IEEE Visualization 1998: 507-509 - 1995
- [b1]David H. Laidlaw:
Geometric model extraction from magnetic resonance volume data. California Institute of Technology, USA, 1995 - [j2]Pratik Ghosh, David H. Laidlaw, Kurt W. Fleischer, Alan H. Barr, Russell E. Jacobs:
Pure phase-encoded MRI and classification of solids. IEEE Trans. Medical Imaging 14(3): 616-620 (1995) - [c2]Kurt W. Fleischer, David H. Laidlaw, Bena L. Currin, Alan H. Barr:
Cellular texture generation. SIGGRAPH 1995: 239-248
1980 – 1989
- 1989
- [j1]Craig Upson, Thomas A. Faulhaber Jr., David Kamins, David H. Laidlaw, David Schlegel, Jefrey Vroom, Robert F. Gurwitz, Andries van Dam:
The application visualization system: a computational environment for scientific visualization. IEEE Computer Graphics and Applications 9(4): 30-42 (1989) - 1986
- [c1]David H. Laidlaw, W. Benjamin Trumbore, John F. Hughes:
Constructive solid geometry for polyhedral objects. SIGGRAPH 1986: 161-170
Coauthor Index
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