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2020 – today
- 2025
[j22]Arran Zeyu Wang
, David Borland, Tabitha C. Peck, Wenyuan Wang, David Gotz:
Causal Priors and Their Influence on Judgements of Causality in Visualized Data. IEEE Trans. Vis. Comput. Graph. 31(1): 765-775 (2025)- [j21]Arran Zeyu Wang, David Borland, David Gotz:
Beyond Correlation: Incorporating Counterfactual Guidance to Better Support Exploratory Visual Analysis. IEEE Trans. Vis. Comput. Graph. 31(1): 776-786 (2025) - 2024
- [j20]David Borland, Arran Zeyu Wang, David Gotz:
Using Counterfactuals to Improve Causal Inferences From Visualizations. IEEE Computer Graphics and Applications 44(1): 95-104 (2024) - [j19]Arran Zeyu Wang, David Borland, David Gotz:
An empirical study of counterfactual visualization to support visual causal inference. Inf. Vis. 23(2): 197-214 (2024) - [i9]David Borland, Arran Zeyu Wang, David Gotz:
Using Counterfactuals to Improve Causal Inferences from Visualizations. CoRR abs/2401.08411 (2024) - [i8]Arran Zeyu Wang, David Borland, David Gotz:
An Empirical Study of Counterfactual Visualization to Support Visual Causal Inference. CoRR abs/2401.08822 (2024) - [i7]Arran Zeyu Wang, David Borland, Tabitha C. Peck, Wenyuan Wang, David Gotz:
Causal Priors and Their Influence on Judgements of Causality in Visualized Data. CoRR abs/2408.16077 (2024) - [i6]Arran Zeyu Wang, David Borland, David Gotz:
Beyond Correlation: Incorporating Counterfactual Guidance to Better Support Exploratory Visual Analysis. CoRR abs/2408.16078 (2024) - 2023
- [c17]Ziquan Wei, Tingting Dan, Jiaqi Ding, Carolyn M. McCormick, Felix A. Kyere, Minjeong Kim, David Borland, Jason L. Stein, Guorong Wu:
High Throughput Deep Model of 3D Nucleus Instance Segmentation by Stereo Stitching Contextual Gaps. ISBI 2023: 1-5 - 2022
- [j18]Smiti Kaul, David Borland, Nan Cao, David Gotz:
Improving Visualization Interpretation Using Counterfactuals. IEEE Trans. Vis. Comput. Graph. 28(1): 998-1008 (2022) - [c16]Yue Guo, David Borland, Carolyn M. McCormick, Jason L. Stein, Guorong Wu, Ashok Kumar Krishnamurthy:
Cell Counting with Inverse Distance Kernel and Self-supervised Learning. MOVI@MICCAI 2022: 1-10 - 2021
- [j17]David Borland, Carolyn M. McCormick, Niyanta K. Patel, Oleh Krupa, Jessica T. Mory, Alvaro A. Beltran, Tala M. Farah, Carla F. Escobar-Tomlienovich, Sydney S. Olson, Minjeong Kim, Guorong Wu, Jason L. Stein:
Segmentor: a tool for manual refinement of 3D microscopy annotations. BMC Bioinform. 22(1): 260 (2021) - [j16]David Borland, Jonathan Zhang, Smiti Kaul, David Gotz:
Selection-Bias-Corrected Visualization via Dynamic Reweighting. IEEE Trans. Vis. Comput. Graph. 27(2): 1481-1491 (2021) - [c15]Hong Yi, Chris Bizon, David Borland, Matthew Watson, Matthew Satusky, Robert Rittmuller, Randa Radwan, Raghavan Srinivasan, Ashok K. Krishnamurthy:
AI Tool with Active Learning for Detection of Rural Roadside Safety Features. IEEE BigData 2021: 5317-5326 - [c14]Kern Qi, David Borland, Emily Brunsen, James Minogue, Tabitha C. Peck:
The Impact of Prior Knowledge on the Effectiveness of Haptic and Visual Modalities for Teaching Forces. ICMI 2021: 203-211 - [c13]Junbo Ma, Oleh Krupa, Madison Rose Glass, Carolyn M. McCormick, David Borland, Minjeong Kim, Jason L. Stein, Guorong Wu:
3D Nucleus Instance Segmentation for Whole-Brain Microscopy Images. IPMI 2021: 504-516 - [c12]David Borland, Irena Brain, Karamarie Fecho, Emily R. Pfaff, Hao Xu, James Champion, Chris Bizon, David Gotz:
Enabling Longitudinal Exploratory Analysis of Clinical COVID Data. VAHC 2021: 19-24 - [i5]Smiti Kaul, David Borland, Nan Cao, David Gotz:
Improving Visualization Interpretation Using Counterfactuals. CoRR abs/2107.10309 (2021) - [i4]David Borland, Irena Brain, Karamarie Fecho, Emily R. Pfaff, Hao Xu, James Champion, Chris Bizon, David Gotz:
Enabling Longitudinal Exploratory Analysis of Clinical COVID Data. CoRR abs/2108.11476 (2021) - 2020
- [j15]David Borland, Wenyuan Wang, Jonathan Zhang, Joshua Shrestha, David Gotz:
Selection Bias Tracking and Detailed Subset Comparison for High-Dimensional Data. IEEE Trans. Vis. Comput. Graph. 26(1): 429-439 (2020) - [j14]David Gotz, Jonathan Zhang, Wenyuan Wang, Joshua Shrestha, David Borland:
Visual Analysis of High-Dimensional Event Sequence Data via Dynamic Hierarchical Aggregation. IEEE Trans. Vis. Comput. Graph. 26(1): 440-450 (2020) - [c11]David Gotz, Jonathan Zhang, Smiti Kaul, Georgiy Bobashev, David Borland:
Visual Analytics to Combat Selection Bias in Retrospective EHR Data Analyses. AMIA 2020 - [c10]Kern Qi, David Borland, Niall L. Williams, Emily Jackson, James Minogue, Tabitha C. Peck:
Augmenting Physics Education with Haptic and Visual Feedback. VR Workshops 2020: 439-443 - [c9]Kern Qi, David Borland, Emily Jackson, Niall L. Williams, James Minogue, Tabitha C. Peck:
The Impact of Haptic and Visual Feedback on Teaching. VR Workshops 2020: 613-614 - [i3]David Borland, Jonathan Zhang, Smiti Kaul, David Gotz:
Selection Bias-Corrected Visualization via Dynamic Reweighting. CoRR abs/2007.14964 (2020)
2010 – 2019
- 2019
- [j13]David Borland, Laura Christopherson, Charles Schmitt:
Ontology-Based Interactive Visualization of Patient-Generated Research Questions. Appl. Clin. Inform. 10(03): 377-386 (2019) - [j12]David Gotz, Wenyuan Wang, Annie T. Chen, David Borland:
Visualization model validation via inline replication. Inf. Vis. 18(4) (2019) - [j11]Danny T. Y. Wu, Annie T. Chen, John D. Manning, Gal Levy-Fix, Uba Backonja, David Borland, Jesus J. Caban, Dawn W. Dowding, Harry Hochheiser, Vadim Kagan, Swaminathan Kandaswamy, Manish Kumar, Alexis Nunez, Eric C. Pan, David Gotz:
Evaluating visual analytics for health informatics applications: a systematic review from the American Medical Informatics Association Visual Analytics Working Group Task Force on Evaluation. J. Am. Medical Informatics Assoc. 26(4): 314-323 (2019) - [c8]Jonathan Zhang, David Borland, Wenyuan Wang, Joshua Shrestha, David Gotz:
Dynamic Hierarchical Aggregation, Selection Bias Tracking, and Detailed Subset Comparison for High-Dimensional Event Sequence Data. VAHC 2019: 56-57 - [i2]David Gotz, Jonathan Zhang, Wenyuan Wang, Joshua Shrestha, David Borland:
Visual Analysis of High-Dimensional Event Sequence Data via Dynamic Hierarchical Aggregation. CoRR abs/1906.07617 (2019) - [i1]David Borland, Wenyuan Wang, Jonathan Zhang, Joshua Shrestha, David Gotz:
Selection Bias Tracking and Detailed Subset Comparison for High-Dimensional Data. CoRR abs/1906.07625 (2019) - 2018
- [j10]David Borland, Wenyuan Wang, David Gotz:
Contextual Visualization. IEEE Computer Graphics and Applications 38(6): 17-23 (2018) - 2016
- [j9]David Gotz, David Borland:
Data-Driven Healthcare: Challenges and Opportunities for Interactive Visualization. IEEE Computer Graphics and Applications 36(3): 90-96 (2016) - [c7]James Minogue, David Borland, Marc Russo, Shengyen Tony Chen:
Tracing the Development of a Haptically-enhanced Simulation for Teaching Phase Change. CHI PLAY (Companion) 2016: 213-219 - 2015
- [j8]Jared Vicory, Heather D. Couture, Nancy E. Thomas, David Borland, J. S. Marron, John T. Woosley, Marc Niethammer:
Appearance normalization of histology slides. Comput. Medical Imaging Graph. 43: 89-98 (2015) - [j7]Vivian West, David Borland, W. Ed Hammond:
Innovative information visualization of electronic health record data: a systematic review. J. Am. Medical Informatics Assoc. 22(2): 330-339 (2015) - 2014
- [j6]Bernhard Spanlang, Jean-Marie Normand, David Borland, Konstantina Kilteni, Elias Giannopoulos, Ausiàs Pomés, Mar González-Franco, Daniel Pérez-Marcos, Jorge Arroyo-Palacios, Xavi Navarro, Mel Slater:
How to Build an Embodiment Lab: Achieving Body Representation Illusions in Virtual Reality. Frontiers Robotics AI 1: 9 (2014) - [c6]Shengyen Tony Chen, David Borland, Marc Russo, Ryan Grady, James Minogue:
ASPECT sinking and floating: an interactive playable simulation for teaching buoyancy concepts. CHI PLAY 2014: 327-330 - [c5]Shengyen Tony Chen, David Borland, Marc Russo, Ryan Grady, James Minogue:
ASPECT: sinking and floating haptics for elementary school students. CHI PLAY 2014: 405-406 - 2013
- [j5]David Borland, Tabitha C. Peck, Mel Slater:
An Evaluation of Self-Avatar Eye Movement for Virtual Embodiment. IEEE Trans. Vis. Comput. Graph. 19(4): 591-596 (2013) - [c4]David Borland:
Integrating head and full-body tracking for embodiment in virtual characters. VR 2013: 81-82 - 2011
- [j4]David Borland, Alan Huber:
Collaboration-Specific Color-Map Design. IEEE Computer Graphics and Applications 31(4): 7-11 (2011) - [j3]David Borland:
Ambient Occlusion Opacity Mapping for Visualization of Internal Molecular Structure. J. WSCG 19(1): 17-24 (2011) - 2010
- [j2]Russell M. Taylor II, Jason Jerald, Chris VanderKnyff, Jeremy D. Wendt, David Borland, David Marshburn, William R. Sherman, Mary C. Whitton:
Lessons about Virtual Environment Software Systems from 20 Years of VE Building. Presence Teleoperators Virtual Environ. 19(2): 162-178 (2010) - [c3]Marc Niethammer, David Borland, J. S. Marron, John T. Woosley, Nancy E. Thomas:
Appearance Normalization of Histology Slides. MLMI 2010: 58-66
2000 – 2009
- 2009
- [c2]Marc Macenko, Marc Niethammer, J. S. Marron, David Borland, John T. Woosley, Xiaojun Guan, Charles Schmitt, Nancy E. Thomas:
A Method for Normalizing Histology Slides for Quantitative Analysis. ISBI 2009: 1107-1110 - 2007
- [j1]David Borland, Russell M. Taylor II:
Rainbow Color Map (Still) Considered Harmful. IEEE Computer Graphics and Applications 27(2): 14-17 (2007) - 2006
- [c1]David Borland, John-Paul Clarke, Julia Fielding, Russell M. Taylor II:
Volumetric depth peeling for medical image display. Visualization and Data Analysis 2006: 606004 - 2005
- [p1]Russell M. Taylor II, David Borland, Frederick P. Brooks Jr., Mike Falvo, Kevin Jeffay, Melissa Gail Jones, David Marshburn, Stergios J. Papadakis, Lu-Chang Qin, Adam Seeger, F. Donelson Smith, Diane H. Sonnenwald, Richard Superfine, Sean Washburn, Chris Weigle, Mary C. Whitton, Leandra Vicci, Martin Guthold, Tom Hudson, Phillip Williams, Warren Robinett:
Visualization and Natural Control Systems for Microscopy. The Visualization Handbook 2005: 893-918
Coauthor Index
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