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2020 – today

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2024
[j20]
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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]
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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]
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  - journals/corr/abs-2401-08411
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David Borland, Arran Zeyu Wang, David Gotz:
Using Counterfactuals to Improve Causal Inferences from Visualizations. CoRR abs/2401.08411 (2024)
[i8]
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  - journals/corr/abs-2401-08822
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Arran Zeyu Wang, David Borland, David Gotz:
An Empirical Study of Counterfactual Visualization to Support Visual Causal Inference. CoRR abs/2401.08822 (2024)
[i7]
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  - journals/corr/abs-2408-16077
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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]
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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]
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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]
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  - journals/tvcg/KaulBCG22
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Smiti Kaul, David Borland, Nan Cao, David Gotz:
Improving Visualization Interpretation Using Counterfactuals. IEEE Trans. Vis. Comput. Graph. 28(1): 998-1008 (2022)
[c16]
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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]
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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]
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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]
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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]
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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]
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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]
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  - conf/vahc/BorlandBFPXCBG21
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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]
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  - journals/corr/abs-2107-10309
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Smiti Kaul, David Borland, Nan Cao, David Gotz:
Improving Visualization Interpretation Using Counterfactuals. CoRR abs/2107.10309 (2021)
[i4]
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  - journals/corr/abs-2108-11476
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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]
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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]
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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]
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David Gotz, Jonathan Zhang, Smiti Kaul, Georgiy Bobashev, David Borland:
Visual Analytics to Combat Selection Bias in Retrospective EHR Data Analyses. AMIA 2020
[c10]
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  - conf/vr/QiBWJMP20
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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]
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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]
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  - journals/corr/abs-2007-14964
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David Borland, Jonathan Zhang, Smiti Kaul, David Gotz:
Selection Bias-Corrected Visualization via Dynamic Reweighting. CoRR abs/2007.14964 (2020)

2010 – 2019

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2019
[j13]
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  - journals/aci/BorlandCS19
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David Borland, Laura Christopherson, Charles Schmitt:
Ontology-Based Interactive Visualization of Patient-Generated Research Questions. Appl. Clin. Inform. 10(03): 377-386 (2019)
[j12]
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David Gotz, Wenyuan Wang, Annie T. Chen, David Borland:
Visualization model validation via inline replication. Inf. Vis. 18(4) (2019)
[j11]
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  - journals/jamia/WuCMLBBCDHKKKNP19
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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]
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  - conf/vahc/ZhangBWSG19
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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]
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  - journals/corr/abs-1906-07617
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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]
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  - journals/corr/abs-1906-07625
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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]
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David Borland, Wenyuan Wang, David Gotz:
Contextual Visualization. IEEE Computer Graphics and Applications 38(6): 17-23 (2018)
2016
[j9]
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  - journals/cga/GotzB16
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David Gotz, David Borland:
Data-Driven Healthcare: Challenges and Opportunities for Interactive Visualization. IEEE Computer Graphics and Applications 36(3): 90-96 (2016)
[c7]
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  - conf/chiplay/MinogueBRC16
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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]
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  - journals/cmig/VicoryCTBMWN15
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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]
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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]
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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]
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  - conf/chiplay/ChenBRGM14
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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]
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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]
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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]
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David Borland:
Integrating head and full-body tracking for embodiment in virtual characters. VR 2013: 81-82
2011
[j4]
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David Borland, Alan Huber:
Collaboration-Specific Color-Map Design. IEEE Computer Graphics and Applications 31(4): 7-11 (2011)
[j3]
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David Borland:
Ambient Occlusion Opacity Mapping for Visualization of Internal Molecular Structure. J. WSCG 19(1): 17-24 (2011)
2010
[j2]
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  - journals/presence/TaylorJVWBMSW10
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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]
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Marc Niethammer, David Borland, J. S. Marron, John T. Woosley, Nancy E. Thomas:
Appearance Normalization of Histology Slides. MLMI 2010: 58-66

2000 – 2009

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2009
[c2]
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  - conf/isbi/MacenkoNMBWGST09
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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]
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David Borland, Russell M. Taylor II:
Rainbow Color Map (Still) Considered Harmful. IEEE Computer Graphics and Applications 27(2): 14-17 (2007)
2006
[c1]
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  - conf/vda/BorlandCFT06
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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]
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  - books/el/05/TaylorBBFJJMPQSSSSWWWVGHWR05
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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

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