David Borland - RankMe

53 papers A* 1B 1Misc 4Journal 34Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Contextualization or Rationalization? The Effect of Causal Priors on Data Visualization Interpretation. CoRR Arran Zeyu Wang, David Borland, Estella Calcaterra, David Gotz
2025	J	`jnl`	A framework to improve causal inferences from visualizations using counterfactual operators. Inf. Vis. Arran Zeyu Wang, David Borland, David Gotz
2025	J	`jnl`	Beyond Correlation: Incorporating Counterfactual Guidance to Better Support Exploratory Visual Analysis. IEEE Trans. Vis. Comput. Graph. Arran Zeyu Wang, David Borland, David Gotz
2025	J	`jnl`	Causal Priors and Their Influence on Judgements of Causality in Visualized Data. IEEE Trans. Vis. Comput. Graph. Arran Zeyu Wang, David Borland, Tabitha C. Peck, Wenyuan Wang, David Gotz
2025	J	`jnl`	Visual Analytics for Causal Reasoning from Real-World Health Data. CoRR Arran Zeyu Wang, David Borland, David Gotz
2024	J	`jnl`	An Empirical Study of Counterfactual Visualization to Support Visual Causal Inference. CoRR Arran Zeyu Wang, David Borland, David Gotz
2024	J	`jnl`	An empirical study of counterfactual visualization to support visual causal inference. Inf. Vis. Arran Zeyu Wang, David Borland, David Gotz
2024	J	`jnl`	Beyond Correlation: Incorporating Counterfactual Guidance to Better Support Exploratory Visual Analysis. CoRR Arran Zeyu Wang, David Borland, David Gotz
2024	J	`jnl`	Causal Priors and Their Influence on Judgements of Causality in Visualized Data. CoRR Arran Zeyu Wang, David Borland, Tabitha C. Peck, Wenyuan Wang, David Gotz
2024	J	`jnl`	Using Counterfactuals to Improve Causal Inferences From Visualizations. IEEE Computer Graphics and Applications David Borland, Arran Zeyu Wang, David Gotz
2024	J	`jnl`	Using Counterfactuals to Improve Causal Inferences from Visualizations. CoRR David Borland, Arran Zeyu Wang, David Gotz
2023	—	`conf`	High Throughput Deep Model of 3D Nucleus Instance Segmentation by Stereo Stitching Contextual Gaps. ISBI Ziquan Wei, Tingting Dan, Jiaqi Ding, Carolyn M. McCormick, Felix A. Kyere, Minjeong Kim, David Borland, Jason L. Stein, Guorong Wu
2022	—	`conf`	Cell Counting with Inverse Distance Kernel and Self-supervised Learning. MOVI@MICCAI Yue Guo, David Borland, Carolyn M. McCormick, Jason L. Stein, Guorong Wu, Ashok Kumar Krishnamurthy
2022	J	`jnl`	Improving Visualization Interpretation Using Counterfactuals. IEEE Trans. Vis. Comput. Graph. Smiti Kaul, David Borland, Nan Cao, David Gotz
2021	—	`conf`	3D Nucleus Instance Segmentation for Whole-Brain Microscopy Images. IPMI Junbo Ma, Oleh Krupa, Madison Rose Glass, Carolyn M. McCormick, David Borland, Minjeong Kim, Jason L. Stein, Guorong Wu
2021	—	`conf`	AI Tool with Active Learning for Detection of Rural Roadside Safety Features. IEEE BigData Hong Yi, Chris Bizon, David Borland, Matthew Watson, Matthew Satusky, Robert Rittmuller, Randa Radwan, Raghavan Srinivasan, Ashok K. Krishnamurthy
2021	—	`conf`	Enabling Longitudinal Exploratory Analysis of Clinical COVID Data. VAHC David Borland, Irena Brain, Karamarie Fecho, Emily R. Pfaff, Hao Xu, James Champion, Chris Bizon, David Gotz
2021	J	`jnl`	Enabling Longitudinal Exploratory Analysis of Clinical COVID Data. CoRR David Borland, Irena Brain, Karamarie Fecho, Emily R. Pfaff, Hao Xu, James Champion, Chris Bizon, David Gotz
2021	J	`jnl`	Improving Visualization Interpretation Using Counterfactuals. CoRR Smiti Kaul, David Borland, Nan Cao, David Gotz
2021	J	`jnl`	Segmentor: a tool for manual refinement of 3D microscopy annotations. BMC Bioinform. 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
2021	J	`jnl`	Selection-Bias-Corrected Visualization via Dynamic Reweighting. IEEE Trans. Vis. Comput. Graph. David Borland, Jonathan Zhang, Smiti Kaul, David Gotz
2021	B	`conf`	The Impact of Prior Knowledge on the Effectiveness of Haptic and Visual Modalities for Teaching Forces. ICMI Kern Qi, David Borland, Emily Brunsen, James Minogue, Tabitha C. Peck
2020	—	`conf`	Augmenting Physics Education with Haptic and Visual Feedback. VR Workshops Kern Qi, David Borland, Niall L. Williams, Emily Jackson, James Minogue, Tabitha C. Peck
2020	J	`jnl`	Selection Bias Tracking and Detailed Subset Comparison for High-Dimensional Data. IEEE Trans. Vis. Comput. Graph. David Borland, Wenyuan Wang, Jonathan Zhang, Joshua Shrestha, David Gotz
2020	J	`jnl`	Selection Bias-Corrected Visualization via Dynamic Reweighting. CoRR David Borland, Jonathan Zhang, Smiti Kaul, David Gotz
2020	—	`conf`	The Impact of Haptic and Visual Feedback on Teaching. VR Workshops Kern Qi, David Borland, Emily Jackson, Niall L. Williams, James Minogue, Tabitha C. Peck
2020	J	`jnl`	Visual Analysis of High-Dimensional Event Sequence Data via Dynamic Hierarchical Aggregation. IEEE Trans. Vis. Comput. Graph. David Gotz, Jonathan Zhang, Wenyuan Wang, Joshua Shrestha, David Borland
2020	Misc	`conf`	Visual Analytics to Combat Selection Bias in Retrospective EHR Data Analyses. AMIA David Gotz, Jonathan Zhang, Smiti Kaul, Georgiy Bobashev, David Borland
2019	—	`conf`	Dynamic Hierarchical Aggregation, Selection Bias Tracking, and Detailed Subset Comparison for High-Dimensional Event Sequence Data. VAHC Jonathan Zhang, David Borland, Wenyuan Wang, Joshua Shrestha, David Gotz
2019	J	`jnl`	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. 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
2019	J	`jnl`	Ontology-Based Interactive Visualization of Patient-Generated Research Questions. Appl. Clin. Inform. David Borland, Laura Christopherson, Charles Schmitt
2019	J	`jnl`	Selection Bias Tracking and Detailed Subset Comparison for High-Dimensional Data. CoRR David Borland, Wenyuan Wang, Jonathan Zhang, Joshua Shrestha, David Gotz
2019	J	`jnl`	Visual Analysis of High-Dimensional Event Sequence Data via Dynamic Hierarchical Aggregation. CoRR David Gotz, Jonathan Zhang, Wenyuan Wang, Joshua Shrestha, David Borland
2019	J	`jnl`	Visualization model validation via inline replication. Inf. Vis. David Gotz, Wenyuan Wang, Annie T. Chen, David Borland
2018	J	`jnl`	Contextual Visualization. IEEE Computer Graphics and Applications David Borland, Wenyuan Wang, David Gotz
2016	J	`jnl`	Data-Driven Healthcare: Challenges and Opportunities for Interactive Visualization. IEEE Computer Graphics and Applications David Gotz, David Borland
2016	—	`conf`	Tracing the Development of a Haptically-enhanced Simulation for Teaching Phase Change. CHI PLAY (Companion) James Minogue, David Borland, Marc Russo, Shengyen Tony Chen
2015	J	`jnl`	Appearance normalization of histology slides. Comput. Medical Imaging Graph. Jared Vicory, Heather D. Couture, Nancy E. Thomas, David Borland, J. S. Marron, John T. Woosley, Marc Niethammer
2015	J	`jnl`	Innovative information visualization of electronic health record data: a systematic review. J. Am. Medical Informatics Assoc. Vivian West, David Borland, W. Ed Hammond
2014	Misc	`conf`	ASPECT sinking and floating: an interactive playable simulation for teaching buoyancy concepts. CHI PLAY Shengyen Tony Chen, David Borland, Marc Russo, Ryan Grady, James Minogue
2014	Misc	`conf`	ASPECT: sinking and floating haptics for elementary school students. CHI PLAY Shengyen Tony Chen, David Borland, Marc Russo, Ryan Grady, James Minogue
2014	J	`jnl`	How to Build an Embodiment Lab: Achieving Body Representation Illusions in Virtual Reality. Frontiers Robotics AI 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
2013	J	`jnl`	An Evaluation of Self-Avatar Eye Movement for Virtual Embodiment. IEEE Trans. Vis. Comput. Graph. David Borland, Tabitha C. Peck, Mel Slater
2013	A*	`conf`	Integrating head and full-body tracking for embodiment in virtual characters. VR David Borland
2011	J	`jnl`	Ambient Occlusion Opacity Mapping for Visualization of Internal Molecular Structure. J. WSCG David Borland
2011	J	`jnl`	Collaboration-Specific Color-Map Design. IEEE Computer Graphics and Applications David Borland, Alan Huber
2010	—	`conf`	Appearance Normalization of Histology Slides. MLMI Marc Niethammer, David Borland, J. S. Marron, John T. Woosley, Nancy E. Thomas
2010	J	`jnl`	Lessons about Virtual Environment Software Systems from 20 Years of VE Building. Presence Teleoperators Virtual Environ. Russell M. Taylor II, Jason Jerald, Chris VanderKnyff, Jeremy D. Wendt, David Borland, David Marshburn, William R. Sherman, Mary C. Whitton
2009	—	`conf`	A Method for Normalizing Histology Slides for Quantitative Analysis. ISBI Marc Macenko, Marc Niethammer, J. S. Marron, David Borland, John T. Woosley, Xiaojun Guan, Charles Schmitt, Nancy E. Thomas
2007	—	`—`	Flexible occlusion rendering for improved views of three-dimensional medical images. David Borland
2007	J	`jnl`	Rainbow Color Map (Still) Considered Harmful. IEEE Computer Graphics and Applications David Borland, Russell M. Taylor II
2006	Misc	`conf`	Volumetric depth peeling for medical image display. Visualization and Data Analysis David Borland, John P. Clarke, Julia Fielding, Russell M. Taylor II
2005	—	`ch.`	Visualization and Natural Control Systems for Microscopy. The Visualization Handbook 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