Visualization and Natural Control Systems for Microscopy. - 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; et al. (The Visualization Handbook, 2005)

Volumetric depth peeling for medical image display. - David Borland; John-Paul Clarke; Julia Fielding; Russell M. Taylor II (Visualization and Data Analysis, 2006)

Rainbow Color Map (Still) Considered Harmful. - David Borland; Russell M. Taylor II (IEEE Computer Graphics and Applications, 2007)

Flexible occlusion rendering for improved views of three-dimensional medical images. - David Borland (2007)

A Method for Normalizing Histology Slides for Quantitative Analysis. - Marc Macenko; Marc Niethammer; J. S. Marron; David Borland; John T. Woosley; Xiaojun Guan; Charles Schmitt; Nancy E. Thomas (ISBI, 2009)

Appearance Normalization of Histology Slides. - Marc Niethammer; David Borland; J. S. Marron; John T. Woosley; Nancy E. Thomas (MLMI, 2010)

Lessons about Virtual Environment Software Systems from 20 Years of VE Building. - Russell M. Taylor II; Jason Jerald; Chris VanderKnyff; Jeremy D. Wendt; David Borland; David Marshburn; William R. Sherman; Mary C. Whitton (Presence Teleoperators Virtual Environ., 2010)

Collaboration-Specific Color-Map Design. - David Borland; Alan Huber (IEEE Computer Graphics and Applications, 2011)

Ambient Occlusion Opacity Mapping for Visualization of Internal Molecular Structure. - David Borland (J. WSCG, 2011)

Integrating head and full-body tracking for embodiment in virtual characters. - David Borland (VR, 2013)

An Evaluation of Self-Avatar Eye Movement for Virtual Embodiment. - David Borland; Tabitha C. Peck; Mel Slater (IEEE Trans. Vis. Comput. Graph., 2013)

ASPECT sinking and floating: an interactive playable simulation for teaching buoyancy concepts. - Shengyen Tony Chen; David Borland; Marc Russo; Ryan Grady; James Minogue (CHI PLAY, 2014)

ASPECT: sinking and floating haptics for elementary school students. - Shengyen Tony Chen; David Borland; Marc Russo; Ryan Grady; James Minogue (CHI PLAY, 2014)

How to Build an Embodiment Lab: Achieving Body Representation Illusions in Virtual Reality. - 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 (Frontiers Robotics AI, 2014)

Appearance normalization of histology slides. - Jared Vicory; Heather D. Couture; Nancy E. Thomas; David Borland; J. S. Marron; John T. Woosley; Marc Niethammer (Comput. Medical Imaging Graph., 2015)

Innovative information visualization of electronic health record data: a systematic review. - Vivian West; David Borland; W. Ed Hammond (J. Am. Medical Informatics Assoc., 2015)

Tracing the Development of a Haptically-enhanced Simulation for Teaching Phase Change. - James Minogue; David Borland; Marc Russo; Shengyen Tony Chen (CHI PLAY (Companion), 2016)

Data-Driven Healthcare: Challenges and Opportunities for Interactive Visualization. - David Gotz; David Borland (IEEE Computer Graphics and Applications, 2016)

Contextual Visualization. - David Borland; Wenyuan Wang; David Gotz (IEEE Computer Graphics and Applications, 2018)

Dynamic Hierarchical Aggregation, Selection Bias Tracking, and Detailed Subset Comparison for High-Dimensional Event Sequence Data. - Jonathan Zhang; David Borland; Wenyuan Wang; Joshua Shrestha; David Gotz (VAHC, 2019)

Ontology-Based Interactive Visualization of Patient-Generated Research Questions. - David Borland; Laura Christopherson; Charles Schmitt (Appl. Clin. Inform., 2019)

Visualization model validation via inline replication. - David Gotz; Wenyuan Wang; Annie T. Chen; David Borland (Inf. Vis., 2019)

Evaluating visual analytics for health informatics applications: a systematic review from the American Medical Informatics Association Visual Analytics Working Group Task Force on Evaluation. - 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 008; et al. (J. Am. Medical Informatics Assoc., 2019)

Visual Analytics to Combat Selection Bias in Retrospective EHR Data Analyses. - David Gotz; Jonathan Zhang; Smiti Kaul; Georgiy Bobashev; David Borland (AMIA, 2020)

The Impact of Haptic and Visual Feedback on Teaching. - Kern Qi; David Borland; Emily Jackson; Niall L. Williams; James Minogue; Tabitha C. Peck (VR Workshops, 2020)

Augmenting Physics Education with Haptic and Visual Feedback. - Kern Qi; David Borland; Niall L. Williams; Emily Jackson; James Minogue; Tabitha C. Peck (VR Workshops, 2020)

Selection Bias Tracking and Detailed Subset Comparison for High-Dimensional Data. - David Borland; Wenyuan Wang; Jonathan Zhang; Joshua Shrestha; David Gotz (IEEE Trans. Vis. Comput. Graph., 2020)

Visual Analysis of High-Dimensional Event Sequence Data via Dynamic Hierarchical Aggregation. - David Gotz; Jonathan Zhang; Wenyuan Wang; Joshua Shrestha; David Borland (IEEE Trans. Vis. Comput. Graph., 2020)

AI Tool with Active Learning for Detection of Rural Roadside Safety Features. - Hong Yi; Chris Bizon; David Borland; Matthew Watson; Matthew Satusky; Robert Rittmuller; Randa Radwan; Raghavan Srinivasan; Ashok K. Krishnamurthy 001 (IEEE BigData, 2021)

The Impact of Prior Knowledge on the Effectiveness of Haptic and Visual Modalities for Teaching Forces. - Kern Qi; David Borland; Emily Brunsen; James Minogue; Tabitha C. Peck (ICMI, 2021)

3D Nucleus Instance Segmentation for Whole-Brain Microscopy Images. - Junbo Ma; Oleh Krupa; Madison Rose Glass; Carolyn M. McCormick; David Borland; Minjeong Kim; Jason L. Stein; Guorong Wu 001 (IPMI, 2021)

Enabling Longitudinal Exploratory Analysis of Clinical COVID Data. - David Borland; Irena Brain; Karamarie Fecho; Emily R. Pfaff; Hao Xu 006; James Champion; Chris Bizon; David Gotz (VAHC, 2021)

Segmentor: a tool for manual refinement of 3D microscopy annotations. - 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 001; Jason L. Stein (BMC Bioinform., 2021)

Selection-Bias-Corrected Visualization via Dynamic Reweighting. - David Borland; Jonathan Zhang; Smiti Kaul; David Gotz (IEEE Trans. Vis. Comput. Graph., 2021)

Cell Counting with Inverse Distance Kernel and Self-supervised Learning. - Yue Guo 001; David Borland; Carolyn M. McCormick; Jason L. Stein; Guorong Wu 001; Ashok Kumar Krishnamurthy 001 (MOVI@MICCAI, 2022)

Improving Visualization Interpretation Using Counterfactuals. - Smiti Kaul; David Borland; Nan Cao 001; David Gotz (IEEE Trans. Vis. Comput. Graph., 2022)

High Throughput Deep Model of 3D Nucleus Instance Segmentation by Stereo Stitching Contextual Gaps. - Ziquan Wei; Tingting Dan; Jiaqi Ding; Carolyn M. McCormick; Felix A. Kyere; Minjeong Kim; David Borland; Jason L. Stein; Guorong Wu 001 (ISBI, 2023)

Using Counterfactuals to Improve Causal Inferences From Visualizations. - David Borland; Arran Zeyu Wang; David Gotz (IEEE Computer Graphics and Applications, 2024)

An empirical study of counterfactual visualization to support visual causal inference. - Arran Zeyu Wang; David Borland; David Gotz (Inf. Vis., 2024)

A framework to improve causal inferences from visualizations using counterfactual operators. - Arran Zeyu Wang; David Borland; David Gotz (Inf. Vis., 2025)

Beyond Correlation: Incorporating Counterfactual Guidance to Better Support Exploratory Visual Analysis. - Arran Zeyu Wang; David Borland; David Gotz (IEEE Trans. Vis. Comput. Graph., 2025)

Causal Priors and Their Influence on Judgements of Causality in Visualized Data. - Arran Zeyu Wang; David Borland; Tabitha C. Peck; Wenyuan Wang; David Gotz (IEEE Trans. Vis. Comput. Graph., 2025)