The VU-DBS project: integrated and computer-assisted planning, intra-operative placement, and post-operative programming of deep-brain stimulators. - Benoit M. Dawant; Pierre-François D'Haese; Srivatsan Pallavaram; Rui Li 012; Hong Yu 002; John Spooner; Thomas Davis; Chris Kao; Peter E. Konrad (Image-Guided Procedures, 2007)

Small-scale UAS for geoinformatics applications on an island campus. - Michael J. Starek; Thomas Davis; Dan Prouty; Jacob Berryhill (UPINLBS, 2014)

Collecting, Monitoring, and Analyzing Facility and Systems Data at the National Energy Research Scientific Computing Center. - Elizabeth Bautista; Melissa Romanus; Thomas Davis; Cary Whitney; Theodore Kubaska (ICPP Workshops, 2019)

Predicting Motor Responsiveness to Deep Brain Stimulation with Machine Learning. - Kevin J. Krause; Fenna Phibbs; Thomas Davis; Daniel Fabbri (AMIA, 2021)

EEG Context Fusion for AI-Based Object Detection and Drone Navigation in Situationally Aware Brain-Computer Interfaces. - T. Warren de Wit; Vineetha Menon; Nathan L. Tenhundfeld; Thomas Davis (ICTAI, 2023)

Towards a Data Provenance Collection and Visualization Framework for Monitoring and Analyzing HPC Environments. - Nitin Sukhija; Elizabeth Bautista; Adam Schultz; Cary Whitney; Thomas Davis (MEDES, 2023)

Benchmarking Conventional and Learned Video Codecs with a Low-Delay Configuration. - Siyue Teng; Yuxuan Jiang; Ge Gao; Fan Zhang 017; Thomas Davis; Zoe Liu; David Bull 001 (VCIP, 2024)

Exploratory digital outcome measures of motor sign progression in Parkinson's disease patients treated with prasinezumab. - Kirsten I. Taylor; Florian Lipsmeier; Marzia Antonella Scelsi; Ekaterina Volkova-Volkmar; Daria Rukina; Werner Popp; Stefan Lambrecht; Judith Anzures-Cabrera; David Summers; Markus Abt; Annabelle Monnet; Timothy Kilchenmann; et al. (npj Digit. Medicine, 2025)