Networked Virtual Environments. - Brian S. Blau; Charles E. Hughes; J. Michael Moshell; Curtis Lisle (SI3D, 1992)

Dynamic Terrain. - J. Michael Moshell; Brian S. Blau; Xin Li; Curtis Lisle (Simul., 1994)

Research in Virtual Environments and Simulation at the Institute for Simulation and Training of the University of Central Florida. - J. Michael Moshell; Art Cortes; Tom Clarke; Kimberly C. Abel; Mark Kilby; Curtis Lisle; Daniel P. Mapes; Jacquelyn Ford Morie (Presence Teleoperators Virtual Environ., 1995)

PM/Parallel: A Framework for Distributed Physical Simulation Using the Bulk Synchronous Parallel Computing Model. - Curtis Lisle; Rebecca J. Parsons (PDPTA, 1997)

Recursive, object-oriented structures for molecular modeling. - Curtis Lisle; Rebecca J. Parsons (SAC, 1998)

The design and applications of a recursive molecular modeling framework. - Curtis Lisle; Rebecca J. Parsons (IEEE Trans. Inf. Technol. Biomed., 2000)

New Applications of the Verdict Library for Standardized Mesh Verification Pre, Post, and End-to-End Processing. - Philippe P. Pébay; David C. Thompson 001; Jason Shepherd; Patrick M. Knupp; Curtis Lisle; Vincent Magnotta; Nicole M. Grosland (IMR, 2007)

IA-FEMesh: An open-source, interactive, multiblock approach to anatomic finite element model development. - Nicole M. Grosland; Kiran H. Shivanna; Vincent Magnotta; Nicole A. Kallemeyn; Nicole A. DeVries; Srinivas C. Tadepalli; Curtis Lisle (Comput. Methods Programs Biomed., 2009)

Quick2Insight: A user-friendly framework for interactive rendering of biological image volumes. - Yanling Liu; Curtis Lisle; Jack R. Collins (BioVis, 2011)

Integration of Deep Learning and Graph Theory for Analyzing Histopathology Whole-slide Images. - Hyun Jung; Christian Suloway; Tianyi Miao; Elijah F. Edmondson; David R. Morcock; Claire Deleage; Yanling Liu; Jack R. Collins; Curtis Lisle (AIPR, 2018)

Enhancing organ at risk segmentation with improved deep neural networks. - Ilkin Isler; Curtis Lisle; Justin Rineer; Patrick Kelly; Damla Turgut; Jacob Ricci; Ulas Bagci (Image Processing, 2022)

Self-Supervised Learning for Organs At Risk and Tumor Segmentation with Uncertainty Quantification. - Ilkin Isler; Debesh Jha; Curtis Lisle; Justin Rineer; Patrick Kelly; Bulent Aydogan; Mohamed Abazeed; Damla Turgut; Ulas Bagci (CoRR, 2023)

Fine-Tuning Foundation Models with Federated Learning for Privacy Preserving Medical Time Series Forecasting. - Mahad Ali; Curtis Lisle; Patrick W. Moore; Tammer Barkouki; Brian J. Kirkwood; Laura J. Brattain (CoRR, 2025)

Uncertainty-Guided Coarse-to-Fine Tumor Segmentation with Anatomy-Aware Post-Processing. - Ilkin Sevgi Isler; David Mohaisen; Curtis Lisle; Damla Turgut; Ulas Bagci (CoRR, 2025)