Multimodal Representation Learning via Maximization of Local Mutual Information. - Ruizhi Liao 001; Daniel Moyer; Miriam Cha; Keegan Quigley; Seth J. Berkowitz; Steven Horng; Polina Golland; William M. Wells III (MICCAI (2), 2021)

RadTex: Learning Efficient Radiograph Representations from Text Reports. - Keegan Quigley; Miriam Cha; Ruizhi Liao 001; Geeticka Chauhan; Steven Horng; Seth J. Berkowitz; Polina Golland (REMIA@MICCAI, 2022)

Developing Modular Autonomous Capabilities for sUAS Operations. - Keegan Quigley; Virginia Goodwin; Luis Alvarez; Justin Yao; Yousef Salaman Maclara (CoRR, 2022)

Graph Contrastive Learning for Materials. - Teddy Koker; Keegan Quigley; Will Spaeth; Nathan C. Frey; Lin Li (CoRR, 2022)

Bidirectional Captioning for Clinically Accurate and Interpretable Models. - Keegan Quigley; Miriam Cha; Josh Barua; Geeticka Chauhan; Seth J. Berkowitz; Steven Horng; Polina Golland (CoRR, 2023)

Higher-Order Equivariant Neural Networks for Charge Density Prediction in Materials. - Teddy Koker; Keegan Quigley; Eric Taw; Kevin Tibbetts; Lin Li (CoRR, 2023)