Keegan Quigley

According to our database, Keegan Quigley authored at least 6 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Higher-Order Equivariant Neural Networks for Charge Density Prediction in Materials.

Teddy Koker, Keegan Quigley, Eric Taw, Kevin Tibbetts, Lin Li

CoRR, 2023

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

2022

Graph Contrastive Learning for Materials.

Teddy Koker, Keegan Quigley, Will Spaeth, Nathan C. Frey, Lin Li

CoRR, 2022

Developing Modular Autonomous Capabilities for sUAS Operations.

Keegan Quigley, Virginia Goodwin, Luis Alvarez, Justin Yao, Yousef Salaman Maclara

CoRR, 2022

RadTex: Learning Efficient Radiograph Representations from Text Reports.

Keegan Quigley, Miriam Cha, Ruizhi Liao, Geeticka Chauhan, Steven Horng, Seth J. Berkowitz, Polina Golland

Proceedings of the Resource-Efficient Medical Image Analysis - First MICCAI Workshop, 2022

2021

Multimodal Representation Learning via Maximization of Local Mutual Information.

Ruizhi Liao, Daniel Moyer, Miriam Cha, Keegan Quigley, Seth J. Berkowitz, Steven Horng, Polina Golland, William M. Wells III

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021