Publication Scaling medical imaging report generation with multimodal reinforcement learning Flora Liu, Sheng Zhang, Guanghui Qin, Yu Gu, Ying Jin, Sam Preston, Yanbo Xu, Wen-wai Yim, Sid Kiblawi, Tim Ossowski, Tristan Naumann, Mu Wei, Hoifung Poon January 2026
Publication NOVA: An Agentic Framework for Automated Histopathology Analysis and Discovery Anurag Vaidya, Felix Meissen, Daniel Coelho de Castro, Shruthi Bannur, Tristan Lazard, Drew F. K. Williamson, Faisal Mahmood, Javier Alvarez-Valle, Stephanie Hyland, Kenza Bouzid Machine Learning for Health Symposium 2025 | December 2025
Publication Closing the Performance Gap Between AI and Radiologists in Chest X-Ray Reporting Harshita Sharma, Maxwell C. Reynolds, Valentina Salvatelli, Anne-Marie G. Sykes, Kelly K. Horst, Anton Schwaighofer, Maximilian Ilse, Olesya Melnichenko, Sam Bond-Taylor, Fernando Pérez-García, Vamshi K. Mugu, Alex Chan, Ceylan Colak, Shelby A. Swartz, Motassem Nashawaty, Austin J. Gonzalez, Heather A. Ouellette, B. S. Erdal, Beth A. Schueler, Maria T. Wetscherek, Noel Codella, Mohit Jain, Shruthi Bannur, Kenza Bouzid, Daniel Coelho de Castro, Stephanie Hyland, Panos Korfiatis, Ashish Khandelwal, Javier Alvarez-Valle November 2025 Project
Publication Identifying treatment response subgroups in observational time-to-event data Vincent Jeanselme, Chang Ho Yoon, Fabian Falck, Brian D. M. Tom, Jessica Barrett AHLI Machine Learning for Health (ML4H) Symposium | November 2025
Publication SNRAware: Improved Deep Learning MRI Denoising with Signal-to-Noise Ratio Unit Training and G-factor Map Augmentation Hui Xue, Sarah M. Hooper, Iain Pierce, Rhodri H. Davies, John Stairs, Joseph Naegele, A. Campbell-Washburn, Charlotte Manisty, James C. Moon, T. Treibel, Peter Kellman, Michael Hansen Radiology: Artificial Intelligence | October 2025, Vol 7(6) Project
Publication Data Scaling Laws for Radiology Foundation Models Maximilian Ilse, Harshita Sharma, Anton Schwaighofer, Sam Bond-Taylor, Fernando Pérez-García, Olesya Melnichenko, Anne-Marie G. Sykes, K. Horst, Ashish Khandelwal, Maxwell C. Reynolds, M. Wetscherek, Noel Codella, Javier Alvarez-Valle, Korfiatis Panagiotis, Valentina Salvatelli September 2025
Publication CancerGUIDE: Cancer Guideline Understanding via Internal Disagreement Estimation Alyssa Unell, Noel Codella, Sam Preston, Peniel Argaw, Wen-wai Yim, Zelalem Gero, Cliff Wong, Rajesh Jena, Eric Horvitz, Amanda K. Hall, Ruican Rachel Zhong, Jiachen Li, Shrey Jain, Mu Wei, Matthew P Lungren, Hoifung Poon September 2025
Publication Demo: Healthcare Agent Orchestrator (HAO) for Patient Summarization in Molecular Tumor Boards Matthias Blondeel, Noel Codella, Sam Preston, Hao Qiu, Leonardo Schettini, Frank Tuan, Wen-wai Yim, Smitha Saligrama, Mert Oz, Shrey Jain, Matthew P Lungren, Thomas Osborne September 2025
Publication AURAD: Anatomy-Pathology Unified Radiology Synthesis with Progressive Representations Shuhan Ding, Jingjing Fu, Yu Gu, Naiteek Sangani, Mu Wei, Paul Vozila, Nan Liu, Jiang Bian, Hoifung Poon September 2025
Publication Challenges for Responsible AI Design and Workflow Integration in Healthcare: A Case Study of Automatic Feeding Tube Qualification in Radiology Anja Thieme, Abhijith Rajamohan, Benjamin Cooper, Heather Groombridge, Robert Simister, Barney Wong, Nicholas Woznitza, Mark Ames Pinnock, Maria Teodora Wetscherek, Cecily Morrison, Hannah Richardson (nee Murfet), Fernando Pérez-García, Stephanie Hyland, Shruthi Bannur, Daniel Coelho de Castro, Kenza Bouzid, Anton Schwaighofer, Mercy Ranjit, Harshita Sharma, Matthew P Lungren, Ozan Oktay, Javier Alvarez-Valle, Aditya Nori, Stephen Harris, Joseph Jacob ACM ToCHI | August 2025, Vol 32(2): pp. 1-61 Project
