Subathra Adithan

According to our database, Subathra Adithan authored at least 7 papers between 2023 and 2025.

Collaborative distances:

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

2025

SMMILE: An Expert-Driven Benchmark for Multimodal Medical In-Context Learning.

Melanie Rieff, Maya Varma, Ossian Rabow, Subathra Adithan, Julie Kim, Ken Chang, Hannah Lee, Nidhi Rohatgi, Christian Bluethgen, Mohamed S. Muneer, Jean-Benoit Delbrouck, Michael Moor

CoRR, June, 2025

2024

The Impact of AI Assistance on Radiology Reporting: A Pilot Study Using Simulated AI Draft Reports.

Julián Nicolás Acosta, Siddhant Dogra, Subathra Adithan, Kay Wu, Michael Moritz, Stephen Kwak, Pranav Rajpurkar

CoRR, 2024

ReXErr: Synthesizing Clinically Meaningful Errors in Diagnostic Radiology Reports.

Vishwanatha M. Rao, Serena Zhang, Julián Nicolás Acosta, Subathra Adithan, Pranav Rajpurkar

CoRR, 2024

A Generalist Learner for Multifaceted Medical Image Interpretation.

Hong-Yu Zhou, Subathra Adithan, Julián Nicolás Acosta, Eric J. Topol, Pranav Rajpurkar

CoRR, 2024

Direct Preference Optimization for Suppressing Hallucinated Prior Exams in Radiology Report Generation.

Oishi Banerjee, Hong-Yu Zhou, Kay Wu, Subathra Adithan, Stephen Kwak, Pranav Rajpurkar

Proceedings of the Machine Learning for Healthcare Conference, 2024

2023

Multimodal Image-Text Matching Improves Retrieval-based Chest X-Ray Report Generation.

Jaehwan Jeong, Katherine Tian, Andrew Li, Sina Hartung, Subathra Adithan, Fardad Behzadi, Juan Calle, David Osayande, Michael Pohlen, Pranav Rajpurkar

Proceedings of the Medical Imaging with Deep Learning, 2023

Style-Aware Radiology Report Generation with RadGraph and Few-Shot Prompting.

Benjamin Yan, Ruochen Liu, David E. Kuo, Subathra Adithan, Eduardo Pontes Reis, Stephen Kwak, Vasantha Kumar Venugopal, Chloe O'Connell, Agustina Saenz, Pranav Rajpurkar, Michael Moor

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023