Rohan Satya Isaac

According to our database, Rohan Satya Isaac authored at least 7 papers between 2023 and 2026.

Collaborative distances:

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

2026

Real-world performance evaluation of a commercial deep learning model for intracranial hemorrhage detection.

Mohammadreza Chavoshi, Aawez Mansuri, Wasif Bala, Beatrice Brown-Mulry, Theodorus Dapamede, Rohan Satya Isaac, Bardia Khosravi, Hanzhou Li, Frank Li, John T. Moon, Chad Robichaux, Dan Cohen-Addad, Ninad V. Salastekar, Judy W. Gichoya, Hari Trivedi

npj Digit. Medicine, 2026

2025

Feature Quality and Adaptability of Medical Foundation Models: A Comparative Evaluation for Radiographic Classification and Segmentation.

Frank Li, Theo Dapamede, Mohammadreza Chavoshi, Young Seok Jeon, Bardia Khosravi, Abdulhameed Dere, Beatrice Brown-Mulry, Rohan Satya Isaac, Aawez Mansuri, Chiratidzo Sanyika, Janice M. Newsome, Saptarshi Purkayastha, Imon Banerjee, Hari Trivedi, Judy Gichoya

CoRR, November, 2025

Evaluating Vision Language Models (VLMs) for Radiology: A Comprehensive Analysis.

Frank Li, Hari Trivedi, Bardia Khosravi, Theo Dapamede, Mohammadreza Chavoshi, Abdulhameed Dere, Rohan Satya Isaac, Aawez Mansuri, Janice M. Newsome, Saptarshi Purkayastha, Judy Gichoya

CoRR, April, 2025

Novel AI-Based Quantification of Breast Arterial Calcification to Predict Cardiovascular Risk.

Theodorus Dapamede, Aisha Urooj, Vedant Joshi, Gabrielle Gershon, Frank Li, Mohammadreza Chavoshi, Beatrice Brown-Mulry, Rohan Satya Isaac, Aawez Mansuri, Chad Robichaux, Chadi Ayoub, Reza Arsanjani, Laurence Sperling, Judy Gichoya, Marly van Assen, Charles W. ONeill, Imon Banerjee, Hari Trivedi

CoRR, March, 2025

Subgroup Performance of a Commercial Digital Breast Tomosynthesis Model for Breast Cancer Detection.

Beatrice Brown-Mulry, Rohan Satya Isaac, Sang Hyup Lee, Ambika Seth, KyungJee Min, Theo Dapamede, Frank Li, Aawez Mansuri, Minjae Woo, Christian Allison Fauria-Robinson, Bhavna Paryani, Judy Wawira Gichoya, Hari Trivedi

CoRR, March, 2025

2024

Measuring Impact of Radiologist-AI Collaboration: Efficiency, Accuracy, and Clinical Impact.

Saptarshi Purkayastha, Rohan Satya Isaac, Amulya Veldandi, Rijul Saxena, Pallavi Singh, Pallavi Vaswani, Elizabeth A. Krupinski, Joshua A. Danish, Judy Wawira Gichoya

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

A General-Purpose AI Assistant Embedded in an Open-Source Radiology Information System.

Saptarshi Purkayastha, Rohan Satya Isaac, Sharon Anthony, Shikhar Shukla, Elizabeth A. Krupinski, Joshua A. Danish, Judy Wawira Gichoya

Proceedings of the Artificial Intelligence in Medicine, 2023