Pritam Mukherjee

Assistant Professor, Radiology, St. Jude Children's Research Hospital

Joined

January 2023

Names

Pritam Mukherjee (Preferred)

Emails

****@nih.gov (Confirmed)

****@stjude.org (Confirmed)

Personal Links

Google Scholar

DBLP

ORCID

Career & Education History

Assistant Professor

Radiology , St. Jude Children's Research Hospital (stjude.org)

2025 – Present

Researcher

Radiology , National Institutes of Health Clinical Center (nih.gov)

2021 – 2025

Postdoc

Department of Medicine, Stanford University (stanford.edu)

2017 – 2021

PhD student

Electrical engineering , University of Maryland, College Park (umd.edu)

2010 – 2016

Advisors, Relations & Conflicts

Postdoc Advisor

Olivier Gevaert

2017 – 2021

Expertise

deep learning

Present

medical image analysis

Present

Publications

[Short] Downstream Effects of Translation Scale with Language Difficulty
Aditya V. Kulkarni, Dharmam Savani, Ammar Ahmed Pallikonda Latheef, Pritam Mukherjee, Jacob M Luber, Paul Yi
- ICLR 2026 Workshop DATA-FM
- Readers: Everyone
Anatomical Location-Guided Deep Learning-Based Genetic Cluster Identification of Pheochromocytomas and Paragangliomas from CT Images
Bikash Santra, Abhishek Jha, Pritam Mukherjee, Mayank Patel, Karel Pacak, Ronald M. Summers
- Published: 01 Jan 2023, Last Modified: 10 Nov 2023
- AMAI@MICCAI 2023
- Readers: Everyone
Utilizing Longitudinal Chest X-Rays and Reports to Pre-fill Radiology Reports
Qingqing Zhu, Tejas Sudharshan Mathai, Pritam Mukherjee, Yifan Peng, Ronald M. Summers, Zhiyong Lu
- Published: 01 Jan 2023, Last Modified: 10 Nov 2023
- MICCAI (5) 2023
- Readers: Everyone
Utilizing Longitudinal Chest X-Rays and Reports to Pre-Fill Radiology Reports
Qingqing Zhu, Tejas Sudharshan Mathai, Pritam Mukherjee, Yifan Peng, Ronald M. Summers, Zhiyong Lu
- Published: 01 Jan 2023, Last Modified: 10 Nov 2023
- CoRR 2023
- Readers: Everyone
Topological data analysis of thoracic radiographic images shows improved radiomics-based lung tumor histology prediction
Robin Vandaele, Pritam Mukherjee, Heather Marie Selby, Rajesh Pravin Shah, Olivier Gevaert
- Published: 01 Jan 2023, Last Modified: 14 Nov 2023
- Patterns 2023
- Readers: Everyone
Disparities in Dermatology AI Performance on a Diverse, Curated Clinical Image Set
Roxana Daneshjou, Kailas Vodrahalli, Roberto A. Novoa, Melissa Jenkins, Weixin Liang, Veronica Rotemberg, Justin Ko, Susan M. Swetter, Elizabeth E. Bailey, Olivier Gevaert, Pritam Mukherjee, Michelle Phung, Kiana Yekrang, Bradley Fong, Rachna Sahasrabudhe, Johan A. C. Allerup, Utako Okata-Karigane, James Zou, Albert Chiou
- 2022 (modified: 29 May 2022)
- CoRR 2022
- Readers: Everyone
Automated Assessment of Renal Calculi in Serial Computed Tomography Scans
Pritam Mukherjee, Sungwon Lee, Perry J. Pickhardt, Ronald M. Summers
- Published: 01 Jan 2022, Last Modified: 10 Nov 2023
- AMAI@MICCAI 2022
- Readers: Everyone
Disparities in Dermatology AI: Assessments Using Diverse Clinical Images
Roxana Daneshjou, Kailas Vodrahalli, Weixin Liang, Roberto A. Novoa, Melissa Jenkins, Veronica Rotemberg, Justin Ko, Susan M. Swetter, Elizabeth E. Bailey, Olivier Gevaert, Pritam Mukherjee, Michelle Phung, Kiana Yekrang, Bradley Fong, Rachna Sahasrabudhe, James Zou, Albert Chiou
- 2021 (modified: 29 May 2022)
- CoRR 2021
- Readers: Everyone
Tracking the Evolution of COVID-19 via Temporal Comorbidity Analysis from Multi-Modal Data
Sutanay Choudhury, Khushbu Agarwal, Colby Ham, Pritam Mukherjee, Siyi Tang, Sindhu Tipirneni, Veysel Kocaman, Suzanne Tamang, Robert Rallo, Chandan K. Reddy
- 2021 (modified: 18 Apr 2023)
- AMIA 2021
- Readers: Everyone
Structuring clinical text with AI: Old versus new natural language processing techniques evaluated on eight common cardiovascular diseases
Xianghao Zhan, Marie Humbert-Droz, Pritam Mukherjee, Olivier Gevaert
- Published: 01 Jan 2021, Last Modified: 14 Nov 2023
- Patterns 2021
- Readers: Everyone

View all 39 publications

Co-Authors

View all 70 co-authors