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Pritam Mukherjee

12PUBLICATIONS
38CO-AUTHORS
Deep learningInteractive narrativeMicroelectromechanical systems (MEMS)Language documentation and descriptionBioinformatic methods development
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Journal

Publications (12)

Sort by Publication Date:
|Feb 27, 2026
Deep Learning-based Detection of Colorectal Liver Metastases: Performance, Robustness, and Clinical Implications.

Pritam Mukherjee

|Aug 12, 2025
One Year On: Assessing Progress of Multimodal Large Language Model Performance on RSNA 2024 Case of the Day Questions.

Benjamin Hou, Pritam Mukherjee, Vivek Batheja

|Apr 22, 2025
MRISegmenter: A Fully Accurate and Robust Automated Multiorgan and Structure Segmentation Tool for T1-weighted Abdominal MRI.

Yan Zhuang, Tejas Sudharshan Mathai, Pritam Mukherjee

|Oct 01, 2024
Evaluation of GPT Large Language Model Performance on RSNA 2023 Case of the Day Questions.

Pritam Mukherjee, Benjamin Hou, Abhinav Suri

|Oct 10, 2023
Feasibility of Using the Privacy-preserving Large Language Model Vicuna for Labeling Radiology Reports.

Pritam Mukherjee, Benjamin Hou, Ricardo B Lanfredi

|Aug 11, 2023
Performance of alternative manual and automated deep learning segmentation techniques for the prediction of benign and malignant lung nodules.

Heather M Selby, Pritam Mukherjee, Christopher Parham

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Frequent Collaborators

4 joint publications

Olivier Gevaert

3 joint publications

Benjamin Hou

3 joint publications

Ronald M Summers

2 joint publications

Yan Zhuang

2 joint publications

Kenneth C Wang

2 joint publications

Abhinav Suri

1 joint publications

Chao Huang

1 joint publications

Roxana Daneshjou

1 joint publications

Kailas Vodrahalli

1 joint publications

Susan M Swetter

Frequent Collaborators

4 joint publications

Olivier Gevaert

3 joint publications

Benjamin Hou

3 joint publications

Ronald M Summers

2 joint publications

Yan Zhuang

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