Pritam Mukherjee

According to our database, Pritam Mukherjee authored at least 45 papers between 2010 and 2025.

Collaborative distances:

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

2025

Efficient 2D CT Foundation Model for Contrast Phase Classification.

Benjamin Hou, Tejas Sudharshan Mathai, Pritam Mukherjee, Xinya Wang, Ronald M. Summers, Zhiyong Lu

CoRR, January, 2025

Enhancing chest X-ray datasets with privacy-preserving large language models and multi-type annotations: A data-driven approach for improved classification.

Ricardo Bigolin Lanfredi, Pritam Mukherjee, Ronald M. Summers

Medical Image Anal., 2025

Utilizing domain knowledge to improve the classification of intravenous contrast phase of CT scans.

Liangchen Liu, Jianfei Liu, Bikash Santra, Christopher Parnell, Pritam Mukherjee, Tejas Sudharshan Mathai, Yingying Zhu, Akshaya Anand, Ronald M. Summers

Comput. Medical Imaging Graph., 2025

2024

MRISegmentator-Abdomen: A Fully Automated Multi-Organ and Structure Segmentation Tool for T1-weighted Abdominal MRI.

Yan Zhuang, Tejas Sudharshan Mathai, Pritam Mukherjee, Brandon Khoury, Boah Kim, Benjamin Hou, Nusrat Rabbee, Ronald M. Summers

CoRR, 2024

Decomposing Vision-based LLM Predictions for Auto-Evaluation with GPT-4.

Qingqing Zhu, Benjamin Hou, Tejas Sudharshan Mathai, Pritam Mukherjee, Qiao Jin, Xiuying Chen, Zhizheng Wang, Ruida Cheng, Ronald M. Summers, Zhiyong Lu

CoRR, 2024

Weakly Supervised Detection of Pheochromocytomas and Paragangliomas in CT.

David C. Oluigboa, Bikash Santra, Tejas Sudharshan Mathai, Pritam Mukherjee, Jianfei Liu, Abhishek Jha, Mayank Patel, Karel Pacak, Ronald M. Summers

CoRR, 2024

Automated Classification of Body MRI Sequence Type Using Convolutional Neural Networks.

Kimberly Helm, Tejas Sudharshan Mathai, Boah Kim, Pritam Mukherjee, Jianfei Liu, Ronald M. Summers

CoRR, 2024

Leveraging Professional Radiologists' Expertise to Enhance LLMs' Evaluation for Radiology Reports.

Qingqing Zhu, Xiuying Chen, Qiao Jin, Benjamin Hou, Tejas Sudharshan Mathai, Pritam Mukherjee, Xin Gao, Ronald M. Summers, Zhiyong Lu

CoRR, 2024

Segmentation of pelvic structures in T2 MRI via MR-to-CT synthesis.

Yan Zhuang, Tejas Sudharshan Mathai, Pritam Mukherjee, Ronald M. Summers

Comput. Medical Imaging Graph., 2024

Weakly supervised detection of pheochromocytomas and paragangliomas in CT using noisy data.

David Oluigbo, Tejas Sudharshan Mathai, Bikash Santra, Pritam Mukherjee, Jianfei Liu, Abhishek Jha, Mayank Patel, Karel Pacak, Ronald M. Summers

Comput. Medical Imaging Graph., 2024

AI Fairness in Medical Imaging: Controlling for Disease Severity.

Pritam Mukherjee, Ronald M. Summers

Proceedings of the Ethics and Fairness in Medical Imaging, 2024

Leveraging Professional Radiologists' Expertise to Enhance LLMs' Evaluation for AI-generated Radiology Reports.

Qingqing Zhu, Xiuying Chen, Qiao Jin, Benjamin Hou, Tejas Sudharshan Mathai, Pritam Mukherjee, Xin Gao, Ronald M. Summers, Zhiyong Lu

Proceedings of the 12th IEEE International Conference on Healthcare Informatics, 2024

2023

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

Patterns, January, 2023

Semantic Image Synthesis for Abdominal CT.

Yan Zhuang, Benjamin Hou, Tejas Sudharshan Mathai, Pritam Mukherjee, Boah Kim, Ronald M. Summers

Proceedings of the Deep Generative Models - Third MICCAI Workshop, 2023

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

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

Proceedings of the Applications of Medical Artificial Intelligence, 2023

2022

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

CoRR, 2022

Automated Assessment of Renal Calculi in Serial Computed Tomography Scans.

Pritam Mukherjee, Sungwon Lee, Perry J. Pickhardt, Ronald M. Summers

Proceedings of the Applications of Medical Artificial Intelligence, 2022

2021

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

Patterns, 2021

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

CoRR, 2021

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

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020

A shallow convolutional neural network predicts prognosis of lung cancer patients in multi-institutional computed tomography image datasets.

Pritam Mukherjee, Mu Zhou, Edward Lee, Anne Schicht, Yoganand Balagurunathan, Sandy Napel, Robert J. Gillies, Simon Wong, Alexander Thieme, Ann N. Leung, Olivier Gevaert

Nat. Mach. Intell., 2020

2018

Secure Degrees of Freedom of the Multiple Access Wiretap Channel With Multiple Antennas.

Pritam Mukherjee, Sennur Ulukus

IEEE Trans. Inf. Theory, 2018

Distributed Statistical Estimation of High-Dimensional and Nonparametric Distributions.

Yanjun Han, Pritam Mukherjee, Ayfer Özgür, Tsachy Weissman

Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

2017

Secure Degrees of Freedom of One-Hop Wireless Networks With No Eavesdropper CSIT.

Pritam Mukherjee, Jianwei Xie, Sennur Ulukus

IEEE Trans. Inf. Theory, 2017

Secure Degrees of Freedom Region of the Two-User MISO Broadcast Channel With Alternating CSIT.

Pritam Mukherjee, Ravi Tandon, Sennur Ulukus

IEEE Trans. Inf. Theory, 2017

Secrecy in MIMO Networks With No Eavesdropper CSIT.

Pritam Mukherjee, Sennur Ulukus

IEEE Trans. Commun., 2017

On the Inverse of Forward Adjacency Matrix.

Pritam Mukherjee, L. Satish

CoRR, 2017

2016

Security under Imperfect channel Knowledge in Wireless Networks.

Pritam Mukherjee

PhD thesis, 2016

Real interference alignment for vector channels.

Pritam Mukherjee, Sennur Ulukus

Proceedings of the IEEE International Symposium on Information Theory, 2016

Real interference alignment for the MIMO multiple access wiretap channel.

Pritam Mukherjee, Sennur Ulukus

Proceedings of the 2016 IEEE International Conference on Communications, 2016

Covert bits through queues.

Pritam Mukherjee, Sennur Ulukus

Proceedings of the 2016 IEEE Conference on Communications and Network Security, 2016

MIMO one hop networks with no eve CSIT.

Pritam Mukherjee, Sennur Ulukus

Proceedings of the 54th Annual Allerton Conference on Communication, 2016

2015

Secure Degrees of Freedom of MIMO Rayleigh Block Fading Wiretap Channels With No CSI Anywhere.

Ta-Yuan Liu, Pritam Mukherjee, Sennur Ulukus, Shih-Chun Lin, Yao-Win Peter Hong

IEEE Trans. Wirel. Commun., 2015

Secure degrees of freedom of the interference channel with no eavesdropper CSI.

Pritam Mukherjee, Sennur Ulukus

Proceedings of the 2015 IEEE Information Theory Workshop, 2015

Secure degrees of freedom of the multiple access wiretap channel with no eavesdropper CSI.

Pritam Mukherjee, Sennur Ulukus

Proceedings of the IEEE International Symposium on Information Theory, 2015

Secrecy for MISO broadcast channels with heterogeneous CSIT.

Pritam Mukherjee, Ravi Tandon, Sennur Ulukus

Proceedings of the IEEE International Symposium on Information Theory, 2015

Secrecy for MISO broadcast channels via alternating CSIT.

Pritam Mukherjee, Ravi Tandon, Sennur Ulukus

Proceedings of the 2015 IEEE International Conference on Communications, 2015

Secure degrees of freedom of the MIMO multiple access wiretap channel.

Pritam Mukherjee, Sennur Ulukus

Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015

2014

MISO broadcast channels with confidential messages and alternating CSIT.

Pritam Mukherjee, Ravi Tandon, Sennur Ulukus

Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

Secure DoF of MIMO Rayleigh block fading wiretap channels with No CSI anywhere.

Ta-Yuan Liu, Pritam Mukherjee, Sennur Ulukus, Shih-Chun Lin, Yao-Win Peter Hong

Proceedings of the IEEE International Conference on Communications, 2014

2013

Fading wiretap channel with no CSI anywhere.

Pritam Mukherjee, Sennur Ulukus

Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

Even symmetric parallel linear deterministic interference channels are inseparable.

Pritam Mukherjee, Ravi Tandon, Sennur Ulukus

Proceedings of the 51st Annual Allerton Conference on Communication, 2013

2012

A SPT Treatment to the Realization of the Sign-LMS Based Adaptive Filters.

Sunav Choudhary, Pritam Mukherjee, Mrityunjoy Chakraborty, Shakti Shankar Rath

IEEE Trans. Circuits Syst. I Regul. Pap., 2012

2010

A SPT treatment to the bit serial realization of the sign-LMS based adaptive filter.

Sunav Choudhary, Pritam Mukherjee, Mrityunjoy Chakraborty

Proceedings of the International Symposium on Circuits and Systems (ISCAS 2010), May 30, 2010