A SPT treatment to the bit serial realization of the sign-LMS based adaptive filter. - Sunav Choudhary; Pritam Mukherjee; Mrityunjoy Chakraborty (ISCAS, 2010)

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)

Even symmetric parallel linear deterministic interference channels are inseparable. - Pritam Mukherjee; Ravi Tandon; Sennur Ulukus (Allerton, 2013)

Fading wiretap channel with no CSI anywhere. - Pritam Mukherjee; Sennur Ulukus (ISIT, 2013)

Secure DoF of MIMO Rayleigh block fading wiretap channels with No CSI anywhere. - Ta-Yuan Liu; Pritam Mukherjee; Sennur Ulukus; Shih-Chun Lin 001; Yao-Win Peter Hong (ICC, 2014)

MISO broadcast channels with confidential messages and alternating CSIT. - Pritam Mukherjee; Ravi Tandon; Sennur Ulukus (ISIT, 2014)

Secure degrees of freedom of the MIMO multiple access wiretap channel. - Pritam Mukherjee; Sennur Ulukus (ACSSC, 2015)

Secrecy for MISO broadcast channels via alternating CSIT. - Pritam Mukherjee; Ravi Tandon; Sennur Ulukus (ICC, 2015)

Secrecy for MISO broadcast channels with heterogeneous CSIT. - Pritam Mukherjee; Ravi Tandon; Sennur Ulukus (ISIT, 2015)

Secure degrees of freedom of the multiple access wiretap channel with no eavesdropper CSI. - Pritam Mukherjee; Sennur Ulukus (ISIT, 2015)

Secure degrees of freedom of the interference channel with no eavesdropper CSI. - Pritam Mukherjee; Sennur Ulukus (ITW Fall, 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 001; Yao-Win Peter Hong (IEEE Trans. Wirel. Commun., 2015)

MIMO one hop networks with no eve CSIT. - Pritam Mukherjee; Sennur Ulukus (Allerton, 2016)

Covert bits through queues. - Pritam Mukherjee; Sennur Ulukus (CNS, 2016)

Real interference alignment for the MIMO multiple access wiretap channel. - Pritam Mukherjee; Sennur Ulukus (ICC, 2016)

Real interference alignment for vector channels. - Pritam Mukherjee; Sennur Ulukus (ISIT, 2016)

Security under Imperfect channel Knowledge in Wireless Networks. - Pritam Mukherjee (2016)

On the Inverse of Forward Adjacency Matrix. - Pritam Mukherjee; L. Satish (CoRR, 2017)

Secrecy in MIMO Networks With No Eavesdropper CSIT. - Pritam Mukherjee; Sennur Ulukus (IEEE Trans. Commun., 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)

Secure Degrees of Freedom of One-Hop Wireless Networks With No Eavesdropper CSIT. - Pritam Mukherjee; Jianwei Xie; Sennur Ulukus (IEEE Trans. Inf. Theory, 2017)

Distributed Statistical Estimation of High-Dimensional and Nonparametric Distributions. - Yanjun Han; Pritam Mukherjee; Ayfer Özgür; Tsachy Weissman (ISIT, 2018)

Secure Degrees of Freedom of the Multiple Access Wiretap Channel With Multiple Antennas. - Pritam Mukherjee; Sennur Ulukus (IEEE Trans. Inf. Theory, 2018)

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)

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 (AMIA, 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; et al. (CoRR, 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)

Automated Assessment of Renal Calculi in Serial Computed Tomography Scans. - Pritam Mukherjee; Sungwon Lee 003; Perry J. Pickhardt; Ronald M. Summers (AMAI@MICCAI, 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; et al. (CoRR, 2022)

Anatomical Location-Guided Deep Learning-Based Genetic Cluster Identification of Pheochromocytomas and Paragangliomas from CT Images. - Bikash Santra; Abhishek Jha; Pritam Mukherjee; Mayank Patel 003; Karel Pacak; Ronald M. Summers (AMAI@MICCAI, 2023)

Utilizing Longitudinal Chest X-Rays and Reports to Pre-fill Radiology Reports. - Qingqing Zhu; Tejas Sudharshan Mathai; Pritam Mukherjee; Yifan Peng 002; Ronald M. Summers; Zhiyong Lu (MICCAI (5), 2023)

Semantic Image Synthesis for Abdominal CT. - Yan Zhuang; Benjamin Hou; Tejas Sudharshan Mathai; Pritam Mukherjee; Boah Kim; Ronald M. Summers (DGM4MICCAI, 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, 2023)

Leveraging Professional Radiologists' Expertise to Enhance LLMs' Evaluation for AI-generated Radiology Reports. - Qingqing Zhu; Xiuying Chen; Qiao Jin 001; Benjamin Hou; Tejas Sudharshan Mathai; Pritam Mukherjee; Xin Gao 001; Ronald M. Summers; Zhiyong Lu (ICHI, 2024)

AI Fairness in Medical Imaging: Controlling for Disease Severity. - Pritam Mukherjee; Ronald M. Summers (FAIMI/EPIMI@MICCAI, 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 003; Karel Pacak; Ronald M. Summers (Comput. Medical Imaging Graph., 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)

Leveraging Professional Radiologists' Expertise to Enhance LLMs' Evaluation for Radiology Reports. - Qingqing Zhu; Xiuying Chen; Qiao Jin 001; Benjamin Hou; Tejas Sudharshan Mathai; Pritam Mukherjee; Xin Gao 001; Ronald M. Summers; Zhiyong Lu (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)

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 003; Karel Pacak; 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 001; Xiuying Chen; Zhizheng Wang; Ruida Cheng; Ronald M. Summers; Zhiyong Lu (CoRR, 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)

An Automated Whole Torso Aortic and Iliac Artery Atherosclerotic Burden Assessment on Body CT. - Jianfei Liu; Vivek Batheja; Pritam Mukherjee; Perry J. Pickhardt; Peter C. Grayson; Ronald M. Summers (ISBI, 2025)

A unified approach to medical image segmentation by leveraging mixed supervision and self and transfer learning (MIST). - Jianfei Liu; Sayantan Bhadra; Omid Shafaat; Pritam Mukherjee; Christopher Parnell; Ronald M. Summers (Comput. Medical Imaging Graph., 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 003; Akshaya Anand; Ronald M. Summers (Comput. Medical Imaging Graph., 2025)

How well do multimodal LLMs interpret CT scans? An auto-evaluation framework for analyses. - Qingqing Zhu; Benjamin Hou; Tejas Sudharshan Mathai; Pritam Mukherjee; Qiao Jin 001; Xiuying Chen; Zhizheng Wang; Ruida Cheng; Ronald M. Summers; Zhiyong Lu (J. Biomed. Informatics, 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)

Efficient 2D CT Foundation Model for Contrast Phase Classification. - Benjamin Hou; Tejas Sudharshan Mathai; Pritam Mukherjee; Xinya Wang; Ronald M. Summers; Zhiyong Lu (CoRR, 2025)

LEAVS: An LLM-based Labeler for Abdominal CT Supervision. - Ricardo Bigolin Lanfredi; Yan Zhuang; Mark Finkelstein; Praveen Thoppey Srinivasan Balamuralikrishna; Luke Krembs; Brandon Khoury; Arthi Reddy; Pritam Mukherjee; Neil M. Rofsky; Ronald M. Summers (CoRR, 2025)

Leveraging Anatomical Priors for Automated Pancreas Segmentation on Abdominal CT. - Anisa Prasad; Tejas Sudharshan Mathai; Pritam Mukherjee; Jianfei Liu; Ronald M. Summers (CoRR, 2025)

Benchmarking Multi-Organ Segmentation Tools for Multi-Parametric T1-weighted Abdominal MRI. - Nicole Tran; Anisa Prasad; Yan Zhuang; Tejas Sudharshan Mathai; Boah Kim; Sydney Lewis; Pritam Mukherjee; Jianfei Liu; Ronald M. Summers (CoRR, 2025)

A Study of Anatomical Priors for Deep Learning-Based Segmentation of Pheochromocytoma in Abdominal CT. - Tanjin Taher Toma; Tejas Sudharshan Mathai; Bikash Santra; Pritam Mukherjee; Jianfei Liu; Wesley Jong; Darwish Alabyad; Vivek Batheja; Abhishek Jha; Mayank Patel 003; Darko Pucar; Jayadira del Rivero; et al. (CoRR, 2025)

Text Embedded Swin-UMamba for DeepLesion Segmentation. - Ruida Cheng; Tejas Sudharshan Mathai; Pritam Mukherjee; Benjamin Hou; Qingqing Zhu; Zhiyong Lu; Matthew J. McAuliffe; Ronald M. Summers (CoRR, 2025)