Pritam Mukherjee

67 papers B 6C 1Misc 2Journal 39Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	UNIStainNet: Foundation-Model-Guided Virtual Staining of H&E to IHC. CoRR Jillur Rahman Saurav, Thuong Le Hoai Pham, Pritam Mukherjee, Paul Yi, Brent A. Orr, Jacob M. Luber
2025	J	`jnl`	A Study of Anatomical Priors for Deep Learning-Based Segmentation of Pheochromocytoma in Abdominal CT. CoRR Tanjin Taher Toma, Tejas Sudharshan Mathai, Bikash Santra, Pritam Mukherjee, Jianfei Liu, Wesley Jong, Darwish Alabyad, Vivek Batheja, Abhishek Jha, Mayank Patel, Darko Pucar, Jayadira del Rivero, Karel Pacak, Ronald M. Summers
2025	J	`jnl`	A unified approach to medical image segmentation by leveraging mixed supervision and self and transfer learning (MIST). Comput. Medical Imaging Graph. Jianfei Liu, Sayantan Bhadra, Omid Shafaat, Pritam Mukherjee, Christopher Parnell, Ronald M. Summers
2025	—	`conf`	An Automated Whole Torso Aortic and Iliac Artery Atherosclerotic Burden Assessment on Body CT. ISBI Jianfei Liu, Vivek Batheja, Pritam Mukherjee, Perry J. Pickhardt, Peter C. Grayson, Ronald M. Summers
2025	—	`conf`	Benchmarking MRISegmenter++ for Splenomegaly: A Comprehensive Comparative Study. AMAI@MICCAI Jianfei Liu, Langston Locke, Pritam Mukherjee, Tejas Sudharshan Mathai, Yan Zhuang, Brandon Khoury, Lauren Eckhardt, Christina T. Kozycki, Ronald M. Summers
2025	J	`jnl`	Benchmarking Multi-Organ Segmentation Tools for Multi-Parametric T1-weighted Abdominal MRI. CoRR Nicole Tran, Anisa Prasad, Yan Zhuang, Tejas Sudharshan Mathai, Boah Kim, Sydney Lewis, Pritam Mukherjee, Jianfei Liu, Ronald M. Summers
2025	J	`jnl`	Efficient 2D CT Foundation Model for Contrast Phase Classification. CoRR Benjamin Hou, Tejas Sudharshan Mathai, Pritam Mukherjee, Xinya Wang, Ronald M. Summers, Zhiyong Lu
2025	J	`jnl`	Enhancing chest X-ray datasets with privacy-preserving large language models and multi-type annotations: A data-driven approach for improved classification. Medical Image Anal. Ricardo Bigolin Lanfredi, Pritam Mukherjee, Ronald M. Summers
2025	J	`jnl`	How well do multimodal LLMs interpret CT scans? An auto-evaluation framework for analyses. J. Biomed. Informatics Qingqing Zhu, Benjamin Hou, Tejas Sudharshan Mathai, Pritam Mukherjee, Qiao Jin, Xiuying Chen, Zhizheng Wang, Ruida Cheng, Ronald M. Summers, Zhiyong Lu
2025	J	`jnl`	Improved muscle and fat segmentation for body composition measures on quantitative CT. Int. J. Comput. Assist. Radiol. Surg. Jianfei Liu, Praveen Thoppey Srinivasan Balamuralikrishna, Sovira Tan, Pritam Mukherjee, Tejas Sudharshan Mathai, Perry J. Pickhardt, Ronald M. Summers
2025	—	`conf`	LEAVS: An LLM-Based Labeler for Abdominal CT Supervision. MICCAI (5) 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
2025	J	`jnl`	LEAVS: An LLM-based Labeler for Abdominal CT Supervision. CoRR 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
2025	J	`jnl`	Leveraging Anatomical Priors for Automated Pancreas Segmentation on Abdominal CT. CoRR Anisa Prasad, Tejas Sudharshan Mathai, Pritam Mukherjee, Jianfei Liu, Ronald M. Summers
2025	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 Workshops - LDTM 2024, MMMI/ML4MHD 2024, ML-CDS 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6-10, 2024, Proceedings LDTM/MMMI/ML4MHD/ML-CDS@MICCAI Anna Schroder, Xiang Li, Tanveer F. Syeda-Mahmood, Neil P. Oxtoby, Alexandra L. Young, Alessa Hering, Tejas Sudharshan Mathai, Pritam Mukherjee, Sven Kuckertz, Tiantian He, Isaac Llorente-Saguer, Andreas Maier, Satyananda Kashyap, Hayit Greenspan, Anant Madabhushi
2025	J	`jnl`	Text Embedded Swin-UMamba for DeepLesion Segmentation. CoRR Ruida Cheng, Tejas Sudharshan Mathai, Pritam Mukherjee, Benjamin Hou, Qingqing Zhu, Zhiyong Lu, Matthew J. McAuliffe, Ronald M. Summers
2025	J	`jnl`	Utilizing domain knowledge to improve the classification of intravenous contrast phase of CT scans. Comput. Medical Imaging Graph. Liangchen Liu, Jianfei Liu, Bikash Santra, Christopher Parnell, Pritam Mukherjee, Tejas Sudharshan Mathai, Yingying Zhu, Akshaya Anand, Ronald M. Summers
2024	—	`conf`	AI Fairness in Medical Imaging: Controlling for Disease Severity. FAIMI/EPIMI@MICCAI Pritam Mukherjee, Ronald M. Summers
2024	J	`jnl`	Automated Classification of Body MRI Sequence Type Using Convolutional Neural Networks. CoRR Kimberly Helm, Tejas Sudharshan Mathai, Boah Kim, Pritam Mukherjee, Jianfei Liu, Ronald M. Summers
2024	J	`jnl`	Decomposing Vision-based LLM Predictions for Auto-Evaluation with GPT-4. CoRR Qingqing Zhu, Benjamin Hou, Tejas Sudharshan Mathai, Pritam Mukherjee, Qiao Jin, Xiuying Chen, Zhizheng Wang, Ruida Cheng, Ronald M. Summers, Zhiyong Lu
2024	J	`jnl`	Enhancing chest X-ray datasets with privacy-preserving large language models and multi-type annotations: a data-driven approach for improved classification. CoRR Ricardo Bigolin Lanfredi, Pritam Mukherjee, Ronald M. Summers
2024	—	`conf`	Leveraging Professional Radiologists' Expertise to Enhance LLMs' Evaluation for AI-generated Radiology Reports. ICHI Qingqing Zhu, Xiuying Chen, Qiao Jin, Benjamin Hou, Tejas Sudharshan Mathai, Pritam Mukherjee, Xin Gao, Ronald M. Summers, Zhiyong Lu
2024	J	`jnl`	Leveraging Professional Radiologists' Expertise to Enhance LLMs' Evaluation for Radiology Reports. CoRR Qingqing Zhu, Xiuying Chen, Qiao Jin, Benjamin Hou, Tejas Sudharshan Mathai, Pritam Mukherjee, Xin Gao, Ronald M. Summers, Zhiyong Lu
2024	J	`jnl`	MRISegmentator-Abdomen: A Fully Automated Multi-Organ and Structure Segmentation Tool for T1-weighted Abdominal MRI. CoRR Yan Zhuang, Tejas Sudharshan Mathai, Pritam Mukherjee, Brandon Khoury, Boah Kim, Benjamin Hou, Nusrat Rabbee, Ronald M. Summers
2024	J	`jnl`	Segmentation of pelvic structures in T2 MRI via MR-to-CT synthesis. Comput. Medical Imaging Graph. Yan Zhuang, Tejas Sudharshan Mathai, Pritam Mukherjee, Ronald M. Summers
2024	J	`jnl`	Weakly Supervised Detection of Pheochromocytomas and Paragangliomas in CT. CoRR David C. Oluigboa, Bikash Santra, Tejas Sudharshan Mathai, Pritam Mukherjee, Jianfei Liu, Abhishek Jha, Mayank Patel, Karel Pacak, Ronald M. Summers
2024	J	`jnl`	Weakly supervised detection of pheochromocytomas and paragangliomas in CT using noisy data. Comput. Medical Imaging Graph. David Oluigbo, Tejas Sudharshan Mathai, Bikash Santra, Pritam Mukherjee, Jianfei Liu, Abhishek Jha, Mayank Patel, Karel Pacak, Ronald M. Summers
2023	—	`conf`	Anatomical Location-Guided Deep Learning-Based Genetic Cluster Identification of Pheochromocytomas and Paragangliomas from CT Images. AMAI@MICCAI Bikash Santra, Abhishek Jha, Pritam Mukherjee, Mayank Patel, Karel Pacak, Ronald M. Summers
2023	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops - MTSAIL 2023, LEAF 2023, AI4Treat 2023, MMMI 2023, REMIA 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8-12, 2023, Proceedings MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI Jonghye Woo, Alessa Hering, Wilson Silva, Xiang Li, Huazhu Fu, Xiaofeng Liu, Fangxu Xing, Sanjay Purushotham, Tejas Sudharshan Mathai, Pritam Mukherjee, Max De Grauw, Regina Beets-Tan, Valentina Corbetta, Elmar Kotter, Mauricio Reyes, Christian F. Baumgartner, Quanzheng Li, Richard M. Leahy, Bin Dong, Hao Chen, Yuankai Huo, Jinglei Lv, Xinxing Xu, Xiaomeng Li, Dwarikanath Mahapatra, Li Cheng, Caroline Petitjean, Benoît Presles
2023	—	`conf`	Semantic Image Synthesis for Abdominal CT. DGM4MICCAI Yan Zhuang, Benjamin Hou, Tejas Sudharshan Mathai, Pritam Mukherjee, Boah Kim, Ronald M. Summers
2023	J	`jnl`	Semantic Image Synthesis for Abdominal CT. CoRR Yan Zhuang, Benjamin Hou, Tejas Sudharshan Mathai, Pritam Mukherjee, Boah Kim, Ronald M. Summers
2023	J	`jnl`	Topological data analysis of thoracic radiographic images shows improved radiomics-based lung tumor histology prediction. Patterns Robin Vandaele, Pritam Mukherjee, Heather Marie Selby, Rajesh Pravin Shah, Olivier Gevaert
2023	J	`jnl`	Utilizing Longitudinal Chest X-Rays and Reports to Pre-Fill Radiology Reports. CoRR Qingqing Zhu, Tejas Sudharshan Mathai, Pritam Mukherjee, Yifan Peng, Ronald M. Summers, Zhiyong Lu
2023	—	`conf`	Utilizing Longitudinal Chest X-Rays and Reports to Pre-fill Radiology Reports. MICCAI (5) Qingqing Zhu, Tejas Sudharshan Mathai, Pritam Mukherjee, Yifan Peng, Ronald M. Summers, Zhiyong Lu
2022	—	`conf`	Automated Assessment of Renal Calculi in Serial Computed Tomography Scans. AMAI@MICCAI Pritam Mukherjee, Sungwon Lee, Perry J. Pickhardt, Ronald M. Summers
2022	J	`jnl`	Disparities in Dermatology AI Performance on a Diverse, Curated Clinical Image Set. CoRR 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
2021	J	`jnl`	Disparities in Dermatology AI: Assessments Using Diverse Clinical Images. CoRR 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	J	`jnl`	Structuring clinical text with AI: Old versus new natural language processing techniques evaluated on eight common cardiovascular diseases. Patterns Xianghao Zhan, Marie Humbert-Droz, Pritam Mukherjee, Olivier Gevaert
2021	Misc	`conf`	Tracking the Evolution of COVID-19 via Temporal Comorbidity Analysis from Multi-Modal Data. AMIA Sutanay Choudhury, Khushbu Agarwal, Colby Ham, Pritam Mukherjee, Siyi Tang, Sindhu Tipirneni, Veysel Kocaman, Suzanne Tamang, Robert Rallo, Chandan K. Reddy
2020	J	`jnl`	A shallow convolutional neural network predicts prognosis of lung cancer patients in multi-institutional computed tomography image datasets. Nat. Mach. Intell. Pritam Mukherjee, Mu Zhou, Edward Lee, Anne Schicht, Yoganand Balagurunathan, Sandy Napel, Robert J. Gillies, Simon Wong, Alexander Thieme, Ann N. Leung, Olivier Gevaert
2018	B	`conf`	Distributed Statistical Estimation of High-Dimensional and Nonparametric Distributions. ISIT Yanjun Han, Pritam Mukherjee, Ayfer Özgür, Tsachy Weissman
2018	J	`jnl`	Secure Degrees of Freedom of the Multiple Access Wiretap Channel With Multiple Antennas. IEEE Trans. Inf. Theory Pritam Mukherjee, Sennur Ulukus
2017	J	`jnl`	On the Inverse of Forward Adjacency Matrix. CoRR Pritam Mukherjee, L. Satish
2017	J	`jnl`	Secrecy in MIMO Networks With No Eavesdropper CSIT. IEEE Trans. Commun. Pritam Mukherjee, Sennur Ulukus
2017	J	`jnl`	Secure Degrees of Freedom Region of the Two-User MISO Broadcast Channel With Alternating CSIT. IEEE Trans. Inf. Theory Pritam Mukherjee, Ravi Tandon, Sennur Ulukus
2017	J	`jnl`	Secure Degrees of Freedom of One-Hop Wireless Networks With No Eavesdropper CSIT. IEEE Trans. Inf. Theory Pritam Mukherjee, Jianwei Xie, Sennur Ulukus
2016	J	`jnl`	Covert Bits Through Queues. CoRR Pritam Mukherjee, Sennur Ulukus
2016	—	`conf`	Covert bits through queues. CNS Pritam Mukherjee, Sennur Ulukus
2016	—	`conf`	MIMO one hop networks with no eve CSIT. Allerton Pritam Mukherjee, Sennur Ulukus
2016	—	`conf`	Real interference alignment for the MIMO multiple access wiretap channel. ICC Pritam Mukherjee, Sennur Ulukus
2016	B	`conf`	Real interference alignment for vector channels. ISIT Pritam Mukherjee, Sennur Ulukus
2016	J	`jnl`	Secrecy in MIMO Networks with No Eavesdropper CSIT. CoRR Pritam Mukherjee, Sennur Ulukus
2016	J	`jnl`	Secure Degrees of Freedom of the Multiple Access Wiretap Channel with Multiple Antennas. CoRR Pritam Mukherjee, Sennur Ulukus
2016	—	`—`	Security under Imperfect channel Knowledge in Wireless Networks. Pritam Mukherjee
2015	—	`conf`	Secrecy for MISO broadcast channels via alternating CSIT. ICC Pritam Mukherjee, Ravi Tandon, Sennur Ulukus
2015	B	`conf`	Secrecy for MISO broadcast channels with heterogeneous CSIT. ISIT Pritam Mukherjee, Ravi Tandon, Sennur Ulukus
2015	J	`jnl`	Secure Degrees of Freedom Region of the Two-User MISO Broadcast Channel with Alternating CSIT. CoRR Pritam Mukherjee, Ravi Tandon, Sennur Ulukus
2015	J	`jnl`	Secure Degrees of Freedom of MIMO Rayleigh Block Fading Wiretap Channels With No CSI Anywhere. IEEE Trans. Wirel. Commun. Ta-Yuan Liu, Pritam Mukherjee, Sennur Ulukus, Shih-Chun Lin, Yao-Win Peter Hong
2015	J	`jnl`	Secure Degrees of Freedom of One-hop Wireless Networks with No Eavesdropper CSIT. CoRR Pritam Mukherjee, Jianwei Xie, Sennur Ulukus
2015	Misc	`conf`	Secure degrees of freedom of the MIMO multiple access wiretap channel. ACSSC Pritam Mukherjee, Sennur Ulukus
2015	—	`conf`	Secure degrees of freedom of the interference channel with no eavesdropper CSI. ITW Fall Pritam Mukherjee, Sennur Ulukus
2015	B	`conf`	Secure degrees of freedom of the multiple access wiretap channel with no eavesdropper CSI. ISIT Pritam Mukherjee, Sennur Ulukus
2014	B	`conf`	MISO broadcast channels with confidential messages and alternating CSIT. ISIT Pritam Mukherjee, Ravi Tandon, Sennur Ulukus
2014	—	`conf`	Secure DoF of MIMO Rayleigh block fading wiretap channels with No CSI anywhere. ICC Ta-Yuan Liu, Pritam Mukherjee, Sennur Ulukus, Shih-Chun Lin, Yao-Win Peter Hong
2013	—	`conf`	Even symmetric parallel linear deterministic interference channels are inseparable. Allerton Pritam Mukherjee, Ravi Tandon, Sennur Ulukus
2013	B	`conf`	Fading wiretap channel with no CSI anywhere. ISIT Pritam Mukherjee, Sennur Ulukus
2012	J	`jnl`	A SPT Treatment to the Realization of the Sign-LMS Based Adaptive Filters. IEEE Trans. Circuits Syst. I Regul. Pap. Sunav Choudhary, Pritam Mukherjee, Mrityunjoy Chakraborty, Shakti Shankar Rath
2010	C	`conf`	A SPT treatment to the bit serial realization of the sign-LMS based adaptive filter. ISCAS Sunav Choudhary, Pritam Mukherjee, Mrityunjoy Chakraborty