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Pritam Mukherjee

Showing results (21-30 of 65) with videos related to

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Academic Radiology|March 22, 2025
Assessing the Reliability of Pancreatic CT Imaging Biomarkers for Diabetes Prediction: A Dual Center Retrospective StudyAbhinav Suri, Pritam Mukherjee, Nusrat Rabbee, et al.
Environmental Science and Pollution Research International|December 12, 2024
Modeling land-degradation vulnerability in coal-mined environs through geospatial and AHP techniques: potential strategies for eco-restorationSingam Laxman Swamy, Alka Mishra, Pritam Mukherjee, et al.
Applications of Medical Artificial Intelligence : Second International Workshop, AMAI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings|May 9, 2025
Anatomical Location-Guided Deep Learning-Based Genetic Cluster Identification of Pheochromocytomas and Paragangliomas From CT ImagesBikash Santra, Abhishek Jha, Pritam Mukherjee, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|March 15, 2025
A unified approach to medical image segmentation by leveraging mixed supervision and self and transfer learning (MIST)Jianfei Liu, Sayantan Bhadra, Omid Shafaat, et al.
Abdominal Radiology (New York)|October 31, 2023
Longitudinal follow-up of incidental renal calculi on computed tomographyPritam Mukherjee, Sungwon Lee, Daniel C Elton, et al.
Communications Medicine|March 29, 2023
Multimodal deep learning to predict prognosis in adult and pediatric brain tumorsSandra Steyaert, Yeping Lina Qiu, Yuanning Zheng, et al.
Radiology|August 12, 2025
One Year On: Assessing Progress of Multimodal Large Language Model Performance on RSNA 2024 Case of the Day QuestionsBenjamin Hou, Pritam Mukherjee, Vivek Batheja, et al.
Arxiv|March 26, 2024
Automated Classification of Body MRI Sequence Type Using Convolutional Neural NetworksKimberly Helm, Tejas Sudharshan Mathai, Boah Kim, et al.
Environmental Pollution (Barking, Essex : 1987)|July 9, 2025
Biofortified vermicompost: Exploring bacterial community dynamics and enzymatic pathways through bacteriome analysis for arsenic bioremediation in mine wasteShreya Chakraborty, Sonali Banerjee, Sumit Kumar, et al.
Arxiv|July 30, 2025
Segment-and-Classify: ROI-Guided Generalizable Contrast Phase Classification in CT Using XGBoostBenjamin Hou, Tejas Sudharshan Mathai, Pritam Mukherjee, et al.
Pageof 7

Showing results (21-30 of 65) with videos related to

Sort By:
Pageof 7
Academic Radiology|March 22, 2025
Assessing the Reliability of Pancreatic CT Imaging Biomarkers for Diabetes Prediction: A Dual Center Retrospective StudyAbhinav Suri, Pritam Mukherjee, Nusrat Rabbee, et al.
Environmental Science and Pollution Research International|December 12, 2024
Modeling land-degradation vulnerability in coal-mined environs through geospatial and AHP techniques: potential strategies for eco-restorationSingam Laxman Swamy, Alka Mishra, Pritam Mukherjee, et al.
Applications of Medical Artificial Intelligence : Second International Workshop, AMAI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings|May 9, 2025
Anatomical Location-Guided Deep Learning-Based Genetic Cluster Identification of Pheochromocytomas and Paragangliomas From CT ImagesBikash Santra, Abhishek Jha, Pritam Mukherjee, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|March 15, 2025
A unified approach to medical image segmentation by leveraging mixed supervision and self and transfer learning (MIST)Jianfei Liu, Sayantan Bhadra, Omid Shafaat, et al.
Abdominal Radiology (New York)|October 31, 2023
Longitudinal follow-up of incidental renal calculi on computed tomographyPritam Mukherjee, Sungwon Lee, Daniel C Elton, et al.
Communications Medicine|March 29, 2023
Multimodal deep learning to predict prognosis in adult and pediatric brain tumorsSandra Steyaert, Yeping Lina Qiu, Yuanning Zheng, et al.
Radiology|August 12, 2025
One Year On: Assessing Progress of Multimodal Large Language Model Performance on RSNA 2024 Case of the Day QuestionsBenjamin Hou, Pritam Mukherjee, Vivek Batheja, et al.
Arxiv|March 26, 2024
Automated Classification of Body MRI Sequence Type Using Convolutional Neural NetworksKimberly Helm, Tejas Sudharshan Mathai, Boah Kim, et al.
Environmental Pollution (Barking, Essex : 1987)|July 9, 2025
Biofortified vermicompost: Exploring bacterial community dynamics and enzymatic pathways through bacteriome analysis for arsenic bioremediation in mine wasteShreya Chakraborty, Sonali Banerjee, Sumit Kumar, et al.
Arxiv|July 30, 2025
Segment-and-Classify: ROI-Guided Generalizable Contrast Phase Classification in CT Using XGBoostBenjamin Hou, Tejas Sudharshan Mathai, Pritam Mukherjee, et al.
Pageof 7