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Sovanlal Mukherjee

Showing results (1-10 of 13) with videos related to

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Medical Physics|November 20, 2019
Integrating soft and hard dose-volume constraints into hierarchical constrained IMRT optimizationSovanlal Mukherjee, Linda Hong, Joseph O Deasy, et al.
Radiology. Imaging Cancer|December 23, 2021
Radiomics for Detection of Pancreas Adenocarcinoma on CT Scans: Impact of Biliary StentsGarima Suman, Anurima Patra, Sovanlal Mukherjee, et al.
Visceral Medicine|June 26, 2025
Artificial Intelligence-Augmented Imaging for Early Pancreatic Cancer DetectionAjith Antony, Sovanlal Mukherjee, Khurram Bhinder, et al.
Abdominal Radiology (New York)|December 31, 2024
AI-Driven insights in pancreatic cancer imaging: from pre-diagnostic detection to prognosticationAjith Antony, Sovanlal Mukherjee, Yan Bi, et al.
Scientific Reports|May 16, 2025
Pancreas segmentation using AI developed on the largest CT dataset with multi-institutional validation and implications for early cancer detectionSovanlal Mukherjee, Ajith Antony, Nandakumar G Patnam, et al.
Abdominal Radiology (New York)|January 4, 2024
Assessing the robustness of a machine-learning model for early detection of pancreatic adenocarcinoma (PDA): evaluating resilience to variations in image acquisition and radiomics workflow using image perturbation methodsSovanlal Mukherjee, Panagiotis Korfiatis, Nandakumar G Patnam, et al.
Abdominal Radiology (New York)|September 10, 2022
Radiomics-based machine learning (ML) classifier for detection of type 2 diabetes on standard-of-care abdomen CTs: a proof-of-concept studyDarryl E Wright, Sovanlal Mukherjee, Anurima Patra, et al.
NPJ Precision Oncology|July 3, 2026
Anatomically constrained deep learning for clinical-grade volumetric pancreatic cancer segmentation: development, validation, and architectural benchmarkingSovanlal Mukherjee, Khurram Khaliq Bhinder, Armin Zarrintan, et al.
European Journal of Nuclear Medicine and Molecular Imaging|November 5, 2025
Interpretive consistency of a qualitative <sup>68</sup>Ga-PSMA PET framework for treatment response assessment in hepatocellular carcinoma: a head-to-head comparison with cross-sectional imagingAjith Antony, Nguyen H Tran, Nandakumar G Patnam, et al.
Gut|April 28, 2026
Next-generation AI for visually occult pancreatic cancer detection in a low-prevalence setting with longitudinal stability and multi-institutional generalisabilitySovanlal Mukherjee, Ajith Antony, Nandakumar G Patnam, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
Medical Physics|November 20, 2019
Integrating soft and hard dose-volume constraints into hierarchical constrained IMRT optimizationSovanlal Mukherjee, Linda Hong, Joseph O Deasy, et al.
Radiology. Imaging Cancer|December 23, 2021
Radiomics for Detection of Pancreas Adenocarcinoma on CT Scans: Impact of Biliary StentsGarima Suman, Anurima Patra, Sovanlal Mukherjee, et al.
Visceral Medicine|June 26, 2025
Artificial Intelligence-Augmented Imaging for Early Pancreatic Cancer DetectionAjith Antony, Sovanlal Mukherjee, Khurram Bhinder, et al.
Abdominal Radiology (New York)|December 31, 2024
AI-Driven insights in pancreatic cancer imaging: from pre-diagnostic detection to prognosticationAjith Antony, Sovanlal Mukherjee, Yan Bi, et al.
Scientific Reports|May 16, 2025
Pancreas segmentation using AI developed on the largest CT dataset with multi-institutional validation and implications for early cancer detectionSovanlal Mukherjee, Ajith Antony, Nandakumar G Patnam, et al.
Abdominal Radiology (New York)|January 4, 2024
Assessing the robustness of a machine-learning model for early detection of pancreatic adenocarcinoma (PDA): evaluating resilience to variations in image acquisition and radiomics workflow using image perturbation methodsSovanlal Mukherjee, Panagiotis Korfiatis, Nandakumar G Patnam, et al.
Abdominal Radiology (New York)|September 10, 2022
Radiomics-based machine learning (ML) classifier for detection of type 2 diabetes on standard-of-care abdomen CTs: a proof-of-concept studyDarryl E Wright, Sovanlal Mukherjee, Anurima Patra, et al.
NPJ Precision Oncology|July 3, 2026
Anatomically constrained deep learning for clinical-grade volumetric pancreatic cancer segmentation: development, validation, and architectural benchmarkingSovanlal Mukherjee, Khurram Khaliq Bhinder, Armin Zarrintan, et al.
European Journal of Nuclear Medicine and Molecular Imaging|November 5, 2025
Interpretive consistency of a qualitative <sup>68</sup>Ga-PSMA PET framework for treatment response assessment in hepatocellular carcinoma: a head-to-head comparison with cross-sectional imagingAjith Antony, Nguyen H Tran, Nandakumar G Patnam, et al.
Gut|April 28, 2026
Next-generation AI for visually occult pancreatic cancer detection in a low-prevalence setting with longitudinal stability and multi-institutional generalisabilitySovanlal Mukherjee, Ajith Antony, Nandakumar G Patnam, et al.
Pageof 2