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Journal of Cardiovascular Development and Disease|October 26, 2022
Attention-Based UNet Deep Learning Model for Plaque Segmentation in Carotid Ultrasound for Stroke Risk Stratification: An Artificial Intelligence ParadigmPankaj K Jain, Abhishek Dubey, Luca Saba, et al.Diagnostics (Basel, Switzerland)|December 24, 2021
Unseen Artificial Intelligence-Deep Learning Paradigm for Segmentation of Low Atherosclerotic Plaque in Carotid Ultrasound: A Multicenter Cardiovascular StudyPankaj K Jain, Neeraj Sharma, Luca Saba, et al.Journal of Medical Systems|May 15, 2017
Plaque Tissue Morphology-Based Stroke Risk Stratification Using Carotid Ultrasound: A Polling-Based PCA Learning ParadigmLuca Saba, Pankaj K Jain, Harman S Suri, et al.Journal of Family Medicine and Primary Care|October 26, 2020
Japanese encephalitis in Uttar Pradesh, India: A situational analysisAnil K Singh, Pradip Kharya, Vikasendu Agarwal, et al.Computer Methods and Programs in Biomedicine|April 5, 2016
PCA-based polling strategy in machine learning framework for coronary artery disease risk assessment in intravascular ultrasound: A link between carotid and coronary grayscale plaque morphologyTadashi Araki, Nobutaka Ikeda, Devarshi Shukla, et al.Computers in Biology and Medicine|December 5, 2016
Stroke Risk Stratification and its Validation using Ultrasonic Echolucent Carotid Wall Plaque Morphology: A Machine Learning ParadigmTadashi Araki, Pankaj K Jain, Harman S Suri, et al.Computers in Biology and Medicine|February 11, 2026
Identification of high-risk genes and classification of acute myocardial infarction patients utilizing deep learning in a restricted cohortKrish Chaudhary, Narendra N Khanna, Pankaj K Jain, et al.Pageof 2