PAC-Bayes Bounds on Variational Tempered Posteriors for Markov Models by Imon Banerjee, Vinayak A. Rao, Harsha Honnappa

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A Fully-Integrated Analog Machine Learning Classifier for Breast Cancer Classification by Sanjeev T. Chandrasekaran, Ruobing Hua, Imon Banerjee, Arindam Sanyal

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In-sensor neural network for high energy efficiency analog-to-information conversion by Sudarsan Sadasivuni, Sumukh Prashant Bhanushali, Imon Banerjee, Arindam Sanyal

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Fusion of fully integrated analog machine learning classifier with electronic medical records for real-time prediction of sepsis onset by Sudarsan Sadasivuni, Monjoy Saha, Neal Bhatia, Imon Banerjee, Arindam Sanyal

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Weakly supervised temporal model for prediction of breast cancer distant recurrence by Josh Sanyal, Amara Tariq, Allison W. Kurian, Daniel Rubin, Imon Banerjee

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Automatic Classification of Cancer Pathology Reports: A Systematic Review by Thiago Santos, Amara Tariq, Judy Wawira Gichoya, Hari Trivedi, Imon Banerjee

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AI Education for Fourth-Year Medical Students: Two-Year Experience of a Web-Based, Self-Guided Curriculum and Mixed Methods Study by Areeba Abid, Avinash Murugan, Imon Banerjee, Saptarshi Purkayastha, Hari Trivedi, Judy Gichoya

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Fusion of medical imaging and electronic health records using deep learning: a systematic review and implementation guidelines by Shih-Cheng Huang, Anuj Pareek, Saeed Seyyedi, Imon Banerjee, Matthew P. Lungren

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Multimodal fusion with deep neural networks for leveraging CT imaging and electronic health record: a case-study in pulmonary embolism detection by Shih-Cheng Huang, Anuj Pareek, Roham Zamanian, Imon Banerjee, Matthew P. Lungren

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Predicting inadequate postoperative pain management in depressed patients: A machine learning approach. by Arjun Parthipan, Imon Banerjee, Keith Humphreys, Steven M Asch, Catherine Curtin, Ian Carroll, Tina Hernandez-Boussard

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The Role of Artificial Intelligence in Echocardiography by Timothy Barry, Juan Maria Farina, Chieh-Ju Chao, Chadi Ayoub, Jiwoong Jeong, Bhavik N. Patel, Imon Banerjee, Reza Arsanjani

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Patient-specific COVID-19 resource utilization prediction using fusion AI model by Amara Tariq, Leo Anthony Celi, Janice M. Newsome, Saptarshi Purkayastha, Neal Kumar Bhatia, Hari Trivedi, Judy Wawira Gichoya, Imon Banerjee

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Impact of multi-source data augmentation on performance of convolutional neural networks for abnormality classification in mammography by InChan Hwang, Hari Trivedi, Beatrice Brown-Mulry, Linglin Zhang, Vineela Nalla, Aimilia Gastounioti, Judy Gichoya, Laleh Seyyed-Kalantari, Imon Banerjee, MinJae Woo

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Artificial Intelligence-Based Prediction of Cardiovascular Diseases from Chest Radiography by Juan M. Farina, Milagros Pereyra, Ahmed K. Mahmoud, Isabel G. Scalia, Mohammed Tiseer Abbas, Chieh-Ju Chao, Timothy Barry, Chadi Ayoub, Imon Banerjee, Reza Arsanjani

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Toward co-design of an AI solution for detection of diarrheal pathogens in drinking water within resource-constrained contexts. by Rachel Hall-Clifford, Alejandro Arzu, Saul Contreras, Maria Gabriela Croissert Muguercia, Diana Ximena de Leon Figueroa, Maria Valeria Ochoa Elias, Anna Yunuen Soto Fernández, Amara Tariq, Imon Banerjee, Pamela Pennington

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Toward co-design of an AI solution for detection of diarrheal pathogens in drinking water within resource-constrained contexts by Rachel Hall-Clifford, Alejandro Arzu, Saul Contreras, Maria Gabriela Croissert Muguercia, Diana Ximena de Leon Figueroa, Maria Valeria Ochoa Elias, Anna Yunuen Soto Fernández, Amara Tariq, Imon Banerjee, Pamela Pennington

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Opportunistic assessment of ischemic heart disease risk using abdominopelvic computed tomography and medical record data: a multimodal explainable artificial intelligence approach by Juan M. Zambrano Chaves, Andrew L. Wentland, Arjun D. Desai, Imon Banerjee, Gurkiran Kaur, Ramon Correa, Robert D. Boutin, David J. Maron, Fatima Rodriguez, Alexander T. Sandhu, Daniel Rubin, Akshay S. Chaudhari, Bhavik N. Patel

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Author Correction: PENet—a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging by Shih-Cheng Huang, Tanay Kothari, Imon Banerjee, Chris Chute, Robyn L. Ball, Norah Borus, Andrew Huang, Bhavik N. Patel, Pranav Rajpurkar, Jeremy Irvin, Jared Dunnmon, Joseph Bledsoe, Katie Shpanskaya, Abhay Dhaliwal, Roham Zamanian, Andrew Y. Ng, Matthew P. Lungren

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PENet—a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging by Shih-Cheng Huang, Tanay Kothari, Imon Banerjee, Chris Chute, Robyn L. Ball, Norah Borus, Andrew Huang, Bhavik N. Patel, Pranav Rajpurkar, Jeremy Irvin, Jared Dunnmon, Joseph Bledsoe, Katie Shpanskaya, Abhay Dhaliwal, Roham Zamanian, Andrew Y. Ng, Matthew P. Lungren

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An expandable informatics framework for enhancing central cancer registries with digital pathology specimens, computational imaging tools, and advanced mining capabilities by David J. Foran, Eric B. Durbin, Wenjin Chen, Evita Sadimin, Ashish Sharma, Imon Banerjee, Tahsin Kurc, Nan Li, Antoinette M. Stroup, Gerald Harris, Annie Gu, Maria Schymura, Rajarsi Gupta, Erich Bremer, Joseph Balsamo, Tammy DiPrima, Feiqiao Wang, Shahira Abousamra, Dimitris Samaras, Isaac Hands, Kevin Ward, Joel H. Saltz

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