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Margin-Aware Intra-Class Novelty Identification for Medical Images


Jul 31, 2021
Xiaoyuan Guo, Judy Wawira Gichoya, Saptarshi Purkayastha, Imon Banerjee

* 35 pages, 8 figures 

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Reading Race: AI Recognises Patient's Racial Identity In Medical Images


Jul 21, 2021
Imon Banerjee, Ananth Reddy Bhimireddy, John L. Burns, Leo Anthony Celi, Li-Ching Chen, Ramon Correa, Natalie Dullerud, Marzyeh Ghassemi, Shih-Cheng Huang, Po-Chih Kuo, Matthew P Lungren, Lyle Palmer, Brandon J Price, Saptarshi Purkayastha, Ayis Pyrros, Luke Oakden-Rayner, Chima Okechukwu, Laleh Seyyed-Kalantari, Hari Trivedi, Ryan Wang, Zachary Zaiman, Haoran Zhang, Judy W Gichoya

* Submitted to the Lancet 

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Generalization of Deep Convolutional Neural Networks -- A Case-study on Open-source Chest Radiographs


Jul 11, 2020
Nazanin Mashhaditafreshi, Amara Tariq, Judy Wawira Gichoya, Imon Banerjee


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Was there COVID-19 back in 2012? Challenge for AI in Diagnosis with Similar Indications


Jun 23, 2020
Imon Banerjee, Priyanshu Sinha, Saptarshi Purkayastha, Nazanin Mashhaditafreshi, Amara Tariq, Jiwoong Jeong, Hari Trivedi, Judy W. Gichoya


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Developing and Deploying Machine Learning Pipelines against Real-Time Image Streams from the PACS


Apr 20, 2020
Pradeeban Kathiravelu, Ashish Sharma, Saptarshi Purkayastha, Priyanshu Sinha, Alexandre Cadrin-Chenevert, Imon Banerjee, Judy Wawira Gichoya

* Preprint submitted to Machine Learning for Healthcare 2020 (under review) 

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A Deep-learning Approach for Prognosis of Age-Related Macular Degeneration Disease using SD-OCT Imaging Biomarkers


Feb 27, 2019
Imon Banerjee, Luis de Sisternes, Joelle Hallak, Theodore Leng, Aaron Osborne, Mary Durbin, Daniel Rubin


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Abstract: Probabilistic Prognostic Estimates of Survival in Metastatic Cancer Patients


Jul 13, 2018
Imon Banerjee, Michael Francis Gensheimer, Douglas J. Wood, Solomon Henry, Daniel Chang, Daniel L. Rubin

* AMIA Informatics Conference 2018 

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A Scalable Machine Learning Approach for Inferring Probabilistic US-LI-RADS Categorization


Jun 15, 2018
Imon Banerjee, Hailey H. Choi, Terry Desser, Daniel L. Rubin

* AMIA Annual Symposium 2018 (accepted) 

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Intelligent Word Embeddings of Free-Text Radiology Reports


Nov 19, 2017
Imon Banerjee, Sriraman Madhavan, Roger Eric Goldman, Daniel L. Rubin

* AMIA Annual Symposium 2017 

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Inferring Generative Model Structure with Static Analysis


Sep 07, 2017
Paroma Varma, Bryan He, Payal Bajaj, Imon Banerjee, Nishith Khandwala, Daniel L. Rubin, Christopher Ré

* NIPS 2017 

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Computerized Multiparametric MR image Analysis for Prostate Cancer Aggressiveness-Assessment


Dec 01, 2016
Imon Banerjee, Lewis Hahn, Geoffrey Sonn, Richard Fan, Daniel L. Rubin

* NIPS 2016 Workshop on Machine Learning for Health (NIPS ML4HC) 

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