Publications
Amara Tariq, Saptarshi Purkayastha, Geetha Priya Padmanaban, Elizabeth Krupinski, Hari Trivedi, Imon Banerjee, Judy Wawira Gichoya.
Journal of the American College of Radiology , vol. 17(11), p. 2020
Mohammed Ali Al-Garadi, Yuan-Chi Yang, Sahithi Lakamana, Jie Lin, Sabrina Li, Angel Xie, Whitney Hogg-Bremer, Mylin Torres, Imon Banerjee, Abeed Sarker
International Conference on Artificial Intelligence in Medicine, Springer, 2020, pp. 100--110
Imon Banerjee, Luis de Sisternes, Joelle A Hallak, Theodore Leng, Aaron Osborne, Philip J Rosenfeld, Giovanni Gregori, Mary Durbin, Daniel Rubin
Scientific Reports, Nature Publishing Group, 2020, pp. 1--16
Was there COVID-19 back in 2012? Challenge for AI in Diagnosis with Similar Indications
Imon Banerjee, Priyanshu Sinha, Saptarshi Purkayastha, Nazanin Mashhaditafreshi, Amara Tariq, Jiwoong Jeong, Hari Trivedi, Judy W Gichoya
arXiv preprint arXiv:2006.13262, 2020
Phenotyping severity of patient-centered outcomes using clinical notes: A prostate cancer use case
Selen Bozkurt, Rohan Paul, Jean Coquet, Ran Sun, Imon Banerjee, James D Brooks, Tina Hernandez-Boussard
Learning health systems, Wiley Online Library, 2020, pp. e10237
Shih-Cheng Huang, Tanay Kothari, Imon Banerjee, Chris Chute, Robyn L Ball, Norah Borus, Andrew Huang, Bhavik N Patel, Pranav Rajpurkar, Jeremy Irvin, others
npj Digital Medicine, Nature Publishing Group, 2020, pp. 1--9
Shih-Cheng Huang, Anuj Pareek, Saeed Seyyedi, Imon Banerjee, Matthew P Lungren
NPJ digital medicine, Nature Publishing Group, 2020, pp. 1--9
Yasmin Karimi, Douglas W Blayney, Allison W Kurian, Daniel Rubin, Imon Banerjee
American Society of Clinical Oncology, 2020
Developing and Deploying Machine Learning Pipelines against Real-Time Image Streams from the PACS
Pradeeban Kathiravelu, Ashish Sharma, Saptarshi Purkayastha, Priyanshu Sinha, Alexandre Cadrin-Chenevert, Imon Banerjee, Judy Wawira Gichoya
arXiv preprint arXiv:2004.07965, 2020
Scott J Lee, Brent D Weinberg, Ashwani Gore, Imon Banerjee
Journal of Digital Imaging, Springer, 2020
Generalization of Deep Convolutional Neural Networks--A Case-study on Open-source Chest Radiographs
Nazanin Mashhaditafreshi, Amara Tariq, Judy Wawira Gichoya, Imon Banerjee
arXiv preprint arXiv:2007.05786, 2020
Beyond the artificial intelligence hype: what lies behind the algorithms and what we can achieve
Marly van Assen, Imon Banerjee, Carlo N De Cecco
Journal of Thoracic Imaging, LWW, 2020, pp. S3--S10
Cancer Treatment Classification with Electronic Medical Health Records
Jiaming Zeng, Imon Banerjee, Michael Gensheimer, Daniel Rubin
AAAI (Student Abstract), 2020, pp. 18--9
J. Raymond Geis, Adrian P. Brady, Carol C. Wu, Jack Spencer, Erik Ranschaert, Jacob L. Jaremko, Steve G. Langer, Andrea Borondy Kitts, Judy Birch, William F. Shields, Robert van den Hoven van Genderen, Elmar Kotter, Judy Wawira Gichoya, Tessa S. Cook, Matthew B. Morgan, An Tang, Nabile M. Safdar, Marc Kohli
Journal of The American College of Radiology, vol. 16(11), 2019 Sep 31, pp. 1516-1521
Machine Learning for the Interventional Radiologist
Ryan D. Meek, Matthew P. Lungren, Judy W. Gichoya
American Journal of Roentgenology, vol. 213(4), 2019 Aug 30, pp. 782-784
Brianna L. Vey, Judy W. Gichoya, Adam Prater, C. Matthew Hawkins
Journal of The American College of Radiology, vol. 16(9), 2019 Jul 31, pp. 1273-1278
Valeria Makeeva, Judy Gichoya, C. Matthew Hawkins, Alexander J. Towbin, Marta Heilbrun, Adam Prater
Journal of The American College of Radiology, vol. 16(9), 2019 Jul 31, pp. 1254-1258
Write Code, Save Lives: How a Community Uses Open Innovation to Address a Societal Challenge
Jonathan Sims, Judy Gichoya, Gaurab Bhardwaj, Marcel Bogers
R & D Management, vol. 49(3), 2019 Apr 31, pp. 369-382
Automatic Labeling of Special Diagnostic Mammography Views from Images and DICOM Headers
Dmytro S. Lituiev, Hari Trivedi, Maryam Panahiazar, Beau Norgeot, Youngho Seo, Benjamin L. Franc, Roy Harnish, Michael Kawczynski, Dexter Hadley
Journal of Digital Imaging, vol. 32(2), 2019 Feb 31, pp. 228-233
Large Scale Semi-Automated Labeling of Routine Free-Text Clinical Records for Deep Learning
Hari M. Trivedi, Maryam Panahiazar, April Liang, Dmytro Lituiev, Peter Chang, Jae Ho Sohn, Yunn-Yi Chen, Benjamin L. Franc, Bonnie Joe, Dexter Hadley
Journal of Digital Imaging, vol. 32(1), 2019 31, pp. 30-37
Saptarshi Purkayastha, Roshini Allam, Pallavi Maity, Judy W. Gichoya
Healthcare Informatics Research, vol. 25(2), 2018 Nov 31, pp. 89-98
Judy W. Gichoya, Marc D. Kohli, Larry Ivange, Teri S. Schmidt, Saptarshi Purkayastha
Journal of Digital Imaging, vol. 31(3), 2018 Apr 31, pp. 361-370
Hari Trivedi, Joseph Mesterhazy, Benjamin Laguna, Thienkhai Vu, Jae Ho Sohn
Journal of Digital Imaging, vol. 31(2), 2018 Feb 31, pp. 245-251
Patricia Balthazar, Peter Harri, Adam Prater, Nabile M. Safdar
Journal of The American College of Radiology, vol. 15(3), 2018 31, pp. 580-586
Machine Learning in Radiology: Applications Beyond Image Interpretation
Paras Lakhani, Adam B. Prater, R. Kent Hutson, Kathy P. Andriole, Keith J. Dreyer, Jose Morey, Luciano M. Prevedello, Toshi J. Clark, J. Raymond Geis, Jason N. Itri, C. Matthew Hawkins
Journal of The American College of Radiology, vol. 15(2), 2017 Sep 31, pp. 350-359
Judy Wawira Gichoya, Marc D Kohli, Paul Haste, Elizabeth Mills Abigail, Matthew S Johnson
Journal of Digital Imaging, vol. 30(5), 2017 Aug 30, pp. 602-608
Using cognitive fit theory to evaluate patient understanding of medical images
Judy Wawira Gichoya, Mohammad Alarifi, Ria Bhaduri, Bilal Tahir, Saptarshi Purkayastha
embc, International Conference of the IEEE Engineering in Medicine and Biology Society, 2017 May 30, pp. 2430-2433
Suranga Nath Kasthurirathne, Brian E. Dixon, Judy Gichoya, Huiping Xu, Yuni Xia, Burke W. Mamlin, Shaun J. Grannis
Journal of Biomedical Informatics, 2017 Mar 30, pp. 160-176
Adam Prater, Meredith Bowen, Emily Pavich, C. Matthew Hawkins, Nabile Safdar, Jack Fountain, Aaron Anderson, Mike Frankel, Seena Dehkharghani
Journal of The American College of Radiology, vol. 14(2), 2017 31, pp. 231-234
Providers’ Access of Imaging Versus Only Reports: A System Log File Analysis
Hye-Young Jung, Judy Wawira Gichoya, Joshua R. Vest
Journal of The American College of Radiology, vol. 14(2), 2017 31, pp. 217-223
Big Data and the Future of Radiology Informatics
Akash P. Kansagra, John-Paul J. Yu, Arindam R. Chatterjee, Leon Lenchik, Daniel S. Chow, Adam B. Prater, Jean Yeh, Ankur M. Doshi, C. Matthew Hawkins, Marta E. Heilbrun, Stacy E. Smith, Martin Oselkin, Pushpender Gupta, Sayed Ali
Academic Radiology, vol. 23(1), 2015 Nov 31, pp. 30-42
Judy Gichoya, Roland E. Gamache, Daniel J. Vreeman, Brian E. Dixon, John T. Finnell, Shaun Grannis
amia, American Medical Informatics Association Annual Symposium, 2011 Nov 31, pp. 1229-1236