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Report of the Medical Image De-Identification (MIDI) Task Group -- Best Practices and Recommendations


Apr 01, 2023
David A. Clunie, Adam Flanders, Adam Taylor, Brad Erickson, Brian Bialecki, David Brundage, David Gutman, Fred Prior, J Anthony Seibert, John Perry, Judy Wawira Gichoya, Justin Kirby, Katherine Andriole, Luke Geneslaw, Steve Moore, TJ Fitzgerald, Wyatt Tellis, Ying Xiao, Keyvan Farahani

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* 131 pages 

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An Overview and Case Study of the Clinical AI Model Development Life Cycle for Healthcare Systems


Mar 26, 2020
Charles Lu, Julia Strout, Romane Gauriau, Brad Wright, Fabiola Bezerra De Carvalho Marcruz, Varun Buch, Katherine Andriole

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* Accepted for oral presentation at ICLR 2020, AI for Affordable Healthcare workshop 

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Semi-Supervised Natural Language Approach for Fine-Grained Classification of Medical Reports


Nov 14, 2019
Neil Deshmukh, Selin Gumustop, Romane Gauriau, Varun Buch, Bradley Wright, Christopher Bridge, Ram Naidu, Katherine Andriole, Bernardo Bizzo

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* Accepted for IEEE publication & presented at MIT URTC 

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Medical Image Synthesis for Data Augmentation and Anonymization using Generative Adversarial Networks


Sep 13, 2018
Hoo-Chang Shin, Neil A Tenenholtz, Jameson K Rogers, Christopher G Schwarz, Matthew L Senjem, Jeffrey L Gunter, Katherine Andriole, Mark Michalski

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* Accepted for 2018 Workshop on Simulation and Synthesis in Medical Imaging - SASHIMI2018 

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Fully-Automated Analysis of Body Composition from CT in Cancer Patients Using Convolutional Neural Networks


Aug 11, 2018
Christopher P. Bridge, Michael Rosenthal, Bradley Wright, Gopal Kotecha, Florian Fintelmann, Fabian Troschel, Nityanand Miskin, Khanant Desai, William Wrobel, Ana Babic, Natalia Khalaf, Lauren Brais, Marisa Welch, Caitlin Zellers, Neil Tenenholtz, Mark Michalski, Brian Wolpin, Katherine Andriole

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