“Five” Oral Presentations Accepted at C-MIMI 2019

 

GrayNet: A Versatile Base Model for Practical Deep Learning CT Applications
Myeongchan Kim, MD, Massachusetts General Hospital, Hyunkwang Lee, MS; Kyungdoo Song, MD; Sehyo Yune, MD, MPH, MBA; Poornima Ramaraj, MS; Choonsik Lee, PhD; Jinserk Baik, PhD; Synho Do, PhD

Distributed Single-model Training in Inter-institutional Collaboration without Exposing Each Dataset
Jinserk Baik, PhD, Massachusetts General Hospital
Myeongchan Kim, MD; Synho Do, PhD

An Explainable Deep-Learning for Detection and Classification of Pulmonary Tuberculosis
YiRang Shin, MS, Massachusetts General Hospital
Doyun Kim, PhD; Sehyo Yune, MD, MPH, MBA; Myeongchan Kim, MD;
Kyoungdoo Song, MD; Joo Won Chung, MD; Jin Kyem Kim, MD; Synho Do, PhD

Adaptive Transfer Learning between Two Detector Types of Mammograms via Generative Adversarial Network
Myeongchan Kim, MD, Massachusetts General Hospital
Sehyo Yune, MD, MPH, MBA; Jinserk Baik, PhD; Kyungdoo Song, MD; Joowon Chung, MD; Doyun Kim, PhD; Hyunkwang Lee, MS; Synho Do, PhD

A Comprehensive Deep Learning Model for Automated Classification of Chest Radiographs
Sehyo Yune, MD, MPH, MBA, Massachusetts General Hospital
Myeongchan Kim, MD; Doyun Kim, PhD; Allison Navarrett-Welton;
Kyoungdoo Song, MD, PhD; Joowon Chung, MD, PhD; Jin Kyem Kim, MD, Poornima Ramaraj, MS; Jinserk Baik, PhD; Synho Do, PhD

LMIC WebMaster • August 28, 2019


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