Published on in Vol 23, No 9 (2021): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/29678, first published .
A Fully Automated Analytic System for Measuring Endolymphatic Hydrops Ratios in Patients With Ménière Disease via Magnetic Resonance Imaging: Deep Learning Model Development Study

A Fully Automated Analytic System for Measuring Endolymphatic Hydrops Ratios in Patients With Ménière Disease via Magnetic Resonance Imaging: Deep Learning Model Development Study

A Fully Automated Analytic System for Measuring Endolymphatic Hydrops Ratios in Patients With Ménière Disease via Magnetic Resonance Imaging: Deep Learning Model Development Study

Chae Jung Park   1 * , MSc ;   Young Sang Cho   2 * , MD ;   Myung Jin Chung   3 , MD, PhD ;   Yi-Kyung Kim   3 , MD ;   Hyung-Jin Kim   3 , MD, PhD ;   Kyunga Kim   1, 4 , PhD ;   Jae-Wook Ko   5 , MD, PhD ;   Won-Ho Chung   2 * , MD, PhD ;   Baek Hwan Cho   6 , PhD

1 Department of Digital Health, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University, Seoul, Republic of Korea

2 Department of Otorhinolaryngology-Head and Neck Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea

3 Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea

4 Biomedical Statistics Center, Data Science Research Institute, Research Institute for Future Medicine, Samsung Medical Center, Seoul, Republic of Korea

5 Department of Clinical Pharmacology and Therapeutics, Samsung Medical Center, Seoul, Republic of Korea

6 Department of Medical Device Management and Research, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University, Seoul, Republic of Korea

*these authors contributed equally

Corresponding Author:

  • Baek Hwan Cho, PhD
  • Department of Medical Device Management and Research
  • Samsung Advanced Institute for Health Sciences & Technology
  • Sungkyunkwan University
  • 81 Irwon-ro, Gangnam-gu
  • Seoul, 06355
  • Republic of Korea
  • Phone: 82 234100885
  • Email: baekhwan.cho@samsung.com