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 , KR

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

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

4 Biomedical Statistics Center, Data Science Research Institute, Research Institute for Future Medicine, Samsung Medical Center, Seoul , KR

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

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

*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
  • KR
  • Phone: 82 234100885
  • Email: baekhwan.cho@samsung.com