Published on in Vol 22, No 12 (2020): December
![De-Identification of Facial Features in Magnetic Resonance Images: Software Development Using Deep Learning Technology De-Identification of Facial Features in Magnetic Resonance Images: Software Development Using Deep Learning Technology](https://asset.jmir.pub/assets/46ba35e11ca47fa7068a26366e8a1c55.png 480w,https://asset.jmir.pub/assets/46ba35e11ca47fa7068a26366e8a1c55.png 960w,https://asset.jmir.pub/assets/46ba35e11ca47fa7068a26366e8a1c55.png 1920w,https://asset.jmir.pub/assets/46ba35e11ca47fa7068a26366e8a1c55.png 2500w)
1 Department of Medical Science, Asan Medical Institute of Convergence Science and Technology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
2 Human Research Protection Center, Asan Institute of Life Sciences, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
3 Division of Cardiology, Department of Internal Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
4 Department of Information Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
5 Department of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
*these authors contributed equally