Hyochul Lee
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Hyochul Lee has a total of 12 co-authors. Here are the top co-authors by number of shared publications:
- Seung Hong Choi
Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea
3 shared publications - Inpyeong Hwang
Department of Radiology, Seoul National University Hospital, Seoul, Korea
2 shared publications - Joon Jang
Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Republic of Korea
2 shared publications Jung Hyun Park
Department of Radiology, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul, Republic of Korea
2 shared publications- Junhyeok Lee
Interdisciplinary Program in Cancer Biology, Seoul National University College of Medicine, Seoul, Republic of Korea
2 shared publications - Kyu Sung Choi
Department of Radiology, Seoul National University Hospital, Seoul, Republic of Korea
2 shared publications
Latest Publications
- 13 September 2025
- Published by Elsevier in Computers in Biology and Medicine
- Vol. 197 (Pt B) , 111036
ST-SRPerf: Continuous spatiotemporal representation for perfusion MRI super-resolution through neural ODE and implicit neural representation
- 13 September 2025
- Published by Elsevier in Computers in Biology and Medicine
- Vol. 197 (Pt B) , 111036
ST-SRPerf: Continuous spatiotemporal representation for perfusion MRI super-resolution through neural ODE and implicit neural representation
- 1 May 2025
- Published by Radiological Society of North America (RSNA) in Radiology: Artificial Intelligence
- Vol. 7 (3) , e240507
Unsupervised Deep Learning for Blood-Brain Barrier Leakage Detection in Diffuse Glioma Using Dynamic Contrast-enhanced MRI
An unsupervised learning framework detected blood-brain barrier leakage without pharmacokinetic models and arterial input function and distinguished between different tissue types within tumors, offering potential to improve diffuse glioma diagnosis.
- 1 May 2025
- Published by Radiological Society of North America (RSNA) in Radiology: Artificial Intelligence
- Vol. 7 (3) , e240507
Unsupervised Deep Learning for Blood-Brain Barrier Leakage Detection in Diffuse Glioma Using Dynamic Contrast-enhanced MRI
An unsupervised learning framework detected blood-brain barrier leakage without pharmacokinetic models and arterial input function and distinguished between different tissue types within tumors, offering potential to improve diffuse glioma diagnosis.
- Open Access
- 1 January 2023
- Published by XMLink in Investigative Magnetic Resonance Imaging
- Vol. 27 (4) , 196-207
Glymphatic Magnetic Resonance Imaging: Part I—Methodologies for Evaluation of the Glymphatic System
Lee H, et al. Investig Magn Reson Imaging. 2023 Dec;27(4):196-207. https://doi.org/10.13104/imri.2023.0031
- 1 January 2023
- Published by XMLink in Investigative Magnetic Resonance Imaging
- Vol. 27 (4) , 196-207
Open AccessGlymphatic Magnetic Resonance Imaging: Part I—Methodologies for Evaluation of the Glymphatic System
Lee H, et al. Investig Magn Reson Imaging. 2023 Dec;27(4):196-207. https://doi.org/10.13104/imri.2023.0031
- Open Access
- 1 January 2023
- Published by XMLink in Investigative Magnetic Resonance Imaging
- Vol. 27 (4) , 208-220
Glymphatic Magnetic Resonance Imaging: Part II—Applications in Sleep and Neurodegenerative Diseases
Lee H, et al. Investig Magn Reson Imaging. 2023 Dec;27(4):208-220. https://doi.org/10.13104/imri.2023.0032
- 1 January 2023
- Published by XMLink in Investigative Magnetic Resonance Imaging
- Vol. 27 (4) , 208-220
Open AccessGlymphatic Magnetic Resonance Imaging: Part II—Applications in Sleep and Neurodegenerative Diseases
Lee H, et al. Investig Magn Reson Imaging. 2023 Dec;27(4):208-220. https://doi.org/10.13104/imri.2023.0032