Author

Kanghyun Ryu

Observed names: K. Ryu, Kang-Hyun Ryu, Ryu, Kanghyun

Institutions: Korean Association Of Science and Technology Studies, Korea Institute of Science and Technology, Korea University of Science and Technology

Observed institutions: German Cancer Research Center, Gyeongsang National University, Yonsei University, Stanford Medicine, Korean Association Of Science and Technology Studies, Gyeongsang National University Changwon Hospital, Korea Institute of Science and Technology, Korea University of Science and Technology, Stanford University

ORCID: 0000-0002-6075-5590

Observed ORCID: 0000-0002-6075-5590

OpenAlex ID: A5035548631

Reconfigurable heterogeneous integration using stackable chips with embedded artificial intelligence

2022 · Chanyeol Choi, Hyunseok Kim, et al. · Nature Electronics · 145

Deep Learning in MR Image Processing

2019 · Doohee Lee, Jingu Lee, et al. · Investigative Magnetic Resonance Imaging · 50

Data‐driven synthetic MRI FLAIR artifact correction via deep neural network

2019 · Kanghyun Ryu, Yoonho Nam, et al. · Journal of Magnetic Resonance Imaging · 29

FLAIR MRI sequence synthesis using squeeze attention generative model for reliable brain tumor segmentation

2024 · Abdulkhalek Al-Fakih, Abdullah Shazly, et al. · Alexandria Engineering Journal · 22

Regulation of root patterns in mammalian teeth

2017 · Hyejin Seo, Jinsun Kim, et al. · Scientific Reports · 21

Artificial neural network for multi‐echo gradient echo–based myelin water fraction estimation

2020 · Soozy Jung, Hongpyo Lee, et al. · Magnetic Resonance in Medicine · 20

Synthesizing T1 weighted MPRAGE image from multi echo GRE images via deep neural network

2019 · Kanghyun Ryu, Na-Young Shin, et al. · Magnetic Resonance Imaging · 20

Improving phase‐based conductivity reconstruction by means of deep learning–based denoising of phase data for 3T MRI

2021 · Kyu‐Jin Jung, Stefano Mandija, et al. · Magnetic Resonance in Medicine · 19

Stenosis Detection From Time-of-Flight Magnetic Resonance Angiography via Deep Learning 3D Squeeze and Excitation Residual Networks

2020 · Hunjin Chung, Koung Mi Kang, et al. · IEEE Access · 19

Biomedical image analysis competitions: The state of current participation practice

2022 · Eisenmann, Matthias, Reinke, Annika, et al. · arXiv (Cornell University) · 18

Multi-planar 2.5D U-Net for image quality enhancement of dental cone-beam CT

2023 · Kanghyun Ryu, Chena Lee, et al. · PLoS ONE · 17

Estimating age-related changes in in vivo cerebral magnetic resonance angiography using convolutional neural network

2019 · Yoonho Nam, Jinhee Jang, et al. · Neurobiology of Aging · 16

Improving high frequency image features of deep learning reconstructions via k‐space refinement with null‐space kernel

2022 · Kanghyun Ryu, Cagan Alkan, et al. · Magnetic Resonance in Medicine · 9

Accelerated multicontrast reconstruction for synthetic MRI using joint parallel imaging and variable splitting networks

2021 · Kanghyun Ryu, Jae‐Hun Lee, et al. · Medical Physics · 9

Why is the Winner the Best?

2023 · M. Eisenmann, A. Reinke, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 7

Validation of Deep Learning-Based Artifact Correction on Synthetic FLAIR Images in a Different Scanning Environment

2020 · Kyeong Hwa Ryu, Hye Jin Baek, et al. · Journal of Clinical Medicine · 7

K-space refinement in deep learning MR reconstruction via regularizing scan specific SPIRiT-based self consistency

2021 · Kanghyun Ryu, Cagan Alkan, et al. · IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) · 6

Multi‐echo GRE ‐based conductivity imaging using K alman phase estimation method

2018 · Kanghyun Ryu, Jaewook Shin, et al. · Magnetic Resonance in Medicine · 6

MRI Retrospective Respiratory Gating and Cardiac Sensing by CW Doppler Radar: A Feasibility Study

2024 · Wonje Lee, Kanghyun Ryu, et al. · IEEE Transactions on Biomedical Engineering · 5

JUST‐Net : Jointly unrolled cross‐domain optimization based spatio‐temporal reconstruction network for accelerated 3D myelin water imaging

2024 · Jae‐Hun Lee, Jae‐Yoon Kim, et al. · Magnetic Resonance in Medicine · 4

Accelerated 3D myelin water imaging using joint spatio‐temporal reconstruction

2022 · Jae‐Hun Lee, Jaeuk Yi, et al. · Medical Physics · 4

Comprehensive Review of Data-Driven Degradation Diagnosis of Lithium-Ion Batteries through Electrochemical and Multi-scale Imaging Analyses

2024 · Cheolhwi Park, Taehun Kim, et al. · Korean Journal of Chemical Engineering · 3

Regional-aware and sequence-informed multi-decoder network for robust brain glioma segmentation in multi-parametric MRI

2025 · Abbas Mohamed Rezk, Abdulkhalek Al-Fakih, et al. · Computers in Biology and Medicine · 2

Learning robust brain tumor segmentation under label corruption and data scarcity

2025 · Abdulkhalek Al-Fakih, Abbas Mohamed Rezk, et al. · Engineering Applications of Artificial Intelligence · 2

Meta-learning guidance for robust medical image synthesis: Addressing the real-world misalignment and corruptions

2025 · Jaehun Lee, Daniel Kim, et al. · Computerized Medical Imaging and Graphics · 2

Works count: 61

Citation count: 471

H-index: 12

I10-index: 12