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Career

· PhD Student, UC Berkeley, Mechanical Engineering Department2024–

Publications (30)

Deep Learning in MR Image Processing
Investigative Magnetic Resonance Imaging · 2019
47
cited
Biomedical image analysis competitions: The state of current participation practice
arXiv.org · 2022
32
cited
Why is the Winner the Best?
Computer Vision and Pattern Recognition · 2023
32
cited
Data‐driven synthetic MRI FLAIR artifact correction via deep neural network
Journal of Magnetic Resonance Imaging · 2019
22
cited
Synthesizing T1 weighted MPRAGE image from multi echo GRE images via deep neural network.
Magnetic Resonance Imaging · 2019
20
cited
Regulation of root patterns in mammalian teeth
Scientific Reports · 2017
17
cited
Stenosis Detection From Time-of-Flight Magnetic Resonance Angiography via Deep Learning 3D Squeeze and Excitation Residual Networks
IEEE Access · 2020
16
cited
Artificial neural network for multi‐echo gradient echo–based myelin water fraction estimation
Magnetic Resonance in Medicine · 2020
15
cited
Estimating age-related changes in in vivo cerebral magnetic resonance angiography using convolutional neural network
Neurobiology of Aging · 2019
14
cited
CurricuLLM: Automatic Task Curricula Design for Learning Complex Robot Skills Using Large Language Models
IEEE International Conference on Robotics and Automation · 2024
13
cited
Improving phase‐based conductivity reconstruction by means of deep learning–based denoising of B1+ phase data for 3T MRI
Magnetic Resonance in Medicine · 2021
12
cited
DDAT: Diffusion Policies Enforcing Dynamically Admissible Robot Trajectories
Robotics · 2025
11
cited
Multi-planar 2.5D U-Net for image quality enhancement of dental cone-beam CT
PLoS ONE · 2023
11
cited
Improving high frequency image features of deep learning reconstructions via k‐space refinement with null‐space kernel
Magnetic Resonance in Medicine · 2022
7
cited
K-space refinement in deep learning MR reconstruction via regularizing scan specific SPIRiT-based self consistency
2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) · 2021
7
cited
Accelerated multi-contrast reconstruction for synthetic MRI using joint parallel imaging and variable splitting networks.
Medical Physics (Lancaster) · 2021
5
cited
Multi‐echo GRE‐based conductivity imaging using Kalman phase estimation method
Magnetic Resonance in Medicine · 2018
5
cited
Validation of Deep Learning-Based Artifact Correction on Synthetic FLAIR Images in a Different Scanning Environment
Journal of Clinical Medicine · 2020
5
cited
Accelerated 3D myelin water imaging using joint spatio-temporal reconstruction.
Medical Physics (Lancaster) · 2022
3
cited
Accelerating High b-Value Diffusion-Weighted MRI Using a Convolutional Recurrent Neural Network (CRNN-DWI)
Bioengineering · 2023
2
cited
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Kanghyun Ryu | Researcher Profile | Sotabase | Sotabase