Donghyun Kim
Orcid: 0000-0002-6717-7770Affiliations:
- Yonsei University, Department of Electrical and Electronic Engineering, College of Engineering, Seoul, Korea
- Stanford University, CA, USA (PhD 2003)
According to our database1,
Donghyun Kim
authored at least 14 papers
between 2017 and 2023.
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Bibliography
2023
A single stage knowledge distillation network for brain tumor segmentation on limited MR image modalities.
Comput. Methods Programs Biomed., October, 2023
A knowledge interaction learning for multi-echo MRI motion artifact correction towards better enhancement of SWI.
Comput. Biol. Medicine, February, 2023
Toward Automated Detection of Microbleeds with Anatomical Scale Localization: A Complete Clinical Diagnosis Support Using Deep Learning.
CoRR, 2023
2022
Improved Multi-Echo Gradient-Echo-Based Myelin Water Fraction Mapping Using Dimensionality Reduction.
IEEE Trans. Medical Imaging, 2022
Stacked U-Nets with self-assisted priors towards robust correction of rigid motion artifact in brain MRI.
NeuroImage, 2022
Cerebral Microbleeds Detection Using a 3D Feature Fused Region Proposal Network with Hard Sample Prototype Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
A single-stage detector of cerebral microbleeds using 3D feature fused region proposal network (FFRP-Net).
Proceedings of the 4th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2022
2021
3D Multi-Scale Residual Network Toward Lacunar Infarcts Identification From MR Images With Minimal User Intervention.
IEEE Access, 2021
3D CMM-Net with Deeper Encoder for Semantic Segmentation of Brain Tumors in BraTS2021 Challenge.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021
2020
Blind Source Separation for Myelin Water Fraction Mapping Using Multi-Echo Gradient Echo Imaging.
IEEE Trans. Medical Imaging, 2020
Multiple skin lesions diagnostics via integrated deep convolutional networks for segmentation and classification.
Comput. Methods Programs Biomed., 2020
Stenosis Detection From Time-of-Flight Magnetic Resonance Angiography via Deep Learning 3D Squeeze and Excitation Residual Networks.
IEEE Access, 2020
A Two Cascaded Network Integrating Regional-based YOLO and 3D-CNN for Cerebral Microbleeds Detection.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
2017
Fast Spin Echo Imaging-Based Electric Property Tomography With K-Space Weighting via ${T}_{2}$ Relaxation (rEPT).
IEEE Trans. Medical Imaging, 2017