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ORCIDDonghyun Kim 0008
Person information
- affiliation: Yonsei University, Department of Electrical and Electronic Engineering, College of Engineering, Seoul, Korea
- affiliation (PhD 2003): Stanford University, CA, USA
Other persons with the same name
- Donghyun Kim (aka: DongHyun Kim, Dong-Hyun Kim, Dong Hyun Kim) — disambiguation page
- Donghyun Kim 0001
![[0000-0002-4845-9369]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-4845-9369")
— Georgia State University, Atlanta, GA, USA (and 4 more) - Donghyun Kim 0002 — Massachusetts Institute of Technology, Cambridge, MA, USA (and 1 more)
- Donghyun Kim 0003 — Hanwha Systems Co., Ltd., Yongin Research and Development Center, South Korea
- Donghyun Kim 0004 — Korea Advanced Institute of Science and Technology (KAIST), Electrical Engineering Department, Daejeon, South Korea
- Donghyun Kim 0005 (aka: Dong Hyun Kim 0005) — Sungkyunkwan University, Department of Smart Factory Convergence, Suwon, Republic of Korea
- Donghyun Kim 0006 — MIT-IBM Watson AI Lab (and 1 more)
- Donghyun Kim 0007 — NAVER Corporation, Seongnam, South Korea (and 2 more)
- Donghyun Kim 0009 — Hanyang University, Department of Electrical Engineering, Ansan, Korea
- Donghyun Kim 0010 (aka: Dong Hyun Kim 0010) — Yonsei University, Department of Electrical and Electronic Engineering, Seoul, Korea
- Donghyun Kim 0012 (aka: Dong Hyun Kim 0012) — NAVER Corp, Seongnam, South Korea
- Donghyun Kim 0013 — Yonsei University, School of Electrical and Electronic Engineering, Seoul, Korea (and 2 more)
- Donghyun Kim 0014 — Qualcomm, Inc., San Diego, CA, USA (and 1 more)
- Donghyun Kim 0016 — University of Illinois Urbana-Champaign, USA
- Dong-Hyun Kim 0011 (aka: Dong Hyun Kim 0011) — Pusan National University, Department of Information Convergence Engineering, Busan, Korea
- Dong-Hyun Kim 0015 — Hyundai Motor Company, Research and Development Division, Hwaseong, Korea (and 1 more)
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2020 – today
- 2025
[j11]Jun-Ho Kim, Young Noh, Haejoon Lee, Seul Lee, Woo-Ram Kim, Koung Mi Kang, Eung-Yeop Kim, Mohammed A. Al-masni, Donghyun Kim:
Toward automated detection of microbleeds with anatomical scale localization using deep learning. Medical Image Anal. 101: 103415 (2025)- 2024
- [j10]Siyun Jung, Soohyun Jeon, Sung-Min Gho, Ho-Joon Lee, Kyu-Jin Jung, Dong-Hyun Kim:
Harmonic field extension for QSM with reduced spatial coverage using physics-informed generative adversarial network. NeuroImage 288: 120528 (2024) - [c5]Sunyoung Jung, Yoonseok Choi, Mohammed A. Al-masni, Minyoung Jung, Donghyun Kim:
Deformation-Aware Segmentation Network Robust to Motion Artifacts for Brain Tissue Segmentation Using Disentanglement Learning. MICCAI (9) 2024: 213-222 - 2023
- [j9]Mohammed A. Al-masni, Seul Lee, Abobakr Khalil Alshamiri, Sung-Min Gho, Young Hun Choi, Dong-Hyun Kim:
A knowledge interaction learning for multi-echo MRI motion artifact correction towards better enhancement of SWI. Comput. Biol. Medicine 153: 106553 (2023) - [j8]Yoonseok Choi, Mohammed A. Al-masni, Kyu-Jin Jung, Roh-Eul Yoo, Seong-Yeong Lee, Dong-Hyun Kim:
A single stage knowledge distillation network for brain tumor segmentation on limited MR image modalities. Comput. Methods Programs Biomed. 240: 107644 (2023) - [i2]Jun-Ho Kim, Young Noh, Haejoon Lee, Seul Lee, Woo-Ram Kim, Koung Mi Kang, Eung-Yeop Kim, Mohammed A. Al-masni, Dong-Hyun Kim:
Toward Automated Detection of Microbleeds with Anatomical Scale Localization: A Complete Clinical Diagnosis Support Using Deep Learning. CoRR abs/2306.13020 (2023) - 2022
- [j7]Mohammed A. Al-masni, Seul Lee, Jaeuk Yi, Sewook Kim, Sung-Min Gho, Young Hun Choi, Dong-Hyun Kim:
Stacked U-Nets with self-assisted priors towards robust correction of rigid motion artifact in brain MRI. NeuroImage 259: 119411 (2022) - [j6]Jae Eun Song, Dong-Hyun Kim:
Improved Multi-Echo Gradient-Echo-Based Myelin Water Fraction Mapping Using Dimensionality Reduction. IEEE Trans. Medical Imaging 41(1): 27-38 (2022) - [c4]Jun-Ho Kim, Mohammed A. Al-masni, Haejoon Lee, Yoon-Seok Choi, Dong-Hyun Kim:
A single-stage detector of cerebral microbleeds using 3D feature fused region proposal network (FFRP-Net). AICAS 2022: 1-4 - [c3]Jun-Ho Kim, Mohammed A. Al-masni, Seul Lee, Haejoon Lee, Dong-Hyun Kim:
Cerebral Microbleeds Detection Using a 3D Feature Fused Region Proposal Network with Hard Sample Prototype Learning. MICCAI (1) 2022: 452-460 - 2021
- [j5]Mohammed A. Al-Masni, Woo-Ram Kim, Eung-Yeop Kim, Young Noh, Dong-Hyun Kim:
3D Multi-Scale Residual Network Toward Lacunar Infarcts Identification From MR Images With Minimal User Intervention. IEEE Access 9: 11787-11797 (2021) - [c2]Yoonseok Choi, Mohammed A. Al-masni, Dong-Hyun Kim:
3D CMM-Net with Deeper Encoder for Semantic Segmentation of Brain Tumors in BraTS2021 Challenge. BrainLes@MICCAI (1) 2021: 333-343 - [i1]Mohammed A. Al-masni, Seul Lee, Jaeuk Yi, Sewook Kim, Sung-Min Gho, Young Hun Choi, Dong-Hyun Kim:
Stacked U-Nets with Self-Assisted Priors Towards Robust Correction of Rigid Motion Artifact in Brain MRI. CoRR abs/2111.06401 (2021) - 2020
- [j4]Hunjin Chung, Koung Mi Kang, Mohammed A. Al-Masni, Chul-Ho Sohn, Yoonho Nam, Kanghyun Ryu, Dong-Hyun Kim:
Stenosis Detection From Time-of-Flight Magnetic Resonance Angiography via Deep Learning 3D Squeeze and Excitation Residual Networks. IEEE Access 8: 43325-43335 (2020) - [j3]Mohammed A. Al-masni, Dong-Hyun Kim, Tae-Seong Kim:
Multiple skin lesions diagnostics via integrated deep convolutional networks for segmentation and classification. Comput. Methods Programs Biomed. 190: 105351 (2020) - [j2]Jae Eun Song, Jaewook Shin, Hongpyo Lee, Ho Joon Lee, Won-Jin Moon, Dong-Hyun Kim:
Blind Source Separation for Myelin Water Fraction Mapping Using Multi-Echo Gradient Echo Imaging. IEEE Trans. Medical Imaging 39(6): 2235-2245 (2020) - [c1]Mohammed A. Al-masni, Woo-Ram Kim, Eung-Yeop Kim, Young Noh, Dong-Hyun Kim:
A Two Cascaded Network Integrating Regional-based YOLO and 3D-CNN for Cerebral Microbleeds Detection. EMBC 2020: 1055-1058
2010 – 2019
- 2017
- [j1]Jaewook Shin, Min-Oh Kim, Sungmin Cho, Dong-Hyun Kim:
Fast Spin Echo Imaging-Based Electric Property Tomography With K-Space Weighting via ${T}_{2}$ Relaxation (rEPT). IEEE Trans. Medical Imaging 36(8): 1615-1625 (2017)
Coauthor Index
aka: Mohammed A. Al-Masni
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