Junho Kim
Embedded Files
Research Interests
Object detection
Image synthesis
Segmentation
Diffusion models
Medical image process
Education
Mar.2021~Feb.2026 Intergrated M.S. & Ph.D., (Electrical and Electronic Engineering)
Yonsei University, Seoul, Republic of Korea
Mar.2015~Feb.2021 B.S., (Information and Communication Engineering)
Inha University, Incheon, Republic of Korea
Publications
Toward automated detection of microbleeds with anatomical scale localization using deep learning
Medical Image Analysis. 2025
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
[paper]
Real-world application of a 3D deep learning model for detecting and localizing cerebral microbleeds
Acta Neurochirurgica. 2024
So Yeon Won, Jun-Ho Kim, Changsoo Woo, Dong-Hyun Kim, Keun Young Park, Eung Yeop Kim, Sun-Young Baek, Hyun Jin Han & Beomseok Sohn
[paper]
Detection of cerebral microbleeds in MR images using a single‐stage triplanar ensemble detection network (TPE‐Det)
Journal of Magnetic Resonance Imaging. 2023
Haejoon Lee , Jun-Ho Kim, Seul Lee, Kyu-Jin Jung, Woo-Ram Kim, Young Noh, Eung Yeop Kim, Koung Mi Kang, Chul-Ho Sohn, Dong Young Lee, Mohammed A. Al-masni, Dong-Hyun Kim
[paper]
Conference papers
Cerebral Microbleeds Detection Using a 3D Feature Fused Region Proposal Network with Hard Sample Prototype Learning
MICCAI 2022
Jun-Ho Kim, Mohammed A. Al-masni, Seul Lee, Haejoon Lee, Dong-Hyun Kim
[paper]
Patents
특허명 (특허출원): 딥러닝을 활용한 대뇌 미세출혈 탐지 및 해부학적 위치 지정 방법
특허번호: 10-2025-0018871
Technology transfer
기술명: 딥러닝을 활용한 대뇌 미세출혈 탐지 및 해부학적 위치 지정 방법 기술
기술 양수인: (주)딥노이드
Awards
연세대학교 대학원 혁신 우수논문상
수상 논문: Toward automated detection of microbleeds with anatomical scale localization using deep learning
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