Biography
Junmo Kwon is a Postdoctoral Research Fellow at the Medical Image Processing (MIP) Lab under the supervision of Hyunjin Park, Ph.D. His research focuses on medical image computing for lesion segmentation and prognosis prediction. He currently serves as the PI of a Sejong Science Fellowship (650M KRW for 5 years) from the NRF Korea. He has received several awards, including COSMOS 2022 Grand Challenge Award and MICCAI 2025 Registration Grant.
Research Interests
Medical Image Computing, Prompt-driven Medical Image Segmentation, Self-supervised Learning
Education
Sungkyunkwan University
Sungkyunkwan University
Experiences
Present
Sungkyunkwan University
News
05/2026 One paper was provisionally accepted for MICCAI 2026! (Top 9%)
03/2026 One paper was published in PRD! Paper
01/2026 One paper was accepted for ISBI 2026! Paper
07/2025 I received MICCAI 2025 Registration Grant from MICCAI Society!
05/2025 One paper was provisionally accepted for MICCAI 2025! (Top 2.2%) Open Access
02/2025 I received Sejong Science Fellowship from NRF Korea!
10/2024 One paper was accepted for BIBM 2024! Paper
10/2024 One paper was published in CMPB! Paper
06/2024 One paper was accepted for MICCAI 2024! Open Access
Publications
For a complete list of publications, please refer to Curriculum Vitae or visit Google Scholar profile.
Selected Conference Publications
Estimated Age-Guided Cerebral Microbleed Segmentation
Junmo Kwon, Jonghun Kim, Taehyeon Kim and Hyunjin Park
Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2026.
Provisional Accept: 9%
Paper Code Scholar Review Open Access
Blood Pressure Assisted Cerebral Microbleed Segmentation via Meta-matching Oral Registration Grant
Junmo Kwon, Jonghun Kim, Taehyeon Kim, Sang Won Seo, Hwan-ho Cho and Hyunjin Park
Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025.
Provisional Accept: 310 / 3447 ≈ 8.99%
Oral Presentation: 76 / 3447 ≈ 2.2%
Paper Code Scholar Review Open Access
Anatomically-Guided Segmentation of Cerebral Microbleeds in T1-weighted and T2*-weighted MRI
Junmo Kwon, Sang Won Seo and Hyunjin Park
Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024.
Paper Code Scholar Review Open Access
Selected Journal Publications
Imaging biomarkers for early prediction of the transition from idiopathic late-onset cerebellar ataxia to multiple system atrophy
Jun Seok Lee*, Junmo Kwon*, Jongmok Ha, Ji Hye Won, Jinyoung Youn, Hirohisa Watanabe, Hee Tae Kim, Hyunjin Park and Jin Whan Cho
Parkinsonism & Related Disorders (PRD), 2026.
(*equal contribution)
Leveraging Segmentation-Guided Spatial Feature Embedding for Overall Survival Prediction in Glioblastoma with Multimodal Magnetic Resonance Imaging
Junmo Kwon, Jonghun Kim and Hyunjin Park
Computer Methods and Programs in Biomedicine (CMPB), 2024.
Selected Awards
MICCAI 2025 Registration Grant
Junmo Kwon
Received financial support to cover the main conference registration, satellite event registration, and a one-year MICCAI membership fee for attending MICCAI 2025
COSMOS 2022 Grand Challenge Award
Jonghun Kim, Inye Na, Junmo Kwon and Hyunjin Park
Ranked the First Place in the CarOtid vessel wall SegMentation and atherosclerOsis diagnosiS challenge (COSMOS 2022)
Research Grants
Sejong Science Fellowship
Principal Investigator: Junmo Kwon
Period: Mar. 2025 – Feb. 2030 Ongoing
Development of a Unified Framework for Cerebral Small Vessel Disease Diagnosis with Missing Modality Adaptation
Grant Success Rate in 2025 ≈ 9.5%