Jonghun Kim | Sungkyunkwan University

About Me

I am a Ph.D. candidate at Medical Image Processing (MIP) Lab at Sungkyunkwan University (SKKU), advised by Professor Hyunjin Park. I am expected to graduate in February 2027. My research focuses on medical image analysis with machine learning, particularly in medical image translation and segmentation.

News

[Jun. 2026] A paper (PS-MIT) is accepted to ECCV 2026.
[Jun. 2026] A paper (AgeCMBNet) is accepted to MICCAI 2026.
[Mar. 2026] A paper (LLaBIT) is accepted to ICPR 2026.
[Mar. 2026] A paper (VPT-Med) is accepted to CMPB.
[Sep. 2025] A paper (Vessel-Diffusion) is accepted to CMIG.
[Jun. 2025] 3 papers (Latent-HE, BP-nnUNet, PMIL) are accepted to MICCAI 2025.
[Oct. 2025] A paper (CASCA) is accepted to CMPB.
[May. 2025] A paper (TS-Radiomics) is accepted to WACV 2025.
[Sep. 2024] A paper (DAMT) is accepted to ACCV 2024.
[Oct. 2023] A paper (ALDM) is accepted to WACV 2024.

Publications

ECCV

Posterior Samplings are Missing Modalities Generators for Medical Image Translation

Jonghun Kim

European Conference on Computer Vision, 2026

PDF Code

ICPR

Visual Instruction-Finetuned Language Model for Versatile Brain MR Image Tasks

Jonghun Kim, Sinyoung Ra, Hyunjin Park

International Conference on Pattern Recognition, 2026

PDF

EMBC

Multi-LLM Collaborative MRI Report Generation for Visual Instruction Tuning in Brain Oncology

Sinyoung Ra*, Jonghun Kim*, Hyunjin Park (*Equal contribution)

Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2026

PDF

MICCAI

Privacy Preserving Chest X-ray Classification in Latent Space with Homomorphically Encrypted Neural Inference

Jonghun Kim, Gyeongdeok Jo, Sinyoung Ra, Hyunjin Park

International Conference on Medical Image Computing and Computer-Assisted Intervention, 2025

PDF Code

ISBI

Simulating Post-Neoadjuvant Chemotherapy Breast Cancer MRI via Diffusion Model with Prompt Tuning

Jonghun Kim, Hyunjin Park

IEEE International Symposium on Biomedical Imaging, 2025

PDF Code

WACV

Tumor Synthesis Conditioned on Radiomics

Jonghun Kim, Inye Na, Eun Sook Ko, Hyunjin Park

Winter conference on applications of computer Vision, 2025

PDF Code

ISBI

Radiomics-guided Multimodal Self-attention Network for Predicting Pathological Complete Response in Breast MRI

Jonghun Kim, Hyunjin Park

IEEE International Symposium on Biomedical Imaging, 2024

PDF

ACCV

Domain Aware Multi-Task Pre-Training of 3D Swin Transformer for Brain MRI

Jonghun Kim*, Mansu Kim*, Hyunjin Park (*Equal contribution)

Asian Conference on Computer Vision, 2024

PDF Code

WACV

Adaptive latent diffusion model for 3d medical image to image translation: Multi-modal magnetic resonance imaging study

Jonghun Kim, Hyunjin Park

Winter conference on applications of computer Vision, 2024

PDF Code

CMPB

Visual prompt tuning for task-flexible medical image synthesis

Jonghun Kim, Hyunjin Park

Computer Methods and Programs in Biomedicine, 2025

PDF Code

CMIG

Enhancing intracranial vessel segmentation using diffusion models without manual annotation for 3D Time-of-Flight Magnetic Resonance Angiography

Jonghun Kim, Inye Na, Jiwon Chung, Ha-Na Song, Kyungseo Kim, Seongvin Ju, Mi-Yeon Eun, Woo-Keun Seo, Hyunjin Park

Computerized Medical Imaging and Graphics, 2025

PDF Code

CMPB

Weakly-supervised segmentation using sparse single point annotations for lumen and wall of carotid arteries in 3D MRI

Jonghun Kim, Inye Na, Junmo Kwon, Woo-Keun Seo, Hyunjin Park

Computer Methods and Programs in Biomedicine, 2025

PDF Code