Full paper lists

2026 Under Review

FiLMamba: FiLM-Conditioned State Space Models for 3D Multi-Coil MRI Reconstruction
Eunseob Choi, Hyeonseok Jung, Kyeonghun Kim, Nam-Joon Kim^†, Pa Hong, Hyuk-Jae Lee
Int. Conf. Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2026 (Under Review)
TIME: 2.5D IDH-predictive Multimodal Ensemble for Glioma Subtyping [Code]
Kyeonghun Kim, Jieon Kim, Seongheon Choi, Donghyeon Seo, Minchan Kim, Insung Hwang, Suemin Yang, Taeyun Kim, Seoyoon Koo, Wonhyuk Kim, Yoonseon Jung, Nam-Joon Kim^†, Woo Kyoung Jeong, Won Jae Lee, Pa Hong, Ken Ying-Kai Liao, Hyuk-Jae Lee
Int. Conf. Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2026 (Under Review)
MAESTRO: Adaptive Experts with Spiking Temporal-spatial Routing for PNI Prediction
Youngung Han, Induk Um, Kyeonghun Kim, Hyunsu Go, Junga Kim, Dohyun Kweon, Jaewon Jung, Jina Jeong, Yuluei Jeong, Minjae Park, Nam-Joon Kim^†, Woo Kyoung Jeong, Won Jae Lee, Pa Hong, Ping Shu Ho, Tak Shing Au Yeung, Ka Chun Cheung, Ken Ying-Kai Liao, Hyuk-Jae Lee
Int. Conf. Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2026 (Under Review)
State-Space Modeling of Spatial Structure and Phase Dynamics for PNI Prediction
Youngung Han, Hyunsu Go, Kyeonghun Kim, Induk Um, Junga Kim, Dohyun Kweon, Jaewon Jung, Jina Jeong, Sungha Park, Minjae Park, Nam-Joon Kim^†, Woo Kyoung Jeong, Won Jae Lee, Pa Hong, Ping Shu Ho, Tak Shing Au Yeung, Ka Chun Cheung, Ken Ying-Kai Liao, Hyuk-Jae Lee
Int. Conf. Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2026 (Under Review)
PANDA: Phase-Aware Diffusion Refinement and Expert Aggregation for PNI Detection
Youngung Han, Dohyun Kweon, Kyeonghun Kim, Hyunsu Go, Junga Kim, Induk Um, Jaewon Jung, Jina Jeong, Anna Jung, Minjae Park, Nam-Joon Kim^†, Woo Kyoung Jeong, Won Jae Lee, Pa Hong, Ping Shu Ho, Tak Shing Au Yeung, Ka Chun Cheung, Ken Ying-Kai Liao, Hyuk-Jae Lee
Int. Conf. Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2026 (Under Review)
MATHENA: Mamba-based Tooth Hierarchical Estimator and Evaluation Network [Code]
Kyeonghun Kim, Jaehyung Park, Youngung Han, Anna Jung, Seongbin Park, Sumin Lee, Jiwon Yang, Jiyoon Han, Subeen Lee, Junsu Lim, Hyunsu Go, Eunseob Choi, Hyeonseok Jung, Soo Yong Kim, Nam-Joon Kim^†, Woo Kyoung Jeong, Won Jae Lee, Pa Hong, Ken Ying-Kai Liao, Hyuk-Jae Lee
Int. Conf. Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2026 (Under Review)
FBI: A Framework for Benchmark Integrity to Verify Malicious Contamination in LLMs Ina Jung, Kyeonghun Kim, Youngung Han, Seungwoo Baek, Jiwon Park, Minjeong Kim, Minseo Kim, Soo Yong Kim, Je Won Yeom, Sieun Hyeon^† Int. Conf. Machine Learning (ICML) 2026 (Under Review)

2026 Publications

3D-LLDM: Label-Guided 3D Latent Diffusion Model [Poster] [Slides]
Kyeonghun Kim, Jaehyeok Bae, Youngung Han, Joo Young Bae, Seoyoung Ju, Junsu Lim, Gyeongmin Kim, Nam-Joon Kim^†, Woo Kyoung Jeong, Ken Ying-Kai Liao, Won Jae Lee, Pa Hong, Hyuk-Jae Lee
IEEE Int. Symp. Biomedical Imaging (ISBI) 2026 Oral Presentation
LOSA-NET: Localized and Scale-Adaptive Network Youngung Han, Hyunsu Go, Kyeonghun Kim, Induk Um, Junga Kim, Jaewon Jung, Nam-Joon Kim^†, Woo Kyoung Jeong^†, Won Jae Lee, Ken Ying-Kai Liao, Pa Hong, Hyuk-Jae Lee [Slides] IEEE Int. Symp. Biomedical Imaging (ISBI) 2026 Oral Presentation
MMA-FORMER: Multi-Window Attention Transformer Youngung Han, Induk Um, Kyeonghun Kim, Junga Kim, Hyunsu Go, Jaewon Jung, Nam-Joon Kim^†, Woo Kyoung Jeong^†, Won Jae Lee, Ken Ying-Kai Liao, Pa Hong, Hyuk-Jae Lee [Slides] IEEE Int. Symp. Biomedical Imaging (ISBI) 2026 Oral Presentation
NeoNet: Neoplastic End-to-End Original 3D MRI-Based Deep Learning Framework Youngung Han, Minkyung Cha, Kyeonghun Kim, Induk Um, Myeongbin Sho, Joo Young Bae, Jaewon Jung, Jung Hyeok Park, Seojun Lee, Nam-Joon Kim^†, Woo Kyoung Jeong, Won Jae Lee, Pa Hong, Ken Ying-Kai Liao, Hyuk-Jae Lee [Slides] Workshop on Health Intelligence (W3PHIAI), AAAI 2026 Oral Presentation
CATATPAD: Context-Aware Transfer Adaptation for Trajectory Prediction in Autonomous Driving Seohyoung Park, Jaeyeol Lim, Seoyoung Ju, Kyeonghun Kim, Nam-Joon Kim^†, Hyuk-Jae Lee [Code] [Poster] IEEE Int. Conf. Electronics, Information, and Communication (ICEIC) 2026
MAESIL: Masked Autoencoder for Enhanced Self-supervised Medical Image Learning [Code] [Poster]
Kyeonghun Kim, Hyeonseok Jung, Youngung Han, Junsu Lim, YeonJu Jean, Seongbin Park, Eunseob Choi, Hyunsu Go, SeoYoung Ju, Seohyoung Park, Gyeongmin Kim, MinJu Kwon, KyungSeok Yuh, Soo Yong Kim, Ken Ying-Kai Liao, Nam-Joon Kim^†, Hyuk-Jae Lee
IEEE Int. Conf. Electronics, Information, and Communication (ICEIC) 2026

2025 Publications

CIPHER: Counterfeit Image Pattern High-level Examination via Representation Kyeonghun Kim, Youngung Han, SeoYoung Ju, Yeonju Jean, YooHyun Kim, Minseo Choi, SuYeon Lim, Kyungtae Park, Seungwoo Baek, Sieun Hyeon, Nam-Joon Kim^†, Hyuk-Jae Lee [Code] [Poster] IEEE Int. Conf. Consumer Electronics - Asia (ICCE-Asia) 2025
Improving Deep Learning-based Diagnosis of Hepatic Tumors on Multi-phase CEUS Taehoon Lee, Jaeyeol Lim, Nam-Joon Kim^†, Woo Kyoung Jeong, Won Jae Lee, Kyeonghun Kim [Code] ULTRASONICS 2025
FOSCU: Feasibility of Synthetic MRI Generation via Duo-Diffusion Models Youngung Han, Kyeonghun Kim, Seoyoung Ju, Yeonju Jean, Minkyung Cha, Seohyoung Park, Hyeonseok Jung, Nam-Joon Kim^†, Woo Kyoung Jeong, Ken Ying-Kai Liao, Hyuk-Jae Lee [Poster] IEEE Asia Pacific Conf. Circuits and Systems (APCCAS) 2025
Boundary Guidance for Efficient 3D CT Vision–Language Reasoning Soo Yong Kim^*, Kyeonghun Kim^*, Taejin Kim, Yoonkyoung Chun, Hyungjun Kim, Dayoon Lee, Jeongmin Shin, Pa Hong, Nam-Joon Kim^† [Poster] Workshop on Emerging LLM/LMM Applications in Medical Imaging (ELAMI), MICCAI 2025
Automated Dental Caries Segmentation in Panoramic Radiographs Using Dual-Stage Deep Learning Jihun Kim^*, Kyeonghun Kim^*, Jong-yeol Lee, Yeongseok Seo, Dohyun Chun^† [Poster] Workshop on Machine Learning in Medical Imaging (MLMI), MICCAI 2025
Feasibility Study of QCNet for Korean Road Adaptation and Optimal Training Strategies Seohyoung Park, Jaeyeol Lim, Seoyoung Ju, Kyeonghun Kim, Nam-Joon Kim^†, Hyuk-Jae Lee [Poster] The Institute of Electronics and Information Engineers (IEIE) Fall Conf. 2025
MINTI: Micro-boundary INstructional Training for Intelligent Anatomical Vision-Language Model Youngung Han, Kyeonghun Kim, Junsu Lim, et al. [Poster] The Institute of Electronics and Information Engineers (IEIE) Fall Conf. 2025
ControlNet-Guided Latent Diffusion for Tumor-Conditioned 3D Liver MRI Generation Minkyung Cha, Kyeonghun Kim, Youngung Han, et al. The Institute of Electronics and Information Engineers (IEIE) Summer Conf. 2025

NVIDIA GTC 2026 Poster Presentations

GLARE: GPU-Accelerated 3D CT Vision–Language Reasoning (P81268) Youngung Han, Junsu Lim, Eunseob Choi, Soo Yong Kim, Yi Kwan Ginny Wong, Nam-Joon Kim, Kyeonghun Kim (contributor) NVIDIA GTC 2026
RAPIDS: Real-Time Accelerated Dental Segmentation (P81266) Kyeonghun Kim, Youngung Han, Hyeonseok Jung, Gyeongmin Kim, Ken Ying-Kai Liao, Nam-Joon Kim NVIDIA GTC 2026
GRAVEX: GAN–Diffusion Representation for Counterfeit Analysis (P81285) Kyeonghun Kim, Eunseob Choi, Junsu Lim, Induk Um, Ken Ying-Kai Liao, Hyuk-jae Lee NVIDIA GTC 2026

Additional Publications

Prompt-Guided Image Editing via LLM-Assisted Object Grounding and Diffusion Models Kyeonghun Kim, Soo-Yeon Yoon^† [Slides] The Korean Institute of Communications and Information Sciences (KICS) 2024
TimeYOLO: Video Object Detection and Behavior Prediction via LSTM-YOLO Kyeonghun Kim, Soo-Yeon Yoon^† [Slides] M.S. Thesis, Kookmin University 2023
Ultrasonic Sensor-Based Obstacle Detection and Avoidance for an Autonomous Toy Vehicle Kyeonghun Kim, Won-Yeop Park^† [Slides] B.S. Thesis, Hankyong National University 2022

Patents

Method for Refining Hyperspectral Images Using Deep Learning Hyunjae Park, Seonghun Jeong, Kyeonghun Kim, Taehoon Lim, Dongil Kim Korean Patent Application No.: 10-2024-0199713, Gnewsoft Co., Ltd., Dec. 2024

Book Chapters

Getting Started with Natural Language Processing Kyeonghun Kim (contributor) Hongneung Science Publishing, Seoul, South Korea, 2026 - Contributed three chapters on foundational language models, autoencoders, and CNN applications with PyTorch implementation code

Research Highlights

HyperspectralMAE: Developed a proprietary foundation model achieving state-of-the-art (SOTA) performance in hyperspectral imagery classification (GNEWSOFT, 2024-2025)
Medical AI Collaborations: Leading research partnerships with Samsung Medical Center radiologists and NVIDIA researchers on diffusion-based medical imaging
IMSI Lab Website: Solely built the official IMSI Lab website providing centralized research platform
Deep Learning Education: Taught nationwide bootcamps for 450+ participants (2023) and 650+ participants (2024)

Technical Publications & Presentations

My research spans medical image analysis, generative AI, foundation models, and hyperspectral imaging. I have contributed to over 15 peer-reviewed publications and presented at major conferences including IEEE ISBI, ICEIC, APCCAS, MICCAI workshops, and NVIDIA GTC.

Research Impact: My work focuses on developing AI solutions that bridge the gap between cutting-edge research and clinical applications, with particular emphasis on medical imaging, synthetic data generation, and multimodal learning systems.