News

Papers

2026

• Congratulations! Our paper "Deep Learning for Survival Prediction in Glioblastoma: Time-dependent Model Interpretability Using MRI, Clinical, and Molecular Data "  has been accepted to Radiology: Artificial Intelligence (IF=13.2):  Junhyeok Lee, MS 

2025

• Congratulations! Our paper "GlioSurv: Interpretable Transformer for Multimodal, Individualized Survival Prediction in Diffuse Glioma"  has been accepted to npj digital medicine (IF=15.1): Junhyeok Lee, MS

• Congratulations! Our paper "ST-SRPerf: Continuous Spatiotemporal Representation for Perfusion MRI Super-resolution through Neural ODE and Implicit Neural Representation "  has been accepted to Computers in Biology and Medicine (IF=6.3, JCR top 5%): Junhyeok Lee, MS

• Congratulations! Our paper "Association of Deep Learning-Based Chest CT-Derived Respiratory Parameters with Disease Progression in Amyotrophic Lateral Sclerosis"  has been accepted to Radiology (IF=12.1): Prof. Kyu Sung Choi 

• Congratulations! Our paper "Unsupervised Deep Learning for Model-Free Blood‒Brain Barrier Leakage Detection with Dynamic Contrast-Enhanced MRI in Diffuse Gliomas"  has been accepted to Radiology: Artificial Intelligence (IF=8.1): Joon Jang, MS 

      2024

• Congratulations! Our paper "Incorporating Supramaximal Resection into Survival Stratification of IDH-Wildtype Glioblastoma: A Refined Multi-institutional Recursive Partitioning Analysis" has been accepted to Clin Can Res (IF=11.5): Prof. Yae Won Park (leading co-first author) & Kyu Sung Choi

• Congratulations! Our paper "Comparative analysis of glymphatic system alterations in multiple sclerosis and neuromyelitis optica spectrum disorder using MRI indices from diffusion tensor imaging"  has been accepted to Human Brain Mapping (IF=4.8): Prof. Minchul Kim

• Congratulations! Our paper "Added Prognostic Value of 3D Deep Learning-Derived Features from Preoperative MRI for Adult-type Diffuse Gliomas" has been accepted to Neuro-Oncology (IF=15.9): Prof. Kyu Sung Choi

Conferences

2026

• Congratulations! Our abstract "State-of-the-Art Diagnostic Performance of an Interpretable Vision-Language Model for BI-RADS Assessment in Breast Ultrasound (B-RAD): Multinational Validation and Reader Study" has been accepted to the Annual Meeting of the Radiological Society of North America 2026 (RSNA 2026): Sunghyun Jung and Han Jang

• Congratulations! Our abstract "Agentic AI for Longitudinal Assessment of Brain Metastases: Reproducible Reporting and Human-in-the-Loop Safety" has been accepted to the Annual Meeting of the Radiological Society of North America 2026 (RSNA 2026): Songsoo Kim, MD, PhD and Junhyeok Lee, MS

• Congratulations! Our abstract "Abdominal CT and Brain MRI Phenotypes Across the Glycemic Spectrum: Graded Body–Brain Signatures of Prediabetes and Diabetes" has been accepted to the Annual Meeting of the Radiological Society of North America 2026 (RSNA 2026): Songsoo Kim, MD, PhD

• Congratulations! Our abstract "Comprehensive Assessment of Associations Between CT-Derived Fat Distribution, Muscle Quality, Muscle Quantity, and Brain Health in a Health-Screening Cohort" has been accepted to the Annual Meeting of the Radiological Society of North America 2026 (RSNA 2026): Wonjung Kim, MD

• Congratulations! Our abstract "Longitudinal Volumetric MRI for Earlier Identification of Progression in Brain Metastases" has been accepted to the Annual Meeting of the Radiological Society of North America 2026 (RSNA 2026): Young Hun Jeon, MD and Junhyeok Lee, MS

• Congratulations! Our paper "Improving Factuality of 3D Brain MRI Report Generation with Paired Image-domain Retrieval and Text-domain Augmentation" has been accepted to International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2026):  Junhyeok Lee, MS  

• Congratulations! Our paper "Evidential Perfusion Physics-Informed Neural Networks with Residual Uncertainty Quantification" has been accepted to International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2026):  Junhyeok Lee, MS  

• Congratulations! Our paper "Coarse-to-Fine Meta-Reweighting with Dynamic Retrieval for Adult-to-Pediatric Domain Adaptation in Tumor Segmentation" has been accepted to International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2026):  Kyu Sung Choi, MD, PhD (co-author)

• Congratulations! Our paper "Text-Deficient Multimodal Stroke Segmentation with Lesion-Grounded Self-Retrieval-Augmented Generation" has been provisionally accepted (Top 9%) as SPOTLIGHT presentation to International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2026): Heeseong Eum, MS 

• Congratulations! Our paper "MedLayBench-V: A Large-Scale Benchmark for Expert-Lay Semantic Alignment in Medical Vision Language Models" has been accepted to Findings of the 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026, Poster Presentation): Han Jang 

2025

• Congratulations! Our abstract "Exploring evidence for vertical recurrence of glioblastoma using dynamic contrast-enhanced MRI" has been accepted to Annual Meeting of Radiological Society of North America 2025 (RSNA 2025): Prof. Minchul Kim, MD, PhD (Collaborator) 

• Congratulations! Our abstract "Lesion-Aware Post-Training of Latent Diffusion Models for Synthesizing Diffusion MRI from CT Perfusion " has been provisionally accepted (Top 9%) to International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2025): Junhyeok Lee, MS 

Awards

2026

• Congratulations! Selected to serve on the Editorial Board of Radiology: In Training as an Associate Editor(July 1,2026 to June 30, 2027): Songsoo Kim, MD, PhD

• Congratulations! Outstanding Research Paper Award, Seoul National University Hospital Biomedical Research Institute: Junhyeok Lee, MS 

2025

• Congratulations! Best Trainee Scientific Awards (Gold Prize), The 13th International Congress on Magnetic Resonance Imaging & 30th Annual Scientific Meeting of KSMRM (ICMRI2025): Joon Jang

• Congratulations! Best Trainee Scientific Awards (Silver Prize), The 13th International Congress on Magnetic Resonance Imaging & 30th Annual Scientific Meeting of KSMRM (ICMRI2025): Han Jang

• Congratulations! New Researcher Academic Award, Korean Society of Neuroradiology (KSNR2025): Prof. Kyu Sung Choi

       2024

• Congratulations! Contribution Award, The 12th International Congress on Magnetic Resonance Imaging & 29th Annual Scientific Meeting of KSMRM (ICMRI2024): Prof. Kyu Sung Choi

• Congratulations! Best Oral Presentation Award (Silver Prize), annual conference of korean society of artificial intelligence in medicine (KOSAIM 2024): Heeseong Eum, BS

• Congratulations! (Magna Cum Laude), Annual Meeting of International Society for Magnetic Resonance in Medicine (ISMRM 2024): Junhyeok Lee, MS

• Congratulations! (Magna Cum Laude), Annual Meeting of International Society for Magnetic Resonance in Medicine (ISMRM 2024): Joon Jang, MS 

     2023

• Congratulations! Best Oral Presentation Award (Silver Prize), annual conference of korean society of artificial intelligence in medicine (KOSAIM 2023): Junhyeok Lee, MS 

"Continuous Spatio-Temporal Representation with Implicit Neural Representation and Neural Ordinary Differential Equation in Dynamic Susceptibility Contrast MRI"

• Congratulations! Best Poster Presentation Award (Imaging I), annual conference of korean society of artificial intelligence in medicine (KOSAIM 2023): Junhyeok Lee, MS

"Improved Dynamic Contrast-Enhanced MRI for Diffuse Gliomas: Clinical Application of Deep Learning-Based Reconstruction and Denoising Techiques"

• Congratulations! Contribution Award, The 11th International Congress on Magnetic Resonance Imaging & 28th Annual Scientific Meeting of KSMRM (ICMRI2023): Prof. Kyu Sung Choi

• Congratulations! Best Trainee Scientific Awards Poster Presentation (GOLD), The 11th International Congress on Magnetic Resonance Imaging & 28th Annual Scientific Meeting of KSMRM (ICMRI2023): Junhyeok Lee, MS

"Continuous Spatio-Temporal Representation with Implicit Neural Representation and Neural Ordinary Differential Equation in Dynamic Susceptibility Contrast MRI" 

• Congratulations! Best Trainee Scientific Awards Oral Presentation (Silver), The 11th International Congress on Magnetic Resonance Imaging & 28th Annual Scientific Meeting of KSMRM (ICMRI2023): Joon Jang, MS 

"Unsupervised Model-Free Leakage Detection in DCE-MRI Using Generative Adversarial Networks" 

Others

• Congratulations! Our research has been selected for the 2025 Research Grant Program of the Korean Society of Magnetic Resonance in Medicine (KSMRM). 

• We are pleased to announce that Prof. Kyu Sung Choi has been invited to deliver a keynote lecture at the LIDM (Learning with Longitudinal Medical Images and Data) Workshop at MICCAI 2025. 

• Congratulations! AICON lab has been introduced on BRIC : AI Collaborative Network (AICON) Laboratory