Principal Investigator

Education and Training

2004.3 – 2008.2  B.S. in Electrical Engineering (Magna Cum Laude)

Department of Electrical and Computer Engineering,

Seoul National University, Seoul, Korea

2008.3 – 2012.2  B.S. in Medicine (M.D.) (Cum Laude)

College of Medicine,

Seoul National University, Seoul, Korea

2012.3 – 2013.2  Internship

Seoul National University Hospital, Seoul, Korea

2013.3 – 2017.2  Residency in

  Department of Radiology,

  Seoul National University Hospital, Seoul, Korea

2015.3 – 2017.2  M.S. in Clinical Medical Science (Radiology)

College of Medicine,

Seoul National University, Seoul, Korea

2017.3 – 2021.2  Ph.D. in Medical Science and Engineering

Graduate School of Medical Science and Engineering,

Korea Advanced Institute of Science and Technology, Daejeon, Korea

(Advisor: Prof. BumSeok Jeong)

2021.3 – 2022.2  Clinical Fellowship in

Department of Radiology,

Seoul National University Hospital, Seoul, Korea

2022.3 – 2026.2  Clinical Assistant Professor in

Department of Radiology,

Seoul National University Hospital, Seoul, Korea

2024.3 – present  Assistant Professor in

Department of Radiology,

Seoul National University College of Medicine, Seoul, Korea

2026.3 – present  Clinical Associate Professor in

Department of Radiology,

Seoul National University Hospital, Seoul, Korea

Selected Publications (High-Impact Journals, JIF > 10)

(* indicates corresponding author; otherwise, first author)

1. Choi, K. S., Kim, S. H., Kim, S. G., Han, J. K. Early gastric cancers: is CT surveillance necessary after curative endoscopic submucosal resection for cancers that meet the expanded criteria? Radiology. 2016; 281(2):444–453

2. Choi, K. S., Choi, S. H., Jeong, B. Prediction of IDH genotype in gliomas with dynamic susceptibility contrast perfusion MR imaging using an explainable recurrent neural network. Neuro-Oncology. 2019; 21(9):1197–1209

3. Choi, K. S., You, S.-H., Han, Y., Ye, J. C., Jeong, B., Choi, S. H. Improving the reliability of pharmacokinetic parameters at dynamic contrast-enhanced MRI in astrocytomas: a deep learning approach. Radiology. 2020; 297(1):178–188

4. Lee, J. O., Ahn, S. S., Choi, K. S. *, Lee, J., Jang, J., Park, J. H., Hwang, I., Park, C. K., Park, S. H., Chung, J. W., Choi, S. H. Added prognostic value of 3D deep learning-derived features from preoperative MRI for adult-type diffuse gliomas. Neuro-Oncology. 2024; 26(3):571–580

5. Park, Y. W., Choi, K. S., Foltyn-Dumitru, M., Brugnara, G., Banan, R., Kim, S., et al. Incorporating supramaximal resection into survival stratification of IDH-wildtype glioblastoma: a refined multi-institutional recursive partitioning analysis. Clinical Cancer Research. 2024; 30(21):4866–4875 (co-first author)

6. Lee, J., Jang, J., Eum, H., Jang, H., Kim, M., Park, S. H., Park, C. K., Choi, S. H., Ahn, S. S., Han, Y., Choi, K. S.* GlioSurv: interpretable transformer for multimodal, individualized survival prediction in diffuse glioma. NPJ Digital Medicine. 2025; 8(1):660

7. Choi, S. J., Kim, J. S., Jeong, S. Y., Son, H., Sung, J. J., Park, C. M., Choi, K. S.* Association of deep learning–based chest CT–derived respiratory parameters with disease progression in amyotrophic lateral sclerosis. Radiology. 2025; 315(2):e243463

8. Jang, J., Choi, K. S.*, Lee, J., Lee, H., Hwang, I., Park, J. H., et al. Unsupervised deep learning for blood-brain barrier leakage detection in diffuse glioma using dynamic contrast-enhanced MRI. Radiology: Artificial Intelligence. 2025; 7(3):e240507

9. Lee, J., Jeon, Y. H., Jang, J., Eum, H., Kim, M., Park, S. H., Park, C. K., Choi, S. H., Ahn, S. S., Choi, K. S.* Deep learning for survival prediction in glioblastoma: time-dependent model interpretability using MRI, clinical, and molecular data. Radiology: Artificial Intelligence. 2026;8(3).

10. Jang, H., An, S., Jung, S., Ji, H., Kim, M., Lee, S., Choi, K. S.*, Ha, S. M. Interpretable multimodal retrieval augmented diagnosis for breast ultrasound with multinational clinical validation and reader study. npj Digital Medicine. 2026;advance online publication. doi:10.1038/s41746-026-03272-3.

Selected Conference Papers (Top Tier; MICCAI, ACL, EMNLP)

1. Lee, J., Kim, H., Chung, H., Eom, H., Jang, J., Sohn, C.-H., Choi, K. S.* Lesion-aware post-training of latent diffusion models for synthesizing diffusion MRI from CT perfusion. MICCAI 2025. 2025:282–291.

2. Jang, H., Lee, J., Eum, H., Choi, K. S.* MedLayBench-V: a large-scale benchmark for expert–lay semantic alignment in medical vision language models. Findings of the Association for Computational Linguistics: ACL 2026. 2026:18375–18394.

3. Eum, H., Lee, J., Jang, J., Jang, H., Kim, S., Choi, K. S.* Text-deficient multimodal stroke segmentation with lesion-grounded self-retrieval-augmented generation. MICCAI 2026. 2026:622–631.

4. Al-Fakih, A., Choi, K. S., Kim, D.-H., Ryu, K., Al-masni, M. A. Coarse-to-Fine Meta-reweighting with Dynamic Retrieval for Adult-to-Pediatric Domain Adaptation in Tumor Segmentation. MICCAI 2026. 2026:100–109.

5. Lee, J., Jang, H., Choi, K. S.* MPIB: a benchmark for medical prompt injection attacks and clinical safety in LLMs. Findings of EMNLP 2026. Accepted for publication.

6. Lee, J., Kim, S., Choi, K. S.* MC-CXR: A Multi-Context Chest X-ray Benchmark for Context-Induced Disruption in Vision-Language Models. Findings of EMNLP 2026. Accepted for publication.

Honors, Awards, and Professional Highlights

2004 The Presidential Science Scholarship (제2기 대통령과학장학생)

2017 Korean Society of Radiology (KSR), Excellent publication award for resident (KSR-저술상 수련회원 해외부문)

2020 Korean Society of Radiology (KSR), Excellent publication award (excellence award) (KSR-저술상 우수상)

2020, 2022, 2023, 2025, 2026 Korean Society of Functional Neuroradiology (KSFNR), Excellent publication award (grand prize in 2020, 2023, and 2026)

2022 World Federation of Neuro-Oncology Societies (WFNOS) Chair person

(Co-chair, Prof. Manfred Westphal; President of the European Neurosurgery Congress, 2021)

2023 Korean Society of Artificial Intelligence in Medicine (KoSAIM), Best oral presentation award (silver prize) (Corresponding)

2023 Korean Society of Artificial Intelligence in Medicine (KoSAIM), Best poster presentation award (Corresponding)

2023, 2024 International Congress on Magnetic Resonance Imaging & Annual Scientific Meeting of KSMRM (ICMRI), Contribution award

2023 The 11th International Congress on Magnetic Resonance Imaging & 28th Annual Scientific Meeting of KSMRM (ICMRI), Poster presentation (gold prize) (Corresponding)

2023 The 11th International Congress on Magnetic Resonance Imaging & 28th Annual Scientific Meeting of KSMRM (ICMRI), Oral presentation (silver prize) (Corresponding)

2024 Annual Meeting of International Society for Magnetic Resonance in Medicine (ISMRM), Magna Cum Laude Merit Award (two awards) (Corresponding)

2025 Korean Society of Neuroradiology (KSNR), Young Investigator Award (대한신경두경부영상의학회 신진연구자 학술상)

2025 Medical Image Computing and Computer Assisted Intervention (MICCAI) LMID(Learning with Longitudinal Medical Images and Data) Workshop Keynote

2026 Korean Society of Radiology (KSR)–Accuzen Young Investigator Award (KSR-아큐젠 젊은의학자상)

2026 Selected among the Stanford–Elsevier World’s Top 2% Scientists (single-year citation impact, 2025; ranked 1,959 of 129,561 researchers, top 1.51%, in Nuclear Medicine & Medical Imaging, including self-citations).

2026 Korean Society of Artificial Intelligence in Medicine (KoSAIM)–National Academy of Medicine of Korea President’s Award (KoSAIM 대한민국의학한림원장상)

Reviewer

Journals: Nature Machine Intelligence, Neuro-Oncology, Radiology: Artificial Intelligence, IEEE Transactions on Medical Imaging, European Radiology, British Journal of Radiology, Korean Journal of Radiology, Journal of Magnetic Resonance Imaging, Journal of Neuroradiology, Neuroradiology, Cancer Imaging

Conferences: Medical Image Computing and Computer Assisted Intervention (MICCAI)