Byung-Hoon Kim, M.D., Ph.D.

Research Assistant Professor
Department of Biomedical Systems Informatics
College of Medicine, Yonsei University
50-1 Yonsei-ro, Seodaemun-gu, Seoul, Korea, 03722
egyptdj (at) yonsei (dot) ac (dot) kr
Adjunct Professor
Department of Psychiatry
Gangnam Severance Hospital
211 Eonju-ro, Gangnam-gu, Seoul, Korea, 06273
egyptdj (at) yuhs (dot) ac

Higher Education

Korea Advanced Institute of Science and Technology (KAIST)

February 2021
Daejeon, Korea

Yonsei University

August 2016
Seoul, Korea

Yonsei University

February 2012
Seoul, Korea

Academic Appointment

Department of Biomedical Systems Informatics, College of Medicine, Yonsei University

Research Assistant Professor, March 2024 - Current

Center for Advanced Medical Computing and Analysis, Department of Radiology, Massachusetts General Hospital, Harvard Medical School

Visiting Scholar, July 2023 - December 2023. $60,000/Year funded from Severance Research Initiative

Clinical Appointment

Department of Psychiatry, Gangnam Severance Hospital, Yonsei University College of Medicine

Adjunct Professor, March 2024 - Current
Clinical Research Assistant Professor, March 2022 - February 2024
Clinical Fellow, March 2021 - February 2022

Department of Psychiatry, Severance Hospital, Yonsei University College of Medicine

Resident Doctor, March 2013 - February 2017 Awarded with Resident of Honor Award 2013, 2014
Chief Resident Doctor, September 2015 - November 2016

Severance Hospital, Yonsei University College of Medicine

Intern Doctor, March 2012 - February 2013

Publications

Refereed Journal Publications

  1. Suh, P. S.†, Lee, D.†, Bang, C. -B., Han, K., Choi, K. S., Kim, M., Park, J. E., Shin, N. -Y., Ahn, S. S., Choi, S. H., Kim, H. S., Lee, S. -K., Chang, J. H., Kim, S. H., Foltyn-Dumitru, M., You, S. C., Vollmuth, P., *Kim, B. -H., *Park, Y. W. (2025) Predicting molecular types of adult-type diffuse gliomas based on MRI reports with large language models European Radiology, 1-12
  2. Oh, H., Cha, J., Kim, B. -H., Oh, K. S., Shin, Y. C., Jeon, S. W., Cho, S. J., *Kim, J. (2025) Identifying Neurobehavioral Biomarkers of Anxiety and Treatment Response Using Virtual Reality, Electroencephalography, Magnetic Resonance Imaging, and Related Multimodal Measures Journal of Clinical Medicine, 15(1), 7
  3. Cho, I., Kim, B. -H., Lee, H., Song, Y. -K., Chang, M. J., *Kim, J., *Han, E. (2025) Clinician Guidance in Digital Therapeutics for Panic Disorder: Meta-Analytic Dissection and Implications for Regulatory Framing and Scalable Deployment Journal of Anxiety Disorders, 103074
  4. Kim, B. -H., Kim, J. J., Kim, J., Cha, J., Jeon, S. W., Oh, K. S., Shin, D. W., Cho, S. J. J. (2025) Simulated virtual reality experiences for predicting early treatment response in panic disorder Frontiers in Digital Health, 7, 1684001
  5. Lim, K., Jung, Y. -C., *Kim, B. -H. (2025) Evaluating motivational interview quality using large language models and hidden Markov models BMC Psychiatry, 25(1), 908
  6. Kim, Y., Choi, C. -H., Cho, S., Sohn, J., *Kim, B. -H. (2025) Aligning Large Language Models for Cognitive Behavioral Therapy: a proof-of-concept study Frontiers in Psychiatry, 16, 1583739
  7. Cho, Y. J.†, Ryu, J. S.†, Seok, J. -H., Kim, E., Oh, J., *Kim, B. -H. (2025) Machine Learning Prediction of Attachment Type From Bio-Psychological Factors in Patients With Depression Psychiatry Investigation, 22(4), 412-423
  8. Lee, J. G., Kim, J. J., Seok, J. -H., Kim, E., Oh, J., Bang, C. -B., *Kim, B. -H. (2025) Integrating Heart Rate Variability Improves Machine Learning-based Prediction of Panic Disorder Symptom Severity Clinical Psychopharmacology and Neuroscience, 23(3), 400-410
  9. Ko, Y., *Kim, H. E., Kim, B. -H., Ham, K., Lee, S., Park, B., Kim, J. J. (2025) Neural dynamics of social anxiety during and after anxiety-provoking and relaxation-inducing: A task and resting-state fMRI study Journal of Affective Disorders, 380, 655-665
  10. Bang, C. -B., Jung, Y. C., You, S. C., Kim, K., *Kim, B. -H. (2025) Promises and pitfalls of large language models in psychiatric diagnosis and knowledge tasks The British Journal of Psychiatry, 226(4), 243-244
  11. So, J. -H., Chang, J., Kim, E., Na, J., Choi, J., *Sohn, J., *Kim, B. -H., *Chu, S. H. (2024) Aligning Large Language Models for Enhancing Psychiatric Interviews through Symptom Delineation and Summarization: Pilot Study JMIR Formative Research, 8:e58418
  12. Heo, J., Lee, H., Yoon, S., Kim, M. J., Park, E., Kim, B. M., Kim, D. J., Kim, Y. D., *Kim, B. -H., *Nam, H. S. (2024) On-Device Deep Learning to Detect Carotid Stenosis With Smartphones: Development and Validation. Stroke, 55:00–000
  13. Kim, B. -H., Baek, J., Kim, O., Kim, H., Ko, M., *Chu, S. H., *Jung, Y. -C. (2024) North Korean Defectors with PTSD and Complex PTSD show Alteration of Default Mode Network Resting-state Functional Connectivity. BJPsych Open, 10 (1), e25
  14. Kim, B. -H., Kim, S. -H., Han, C., Jeong, H. -G., Lee, M. -S., *Kim, J. (2023) Antidepressant-induced mania in panic disorder: a single-case study of clinical and functional connectivity characteristics. Frontiers in Psychiatry, 14
  15. Kim, B. -H., Kim, J. J., Oh, J., Kim, S. -H., Han, C., Jeong, H. -G., Lee, M. -S., *Kim, J. (2023) Feasibility of the virtual reality-based assessments in patients with panic disorder. Frontiers in Psychiatry, 14, 40
  16. Kim, B. -H.†, Lee, H.†, *Choi, K. S., Nam, J. G., Park, C. -K., Park, S. -H., Chung, J. W., Choi, S. H. (2022) Validation of MRI-Based Models to Predict MGMT Promoter Methylation in Gliomas: BraTS 2021 Radiogenomics Challenge. Cancers, 14(19), 4827
  17. Kim, H., *Kim, B. -H., Kim, M. -K., Eom, H., Kim, J. J. (2022) Alteration of resting-state functional connectivity network properties in patients with social anxiety disorder after virtual reality-based self-training. Frontiers in Psychiatry, 13, 2150
  18. Kim, B. -H., Kim, M. -K., Jo, H. -J., *Kim, J. J. (2022) Predicting social anxiety in young adults with machine learning of resting-state brain functional radiomic features. Scientific Reports, 12(1), 1-10
  19. Shin, B., *Oh, J., Kim, B. -H., Kim, H. E., Kim, H., Kim, S. -J. Kim, J. J. (2021) Effectiveness of Self-Guided Virtual Reality-based Cognitive Behavioral Therapy for Panic Disorder. JMIR Mental Health, 8(11), e30590
  20. Choi, K. S., Kim, S., Kim, B. -H., Jeon, H. J., Kim, J. -H., Jang, J. H., *Jeong, B. S. (2021) Deep graph neural network-based prediction of acute suicidal ideation in young adults. Scientific Reports, 11(1), 1-11
  21. Kim, B. -H., Kim, H. E., Lee, J. S., *Kim, J. J. (2021) Anhedonia Relates to the Altered Global and Local Grey Matter Network Properties in Schizophrenia. Journal of Clinical Medicine, 10(7), 1395
  22. Lee, S. -K., Lee, J. S., Shin Y. -B., Kim, H. E., Kim, B. -H., *Kim, J. J. (2021) The relationship between ambivalence, alexithymia, and salience network dysfunction in schizophrenia. Psychiatry Research: Neuroimaging, 310(30), 111271
  23. Kim, S. -J., Son, S. J., Jang M., Kim, B. -H., Hong, S. J., Seo, L., Choi, S. -W., *Seok, J. -H., *Noh, J. S. (2021) Rapid symptom improvement in major depressive disorder using accelerated repetitive transcranial magnetic stimulation. Clinical Psychopharmacology and Neuroscience, 19(1), 73-83
  24. Kim, B. -H., *Ye, J. C. (2020) Understanding Graph Isomorphism Network for rs-fMRI Functional Connectivity Analysis. Frontiers in Neuroscience, 630
  25. Kim, B. -H., Shin, Y. –B., Kyeong, S., Lee, S. –K., *Kim, J. J. (2020) Neural basis of ambivalence towards ideal self-image in schizophrenia. Psychiatry Investigation, 17 (5), 452
  26. Kim, B. -H., Shin, Y. –B., Kyeong, S., Lee, S. –K., *Kim, J. J. (2018) Disrupted salience processing involved in motivational deficits for real-life activities in patients with schizophrenia. Schizophrenia Research, 197, 407-413.
  27. Kim, M. -K., Jung, Y. H., Shin, Y. -B., Kim, B. -H., Kim, E. J., *Kim, J. J. (2017) The Relationship between Low Intrinsic Motivation and Basic Psychological Need in Internet Gaming Disorder. Korean Journal of Biological Psychiatry, 24(2), 52-58.
  28. Kim, B. -H., Shin, Y. -B., Kyeong, S., Lee, S. -K., *Kim, J. J. (2016) Characteristics of Ambivalence of Self-image in Patients with Schizophrenia. Korean Journal of Schizophrenia Research, 19(1), 5-9.
  29. Kim, B. -H., Namkoong, K., Kim, J. J., Lee, S., Yoon, K. J., Choi, M. J. *Jung, Y. C. (2015) Altered resting-state functional connectivity in women with chronic fatigue syndrome. Psychiatry Research: Neuroimaging, 234(3), 292-297. Awarded with Outstanding Resident Research Publication Award.

Refereed Conference and Workshop Publications

  1. Kim, J., Chung, H., *Kim, B. -H. (2024) CapeLLM: Support-Free Category-Agnostic Pose Estimation with Multimodal Large Language Models International Conference on Computer Vision 2025 (ICCV 2025)
  2. Go, H.†, Park, B.†, Nam, H., Kim, B. -H., *Chung, H., *Kim, C. (2025) VideoRFSplat: Direct Scene-Level Text-to-3D Gaussian Splatting Generation with Flexible Pose and Multi-View Joint Modeling International Conference on Computer Vision 2025 (ICCV 2025)
  3. Park, B.†, Go, H.†, Nam, H., Kim, B. -H., *Chung, H., *Kim, C. (2025) SteerX: Creating Any Camera-Free 3D and 4D Scenes with Geometric Steering International Conference on Computer Vision 2025 (ICCV 2025)
  4. Lim, S., Kim, Y., Choi, C. -H., *Sohn, J., *Kim, B. -H. (2024) ERD: A Framework for Improving LLM Reasoning for Cognitive Distortion Classification. 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2024) Clinical NLP Workshop
  5. *Kim, B. -H.†, Choi, J.†, Yun, E., Kim, K., Li, X., *Lee, J. (2024) Learning Dynamic Brain Connectome with Graph Transformers for Psychiatric Diagnosis Classification. 21st International Symposium on Biomedical Imaging (ISBI 2024) Oral
  6. *Kim, B. -H.†, Choi, J.†, Yun, E., Kim, K., Li, X., *Lee, J. (2023) Large-scale Graph Representation Learning of Dynamic Brain Connectome with Transformers. Advances in Neural Information Processing Systems 36 (NeurIPS 2023) Temporal Graph Learning (TGL) Workshop
  7. Choi, J., Keum, S., Yun, E.*Kim, B. -H., *Lee, J. (2023) A Generative Self-Supervised Framework using Functional Connectivity in fMRI Data. Advances in Neural Information Processing Systems 36 (NeurIPS 2023) Temporal Graph Learning (TGL) Workshop
  8. Kim, B. -H., Ye, J. C., Kim, J. J. (2021) Learning Dynamic Graph Representation of Brain Connectome with Spatio-Temporal Attention. Advances in Neural Information Processing Systems 34 (NeurIPS 2021)
  9. Kim, B. -H., Song, J., *Ye, J. C., Baek, J. (2020) PyNET-CA: Enhanced PyNET with Channel Attention for End-to-end Mobile Image Signal Processing. 16th European Conference on Computer Vision (ECCV) Advances in Image Manipulation (AIM) workshop

Preprints

  1. Oh, G., Park, S., *Kim, B. -H. (2025) AutoMedic: An Automated Evaluation Framework for Clinical Conversational Agents with Medical Dataset Grounding arXiv:2512.10195
  2. Park, B., Kim, B. -H., *Chung, H., *Ye, J. C. (2025) ReDirector: Creating Any-Length Video Retakes with Rotary Camera Encoding arXiv:2511.19827
  3. Nam, H., Go, H., Park, B., *Kim, B. -H., *Chung, H. (2025) Generating Human Motion Videos using a Cascaded Text-to-Video Framework arXiv:2510.03909
  4. Chung, H., Nam, H., Kim, J., Go, H., Park, B., Kim, J., Ha, S., *Kim, B. -H. (2025) Video Parallel Scaling: Aggregating Diverse Frame Subsets for VideoLLMs arXiv:2509.08016
  5. Oh, K.†, Kim, S., *Park, S. J. *Kim, B. -H. (2025) Rethinking Test-Time Scaling for Medical AI: Model and Task-Aware Strategies for LLMs and VLMs arXiv:2506.13102
  6. Wang, C., Jiang, Y., Peng, Z., Li, C., Bang, C., Zhao, L., Lv, J., Sepulcre, J., Yang, C., He, L., Liu, T., Barron, D., Li, Q., Hirschtick, R., Kim, B. -H., *Li, X., *Yuan, Y. (2025) Towards a general-purpose foundation model for fMRI analysis arXiv:2506.11167
  7. Lim, K. H.†, Kang, U.†, Li, X., Kim, J. S., Jung, Y. -C., *Park, S. J. *Kim, B. -H. (2025) Susceptibility of Large Language Models to User-Driven Factors in Medical Queries arXiv:2503.22746
  8. Park, J.†, Park, B.†, Bang, C. -B., Choi, J., Chung, H., *Kim, B. -H., *Lee, J. (2025) A Foundational Brain Dynamics Model via Stochastic Optimal Control arXiv:2502.04892
  9. Chung, H.†, Lee, D.†, Wu, Z., Kim, B. -H., Bouman, K. L., *Ye, J. C. (2025) ContextMRI: Enhancing Compressed Sensing MRI through Metadata Conditioning arXiv:2501.04284
  10. Lee, J.†, Lim, K.†, Jung, Y. C., *Kim, B. -H. (2025) PSYCHE: A Multi-faceted Patient Simulation Framework for Evaluation of Psychiatric Assessment Conversational Agents arXiv:2501.01594
  11. Lee, J.†, Oh, Y.†, Lee, D., Joh, H. K., Sohn, C. -H., Baik, S. H., Jung, C. K., Park, J. H., *Choi, K. S. *Kim, B. -H., *Ye, J. C. (2024) Improving Factuality of 3D Brain MRI Report Generation with Paired Image-domain Retrieval and Text-domain Augmentation arXiv:2411.15490
  12. Choi, J.†, Lee, H.†, *Kim, B. -H., *Lee, J. (2024) Joint-Embedding Masked Autoencoder for Self-supervised Learning of Dynamic Functional Connectivity from the Human Brain arXiv:2403.06432

Grants

Research Projects (Ongoing)

  1. PI: Cohort-based neuroimage AI training dataset construction for cognitive aging study. Total award ₩900M ($650K) funded by the Korea Disease Control and Prevention Agency (KDCA) of Korea, 2025-Current.
  2. PI: Multi-task Multi-modal Brain Signal Continuous Measurement-based Young Adult ADHD Screening and Cognitive Function Assessment AI Algorithm Product Development. Total award ₩678.75M ($500K) funded by the National Research Foundation (NRF) of Korea, 2025-Current.
  3. Collaborator: Korea-UK Global Joint Research Centre for Dementia: Integration of Multi-cohort Multi-modal Big Data and Preclinical Validation Platforms. Total award ₩2,250M ($1.5M) funded by the National Research Foundation (NRF) of Korea, 2024-Current.
  4. Collaborator: Brain Aid on Your Smartphone (BAYS): Development of a Healthy Aging Service Using a Brain Age & Cognitive Reserve-Based Foundation Model and a Digital Therapeutics Platform. Total award ₩1,210M ($1.5M) funded by the Ministry of Health and Welfare of Korea, 2024-Current.

Research Projects (Complete)

  1. PI: Multi-faceted Psychiatric Patient Utterance Simulation for Evaluation of Generative AI-based Psychiatric Assessment Conversational Agents. Total award ₩10M ($7,500) funded by the Institute for Innovation in Digital Healthcare (IIDH) of Yonsei University Health System, 2024-2025.
  2. PI: Representation Learning of Brain Connectivity with Graph Neural Networks for Investigation of Biomarkers in Schizophrenia. Total award ₩210M ($165,000) funded by the National Research Foundation (NRF) of Korea, 2022-2025.
  3. Co-PI: Hyperscale AI Ecosystem Expansion Initiative - Medical Knowledge Data Corpus. Total award ₩30M ($22,500) funded by the National Information Society Agency (NIA) of Korea, 2024.

Travel

  1. Severance Research Initiative. Total award $60,000/Year funded by College of Medicine, Yonsei University for visiting research fellow position at Massachusetts General Hospital, Harvard Medical School, 2023
  2. Neural Information Processing Systems (NeurIPS) workshop on Machine Learning for Health (ML4H). Total award $250 funded by the organizing committee, 2018.