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

Research Assistant Professor
Department of Biomedicine 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
Chief Artificial Intelligence Officer, Director
Headquarters of Artificial Intelligence, EverEx
29-7 Seoripul-gil, Seocho-gu, Seoul, Korea, 06641
leonard (at) everex (dot) co (dot) kr

Current Research Interests

  1. Graph representation learning and graph-theoretical analysis of functional neuroimage data
  2. Multi-modal foundation models for language-neuroimage-omics-based precision psychiatry
  3. Development and application of digital healthcare products for supporting clinical practice

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 Biomedicine Systems Informatics, College of Medicine, Yonsei University

Research Assistant Professor, March 2024 - Current

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

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

Department of Bio and Brain Engineering, KAIST

Head Graduate Teaching Associate, Biomedical Imaging, August 2018 - December 2018 Awarded with Best Teaching Associate Award
Graduate Teaching Associate, Biomedical Signal Processing, March 2017 – June 2017

Clinical Appointment

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

Adjunct Professor, March 2024 - Current
Clinical Research Assistant Professor, March 2022 - Current
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

Business Appointment

EverEx

Chief Artificial Intelligence Officer, October 2022 - Current

Publications

Refereed Journal Publications

  1. 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 [SCI]
  2. 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 [SCI]
  3. 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 [SCI]
  4. 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 [SCIE]
  5. 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 [SCI]
  6. 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 [SCI]
  7. 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 [SCI]
  8. 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 [SCI]
  9. 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 [SCIE]
  10. 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 [SCI]
  11. 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 [SCIE]
  12. Kim, B. -H., *Ye, J. C. (2020) Understanding Graph Isomorphism Network for rs-fMRI Functional Connectivity Analysis. Frontiers in Neuroscience, 630 [SCI]
  13. 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 [SCI/SSCI]
  14. 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. [SCI/SSCI]
  15. 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.
  16. 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.
  17. 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. [SCI] Awarded with Outstanding Resident Research Publication Award.

Refereed Conference and Workshop Publications

  1. *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)
  2. *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
  3. 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
  4. 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)
  5. 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. 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. arXiv:2403.17428
  2. Lim, S., Kim, Y., Choi, C. -H., *Sohn, J., *Kim, B. -H. (2024) ERD: A Framework for Improving LLM Reasoning for Cognitive Distortion Classification. arXiv:2403.14255
  3. 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

Presentations

Refereed Conference and Workshop Presentations

  1. Kim, B. –H., Jo, H-. J., Kim, J. J. (November, 2022) Effect of Mobile-based Meditation on Functional Network Properties of the Resting Brain in Anxious Individuals. Presented at the 2022 annual autumn conference of Korean Society for Human Brain Mapping (KHBM), Seoul, South Korea. Awarded with Best Poster Award
  2. Kim, B. –H., Ye, J. C., Kim, J. J. (October, 2021) Learning Dynamic Functional Connectivity with Spatio-Temporal Attention Graph Neural Network. Presented at the 2021 annual autumn conference of Korean Society of Artificial Intelligence in Medicine (KoSAIM), Seoul, South Korea. Awarded with Best Paper Award (1st place)
  3. Kim, B. -H., Song, J., Ye, J. C., Baek, J. (August, 2020) PyNET-CA: Enhanced PyNET with Channel Attention for End-to-end Mobile Image Signal Processing. Presented at the 16th European Conference on Computer Vision (ECCV) Advances in Image Manipulation (AIM) workshop, Glasgow, United Kingdom. (Virtual)
  4. Kim, B. –H., Ye, J. C. (July, 2020) Graph Neural Network Analysis of Resting-state fMRI. Presented at the 2020 Organization for Human Brain Mapping (OHBM) annual meeting, Montréal, Quebec, Canada. (Virtual)
  5. Kim, B. –H., Ye, J. C. (January, 2019) Deep Recurrent Learning of Brain Functional Dynamics for Data-driven Classification of Psychiatric Diagnosis: The Temporal Template Network. Presented at the 2019 Joint International Workshop on Advanced Image Technology (IWAIT) and International Forum on Medical Imaging in Asia (IFMIA), Nanyang Technological University, Singapore, Singapore. Oral
  6. Kim, B. –H., Ye, J. C. (December, 2018) Decorrelating the Brain Dynamics with Recurrent Neural Network for Schizophrenia Classification. Presented at the Thirty-second Annual Conference on Neural Information Processing Systems (NIPS/NeurIPS) workshop on Machine Learning for Health (ML4H), Montréal, Quebec, Canada. Awarded with Workshop travel grant award
  7. Kim, B. –H., Ye, J. C. (June, 2018) Deep Recurrent Learning of Brain Functional Dynamics for Data-driven Classification of Psychiatric Diagnosis: The Temporal Template Network. Presented at the 2018 Organization for Human Brain Mapping (OHBM) annual meeting workshop on Nonstandard Brain Image Analysis (NBIA), Singpore, Singapore.
  8. Kim, B. –H., Ye, J. C. (March, 2018) Deep Recurrent Learning of Brain Functional Dynamics for Data-driven Classification of Psychiatric Diagnosis: The Temporal Template Network. Presented at the International Society for Magnetic Resonance in Medicine (ISMRM) workshop on Machine Learning, Pacific Grove, CA, USA. Oral
  9. Kim, B. -H., Shin, Y. B., Kyeong, S. H., Lee, S. K., Lee, S. K., Kim, J. J. (July, 2016) Dysfunction of Intrinsic and Extrinsic Motivation in Schizophrenia: an fMRI Study. Presented at the 30th World Congress of the International College of Neuropsychopharmacology (CINP), Seoul, South Korea.
  10. Kim, B. -H., Shin, Y. B., Kyeong, S. H., Lee, S. K., Lee, S. K., Kim, J. J. (November, 2015) Ambivalence of Ideal Self-image Reflection Correlates with the Anterior Cingulate Cortex Activity in Schizophrenia. Presented at the annual autumn conference of Korean Society for Schizophrenia Research, Seoul, South Korea. Awarded with Best Poster Presentation Award

Invited Presentations

  1. Kim, B. -H. (September, 2023) Cross-disorder comparison of major neuropsychiatric disorders. Invited lecture to the Korean Society of Biological Therapies in Psychiatry, 2023 Annual Autumn Conference, Seoul, South Korea.
  2. Kim, B. -H. (June, 2023) Representation of Artificial Intelligence and Brain. Invited lecture to the Asan Medical Center, Department of Psychiatry, Resident seminar, Seoul, South Korea.
  3. Kim, B. -H. (January, 2023) Deep Learning on Graphs for Brain Network Analysis. Invited lecture to the MONET seminar, College of Medicine, Yonsei University, Seoul, South Korea.
  4. Kim, B. -H. (November, 2022) Practical Graph Neural Networks in the Medical Domain. Invited lecture to the Graduate Class of Introductory Artifical Intelligence in Medicine, College of Medicine, Yonsei University, Seoul, South Korea.
  5. Kim, B. -H. (August, 2022) Can Artifical Intelligence Make Psychiatric Diagnosis? Invited lecture to the Korean Society of Artificial Intelligence in Medicine (KoSAIM) 2022 Summer School, Seoul, South Korea.
  6. Kim, B. -H. (May, 2022) Graph Neural Networks for Understanding Brain Functional Connectivity Network. Invited lecture to the Korean Society of Artificial Intelligence in Medicine (KoSAIM) 2022 Annual Spring Conference, Seoul, South Korea.
  7. Kim, B. -H. (May, 2022) Deep Learning on Graphs and Neuroimaging: What, Where, and Why. Invited lecture to the Korean Society for Human Brain Mapping (KHBM) 2022 Annual Spring Conference, Seoul, South Korea.
  8. Kim, B. -H. (February, 2022) Neuroimage Data Analysis using Python and Graph Neural Networks. Invited lecture to the Korean Society for Human Brain Mapping (KHBM) 2022 Winter School, Hoengseong, South Korea. [Code]
  9. Kim, B. -H. (September, 2021) Learning Network Representation of the Brain Connectome with Graph Neural Networks. Invited lecture to the CNDL seminar, KAIST, Daejeon, South Korea.
  10. Kim, B. -H. (March, 2011) Basic Neuroanatomy. Invited lecture to the Undergraduate Class of Music Psychology, College of Music, Seoul National University, Seoul, South Korea.

Grants

Research Project

  1. 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.

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.

Honors and Recognitions

Awards

Leadership

Professional Experiences

Consulting

Professional Memberships

Certificates

Other Experiences

Department of Music, Seoul National University, Seoul, Korea

Visiting Student, February, 2011

Department of Radiology, School of Medicine, Keio University, Tokyo, Japan

Visiting Student, January, 2011

Department of Physiology, College of Medicine, Yonsei University, Seoul, Korea

Visiting Student, January - February, 2009

Yonsei-Keio Medical Student Scientific Flow Conference

Chief Organizer/Director, 11th Conference, February, 2010, Seoul, Korea
Director, 10th Conference, August, 2009, Tokyo, Japan
Participant, 9th Conference, February, 2009, Seoul, Korea
Participant, 8th Conference, August, 2008, Tokyo, Japan