Sekeun Kim

Publications

* denotes equal contribution. See also Google Scholar.

Journal Articles (19)

  1. Association Between Cardiovascular Risk Factors and Pan-Coronary Plaque Burden, Phenotype, and Vulnerability: A 3-Vessel Imaging Study
    J. Chmiel, S. Andreaggi, Sekeun Kim, I. McNulty, H. Lee, A. P. Banning, et al.
    JACC: Advances, 2026
  2. Integrated Coronary CT Angiography Assessment of Plaque Vulnerability and Clinical Outcomes: The Morphology-Inflammation-Burden (MIB) Score
    S. Andreaggi, R. Scalamera, Sekeun Kim, K. Kim, I. McNulty, H. Lee, D. Dey, et al.
    JACC: Cardiovascular Imaging, 2026
  3. Is Imaging of a Single Vessel Sufficient to Assess Pan-Coronary Vulnerability?
    R. Scalamera, S. Andreaggi, Sekeun Kim, H. Lee, I. McNulty, S. Benenati, et al.
    Catheterization and Cardiovascular Interventions, 2026
  4. Non-Modifiable Cardiovascular Risk Factors and Coronary Plaque Characteristics in Patients with Acute Coronary Syndromes
    R. Scalamera, M. Covani, S. Andreaggi, Sekeun Kim, H. Lee, I. McNulty, S. Benenati, G. Niccoli, R. Vergallo, I. Porto, I.-K. Jang
    European Heart Journal – Cardiovascular Imaging, 2026
  5. EchoFM: Foundation Model for Generalizable Echocardiogram Analysis
    Sekeun Kim, P. Jin, S. Song, C. Chen, Y. Li, H. Ren, X. Li, T. Liu, Q. Li
    IEEE Transactions on Medical Imaging, 2025 First author
  6. MediViSTA: Medical Video Segmentation via Temporal Fusion SAM Adaptation for Echocardiography
    Sekeun Kim, P. Jin, C. Chen, K. Kim, Z. Lyu, H. Ren, S. Kim, Z. Liu, A. Zhong, T. Liu, X. Li, Q. Li
    IEEE Journal of Biomedical and Health Informatics, 29(12):8954–8964, 2025 First author
  7. Cine Cardiac Magnetic Resonance Segmentation using Temporal-Spatial Adaptation of Prompt-Enabled Segment-Anything-Model: A Feasibility Study
    Z. Chen*, Sekeun Kim*, H. Ren, S. Kim, S. Yoon, Q. Li
    Journal of Cardiovascular Magnetic Resonance, 2025 Co-first author
  8. Exercise-Induced Cardiac Lymphatic Remodeling Mitigates Inflammation in the Aging Heart
    K. Roh, H. Li, R. N. Freeman, L. Zazzeron, A. Lee, C. Zhou, S. Shen, P. Xia, J. R. B. Guerra, C. Sheffield, T. P. Padera, Y. Zhou, Sekeun Kim, A. Aguirre, N. Houstis, J. D. Roh, F. Ichinose, R. Malhotra, A. Rosenzweig, J. Rhee
    Aging Cell, 24(6):e70043, 2025
  9. Radiology-GPT: A Large Language Model for Radiology
    Z. Liu, Y. Li, P. Shu, A. Zhong, H. Jiang, Y. Pan, L. Yang, C. Ju, Z. Wu, C. Ma, C. Chen, Sekeun Kim, H. Dai, L. Zhao, L. Sun, D. Zhu, J. Liu, W. Liu, D. Shen, Q. Li, T. Liu, X. Li
    Meta-Radiology, 3(2):100153, 2025
  10. Assessment of Valve Regurgitation Severity via Contrastive Learning and Multi-View Video Integration
    Sekeun Kim, H. Ren, J. Charton, J. Hu, C. Maraboto Gonzalez, J. Khambhati, J. Cheng, J. DeFrancesco, A. Waheed, S. Marciniak, F. Moura, R. N. Cardoso, B. B. Lima, S. McKinney, M. H. Picard, X. Li, Q. Li
    Physics in Medicine & Biology, 69(4):045020, 2024 First author
  11. MA-SAM: Modality-Agnostic SAM Adaptation for 3D Medical Image Segmentation
    C. Chen, J. Miao, D. Wu, A. Zhong, Z. Yan, Sekeun Kim, J. Hu, Z. Liu, L. Sun, X. Li, T. Liu, P.-A. Heng, Q. Li
    Medical Image Analysis, 98:103310, 2024
  12. Deep Learning on Multiphysical Features and Hemodynamic Modeling for Abdominal Aortic Aneurysm Growth Prediction
    Sekeun Kim, Z. Jiang, B. A. Zambrano, Y. Jang, S. Baek, S. Yoo, H.-J. Chang
    IEEE Transactions on Medical Imaging, 42(1):196–208, 2022 First author
  13. Fully Automated Quantification of Cardiac Chamber and Function Assessment in 2-D Echocardiography: Clinical Feasibility of Deep Learning-Based Algorithms
    Sekeun Kim, H. B. Park, J. Jeon, R. Arsanjani, R. Heo, S. E. Lee, I. Moon, S. K. Yoo, H.-J. Chang
    The International Journal of Cardiovascular Imaging, 38(5):1047–1059, 2022 First author
  14. Reconnection of Fragmented Parts of Coronary Arteries Using Local Geometric Features in X-ray Angiography Images
    K. Han, J. Jeon, Y. Jang, S. Jung, Sekeun Kim, H. Shim, B. Jeon, H.-J. Chang
    Computers in Biology and Medicine, 141:105099, 2022
  15. Artificial Intelligence and Echocardiography
    Y. E. Yoon, Sekeun Kim, H.-J. Chang
    Journal of Cardiovascular Imaging, 29(3):193, 2021 Review
  16. Diagnostic Accuracy of a Novel On-Site Virtual Fractional Flow Reserve Parallel Computing System
    H. B. Park, Y. Jang, R. Arsanjani, M. T. Nguyen, S. E. Lee, B. Jeon, S. Jung, Y. Hong, S. Ha, Sekeun Kim, S. W. Lee, H.-J. Chang
    Yonsei Medical Journal, 61(2):137–144, 2020
  17. Robust Coronary Artery Segmentation in 2D X-ray Images Using Local Patch-Based Re-Connection Methods
    K. Han, B. Jeon, Sekeun Kim, Y. Jang, S. Jung, H. Shim, H.-J. Chang
    Journal of Broadcast Engineering, 24(4):592–601, 2019
  18. Three-Dimensional Cardiomyocytes Structure Revealed by Diffusion Tensor Imaging and Its Validation Using a Tissue-Clearing Technique
    S. E. Lee, C. Nguyen, J. Yoon, H.-J. Chang, Sekeun Kim, C. H. Kim, D. Li
    Scientific Reports, 8(1):6640, 2018
  19. Unraveling 3D-Myocardial Fiber Architecture by Novel Histological Technique and Correlation with Diffusion-Tensor MRI in Normal and Diseased Mice
    S. E. Lee, C. Nguyen, H.-J. Chang, J. Yoon, Sekeun Kim, C. H. Kim, N. Chung, D. Li
    Circulation, 2016

Conference Papers & Proceedings (25)

  1. Beyond Adapter Retrieval: Latent Geometry-Preserving Composition via Sparse Task Projection
    P. Jin, P. Shu, S. Song, Sekeun Kim, Q. Xiao, C. Chen, T. Liu, X. Li, Q. Li
    AAAI Conference on Artificial Intelligence (AAAI), 2026
  2. A Mixture-of-Experts Deep Learning for Automated Vulnerable Plaque Characterization and Long-Term Prognosis
    R. Scalamera, J. Chmiel, S. Andreaggi, I. McNulty, H. Lee, Q. Li, Sekeun Kim, et al.
    European Society of Cardiology (ESC) Congress, 2026
  3. A “Foundation Model” for Precision Coronary Plaque Phenotyping: Integration of Multi-Modal Imaging, Laboratory, and Clinical Data via Contrastive Learning
    J. Chmiel, S. Andreaggi, I. McNulty, H. Lee, Q. Li, Sekeun Kim, et al.
    European Society of Cardiology (ESC) Congress, 2026
  4. ECHOPulse: ECG Controlled Echocardiogram Video Generation
    Y. Li*, Sekeun Kim*, Z. Wu, H. Jiang, Y. Pan, P. Jin, S. Song, Y. Shi, X. Yu, T. Yang, T. Liu, Q. Li, X. Li
    International Conference on Learning Representations (ICLR), 2025 Co-first author
  5. Distribution-Aware Fairness Learning in Medical Image Segmentation from a Control-Theoretic Perspective
    Y. Oh, P. Jin, S. Park, Sekeun Kim, S. Yoon, K. Kim, J. S. Kim, X. Li, Q. Li
    International Conference on Machine Learning (ICML), 2025
  6. SAMed-2: Selective Memory Enhanced Medical Segment Anything Model
    Z. Yan, S. Song, D. Song, Y. Li, R. Zhou, W. Sun, Z. Chen, Sekeun Kim, H. Ren, T. Liu, Q. Li, X. Li, L. He, L. Sun
    International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025
  7. Biomedical SAM 2: Segment Anything in Biomedical Images and Videos
    Z. Yan, W. Sun, R. Zhou, Z. Yuan, K. Zhang, Y. Li, Sekeun Kim, T. Liu, Q. Li, X. Li, L. He, L. Sun
    International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025
  8. Cascaded 3D Diffusion Models for Whole-Body 3D 18F-FDG PET/CT Synthesis from Demographics
    S. Yoon, S. Song, P. Jin, M. Tivnan, Y. Oh, Sekeun Kim, D. Wu, X. Li, Q. Li
    International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025
  9. Prediction of Frozen Region Growth in Kidney Cryoablation Intervention Using a 3D Flow-Matching Model
    S. Yoon, Y. Oh, M. Tivnan, S. Song, P. Jin, Sekeun Kim, H.-J. Cho, D. Wu, R. Uppot, Q. Li
    Clinical Image-Based Procedures (CLIP), MICCAI Workshop, 2025
  10. Adaptation of Prompt-Enabled Segment-Anything-Model Enhances the Accuracy and Generalizability of Cine Cardiac Magnetic Resonance Segmentation
    Z. Chen*, Sekeun Kim*, H. Ren, X. Li
    American Heart Association (AHA) Scientific Sessions, 2024 Co-first author
  11. Temporal-Spatial Adaptation of Promptable SAM Enhances Accuracy and Generalizability of Cine CMR Segmentation
    Z. Chen*, Sekeun Kim*, H. Ren, Q. Li, X. Li
    International Workshop on Foundation Models for General Medical AI, MICCAI, 2024 Co-first author
  12. Probabilistic Brain Tumor Segmentation for Everyone
    J. Luo, C. Chen, Sekeun Kim, R. Hu, Q. Li
    ISMRM & ISMRT Annual Meeting & Exhibition, 2024
  13. Tailoring Large Language Models to Radiology: A Preliminary Approach to LLM Adaptation for a Highly Specialized Domain
    Z. Liu, A. Zhong, Y. Li, L. Yang, C. Ju, Z. Wu, C. Ma, P. Shu, C. Chen, Sekeun Kim, H. Dai, L. Zhao, D. Zhu, J. Liu, W. Liu, D. Shen, Q. Li, T. Liu, X. Li
    International Workshop on Machine Learning in Medical Imaging (MLMI), MICCAI, 2023
  14. Multi-Task Learning for Hierarchically-Structured Images: Study on Echocardiogram View Classification
    J. Charton, H. Ren, Sekeun Kim, C. Maraboto Gonzalez, J. Khambhati, J. Cheng, J. DeFrancesco, A. Waheed, S. Marciniak, F. Moura, R. Cardoso, B. Lima, M. Picard, X. Li, Q. Li
    International Workshop on Advances in Simplifying Medical Ultrasound (ASMUS), MICCAI, 2023
  15. Deep Inception Residual Network (DIRN) for Reconstruction of Undersampled Brain MR Images
    Sekeun Kim, Y. Jang
    International Society for Magnetic Resonance in Medicine (ISMRM), 2019 First author
  16. A Cascaded Two-Step Approach for Segmentation of Thoracic Organs
    Sekeun Kim, Y. Jang
    IEEE International Symposium on Biomedical Imaging (ISBI), 2019 First author
  17. Full Quantification of Left Ventricle Using Deep Multitask Network with Combination of 2D and 3D Convolution on 2D+t Cine MRI
    Y. Jang, Sekeun Kim, H. Shim, H.-J. Chang
    Statistical Atlases and Computational Models of the Heart (STACOM), MICCAI Workshop, 2018
  18. Fully Automatic Segmentation of Coronary Arteries Based on Deep Neural Network in Intravascular Ultrasound Images
    Sekeun Kim, Y. Jang, B. Jeon, Y. Hong, H. Shim, H.-J. Chang
    Intravascular Imaging and Computer Assisted Stenting (CVII-STENT), MICCAI Workshop, 2018 First author
  19. Automatic Segmentation of Coronary Arteries in Intravascular Ultrasound Images Using Convolutional Neural Networks in Polar Coordinates
    Sekeun Kim, Y. Jang, S. Ha, Y.-M. Hong, H. Shim, H.-J. Chang
    IEEE International Symposium on Biomedical Imaging (ISBI), 2018 First author
  20. Automatic Segmentation of LV and RV in Cardiac MRI
    Y. Jang, Y. Hong, S. Ha, Sekeun Kim, H.-J. Chang
    Statistical Atlases and Computational Models of the Heart (STACOM), MICCAI Workshop, 2017
  21. Coronary Luminal and Wall Mask Prediction Using a Convolutional Neural Network
    Y. Hong, Y.-M. Hong, Y. Jang, Sekeun Kim, B. Jeon, S. Jung, S. Ha, D. Han, H. Shim, H.-J. Chang
    IEEE International Symposium on Biomedical Imaging (ISBI), 2017
  22. Validation of Cardiac Diffusion Tensor MRI Using Transparent Tissue Preparation (CLARITY) with 3D Optical Microscopy
    C. T. Nguyen, S. E. Lee, J. Yoon, H.-J. Chang, Sekeun Kim, C. H. Kim, D. Li
    Proceedings of the 25th Annual Meeting of ISMRM, 2017
  23. Unraveling 3D-Myocardial Fiber Architecture by Novel Histological Technique and Correlation with Diffusion-Tensor MRI in Normal and Diseased Mice
    S. E. Lee, C. Nguyen, H.-J. Chang, J. Yoon, Sekeun Kim, C. H. Kim, N. Chung, D. Li
    Circulation (AHA Scientific Sessions Abstract), 2016
  24. Visualization of Myocardial Fiber in the Pig Heart from Diffusion Tensor Magnetic Resonance Imaging (DT-MRI)
    Sekeun Kim, Y. Jang, B. Jeon, Y. Hong, H. Shim, H.-J. Chang
    Biomedical Engineering Society for Circulation, 2016 First author
  25. Radiopaque Stereo Markers for Accelerating 2D–3D Coronary Image Registration
    Sekeun Kim, Y. Jang, S. Ha, H. Shim, H.-J. Chang
    IPIU (Workshop on Image Processing and Image Understanding), 2016 First author

Preprints (8)

  1. Voice-Interactive Surgical Agent for Multimodal Patient Data Control
    H. Park, B. M. Gu, J. H. Lee, B. H. Choi, Sekeun Kim, H. K. Kim, K. Kim
    arXiv:2511.07392, 2025
  2. OWT: A Foundational Organ-Wise Tokenization Framework for Medical Imaging
    S. Song, S. Yoon, P. Jin, Sekeun Kim, M. Tivnan, Y. Oh, R. Meng, L. Chen, Z. Lyu, D. Wu, N. Guo, X. Li, Q. Li
    arXiv:2505.04899, 2025
  3. Autonomous Robotic Ultrasound System for Liver Follow-Up Diagnosis: Pilot Phantom Study
    T. Zhang*, Sekeun Kim*, J. Charton*, H. Ma, K. Kim, N. Li, Q. Li
    arXiv:2405.05787, 2024 Co-first author
  4. Prompt-Driven Universal Model for View-Agnostic Echocardiography Analysis
    Sekeun Kim, H. Ren, P. Guo, A. R. Ali, P. Zhang, K. Kim, X. Li, Q. Li
    arXiv:2404.05916, 2024 First author
  5. Cardiac Magnetic Resonance 2D+T Short- and Long-Axis Segmentation via Spatio-Temporal SAM Adaptation
    Z. Chen*, Sekeun Kim*, H. Ren, Q. Li, X. Li
    arXiv:2403.10009, 2024 Co-first author
  6. Retrieval Instead of Fine-Tuning: A Retrieval-Based Parameter Ensemble for Zero-Shot Learning
    P. Jin, P. Shu, Sekeun Kim, Q. Xiao, S. Song, C. Chen, T. Liu, X. Li, Q. Li
    arXiv preprint, 2024
  7. Radiology-Llama2: Best-in-Class Large Language Model for Radiology
    Z. Liu, Y. Li, P. Shu, A. Zhong, L. Yang, C. Ju, Z. Wu, C. Ma, J. Luo, C. Chen, Sekeun Kim, J. Hu, H. Dai, L. Zhao, D. Zhu, J. Liu, W. Liu, D. Shen, T. Liu, Q. Li, X. Li
    arXiv:2309.06419, 2023
  8. Bayesian Approaches for Quantifying Clinicians’ Variability in Medical Image Quantification
    J. Jeon, Y. Jang, Y. Hong, H. Shim, Sekeun Kim
    arXiv:2207.01868, 2022

Patents (1)

  1. Method and Device for Detecting Medical Indices in Medical Images
    Sekeun Kim, H.-J. Shim, Y.-T. Hong, S.-M. Ha, S.-H. Maeng
    U.S. Patent Application 18/548,074, 2024