Scholar
Sekeun Kim
Google Scholar ID: tU6pacYAAAAJ
Massachusetts General Hospital / Harvard Medical School
Citations & Impact
Citations
2,828
H-index
12
i10-index
13
Publications
20
Co-authors
8
list available
Contact
Publications
Resume (English only)
Academic Achievements
- June 2025: Our paper 'EchoFM: Foundation Model for Generalizable Echocardiogram Analysis' was accepted by IEEE Transactions on Medical Imaging.
- June 2025: Our paper 'SAMed-2: Segment Anything in Medical Images via Temporal Awareness and Confidence-Driven Memory' was accepted by MICCAI 2025.
- June 2025: Our paper 'Cascaded 3D Diffusion Models for Whole-body 3D 18-FDG PET/CT synthesis from Demographics' was accepted by MICCAI 2025.
- May 2025: Our paper 'Cine Cardiac Magnetic Resonance Segmentation using Temporal-spatial Adaptation of Prompt-enabled Segment-Anything-Model: A Feasibility Study' was accepted by Journal of Cardiovascular Magnetic Resonance.
- May 2025: Our paper 'Distribution-aware Fairness Learning in Medical Image Segmentation From A Control-Theoretic Perspective' was accepted by ICML 2025.
- February 2025: Our paper 'MediViSTA-SAM' was accepted by IEEE Journal of Biomedical and Health Informatics.
- January 2025: Our paper 'ECHOPulse' was accepted by ICLR 2025.
- September 2024: Postdoctoral Fellowship, National Research Foundation, Korea.
- August 2024: Our paper 'Ma-sam: Modality-agnostic sam adaptation for 3d medical image segmentation' is available on Medical Image Analysis.
- August 2024: Our paper 'Temporal-spatial Adaptation of Promptable SAM Enhances Accuracy and Generalizability of Cine CMR Segmentation' presented at the 2nd International Workshop on Foundation Models for General Medical AI (MICCAI).
- May 2024: Our paper 'Autonomous Robotic Ultrasound System for Liver Follow-up Diagnosis: Pilot Phantom Study' is available on arxiv.
- April 2024: Presented talks at Korea-Anam Hospital, Soongsil University, Dong-Ah University, and Pusan University.
- April 2024: Our paper 'A Prompt-driven Universal Model for View-Agnostic Echocardiography Analysis' is available on arxiv.
- March 2024: Our paper 'Cardiac Magnetic Resonance 2D+T Short- and Long-axis Segmentation via Spatio-temporal SAM Adaptation' is available on arxiv.
- January 2024: Presented a talk at Korea ANAM University.
- January 2024: Our paper 'Assessment of Valve Regurgitation Severity via Contrastive Learning and Multi-view Video Integration' was accepted by Physics in Medicine and Biology.
- September 2023: Our paper 'MediViSTA-SAM: Zero-shot Medical Video Analysis with Spatio-temporal SAM Adaptation' is available on arxiv.
- June 2023: Our paper 'Tailoring Large Language Models to Radiology: A preliminary approach to LLM adaptation for a highly specialized domain'
Research Experience
- Currently, a postdoctoral research fellow at the Center for Advanced Medical Computing and Analysis, Harvard Medical School/Massachusetts General Hospital, working with Prof. Quanzheng Li.
Background
- My research lies in the interdisciplinary areas of artificial intelligence and medical image analysis, aiming at advancing healthcare with machine intelligence. I am currently a postdoctoral research fellow at the Center for Advanced Medical Computing and Analysis, Harvard Medical School/Massachusetts General Hospital, working with Prof. Quanzheng Li.
