Coronary luminal and wall mask prediction using convolutional neural network. - Youngtaek Hong; Yoonmi Hong; Yeonggul Jang; Sekeun Kim; Byunghwan Jeon; Sunghee Jung; Seongmin Ha; Dongjin Han; Hackjoon Shim; Hyuk-Jae Chang (ISBI, 2017)

Automatic Segmentation of LV and RV in Cardiac MRI. - Yeonggul Jang; Yoonmi Hong; Seongmin Ha; Sekeun Kim; Hyuk-Jae Chang (STACOM@MICCAI, 2017)

Full Quantification of Left Ventricle Using Deep Multitask Network with Combination of 2D and 3D Convolution on 2D + t Cine MRI. - Yeonggul Jang; Sekeun Kim; Hackjoon Shim; Hyuk-Jae Chang (STACOM@MICCAI, 2018)

Fully Automatic Segmentation of Coronary Arteries Based on Deep Neural Network in Intravascular Ultrasound Images. - Sekeun Kim; Yeonggul Jang; Byunghwan Jeon; Youngtaek Hong; Hackjoon Shim; Hyuk-Jae Chang (CVII-STENT/LABELS@MICCAI, 2018)

A Cascaded Two-step Approach For Segmentation of Thoracic Organs. - Sekeun Kim; Yeonggul Jang; Kyunghoon Han; Hackjoon Shim; Hyuk-Jae Chang (SegTHOR@ISBI, 2019)

Reconnection of fragmented parts of coronary arteries using local geometric features in X-ray angiography images. - Kyunghoon Han; Jaeik Jeon; Yeonggul Jang; Sunghee Jung; Sekeun Kim; Hackjoon Shim; Byunghwan Jeon; Hyuk-Jae Chang (Comput. Biol. Medicine, 2022)

Bayesian approaches for Quantifying Clinicians' Variability in Medical Image Quantification. - Jaeik Jeon; Yeonggul Jang; Youngtaek Hong; Hackjoon Shim; Sekeun Kim (CoRR, 2022)

Multi-task Learning for Hierarchically-Structured Images: Study on Echocardiogram View Classification. - Jerome Charton; Hui Ren 001; Sekeun Kim; Carola Maraboto Gonzalez; Jay Khambhati; Justin Cheng; Jeena DeFrancesco; Anam A. Waheed; Sylwia Marciniak; Filipe Moura; Rhanderson Cardoso; Bruno B. Lima; et al. (ASMUS@MICCAI, 2023)

Tailoring Large Language Models to Radiology: A Preliminary Approach to LLM Adaptation for a Highly Specialized Domain. - Zhengliang Liu; Aoxiao Zhong; Yiwei Li 002; Longtao Yang; Chao Ju; Zihao Wu 001; Chong Ma; Peng Shu; Cheng Chen 013; Sekeun Kim; Haixing Dai; Lin Zhao 004; et al. (MLMI@MICCAI (1), 2023)

Radiology-GPT: A Large Language Model for Radiology. - Zhengliang Liu; Aoxiao Zhong; Yiwei Li 002; Longtao Yang; Chao Ju; Zihao Wu 001; Chong Ma; Peng Shu; Cheng Chen 013; Sekeun Kim; Haixing Dai; Lin Zhao 004; et al. (CoRR, 2023)

Radiology-Llama2: Best-in-Class Large Language Model for Radiology. - Zhengliang Liu; Yiwei Li 002; Peng Shu; Aoxiao Zhong; Longtao Yang; Chao Ju; Zihao Wu 001; Chong Ma; Jie Luo 003; Cheng Chen 013; Sekeun Kim; Jiang Hu; et al. (CoRR, 2023)

Deep Learning on Multiphysical Features and Hemodynamic Modeling for Abdominal Aortic Aneurysm Growth Prediction. - Sekeun Kim; Zhenxiang Jiang; Byron A. Zambrano; Yeonggul Jang; Seungik Baek; Sun K. Yoo; Hyuk-Jae Chang (IEEE Trans. Medical Imaging, 2023)

Temporal-Spatial Adaptation of Promptable SAM Enhance Accuracy and Generalizability of Cine CMR Segmentation. - Zhennong Chen; Sekeun Kim; Hui Ren 001; Quanzheng Li; Xiang Li 001 (MedAGI@MICCAI, 2024)

Cardiac Magnetic Resonance 2D+T Short- and Long-axis Segmentation via Spatio-temporal SAM Adaptation. - Zhennong Chen; Sekeun Kim; Hui Ren 001; Quanzheng Li; Xiang Li 001 (CoRR, 2024)

Prompt-driven Universal Model for View-Agnostic Echocardiography Analysis. - Sekeun Kim; Hui Ren 001; Peng Guo; Abder-Rahman Ali; Patrick Zhang; Kyungsang Kim; Xiang Li 001; Quanzheng Li (CoRR, 2024)

Autonomous Robotic Ultrasound System for Liver Follow-up Diagnosis: Pilot Phantom Study. - Tianpeng Zhang; Sekeun Kim; Jerome Charton; Haitong Ma; Kyungsang Kim; Na Li 002; Quanzheng Li (CoRR, 2024)

ECHOPulse: ECG controlled echocardio-grams video generation. - Yiwei Li 002; Sekeun Kim; Zihao Wu 001; Hanqi Jiang; Yi Pan 001; Pengfei Jin; Sifan Song; Yucheng Shi; Tianming Liu 001; Quanzheng Li; Xiang Li 001 (CoRR, 2024)

Retrieval Instead of Fine-tuning: A Retrieval-based Parameter Ensemble for Zero-shot Learning. - Pengfei Jin; Peng Shu; Sekeun Kim; Qing Xiao 003; Sifan Song; Cheng Chen 013; Tianming Liu 001; Xiang Li 001; Quanzheng Li (CoRR, 2024)

EchoFM: Foundation Model for Generalizable Echocardiogram Analysis. - Sekeun Kim; Pengfei Jin; Sifan Song; Cheng Chen 013; Yiwei Li 002; Hui Ren 001; Xiang Li 001; Tianming Liu 001; Quanzheng Li (CoRR, 2024)

MA-SAM: Modality-agnostic SAM adaptation for 3D medical image segmentation. - Cheng Chen 013; Juzheng Miao; Dufan Wu; Aoxiao Zhong; Zhiling Yan; Sekeun Kim; Jiang Hu; Zhengliang Liu; Lichao Sun 001; Xiang Li 001; Tianming Liu 001; Pheng-Ann Heng; et al. (Medical Image Anal., 2024)

ECHOPulse: ECG Controlled Echocardio-gram Video Generation. - Yiwei Li 002; Sekeun Kim; Zihao Wu 001; Hanqi Jiang; Yi Pan 001; Pengfei Jin; Sifan Song; Yucheng Shi; Xiaowei Yu; Tianze Yang; Tianming Liu 001; Quanzheng Li; et al. (ICLR, 2025)

Distribution-aware Fairness Learning in Medical Image Segmentation From A Control-Theoretic Perspective. - Yujin Oh; Pengfei Jin; Sangjoon Park; Sekeun Kim; Siyeop Yoon; Kyungsang Kim; Jin Sung Kim; Xiang Li 001; Quanzheng Li (CoRR, 2025)

Prediction of Frozen Region Growth in Kidney Cryoablation Intervention Using a 3D Flow-Matching Model. - Siyeop Yoon; Yujin Oh; Matthew Tivnan; Sifan Song; Pengfei Jin; Sekeun Kim; Hyun Jin Cho; Dufan Wu; Raul Uppot; Quanzheng Li (CoRR, 2025)

OWT: A Foundational Organ-Wise Tokenization Framework for Medical Imaging. - Sifan Song; Siyeop Yoon; Pengfei Jin; Sekeun Kim; Matthew Tivnan; Yujin Oh; Runqi Meng; Ling Chen; Zhiliang Lyu; Dufan Wu; Ning Guo; Xiang Li 001; et al. (CoRR, 2025)

Cascaded 3D Diffusion Models for Whole-body 3D 18-F FDG PET/CT synthesis from Demographics. - Siyeop Yoon; Sifan Song; Pengfei Jin; Matthew Tivnan; Yujin Oh; Sekeun Kim; Dufan Wu; Xiang Li 001; Quanzheng Li (CoRR, 2025)

SAMed-2: Selective Memory Enhanced Medical Segment Anything Model. - Zhiling Yan; Sifan Song; Dingjie Song; Yiwei Li 002; Rong Zhou; Weixiang Sun; Zhennong Chen; Sekeun Kim; Hui Ren 001; Tianming Liu 001; Quanzheng Li; Xiang Li 001; et al. (CoRR, 2025)