Core-Shell Detection in Images of Polymer Microbeads. - Yeonggul Jang; Byunghwan Jeon; Yoojin Chung (FGIT-MulGraB/BSBT/IUrC, 2012)

A fast seed detection using local geometrical feature for automatic tracking of coronary arteries in CTA. - Dongjin Han; Nam-Thai Doan; Hackjoon Shim; Byunghwan Jeon; Hyunna Lee; Youngtaek Hong; Hyuk-Jae Chang (Comput. Methods Programs Biomed., 2014)

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)

Maximum a posteriori estimation method for aorta localization and coronary seed identification. - Byunghwan Jeon; Yoonmi Hong; Dongjin Han; Yeonggul Jang; Sunghee Jung; Youngtaek Hong; Seongmin Ha; Hackjoon Shim; Hyuk-Jae Chang (Pattern Recognit., 2017)

Deep Learning Based Coronary Artery Motion Artifact Compensation Using Style-Transfer Synthesis in CT Images. - Sunghee Jung; Soochahn Lee; Byunghwan Jeon; Yeonggul Jang; Hyuk-Jae Chang (SASHIMI@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)

Identification of coronary arteries in CT images by Bayesian analysis of geometric relations among anatomical landmarks. - Byunghwan Jeon; Yeonggul Jang; Hackjoon Shim; Hyuk-Jae Chang (Pattern Recognit., 2019)

Deep Learning Cross-Phase Style Transfer for Motion Artifact Correction in Coronary Computed Tomography Angiography. - Sunghee Jung; Soochahn Lee; Byunghwan Jeon; Yeonggul Jang; Hyuk-Jae Chang (IEEE Access, 2020)

Bayesian Estimation of Geometric Morphometric Landmarks for Simultaneous Localization of Multiple Anatomies in Cardiac CT Images. - Byunghwan Jeon; Sunghee Jung; Hackjoon Shim; Hyuk-Jae Chang (Entropy, 2021)

Deep Reinforcement Learning with Explicit Spatio-Sequential Encoding Network for Coronary Ostia Identification in CT Images. - Yeonggul Jang; Byunghwan Jeon (Sensors, 2021)

Deep Recursive Bayesian Tracking for Fully Automatic Centerline Extraction of Coronary Arteries in CT Images. - Byunghwan Jeon (Sensors, 2021)

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)

Reconstruction of Partially Broken Vascular Structures in X-Ray Images via Vesselness-Loss-Based Multi-Scale Generative Adversarial Networks. - Kyunghoon Han; Heejoon Koo; Sunghee Jung; Hyung-Bok Park; Youngtaek Hong; Hackjoon Shim; Byunghwan Jeon; Hyuk-Jae Chang (IEEE Access, 2023)

Generative adversarial network with radiomic feature reproducibility analysis for computed tomography denoising. - Jina Lee; Jaeik Jeon; Youngtaek Hong; Dawun Jeong; Yeonggul Jang; Byunghwan Jeon; Hye Jin Baek; Eun Cho; Hackjoon Shim; Hyuk-Jae Chang (Comput. Biol. Medicine, 2023)

Deep Reinforcement Learning with Multiple Centerline-Guidance for Localization of Left Atrial Appendage Orifice from CT Images. - Jongum Yoon; Sunghee Jung; Byunghwan Jeon (MLMI@MICCAI (1), 2024)

Preoperative Rotator Cuff Tear Prediction from Shoulder Radiographs using a Convolutional Block Attention Module-Integrated Neural Network. - Chris Hyunchul Jo; Jiwoong Yang; Byunghwan Jeon; Hackjoon Shim; Ikbeom Jang (CoRR, 2024)

Scalable Learning Framework for Detecting New Types of Twitter Spam with Misuse and Anomaly Detection. - Jaeun Choi; Byunghwan Jeon; Chunmi Jeon (Sensors, 2024)

Deep reinforcement learning for efficient registration between intraoral-scan meshes and CT images. - Seungpil Choi; Seoyeon Jang; Sunghee Jung; Heon Jae Cho; Byunghwan Jeon (Pattern Recognit., 2025)