Byunghwan Jeon

19 papers Journal 14Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Deep reinforcement learning for efficient registration between intraoral-scan meshes and CT images. Pattern Recognit. Seungpil Choi, Seoyeon Jang, Sunghee Jung, Heon Jae Cho, Byunghwan Jeon
2025	J	`jnl`	Reinforcement Learning-Based Centerline Tracking With Cross-Sectional Similarity for Enhancing Mandibular Canal Segmentation. IEEE Access Seoyeon Jang, Seungpil Choi, Byunghwan Jeon
2024	—	`conf`	Deep Reinforcement Learning with Multiple Centerline-Guidance for Localization of Left Atrial Appendage Orifice from CT Images. MLMI@MICCAI (1) Jongum Yoon, Sunghee Jung, Byunghwan Jeon
2024	J	`jnl`	Preoperative Rotator Cuff Tear Prediction from Shoulder Radiographs using a Convolutional Block Attention Module-Integrated Neural Network. CoRR Chris Hyunchul Jo, Jiwoong Yang, Byunghwan Jeon, Hackjoon Shim, Ikbeom Jang
2024	J	`jnl`	Scalable Learning Framework for Detecting New Types of Twitter Spam with Misuse and Anomaly Detection. Sensors Jaeun Choi, Byunghwan Jeon, Chunmi Jeon
2023	J	`jnl`	Generative adversarial network with radiomic feature reproducibility analysis for computed tomography denoising. Comput. Biol. Medicine Jina Lee, Jaeik Jeon, Youngtaek Hong, Dawun Jeong, Yeonggul Jang, Byunghwan Jeon, Hye Jin Baek, Eun Cho, Hackjoon Shim, Hyuk-Jae Chang
2023	J	`jnl`	Reconstruction of Partially Broken Vascular Structures in X-Ray Images via Vesselness-Loss-Based Multi-Scale Generative Adversarial Networks. IEEE Access Kyunghoon Han, Heejoon Koo, Sunghee Jung, Hyung-Bok Park, Youngtaek Hong, Hackjoon Shim, Byunghwan Jeon, Hyuk-Jae Chang
2022	J	`jnl`	Reconnection of fragmented parts of coronary arteries using local geometric features in X-ray angiography images. Comput. Biol. Medicine Kyunghoon Han, Jaeik Jeon, Yeonggul Jang, Sunghee Jung, Sekeun Kim, Hackjoon Shim, Byunghwan Jeon, Hyuk-Jae Chang
2021	J	`jnl`	Bayesian Estimation of Geometric Morphometric Landmarks for Simultaneous Localization of Multiple Anatomies in Cardiac CT Images. Entropy Byunghwan Jeon, Sunghee Jung, Hackjoon Shim, Hyuk-Jae Chang
2021	J	`jnl`	Deep Recursive Bayesian Tracking for Fully Automatic Centerline Extraction of Coronary Arteries in CT Images. Sensors Byunghwan Jeon
2021	J	`jnl`	Deep Reinforcement Learning with Explicit Spatio-Sequential Encoding Network for Coronary Ostia Identification in CT Images. Sensors Yeonggul Jang, Byunghwan Jeon
2020	J	`jnl`	Deep Learning Cross-Phase Style Transfer for Motion Artifact Correction in Coronary Computed Tomography Angiography. IEEE Access Sunghee Jung, Soochahn Lee, Byunghwan Jeon, Yeonggul Jang, Hyuk-Jae Chang
2019	J	`jnl`	Identification of coronary arteries in CT images by Bayesian analysis of geometric relations among anatomical landmarks. Pattern Recognit. Byunghwan Jeon, Yeonggul Jang, Hackjoon Shim, Hyuk-Jae Chang
2018	—	`conf`	Deep Learning Based Coronary Artery Motion Artifact Compensation Using Style-Transfer Synthesis in CT Images. SASHIMI@MICCAI Sunghee Jung, Soochahn Lee, Byunghwan Jeon, Yeonggul Jang, Hyuk-Jae Chang
2018	—	`conf`	Fully Automatic Segmentation of Coronary Arteries Based on Deep Neural Network in Intravascular Ultrasound Images. CVII-STENT/LABELS@MICCAI Sekeun Kim, Yeonggul Jang, Byunghwan Jeon, Youngtaek Hong, Hackjoon Shim, Hyuk-Jae Chang
2017	—	`conf`	Coronary luminal and wall mask prediction using convolutional neural network. ISBI Youngtaek Hong, Yoonmi Hong, Yeonggul Jang, Sekeun Kim, Byunghwan Jeon, Sunghee Jung, Seongmin Ha, Dongjin Han, Hackjoon Shim, Hyuk-Jae Chang
2017	J	`jnl`	Maximum a posteriori estimation method for aorta localization and coronary seed identification. Pattern Recognit. Byunghwan Jeon, Yoonmi Hong, Dongjin Han, Yeonggul Jang, Sunghee Jung, Youngtaek Hong, Seongmin Ha, Hackjoon Shim, Hyuk-Jae Chang
2014	J	`jnl`	A fast seed detection using local geometrical feature for automatic tracking of coronary arteries in CTA. Comput. Methods Programs Biomed. Dongjin Han, Nam-Thai Doan, Hackjoon Shim, Byunghwan Jeon, Hyunna Lee, Youngtaek Hong, Hyuk-Jae Chang
2012	—	`conf`	Core-Shell Detection in Images of Polymer Microbeads. FGIT-MulGraB/BSBT/IUrC Yeonggul Jang, Byunghwan Jeon, Yoojin Chung