Byunghwan Jeon

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 13

Top Topics

Fully Automatic

Coronary Artery

Anatomical Landmarks

Top Venues

Pattern Recognit.

Comput. Biol. Medicine

Publications

Jaeun Choi, Byunghwan Jeon, Chunmi Jeon
Scalable Learning Framework for Detecting New Types of Twitter Spam with Misuse and Anomaly Detection. Sensors 24 (7) (2024)
Kyunghoon Han, Heejoon Koo, Sunghee Jung, Hyung-Bok Park, Youngtaek Hong, Hackjoon Shim, Byunghwan Jeon, Hyuk-Jae Chang
Reconstruction of Partially Broken Vascular Structures in X-Ray Images via Vesselness-Loss-Based Multi-Scale Generative Adversarial Networks. IEEE Access 11 (2023)
Jina Lee, Jaeik Jeon, Youngtaek Hong, Dawun Jeong, Yeonggul Jang, Byunghwan Jeon, Hye Jin Baek, Eun Cho, Hackjoon Shim, Hyuk-Jae Chang
Generative adversarial network with radiomic feature reproducibility analysis for computed tomography denoising. Comput. Biol. Medicine 159 (2023)
Kyunghoon Han, Jaeik Jeon, Yeonggul Jang, Sunghee Jung, Sekeun Kim, Hackjoon Shim, Byunghwan Jeon, Hyuk-Jae Chang
Reconnection of fragmented parts of coronary arteries using local geometric features in X-ray angiography images. Comput. Biol. Medicine 141 (2022)
Yeonggul Jang, Byunghwan Jeon
Deep Reinforcement Learning with Explicit Spatio-Sequential Encoding Network for Coronary Ostia Identification in CT Images. Sensors 21 (18) (2021)
Byunghwan Jeon
Deep Recursive Bayesian Tracking for Fully Automatic Centerline Extraction of Coronary Arteries in CT Images. Sensors 21 (18) (2021)
Byunghwan Jeon, Sunghee Jung, Hackjoon Shim, Hyuk-Jae Chang
Bayesian Estimation of Geometric Morphometric Landmarks for Simultaneous Localization of Multiple Anatomies in Cardiac CT Images. Entropy 23 (1) (2021)
Sunghee Jung, Soochahn Lee, Byunghwan Jeon, Yeonggul Jang, Hyuk-Jae Chang
Deep Learning Cross-Phase Style Transfer for Motion Artifact Correction in Coronary Computed Tomography Angiography. IEEE Access 8 (2020)
Byunghwan Jeon, Yeonggul Jang, Hackjoon Shim, Hyuk-Jae Chang
Identification of coronary arteries in CT images by Bayesian analysis of geometric relations among anatomical landmarks. Pattern Recognit. 96 (2019)
Sunghee Jung, Soochahn Lee, Byunghwan Jeon, Yeonggul Jang, Hyuk-Jae Chang
Deep Learning Based Coronary Artery Motion Artifact Compensation Using Style-Transfer Synthesis in CT Images. SASHIMI@MICCAI (2018)
Sekeun Kim, Yeonggul Jang, Byunghwan Jeon, Youngtaek Hong, Hackjoon Shim, Hyuk-Jae Chang
Fully Automatic Segmentation of Coronary Arteries Based on Deep Neural Network in Intravascular Ultrasound Images. CVII-STENT/LABELS@MICCAI (2018)
Youngtaek Hong, Yoonmi Hong, Yeonggul Jang, Sekeun Kim, Byunghwan Jeon, Sunghee Jung, Seongmin Ha, Dongjin Han, Hackjoon Shim, Hyuk-Jae Chang
Coronary luminal and wall mask prediction using convolutional neural network. ISBI (2017)
Byunghwan Jeon, Yoonmi Hong, Dongjin Han, Yeonggul Jang, Sunghee Jung, Youngtaek Hong, Seongmin Ha, Hackjoon Shim, Hyuk-Jae Chang
Maximum a posteriori estimation method for aorta localization and coronary seed identification. Pattern Recognit. 68 (2017)
Dongjin Han, Nam-Thai Doan, Hackjoon Shim, Byunghwan Jeon, Hyunna Lee, Youngtaek Hong, Hyuk-Jae Chang
A fast seed detection using local geometrical feature for automatic tracking of coronary arteries in CTA. Comput. Methods Programs Biomed. 117 (2) (2014)
Yeonggul Jang, Byunghwan Jeon, Yoojin Chung
Core-Shell Detection in Images of Polymer Microbeads. FGIT-MulGraB/BSBT/IUrC (2012)