Byunghwan Jeon

According to our database, Byunghwan Jeon authored at least 15 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Scalable Learning Framework for Detecting New Types of Twitter Spam with Misuse and Anomaly Detection.

Jaeun Choi, Byunghwan Jeon, Chunmi Jeon

Sensors, April, 2024

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, June, 2023

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

2022

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

2021

Deep Recursive Bayesian Tracking for Fully Automatic Centerline Extraction of Coronary Arteries in CT Images.

Byunghwan Jeon

Sensors, 2021

Deep Reinforcement Learning with Explicit Spatio-Sequential Encoding Network for Coronary Ostia Identification in CT Images.

Yeonggul Jang, Byunghwan Jeon

Sensors, 2021

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

2020

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

2019

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

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

Proceedings of the Intravascular Imaging and Computer Assisted Stenting - and - Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, 2018

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

Proceedings of the Simulation and Synthesis in Medical Imaging, 2018

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

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

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2014

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

2012

Core-Shell Detection in Images of Polymer Microbeads.

Yeonggul Jang, Byunghwan Jeon, Yoojin Chung

Proceedings of the Computer Applications for Bio-technology, Multimedia, and Ubiquitous City, 2012