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2020 – today
- 2024
[j11]Jaeun Choi
, Byunghwan Jeon, Chunmi Jeon:
Scalable Learning Framework for Detecting New Types of Twitter Spam with Misuse and Anomaly Detection. Sensors 24(7): 2263 (2024)- [c5]Jongum Yoon, Sunghee Jung, Byunghwan Jeon:
Deep Reinforcement Learning with Multiple Centerline-Guidance for Localization of Left Atrial Appendage Orifice from CT Images. MLMI@MICCAI (1) 2024: 63-72 - [i1]Chris Hyunchul Jo, Jiwoong Yang, Byunghwan Jeon, Hackjoon Shim, Ikbeom Jang:
Preoperative Rotator Cuff Tear Prediction from Shoulder Radiographs using a Convolutional Block Attention Module-Integrated Neural Network. CoRR abs/2408.09894 (2024) - 2023
- [j10]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: 86335-86350 (2023) - [j9]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: 106931 (2023) - 2022
- [j8]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: 105099 (2022) - 2021
- [j7]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): 64 (2021) - [j6]Byunghwan Jeon:
Deep Recursive Bayesian Tracking for Fully Automatic Centerline Extraction of Coronary Arteries in CT Images. Sensors 21(18): 6087 (2021) - [j5]Yeonggul Jang, Byunghwan Jeon:
Deep Reinforcement Learning with Explicit Spatio-Sequential Encoding Network for Coronary Ostia Identification in CT Images. Sensors 21(18): 6187 (2021) - 2020
- [j4]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: 81849-81863 (2020)
2010 – 2019
- 2019
- [j3]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) - 2018
- [c4]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: 100-110 - [c3]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: 161-168 - 2017
- [j2]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: 222-232 (2017) - [c2]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: 1049-1052 - 2014
- [j1]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): 179-188 (2014) - 2012
- [c1]Yeonggul Jang, Byunghwan Jeon, Yoojin Chung:
Core-Shell Detection in Images of Polymer Microbeads. FGIT-MulGraB/BSBT/IUrC 2012: 9-15
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