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Yeonggul Jang
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2020 – today
- 2024
- [c10]Jaeik Jeon, Jiyeon Kim, Yeonggul Jang, Yeonyee E. Yoon, Dawun Jeong, Youngtaek Hong, Seung-Ah Lee, Hyuk-Jae Chang:
A Unified Approach For Comprehensive Analysis of Various Spectral and Tissue Doppler Echocardiography. ISBI 2024: 1-5 - 2023
- [j11]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) - [j10]Sekeun Kim
, Zhenxiang Jiang, Byron A. Zambrano, Yeonggul Jang
, Seungik Baek
, Sun K. Yoo
, Hyuk-Jae Chang
:
Deep Learning on Multiphysical Features and Hemodynamic Modeling for Abdominal Aortic Aneurysm Growth Prediction. IEEE Trans. Medical Imaging 42(1): 196-208 (2023) - [i4]Jaeik Jeon, Seongmin Ha, Yeonyee E. Yoon, Jiyeon Kim, Hyunseok Jeong, Dawun Jeong, Yeonggul Jang, Youngtaek Hong, Hyuk-Jae Chang:
Echocardiographic View Classification with Integrated Out-of-Distribution Detection for Enhanced Automatic Echocardiographic Analysis. CoRR abs/2308.16483 (2023) - [i3]Jina Lee, Youngtaek Hong, Dawun Jeong, Yeonggul Jang, Sihyeon Jeong, Taekgeun Jung, Yeonyee E. Yoon, Inki Moon, Seung-Ah Lee, Hyuk-Jae Chang:
Self supervised convolutional kernel based handcrafted feature harmonization: Enhanced left ventricle hypertension disease phenotyping on echocardiography. CoRR abs/2310.08897 (2023) - [i2]Jaeik Jeon, Jiyeon Kim, Yeonggul Jang, Yeonyee E. Yoon, Dawun Jeong, Youngtaek Hong, Seung-Ah Lee, Hyuk-Jae Chang:
A Unified Approach for Comprehensive Analysis of Various Spectral and Tissue Doppler Echocardiography. CoRR abs/2311.08439 (2023) - 2022
- [j9]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) - [i1]Jaeik Jeon, Yeonggul Jang, Youngtaek Hong, Hackjoon Shim, Sekeun Kim:
Bayesian approaches for Quantifying Clinicians' Variability in Medical Image Quantification. CoRR abs/2207.01868 (2022) - 2021
- [j8]Kyeongjin Ann
, Yeonggul Jang
, Hackjoon Shim
, Hyuk-Jae Chang
:
Multi-Scale Conditional Generative Adversarial Network for Small-Sized Lung Nodules Using Class Activation Region Influence Maximization. IEEE Access 9: 139426-139437 (2021) - [j7]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) - [j6]Wufeng Xue
, Jiahui Li, Zhiqiang Hu
, Eric Kerfoot
, James R. Clough
, Ilkay Öksüz
, Hao Xu, Vicente Grau
, Fumin Guo, Matthew Ng
, Xiang Li
, Quanzheng Li
, Lihong Liu, Jin Ma, Elias Grinias
, Georgios Tziritas
, Wenjun Yan, Angélica Atehortúa, Mireille Garreau
, Yeonggul Jang
, Alejandro Debus, Enzo Ferrante
, Guanyu Yang
, Tiancong Hua, Shuo Li
:
Left Ventricle Quantification Challenge: A Comprehensive Comparison and Evaluation of Segmentation and Regression for Mid-Ventricular Short-Axis Cardiac MR Data. IEEE J. Biomed. Health Informatics 25(9): 3541-3553 (2021) - 2020
- [j5]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
- [j4]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) - [c9]Sekeun Kim, Yeonggul Jang, Kyunghoon Han, Hackjoon Shim, Hyuk-Jae Chang:
A Cascaded Two-step Approach For Segmentation of Thoracic Organs. SegTHOR@ISBI 2019 - 2018
- [j3]Olivier Bernard
, Alain Lalande
, Clément Zotti
, Frederic Cervenansky, Xin Yang, Pheng-Ann Heng
, Irem Cetin
, Karim Lekadir, Oscar Camara
, Miguel Ángel González Ballester, Gerard Sanroma, Sandy Napel, Steffen E. Petersen
, Georgios Tziritas
, Elias Grinias, Mahendra Khened, Alex Varghese, Ganapathy Krishnamurthi, Marc-Michel Rohé, Xavier Pennec
, Maxime Sermesant
, Fabian Isensee, Paul Jäger, Klaus H. Maier-Hein
, Peter M. Full, Ivo Wolf
, Sandy Engelhardt, Christian F. Baumgartner
, Lisa M. Koch
, Jelmer M. Wolterink
, Ivana Isgum, Yeonggul Jang, Yoonmi Hong
, Jay Patravali, Shubham Jain
, Olivier Humbert, Pierre-Marc Jodoin
:
Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved? IEEE Trans. Medical Imaging 37(11): 2514-2525 (2018) - [c8]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 - [c7]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 - [c6]Yeonggul Jang, Sekeun Kim, Hackjoon Shim, Hyuk-Jae Chang:
Full Quantification of Left Ventricle Using Deep Multitask Network with Combination of 2D and 3D Convolution on 2D + t Cine MRI. STACOM@MICCAI 2018: 476-483 - 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) - [c5]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 - [c4]Yeonggul Jang, Yoonmi Hong, Seongmin Ha, Sekeun Kim, Hyuk-Jae Chang:
Automatic Segmentation of LV and RV in Cardiac MRI. STACOM@MICCAI 2017: 161-169 - 2016
- [j1]Yeonggul Jang, Ho Yub Jung, Youngtaek Hong, Iksung Cho
, Hackjoon Shim, Hyuk-Jae Chang
:
Geodesic Distance Algorithm for Extracting the Ascending Aorta from 3D CT Images. Comput. Math. Methods Medicine 2016: 4561979:1-4561979:7 (2016) - 2012
- [c3]Yeonggul Jang, Byunghwan Jeon, Yoojin Chung:
Core-Shell Detection in Images of Polymer Microbeads. FGIT-MulGraB/BSBT/IUrC 2012: 9-15 - 2011
- [c2]Yeonggul Jang, Hackjoon Shim, Yoojin Chung:
Volume-Rendering of Mitochondrial Transports Using VTK. FGIT-ASEA/DRBC/EL 2011: 56-60 - [c1]Yeonggul Jang, Hackjoon Shim, Yoojin Chung:
Mask-Rendering of Mitochondrial Transports Using VTK. FGIT-DTA/BSBT 2011: 161-166
Coauthor Index
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last updated on 2024-09-07 01:01 CEST by the dblp team
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