default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDYeonggul Jang
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 22:21 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
