Jang, Yeonggul
39  results:
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1

Artificial intelligence-enhanced automation for M-mode echo..:

Jeong, Dawun ; Jung, Sunghee ; Yoon, Yeonyee E....
The International Journal of Cardiovascular Imaging.  40 (2024)  6 - p. 1245-1256 , 2024
 
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3

Generative adversarial network with radiomic feature reprod..:

Lee, Jina ; Jeon, Jaeik ; Hong, Youngtaek...
Computers in Biology and Medicine.  159 (2023)  - p. 106931 , 2023
 
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Deep Learning on Multiphysical Features and Hemodynamic Mod..:

Kim, Sekeun ; Jiang, Zhenxiang ; Zambrano, Byron A....
IEEE Transactions on Medical Imaging.  42 (2023)  1 - p. 196-208 , 2023
 
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5

Reconnection of fragmented parts of coronary arteries using..:

Han, Kyunghoon ; Jeon, Jaeik ; Jang, Yeonggul...
Computers in Biology and Medicine.  141 (2022)  - p. 105099 , 2022
 
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12

Full Quantification of Left Ventricle Using Deep Multitask ..:

, In: Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges; Lecture Notes in Computer Science,
Jang, Yeonggul ; Kim, Sekeun ; Shim, Hackjoon. - p. 476-483 , 2019
 
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13

Fully Automatic Segmentation of Coronary Arteries Based on ..:

, In: Intravascular Imaging and Computer Assisted Stenting and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis; Lecture Notes in Computer Science,
Kim, Sekeun ; Jang, Yeonggul ; Jeon, Byunghwan... - p. 161-168 , 2018
 
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14

Deep Learning Based Coronary Artery Motion Artifact Compens..:

, In: Simulation and Synthesis in Medical Imaging; Lecture Notes in Computer Science,
Jung, Sunghee ; Lee, Soochahn ; Jeon, Byunghwan.. - p. 100-110 , 2018
 
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