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Disambiguation of "Jang, Yeonggul"

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Deep Learning Based Coronary Artery Motion Artifact Compensation Using Style-Transfer Synthesis in CT Images.

, , , , and . SASHIMI@MICCAI, volume 11037 of Lecture Notes in Computer Science, page 100-110. Springer, (2018)

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Saeed Jangani

Eun-Ju Jang

Hee-Kwon Jang

Myoung-Souk Jang

Tae-Seok Jang

 

Other publications of authors with the same name

Reconnection of fragmented parts of coronary arteries using local geometric features in X-ray angiography images., , , , , , , and . Comput. Biol. Medicine, (2022)A Cascaded Two-step Approach For Segmentation of Thoracic Organs., , , , and . SegTHOR@ISBI, volume 2349 of CEUR Workshop Proceedings, CEUR-WS.org, (2019)Mask-Rendering of Mitochondrial Transports Using VTK., , and . FGIT-DTA/BSBT, volume 258 of Communications in Computer and Information Science, page 161-166. Springer, (2011)Left Ventricle Quantification Challenge: A Comprehensive Comparison and Evaluation of Segmentation and Regression for Mid-Ventricular Short-Axis Cardiac MR Data., , , , , , , , , and 15 other author(s). IEEE J. Biomed. Health Informatics, 25 (9): 3541-3553 (2021)Fully Automatic Segmentation of Coronary Arteries Based on Deep Neural Network in Intravascular Ultrasound Images., , , , , and . CVII-STENT/LABELS@MICCAI, volume 11043 of Lecture Notes in Computer Science, page 161-168. Springer, (2018)Generative adversarial network with radiomic feature reproducibility analysis for computed tomography denoising., , , , , , , , , and . Comput. Biol. Medicine, (June 2023)Geodesic Distance Algorithm for Extracting the Ascending Aorta from 3D CT Images., , , , , and . Comput. Math. Methods Medicine, (2016)Deep Learning Cross-Phase Style Transfer for Motion Artifact Correction in Coronary Computed Tomography Angiography., , , , and . IEEE Access, (2020)Coronary luminal and wall mask prediction using convolutional neural network., , , , , , , , , and . ISBI, page 1049-1052. IEEE, (2017)Full Quantification of Left Ventricle Using Deep Multitask Network with Combination of 2D and 3D Convolution on 2D + t Cine MRI., , , and . STACOM@MICCAI, volume 11395 of Lecture Notes in Computer Science, page 476-483. Springer, (2018)