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Sekeun Kim
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Publications
- 2023
- [j2]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) - 2022
- [j1]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) - 2019
- [c5]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
- [c4]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 - [c3]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
- [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 - [c1]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
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