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2020 – today

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2024
[j16]
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Dawun Jeong, Youngtaek Hong, Jina Lee, Seul Bi Lee, Yeon Jin Cho, Hackjoon Shim, Hyuk-Jae Chang:
Improving the Reproducibility of Computed Tomography Radiomic Features Using an Enhanced Hierarchical Feature Synthesis Network. IEEE Access 12: 27648-27660 (2024)
[c13]
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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
[j15]
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Kyunghoon Han, Heejoon Koo, Sunghee Jung, Hyung-Bok Park, Youngtaek Hong, Hackjoon Shim, Byunghwan Jeon, Hyuk-Jae Chang:
Reconstruction of Partially Broken Vascular Structures in X-Ray Images via Vesselness-Loss-Based Multi-Scale Generative Adversarial Networks. IEEE Access 11: 86335-86350 (2023)
[j14]
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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)
[j13]
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Ji Hoon Kim, Bomgyeol Kim, Min Joung Kim, Heejung Hyun, Hyeon Chang Kim, Hyuk-Jae Chang:
Prediction of inappropriate pre-hospital transfer of patients with suspected cardiovascular emergency diseases using machine learning: a retrospective observational study. BMC Medical Informatics Decis. Mak. 23(1): 56 (2023)
[j12]
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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]
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  - journals/corr/abs-2308-16483
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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]
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  - journals/corr/abs-2310-08897
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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]
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  - journals/corr/abs-2311-08439
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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
[j11]
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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)
2021
[j10]
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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)
[j9]
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Byunghwan Jeon, Sunghee Jung, Hackjoon Shim, Hyuk-Jae Chang:
Bayesian Estimation of Geometric Morphometric Landmarks for Simultaneous Localization of Multiple Anatomies in Cardiac CT Images. Entropy 23(1): 64 (2021)
[j8]
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Hyunmin Kim, Asos Mahmood, Joy V. Goldsmith, Hyuk-Jae Chang, Satish Kedia, Cyril F. Chang:
Access to Broadband Internet and its Utilization for Health Information Seeking and Health Communication among Informal Caregivers in the United States. J. Medical Syst. 45(2): 24 (2021)
2020
[j7]
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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

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2019
[j6]
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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)
[c12]
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Sung-Woo Kim, Young-Jun Won, Dong-Sik Chae, Hyuk-Jae Chang:
A New Fracture Liaison Service Using the Mobile Application and IoT Sensor. EMBC 2019: 3486-3489
[c11]
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Sekeun Kim, Yeonggul Jang, Kyunghoon Han, Hackjoon Shim, Hyuk-Jae Chang:
A Cascaded Two-step Approach For Segmentation of Thoracic Organs. SegTHOR@ISBI 2019
[c10]
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Youngtaek Hong, Frederic Commandeur, Sebastien Cadet, Markus Goeller, Mhairi Doris, Xi Chen, Jacek Kwiecinski, Daniel S. Berman, Piotr J. Slomka, Hyuk-Jae Chang, Damini Dey:
Deep learning-based stenosis quantification from coronary CT angiography. Medical Imaging: Image Processing 2019: 109492I
2018
[j5]
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Eunjeong Park, Ji Hoon Kim, Hyo Suk Nam, Hyukjae Chang:
Requirement Analysis and Implementation of Smart Emergency Medical Services. IEEE Access 6: 42022-42029 (2018)
[j4]
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Sen Ma, Christopher T. Nguyen, Anthony G. Christodoulou, Daniel Luthringer, Jon Kobashigawa, Sang-Eun Lee, Hyuk-Jae Chang, Debiao Li:
Accelerated Cardiac Diffusion Tensor Imaging Using Joint Low-Rank and Sparsity Constraints. IEEE Trans. Biomed. Eng. 65(10): 2219-2230 (2018)
[c9]
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Siming Yan, Feng Shi, Yuhua Chen, Damini Dey, Sang-Eun Lee, Hyuk-Jae Chang, Debiao Li, Yibin Xie:
Calcium removal from cardiac ct images using deep convolutional neural network. ISBI 2018: 466-469
[c8]
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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]
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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]
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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
[i1]
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  - journals/corr/abs-1803-00399
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Siming Yan, Feng Shi, Yuhua Chen, Damini Dey, Sang-Eun Lee, Hyuk-Jae Chang, Debiao Li, Yibin Xie:
Calcium Removal From Cardiac CT Images Using Deep Convolutional Neural Network. CoRR abs/1803.00399 (2018)
2017
[j3]
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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]
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  - conf/healthcom/ChangYHCP17
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Jongwon Chang, Jisang Yu, Taehwa Han, Hyukjae Chang, Eunjeong Park:
A method for classifying medical images using transfer learning: A pilot study on histopathology of breast cancer. Healthcom 2017: 1-4
[c4]
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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
[c3]
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Taewoo Park, Seung Yeon Shin, Youngtaek Hong, Soochahn Lee, Hyuk-Jae Chang, Il Dong Yun:
Nonrigid 2D registration of fluoroscopic coronary artery image sequence with propagated deformation field. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2017: 101371W
[c2]
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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
[j2]
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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)
[c1]
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Taein Kwon, Eunjeong Park, Hyukjae Chang:
Smart Refrigerator for Healthcare Using Food Image Classification. BCB 2016: 483-484
2014
[j1]
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Dongjin Han, Nam-Thai Doan, Hackjoon Shim, Byunghwan Jeon, Hyunna Lee, Youngtaek Hong, Hyuk-Jae Chang:
A fast seed detection using local geometrical feature for automatic tracking of coronary arteries in CTA. Comput. Methods Programs Biomed. 117(2): 179-188 (2014)

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