A fast seed detection using local geometrical feature for automatic tracking of coronary arteries in CTA. - Dongjin Han; Nam-Thai Doan; Hackjoon Shim; Byunghwan Jeon; Hyunna Lee; Youngtaek Hong; Hyuk-Jae Chang (Comput. Methods Programs Biomed., 2014)

Smart Refrigerator for Healthcare Using Food Image Classification. - Taein Kwon; Eunjeong Park; Hyukjae Chang (BCB, 2016)

Geodesic Distance Algorithm for Extracting the Ascending Aorta from 3D CT Images. - Yeonggul Jang; Ho Yub Jung; Youngtaek Hong; Iksung Cho; Hackjoon Shim; Hyuk-Jae Chang (Comput. Math. Methods Medicine, 2016)

A method for classifying medical images using transfer learning: A pilot study on histopathology of breast cancer. - Jongwon Chang; Jisang Yu; Taehwa Han; Hyukjae Chang; Eunjeong Park (Healthcom, 2017)

Coronary luminal and wall mask prediction using convolutional neural network. - Youngtaek Hong; Yoonmi Hong; Yeonggul Jang; Sekeun Kim; Byunghwan Jeon; Sunghee Jung; Seongmin Ha; Dongjin Han; Hackjoon Shim; Hyuk-Jae Chang (ISBI, 2017)

Nonrigid 2D registration of fluoroscopic coronary artery image sequence with propagated deformation field. - Taewoo Park; Seung Yeon Shin; Youngtaek Hong; Soochahn Lee; Hyuk-Jae Chang; Il Dong Yun (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2017)

Automatic Segmentation of LV and RV in Cardiac MRI. - Yeonggul Jang; Yoonmi Hong; Seongmin Ha; Sekeun Kim; Hyuk-Jae Chang (STACOM@MICCAI, 2017)

Maximum a posteriori estimation method for aorta localization and coronary seed identification. - Byunghwan Jeon; Yoonmi Hong; Dongjin Han; Yeonggul Jang; Sunghee Jung; Youngtaek Hong; Seongmin Ha; Hackjoon Shim; Hyuk-Jae Chang (Pattern Recognit., 2017)

Calcium removal from cardiac ct images using deep convolutional neural network. - Siming Yan; Feng Shi 001; Yuhua Chen; Damini Dey; Sang-Eun Lee; Hyuk-Jae Chang; Debiao Li; Yibin Xie (ISBI, 2018)

Full Quantification of Left Ventricle Using Deep Multitask Network with Combination of 2D and 3D Convolution on 2D + t Cine MRI. - Yeonggul Jang; Sekeun Kim; Hackjoon Shim; Hyuk-Jae Chang (STACOM@MICCAI, 2018)

Deep Learning Based Coronary Artery Motion Artifact Compensation Using Style-Transfer Synthesis in CT Images. - Sunghee Jung; Soochahn Lee; Byunghwan Jeon; Yeonggul Jang; Hyuk-Jae Chang (SASHIMI@MICCAI, 2018)

Fully Automatic Segmentation of Coronary Arteries Based on Deep Neural Network in Intravascular Ultrasound Images. - Sekeun Kim; Yeonggul Jang; Byunghwan Jeon; Youngtaek Hong; Hackjoon Shim; Hyuk-Jae Chang (CVII-STENT/LABELS@MICCAI, 2018)

Requirement Analysis and Implementation of Smart Emergency Medical Services. - Eunjeong Park; Ji Hoon Kim; Hyo Suk Nam; Hyukjae Chang (IEEE Access, 2018)

Accelerated Cardiac Diffusion Tensor Imaging Using Joint Low-Rank and Sparsity Constraints. - Sen Ma; Christopher T. Nguyen; Anthony G. Christodoulou; Daniel Luthringer; Jon Kobashigawa; Sang-Eun Lee; Hyuk-Jae Chang; Debiao Li (IEEE Trans. Biomed. Eng., 2018)

A New Fracture Liaison Service Using the Mobile Application and IoT Sensor. - Sung-Woo Kim; Young-Jun Won; Dong-Sik Chae; Hyuk-Jae Chang (EMBC, 2019)

A Cascaded Two-step Approach For Segmentation of Thoracic Organs. - Sekeun Kim; Yeonggul Jang; Kyunghoon Han; Hackjoon Shim; Hyuk-Jae Chang (SegTHOR@ISBI, 2019)

Deep learning-based stenosis quantification from coronary CT angiography. - Youngtaek Hong; Frederic Commandeur; Sebastien Cadet; Markus Goeller; Mhairi Doris; Xi Chen 053; Jacek Kwiecinski; Daniel S. Berman; Piotr J. Slomka; Hyuk-Jae Chang; Damini Dey (Image Processing, 2019)

Identification of coronary arteries in CT images by Bayesian analysis of geometric relations among anatomical landmarks. - Byunghwan Jeon; Yeonggul Jang; Hackjoon Shim; Hyuk-Jae Chang (Pattern Recognit., 2019)

Deep Learning Cross-Phase Style Transfer for Motion Artifact Correction in Coronary Computed Tomography Angiography. - Sunghee Jung; Soochahn Lee; Byunghwan Jeon; Yeonggul Jang; Hyuk-Jae Chang (IEEE Access, 2020)

Multi-Scale Conditional Generative Adversarial Network for Small-Sized Lung Nodules Using Class Activation Region Influence Maximization. - Kyeongjin Ann; Yeonggul Jang; Hackjoon Shim; Hyuk-Jae Chang (IEEE Access, 2021)

Bayesian Estimation of Geometric Morphometric Landmarks for Simultaneous Localization of Multiple Anatomies in Cardiac CT Images. - Byunghwan Jeon; Sunghee Jung; Hackjoon Shim; Hyuk-Jae Chang (Entropy, 2021)

Access to Broadband Internet and its Utilization for Health Information Seeking and Health Communication among Informal Caregivers in the United States. - Hyunmin Kim; Asos Mahmood; Joy V. Goldsmith; Hyuk-Jae Chang; Satish Kedia; Cyril F. Chang (J. Medical Syst., 2021)

Reconnection of fragmented parts of coronary arteries using local geometric features in X-ray angiography images. - Kyunghoon Han; Jaeik Jeon; Yeonggul Jang; Sunghee Jung; Sekeun Kim; Hackjoon Shim; Byunghwan Jeon; Hyuk-Jae Chang (Comput. Biol. Medicine, 2022)

Reconstruction of Partially Broken Vascular Structures in X-Ray Images via Vesselness-Loss-Based Multi-Scale Generative Adversarial Networks. - Kyunghoon Han; Heejoon Koo; Sunghee Jung; Hyung-Bok Park; Youngtaek Hong; Hackjoon Shim; Byunghwan Jeon; Hyuk-Jae Chang (IEEE Access, 2023)

Echocardiographic View Classification with Integrated Out-of-Distribution Detection for Enhanced Automatic Echocardiographic Analysis. - Jaeik Jeon; Seongmin Ha; Yeonyee E. Yoon; Jiyeon Kim; Hyunseok Jeong; Dawun Jeong; Yeonggul Jang; Youngtaek Hong; Hyuk-Jae Chang (CoRR, 2023)

Self supervised convolutional kernel based handcrafted feature harmonization: Enhanced left ventricle hypertension disease phenotyping on echocardiography. - Jina Lee; Youngtaek Hong; Dawun Jeong; Yeonggul Jang; Sihyeon Jeong; Taekgeun Jung; Yeonyee E. Yoon; Inki Moon; Seung-Ah Lee; Hyuk-Jae Chang (CoRR, 2023)

Deep Learning on Multiphysical Features and Hemodynamic Modeling for Abdominal Aortic Aneurysm Growth Prediction. - Sekeun Kim; Zhenxiang Jiang; Byron A. Zambrano; Yeonggul Jang; Seungik Baek; Sun K. Yoo; Hyuk-Jae Chang (IEEE Trans. Medical Imaging, 2023)

Generative adversarial network with radiomic feature reproducibility analysis for computed tomography denoising. - Jina Lee; Jaeik Jeon; Youngtaek Hong; Dawun Jeong; Yeonggul Jang; Byunghwan Jeon; Hye Jin Baek; Eun Cho; Hackjoon Shim; Hyuk-Jae Chang (Comput. Biol. Medicine, 2023)

Prediction of inappropriate pre-hospital transfer of patients with suspected cardiovascular emergency diseases using machine learning: a retrospective observational study. - Ji Hoon Kim; Bomgyeol Kim; Min Joung Kim; Heejung Hyun; Hyeon Chang Kim; Hyuk-Jae Chang (BMC Medical Informatics Decis. Mak., 2023)

A Unified Approach For Comprehensive Analysis of Various Spectral and Tissue Doppler Echocardiography. - Jaeik Jeon; Jiyeon Kim; Yeonggul Jang; Yeonyee E. Yoon; Dawun Jeong; Youngtaek Hong; Seung-Ah Lee; Hyuk-Jae Chang (ISBI, 2024)

Improving the Reproducibility of Computed Tomography Radiomic Features Using an Enhanced Hierarchical Feature Synthesis Network. - Dawun Jeong; Youngtaek Hong; Jina Lee; Seul Bi Lee; Yeon Jin Cho; Hackjoon Shim; Hyuk-Jae Chang (IEEE Access, 2024)

Fully Convolutional Hybrid Fusion Network With Heterogeneous Representations for Identification of S1 and S2 From Phonocardiogram. - Yeonggul Jang; Juyeong Jung; Youngtaek Hong; Jina Lee; Hyunseok Jeong; Hackjoon Shim; Hyuk-Jae Chang (IEEE J. Biomed. Health Informatics, 2024)