Hyuk-Jae Chang

发表

Geodesic Distance Algorithm for Extracting the Ascending Aorta from 3D CT Images

Ho Yub Jung, Yeonggul Jang, Youngtaek Hong, 2016, Comput. Math. Methods Medicine.

Fully Automatic Segmentation of Coronary Arteries Based on Deep Neural Network in Intravascular Ultrasound Images

Yeonggul Jang, Youngtaek Hong, Hackjoon Shim, 2018, CVII-STENT/LABELS@MICCAI.

Calcium removal from cardiac ct images using deep convolutional neural network

Damini Dey, Feng Shi, Debiao Li, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Final Diagnosis Classification using Fine-tune BERT for Automatic Labeling

Yeonggul Jang, Youngtaek Hong, Hyuk-Jae Chang, 2019 .

Identification of coronary arteries in CT images by Bayesian analysis of geometric relations among anatomical landmarks

Yeonggul Jang, Hackjoon Shim, Hyuk-Jae Chang, 2019, Pattern Recognit..

Full Quantification of Left Ventricle Using Deep Multitask Network with Combination of 2D and 3D Convolution on 2D + t Cine MRI

Yeonggul Jang, Hackjoon Shim, Hyuk-Jae Chang, 2018, STACOM@MICCAI.

A fast seed detection using local geometrical feature for automatic tracking of coronary arteries in CTA

Dongjin Han, Youngtaek Hong, Hackjoon Shim, 2014, Comput. Methods Programs Biomed..

Automatic Segmentation of LV and RV in Cardiac MRI

Yeonggul Jang, Seongmin Ha, Yoonmi Hong, 2017, STACOM@MICCAI.

Coronary luminal and wall mask prediction using convolutional neural network

Yeonggul Jang, Dongjin Han, Seongmin Ha, 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017).

Deep learning-based stenosis quantification from coronary CT angiography

Piotr J. Slomka, Daniel S. Berman, Damini Dey, 2019, Medical Imaging: Image Processing.

Maximum a posteriori estimation method for aorta localization and coronary seed identification

Yeonggul Jang, Dongjin Han, Seongmin Ha, 2017, Pattern Recognit..

Detection of suspicious activity using incremental outlier detection algorithms

Aleksandar Lazarevic, Dragoljub Pokrajac, Roland Miezianko, 2009, Optical Engineering + Applications.

Nonrigid 2D registration of fluoroscopic coronary artery image sequence with propagated deformation field

Il Dong Yun, Soochahn Lee, Youngtaek Hong, 2017, Medical Imaging.

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

Yeonggul Jang, Soochahn Lee, Hyuk-Jae Chang, 2018, SASHIMI@MICCAI.

A Cascaded Two-step Approach For Segmentation of Thoracic Organs

Yeonggul Jang, Hackjoon Shim, Hyuk-Jae Chang, 2019, SegTHOR@ISBI.

Vessel Tracking Algorithm using Multiple Local Smooth Paths

Yeonggul Jang, Hyung-Bok Park, Dongjin Han, 2016 .

Multi-Scale Conditional Generative Adversarial Network for Small-Sized Lung Nodules Using Class Activation Region Influence Maximization

Hackjoon Shim, Hyuk-Jae Chang, Kyeongjin Ann, 2021, IEEE Access.

Bayesian Estimation of Geometric Morphometric Landmarks for Simultaneous Localization of Multiple Anatomies in Cardiac CT Images

Hackjoon Shim, Hyuk-Jae Chang, Byunghwan Jeon, 2021, Entropy.

Fully automated quantification of cardiac chamber and function assessment in 2-D Echocardiography: clinical feasibility of deep learning-based algorithms

Reza Arsanjani, Hyuk-Jae Chang, Sekeun Kim, 2021 .

Incremental Prognostic Value of Cardiac Computed Tomography in Coronary Artery Disease Using CONFIRM: COroNary Computed Tomography Angiography Evaluation for Clinical Outcomes: An InteRnational Multicenter Registry

Yeung Yam, Jörg Hausleiter, Mouaz Al-Mallah, 2011, Circulation. Cardiovascular imaging.

Predicting Cardiac Arrest and Respiratory Failure Using Feasible Artificial Intelligence with Simple Trajectories of Patient Data

Hyuk-Jae Chang, Hyuk-Jae Chang, Eunjeong Park, 2019, Journal of clinical medicine.

A numerical study on the effect of trapezium stenosis shape on the axisymmetric flow field around stenosis

Hyoung Gwon Choi, Hyuk-Jae Chang, Byoung Jin Jeon, 2018, Journal of Mechanical Science and Technology.

Automatic quantification of aortic regurgitation using 3D full volume color doppler echocardiography: a validation study with cardiac magnetic resonance imaging

Hyuk-Jae Chang, Namsik Chung, Chi Young Shim, 2015, The International Journal of Cardiovascular Imaging.

Intensity-vesselness Gaussian mixture model (IVGMM) for 2D + t segmentation of coronary arteries for X-ray angiography image sequences.

Hackjoon Shim, Hyuk-Jae Chang, Hyunna Lee, 2015, Journal of X-ray science and technology.

Incremental Value of Repeated Risk Factor Measurements for Cardiovascular Disease Prediction in Middle-Aged Korean Adults: Results From the NHIS-HEALS (National Health Insurance System-National Health Screening Cohort)

Hyuk-Jae Chang, Namsik Chung, N. Chung, 2017, Circulation. Cardiovascular quality and outcomes.

What have we learned from CONFIRM? Prognostic implications from a prospective multicenter international observational cohort study of consecutive patients undergoing coronary computed tomographic angiography

Daniel S. Berman, Damini Dey, James K. Min, 2012, Journal of Nuclear Cardiology.

Image-Based Flow Simulations of Pre- and Post-left Atrial Appendage Closure in the Left Atrium

Hyung-Bok Park, Hyuk-Jae Chang, Byunghwan Jeon, 2019, Cardiovascular engineering and technology.

Rationale and design of the ViCTORY (Validation of an Intracycle CT Motion CORrection Algorithm for Diagnostic AccuracY) trial.

Carl Roobottom, Reza Arsanjani, Daniel S Berman, 2013, Journal of cardiovascular computed tomography.

Mouaz Al-Mallah, Daniel S Berman, Victor Cheng, 2011, Journal of the American College of Cardiology.

Calcified versus noncalcified atherosclerosis: Implications for evaluating cardiovascular risk

Hyuk-Jae Chang, J. J. Rivera, R. Blumenthal, 2009 .

Clinical applications of machine learning in cardiovascular disease and its relevance to cardiac imaging.

Yuanfang Guan, Piotr J Slomka, Jeroen J. Bax, 2018, European heart journal.

Noninvasive measurement of pressure gradient across a coronary stenosis using phase contrast (PC)‐MRI: A feasibility study

Debiao Li, Yibin Xie, Daniel Berman, 2017, Magnetic resonance in medicine.

15-Year prognostic utility of coronary artery calcium scoring for all-cause mortality in the elderly.

Iksung Cho, Hyuk-Jae Chang, James K Min, 2016, Atherosclerosis.

Maximization of the usage of coronary CTA derived plaque information using a machine learning based algorithm to improve risk stratification; insights from the CONFIRM registry.

Yao Lu, Jeroen J. Bax, Daniel S Berman, 2018, Journal of cardiovascular computed tomography.

The Computerized Table Setting Test for Detecting Unilateral Neglect

Hyo Suk Nam, Hyuk-Jae Chang, Ji Hoe Heo, 2016, PloS one.

A clinical model to identify patients with high-risk coronary artery disease.

Yeung Yam, Jörg Hausleiter, Mouaz Al-Mallah, 2015, JACC. Cardiovascular imaging.

Is Metabolic Syndrome Predictive of Prevalence, Extent, and Risk of Coronary Artery Disease beyond Its Components? Results from the Multinational Coronary CT Angiography Evaluation for Clinical Outcome: An International Multicenter Registry (CONFIRM)

Daniel S. Berman, James K. Min, Mouaz Al-Mallah, 2015, PloS one.