| Deep learning-based stenosis quantification from coronary CT angiography Y Hong, F Commandeur, S Cadet, M Goeller, M Doris, X Chen, ... Medical Imaging 2019: Image Processing 10949, 643-651, 2019 | 54 | 2019 |
| Fully automatic segmentation of coronary arteries based on deep neural network in intravascular ultrasound images S Kim, Y Jang, B Jeon, Y Hong, H Shim, H Chang Intravascular Imaging and Computer Assisted Stenting and Large-Scale …, 2018 | 48 | 2018 |
| Prognostic value of multidetector coronary computed tomography angiography in relation to exercise electrocardiogram in patients with suspected coronary artery disease I Cho, J Shim, HJ Chang, JM Sung, Y Hong, H Shim, YJ Kim, BW Choi, ... Journal of the American College of Cardiology 60 (21), 2205-2215, 2012 | 43 | 2012 |
| Automatic coronary artery segmentation using active search for branches and seemingly disconnected vessel segments from coronary CT angiography D Han, H Shim, B Jeon, Y Jang, Y Hong, S Jung, S Ha, HJ Chang PLoS One 11 (8), e0156837, 2016 | 35 | 2016 |
| Deep learning-based image conversion improves the reproducibility of computed tomography radiomics features: a phantom study SB Lee, YJ Cho, Y Hong, D Jeong, J Lee, SH Kim, S Lee, YH Choi Investigative Radiology 57 (5), 308-317, 2022 | 24 | 2022 |
| A fast seed detection using local geometrical feature for automatic tracking of coronary arteries in CTA D Han, NT Doan, H Shim, B Jeon, H Lee, Y Hong, HJ Chang Computer methods and programs in biomedicine 117 (2), 179-188, 2014 | 21 | 2014 |
| Maximum a posteriori estimation method for aorta localization and coronary seed identification B Jeon, Y Hong, D Han, Y Jang, S Jung, Y Hong, S Ha, H Shim, ... Pattern Recognition 68, 222-232, 2017 | 12 | 2017 |
| Geodesic distance algorithm for extracting the ascending aorta from 3D CT images Y Jang, HY Jung, Y Hong, I Cho, H Shim, HJ Chang Computational and mathematical methods in medicine 2016 (1), 4561979, 2016 | 11 | 2016 |
| Generative adversarial network with radiomic feature reproducibility analysis for computed tomography denoising J Lee, J Jeon, Y Hong, D Jeong, Y Jang, B Jeon, HJ Baek, E Cho, H Shim, ... Computers in Biology and Medicine 159, 106931, 2023 | 8 | 2023 |
| Viability assessment after conventional coronary angiography using a novel cardiovascular interventional therapeutic CT system: Comparison with gross morphology in a subacute … Y Jang, I Cho, BWÓ Hartaigh, SI Park, Y Hong, S Shin, S Ha, B Jeon, ... Journal of cardiovascular computed tomography 9 (4), 321-328, 2015 | 8 | 2015 |
| Coronary luminal and wall mask prediction using convolutional neural network Y Hong, YM Hong, Y Jang, S Kim, B Jeon, S Jung, S Ha, D Han, H Shim, ... 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017 …, 2017 | 5 | 2017 |
| Deep learning-based computed tomography image standardization to improve generalizability of deep learning-based hepatic segmentation SB Lee, Y Hong, YJ Cho, D Jeong, J Lee, SH Yoon, S Lee, YH Choi, ... Korean Journal of Radiology 24 (4), 294, 2023 | 4 | 2023 |
| Feasibility of selective catheter-directed coronary computed tomography angiography using ultralow-dose intracoronary contrast injection in a swine model Y Hong, S Shin, HB Park, BK Lee, R Arsanjani, B ó Hartaigh, S Ha, ... Investigative Radiology 50 (7), 449-455, 2015 | 4 | 2015 |
| Echocardiographic View Classification with Integrated Out-of-Distribution Detection for Enhanced Automatic Echocardiographic Analysis J Jeon, S Ha, YE Yoon, J Kim, H Jeong, D Jeong, Y Jang, Y Hong, ... arXiv preprint arXiv:2308.16483, 2023 | 3 | 2023 |
| Generation of high-resolution chest X-rays using multi-scale conditional generative adversarial network with attention K Ann, Y Jang, S Ha, B Jeon, Y Hong, H Shim, HJ Chang Journal of Broadcast Engineering 25 (1), 1-12, 2020 | 2 | 2020 |
| Artificial intelligence-enhanced automation of left ventricular diastolic assessment: a pilot study for feasibility, diagnostic validation, and outcome prediction J Park, J Jeon, YE Yoon, Y Jang, J Kim, D Jeong, J Lee, Y Hong, S Ha, ... Cardiovascular Diagnosis and Therapy 14 (3), 352, 2024 | 1 | 2024 |
| A Unified Approach for Comprehensive Analysis of Various Spectral and Tissue Doppler Echocardiography J Jeon, J Kim, Y Jang, YE Yoon, D Jeong, Y Hong, SA Lee, HJ Chang 2024 IEEE International Symposium on Biomedical Imaging (ISBI), 1-5, 2024 | 1 | 2024 |
| Prediction of the development of new coronary atherosclerotic plaques with radiomics SE Lee, Y Hong, J Hong, J Jung, JM Sung, D Andreini, MH Al-Mallah, ... Journal of Cardiovascular Computed Tomography 18 (3), 274-280, 2024 | 1 | 2024 |
| Improving the Reproducibility of Computed Tomography Radiomic Features Using an Enhanced Hierarchical Feature Synthesis Network D Jeong, Y Hong, J Lee, SB Lee, YJ Cho, H Shim, HJ Chang IEEE Access 12, 27648-27660, 2024 | 1 | 2024 |
| Risk factors based vessel‐specific prediction for stages of coronary artery disease using Bayesian quantile regression machine learning method: Results from the PARADIGM registry HB Park, J Lee, Y Hong, S Byungchang, W Kim, BK Lee, FY Lin, ... Clinical cardiology 46 (3), 320-327, 2023 | 1 | 2023 |
Chang Hyuk-JaeYonsei University在 yuhs.ac 的电子邮件经过验证
