| Automatic Segmentation of LV and RV in Cardiac MRI Y Jang, Y Hong, S Ha, S Kim, HJ Chang In MICCAI Workshop on Statistical Atlases and Computational Models of the …, 2017 | 92 | 2017 |
| Radiology-llama2: Best-in-class large language model for radiology Z Liu, Y Li, P Shu, A Zhong, L Yang, C Ju, Z Wu, C Ma, J Luo, C Chen, ... arXiv preprint arXiv:2309.06419, 2023 | 60 | 2023 |
| 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 | 47 | 2018 |
| Ma-sam: Modality-agnostic sam adaptation for 3d medical image segmentation C Chen, J Miao, D Wu, A Zhong, Z Yan, S Kim, J Hu, Z Liu, L Sun, X Li, ... Medical Image Analysis, 103310, 2024 | 40 | 2024 |
| Three-dimensional cardiomyocytes structure revealed by diffusion tensor imaging and its validation using a tissue-clearing technique SE Lee, C Nguyen, J Yoon, HJ Chang, S Kim, CH Kim, D Li Scientific reports 8 (1), 6640, 2018 | 37 | 2018 |
| Artificial intelligence and echocardiography YE Yoon, S Kim, HJ Chang Journal of Cardiovascular Imaging 29 (3), 193, 2021 | 30 | 2021 |
| Tailoring large language models to radiology: A preliminary approach to llm adaptation for a highly specialized domain Z Liu, A Zhong, Y Li, L Yang, C Ju, Z Wu, C Ma, P Shu, C Chen, S Kim, ... International Workshop on Machine Learning in Medical Imaging, 464-473, 2023 | 22 | 2023 |
| Deep learning on multiphysical features and hemodynamic modeling for abdominal aortic aneurysm growth prediction S Kim, Z Jiang, BA Zambrano, Y Jang, S Baek, S Yoo, HJ Chang IEEE Transactions on Medical Imaging 42 (1), 196-208, 2022 | 17 | 2022 |
| A Cascaded Two-step Approach For Segmentation of Thoracic Organs SK Yeonggul Jang IEEE International Symposium on Biomedical Imaging (ISBI 2019), 2019 | 12* | 2019 |
| Medivista-sam: Zero-shot medical video analysis with spatio-temporal sam adaptation S Kim, K Kim, J Hu, C Chen, Z Lyu, R Hui, S Kim, Z Liu, A Zhong, X Li, ... arXiv preprint arXiv:2309.13539, 2023 | 8 | 2023 |
| Fully automated quantification of cardiac chamber and function assessment in 2-D echocardiography: clinical feasibility of deep learning-based algorithms S Kim, HB Park, J Jeon, R Arsanjani, R Heo, SE Lee, I Moon, SK Yoo, ... The International Journal of Cardiovascular Imaging 38 (5), 1047-1059, 2022 | 8 | 2022 |
| Full quantification of left ventricle using deep multitask network with combination of 2D and 3D convolution on 2D+ t cine MRI Y Jang, S Kim, H Shim, HJ Chang Statistical Atlases and Computational Models of the Heart. Atrial …, 2019 | 6 | 2019 |
| 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 |
| Reconnection of fragmented parts of coronary arteries using local geometric features in X-ray angiography images K Han, J Jeon, Y Jang, S Jung, S Kim, H Shim, B Jeon, HJ Chang Computers in biology and medicine 141, 105099, 2022 | 2 | 2022 |
| Multi-task Learning for Hierarchically-Structured Images: Study on Echocardiogram View Classification J Charton, H Ren, S Kim, CM Gonzalez, J Khambhati, J Cheng, ... International Workshop on Advances in Simplifying Medical Ultrasound, 185-194, 2023 | 1 | 2023 |
| Bayesian approaches for Quantifying Clinicians' Variability in Medical Image Quantification J Jeon, Y Jang, Y Hong, H Shim, S Kim arXiv preprint arXiv:2207.01868, 2022 | 1 | 2022 |
| Diagnostic accuracy of a novel on-site virtual fractional flow reserve parallel computing system HB Park, Y Jang, R Arsanjani, MT Nguyen, SE Lee, B Jeon, S Jung, ... Yonsei medical journal 61 (2), 137-144, 2020 | 1 | 2020 |
| Validation of cardiac diffusion tensor MRI using transparent tissue preparation (CLARITY) with 3D optical microscopy C Nguyen, SE Lee, J Yoon, HJ Chang, S Kim, CH Kim, D Li Proceedings of the 25th Annual Meeting of ISMRM, Honolulu, Hawaii, USA, 546, 2017 | 1 | 2017 |
| Adaptation of Prompt-enabled Segment-Anything-Model Enhance the Accuracy and Generalizability of Cine Cardiac Magnetic Resonance Segmentation Z Chen, S Kim, H Ren, X Li American Heart Association’s (AHA) annual Scientific Sessions, 2024 | | 2024 |
| Autonomous Robotic Ultrasound System for Liver Follow-up Diagnosis: Pilot Phantom Study T Zhang, S Kim, J Charton, H Ma, K Kim, N Li, Q Li arXiv preprint arXiv:2405.05787, 2024 | | 2024 |
Chang Hyuk-JaeYonsei University在 yuhs.ac 的电子邮件经过验证
