| Fully automatic segmentation on prostate MR images based on cascaded fully convolution network Y Zhu, R Wei, G Gao, L Ding, X Zhang, X Wang, J Zhang Journal of Magnetic Resonance Imaging 49 (4), 1149-1156, 2019 | 105 | 2019 |
| Motion artefact reduction in coronary CT angiography images with a deep learning method P Ren, Y He, Y Zhu, T Zhang, J Cao, Z Wang, Z Yang BMC Medical Imaging 22 (1), 184, 2022 | 9 | 2022 |
| Artificial intelligence in computer-aided diagnosis of abdomen diseases F Gao, Y Zhu, J Zhang Science China Life Sciences 62, 1396-1399, 2019 | 6 | 2019 |
| Fully automated detection and localization of clinically significant prostate cancer on MR images using a cascaded convolutional neural network L Zhu, G Gao, Y Zhu, C Han, X Liu, D Li, W Liu, X Wang, J Zhang, ... Frontiers in Oncology 12, 958065, 2022 | 4 | 2022 |
| An automatic framework for evaluating the vascular permeability of bone metastases from prostate cancer J Wu, Y Zhu, X Zhang, X Wang, J Zhang Physics in Medicine & Biology 66 (12), 125006, 2021 | 1 | 2021 |
| Feasibility of Artificial Intelligence Constrained Compressed SENSE Accelerated 3D Isotropic T1 VISTA Sequence For Vessel Wall MR Imaging: Exploring the Potential of Higher … Y Ma, M Wang, Y Qiao, Y Wen, Y Zhu, K Jiang, J Lian, D Tong Academic Radiology, 2024 | | 2024 |
| Compressed Sensitivity Encoding Artificial Intelligence Accelerates Brain Metastasis Imaging by Optimizing Image Quality and Reducing Scan Time M Wang, Y Ma, L Li, X Pan, Y Wen, Y Qiu, D Guo, Y Zhu, J Lian, D Tong American Journal of Neuroradiology 45 (4), 444-452, 2024 | | 2024 |
| Distinguishing heart failure subtypes: the diagnostic power of different cardiac magnetic resonance imaging parameters Y Hao, R Zhang, L Chen, G Fan, B Liu, K Jiang, Y Zhu, M Zhang, J Guo Frontiers in Cardiovascular Medicine 11, 1291735, 2024 | | 2024 |
| A fully automatic prostate segmentation method for both DWI and T2WI Y Zhu, R Wei, G Gao, Y Zhang, X Wang, J Zhang, J Fang | | |
| A fully automatic territory segmentation method for prostate MR images by multi-atlas matching L Ding, G Gao, Y Zhu, X Zhang, J Zhang, J Fang, X Wang | | |
| Fully automatic three dimensional prostate images registration: from T2-weighted-images to diffusion‐weighted images R Wei, Y Zhu, X Wang, G Gao, J Zhang | | |
| Combined clinical parameters and Magnetic Resonance Images for prostate cancer detection Y Zhu, R Wei, G Gao, J Zhang, X Wang | | |
| An automatic prostate gland and peripheral zone segmentations method based on cascaded fully convolution network Y Zhu, R Wei, L Ding, G Gao, X Zhang, X Wang, J Zhang, J Fang | | |
| Why elder adults have a higher fall risk in dual-task daily life: A Preliminary fMRI Study Y Zheng, Y Wang, Y Zhu, X Wang, J Zhang, J Fang | | |
| An fully automatic prostate segmentation based on generative adversarial networks Y Zhu, R Wei, G Gao, J Zhang, X Wang | | |
Yajing ZhangJohns Hopkins UniversityVerified email at jhu.edu
Yajing ZhangJohns Hopkins UniversityVerified email at jhu.edu