| Artificial intelligence distinguishes COVID-19 from community acquired pneumonia on chest CT L Li, L Qin, Z Xu, Y Yin, X Wang, B Kong, J Bai, Y Lu, Z Fang, Q Song, ... Radiology, 2020 | 1381 | 2020 |
| Using artificial intelligence to detect COVID-19 and community-acquired pneumonia based on pulmonary CT: evaluation of the diagnostic accuracy L Li, L Qin, Z Xu, Y Yin, X Wang, B Kong, J Bai, Y Lu, Z Fang, Q Song, ... Radiology 296 (2), E65-E71, 2020 | 964 | 2020 |
| Deep learning for fast and spatially constrained tissue quantification from highly accelerated data in magnetic resonance fingerprinting Z Fang, Y Chen, M Liu, L Xiang, Q Zhang, Q Wang, W Lin, D Shen IEEE transactions on medical imaging 38 (10), 2364-2374, 2019 | 114 | 2019 |
| High-resolution 3D MR Fingerprinting using parallel imaging and deep learning Y Chen, Z Fang, SC Hung, WT Chang, D Shen, W Lin Neuroimage 206, 116329, 2020 | 62 | 2020 |
| Rca-u-net: Residual channel attention u-net for fast tissue quantification in magnetic resonance fingerprinting Z Fang, Y Chen, D Nie, W Lin, D Shen Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 38 | 2019 |
| High-resolution image reconstruction for portable ultrasound imaging devices R Wang, Z Fang, J Gu, Y Guo, S Zhou, Y Wang, C Chang, J Yu EURASIP Journal on Advances in Signal Processing 2019, 1-12, 2019 | 36 | 2019 |
| Submillimeter MR fingerprinting using deep learning–based tissue quantification Z Fang, Y Chen, SC Hung, X Zhang, W Lin, D Shen Magnetic resonance in medicine 84 (2), 579-591, 2020 | 31 | 2020 |
| Quantification of relaxation times in MR fingerprinting using deep learning Z Fang, Y Chen, W Lin, D Shen Proceedings of the International Society for Magnetic Resonance in Medicine …, 2017 | 15 | 2017 |
| Annotation-efficient COVID-19 pneumonia lesion segmentation using error-aware unified semisupervised and active learning Z Fang, J Bai, X Guo, X Wang, F Gao, HY Yang, B Kong, Y Hou, K Cao, ... IEEE Transactions on Artificial Intelligence 4 (2), 255-267, 2022 | 10 | 2022 |
| Deep learning for fast and spatially-constrained tissue quantification from highly-undersampled data in magnetic resonance fingerprinting (MRF) Z Fang, Y Chen, M Liu, Y Zhan, W Lin, D Shen Machine Learning in Medical Imaging: 9th International Workshop, MLMI 2018 …, 2018 | 10 | 2018 |
| Automatic brain extraction from 3D fetal MR image with deep learning-based multi-step framework J Chen, Z Fang, G Zhang, L Ling, G Li, H Zhang, L Wang Computerized Medical Imaging and Graphics 88, 101848, 2021 | 9 | 2021 |
| Harmonized neonatal brain MR image segmentation model for cross-site datasets J Chen, Y Sun, Z Fang, W Lin, G Li, L Wang, ... Biomedical signal processing and control 69, 102810, 2021 | 8 | 2021 |
| Deepsti: towards tensor reconstruction using fewer orientations in susceptibility tensor imaging Z Fang, KW Lai, P van Zijl, X Li, J Sulam Medical image analysis 87, 102829, 2023 | 5 | 2023 |
| Super-resolution reconstruction of plane-wave ultrasound imaging based on the improved CNN method Z Zhou, Y Wang, J Yu, W Guo, Z Fang VipIMAGE 2017: Proceedings of the VI ECCOMAS Thematic Conference on …, 2018 | 4 | 2018 |
| Systems and methods for vessel plaque analysis F Gao, Z Fang, Y Pan, J Bai, YIN Youbing, HY Yang, K Cao, Q Song US Patent App. 17/121,595, 2021 | 3 | 2021 |
| Method and system for diagnosis of COVID-19 disease progression using artificial intelligence X Wang, YIN Youbing, K Bin, Y Lu, J Bai, Z Fang, Q Song US Patent 11,361,440, 2022 | 2 | 2022 |
| Method and system for diagnosis of COVID-19 using artificial intelligence X Wang, YIN Youbing, K Bin, Y Lu, J Bai, Z Fang, Q Song US Patent 11,076,824, 2021 | 2 | 2021 |
| Image deblurring using feedback mechanism and dual gated attention network J Chen, S Ye, Z Jiang, Z Fang Neural Processing Letters 56 (2), 88, 2024 | 1 | 2024 |
| What's in a Prior? Learned Proximal Networks for Inverse Problems Z Fang, S Buchanan, J Sulam arXiv preprint arXiv:2310.14344, 2023 | 1 | 2023 |
| Enhancements to quantitative magnetic resonance imaging techniques Y Chen, Z Fang, W Lin, D Shen, PT Yap US Patent App. 17/619,046, 2022 | 1 | 2022 |
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