| A new deep learning network for mitigating limited-view and under-sampling artifacts in ring-shaped photoacoustic tomography H Zhang, LI Hongyu, N Nyayapathi, D Wang, A Le, L Ying, J Xia Computerized Medical Imaging and Graphics 84, 101720, 2020 | 42 | 2020 |
| SuperDTI: Ultrafast DTI and fiber tractography with deep learning H Li, Z Liang, C Zhang, R Liu, J Li, W Zhang, D Liang, B Shen, X Zhang, ... Magnetic resonance in medicine 86 (6), 3334-3347, 2021 | 38 | 2021 |
| Accelerating multicolor spectroscopic single-molecule localization microscopy using deep learning SK Gaire, Y Zhang, H Li, R Yu, HF Zhang, L Ying Biomedical optics express 11 (5), 2705-2721, 2020 | 31 | 2020 |
| Diagnostic interchangeability of deep convolutional neural networks reconstructed knee MR images: preliminary experience N Subhas, H Li, M Yang, CS Winalski, J Polster, N Obuchowski, ... Quantitative Imaging in Medicine and Surgery 10 (9), 1748, 2020 | 21 | 2020 |
| Acceleration of three-dimensional diffusion magnetic resonance imaging using a kernel low-rank compressed sensing method C Zhang, TM Arefin, U Nakarmi, CH Lee, H Li, D Liang, J Zhang, L Ying Neuroimage 210, 116584, 2020 | 17 | 2020 |
| SuperMAP: Deep ultrafast MR relaxometry with joint spatiotemporal undersampling H Li, M Yang, JH Kim, C Zhang, R Liu, P Huang, D Liang, X Zhang, X Li, ... Magnetic resonance in medicine 89 (1), 64-76, 2023 | 15 | 2023 |
| Ultra-fast simultaneous T1rho and T2 mapping using deep learning H Li, M Yang, J Kim, R Liu, C Zhang, P Huang, SK Gaire, D Liang, X Li, ... Proceedings of the 28th Annual Meeting of ISMRM, Virtual Conference and …, 2020 | 12 | 2020 |
| Deep MRI reconstruction without ground truth for training P Huang, C Zhang, H Li, SK Gaire, R Liu, X Zhang, X Li, L Ying Proceedings of 27th Annual Meeting of ISMRM2019, 2019 | 12 | 2019 |
| Deep learned diffusion tensor imaging H Li, C Zhang, Z Liang, D Liang, B Shen, Y Ge, J Zhang, R Liu, P Huang, ... Proceedings of the 27th Annual Meeting of ISMRM, Montreal, Canada, 3344, 2019 | 4 | 2019 |
| Unsupervised deep learning reconstruction using the MR imaging model P Huang, C Zhang, H Li, SK Gaire, R Liu, X Zhang, X Li, L Dong, L Ying Proc. ISMRM, 3617, 2020 | 3 | 2020 |
| SuperMAP: superfast MR mapping with joint under-sampling using deep combined network H Li, M Yang, J Kim, C Zhang, R Liu, P Huang, SK Gaire, D Liang, ... Annual Meeting of the International Society for Magnetic Resonance in …, 2021 | 2 | 2021 |
| Highly accelerated T1ρ imaging using kernel-based low-rank compressed sensing reconstruction in knees with and without osteoarthritis J Kim, CA Zhang, M Yang, H Li, M Li, R Lartey, L Ying, X Li Annual conference of International Society of Magnetic Resonance in Medicine …, 2021 | 2 | 2021 |
| Deep learning MR relaxometry with joint spatial-temporal under-sampling H Li, M Yang, J Kim, R Liu, C Zhang, P Huang, SK Gaire, D Liang, X Li, ... Annual Meeting of the International Society for Magnetic Resonance in …, 2020 | 2 | 2020 |
| Accelerated 3D localization microscopy using blind sparse inpainting SK Gaire, C Zhang, H Li, P Huang, R Liu, H Wang, D Liang, L Ying 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019 | 2 | 2019 |
| Accelerating T2 mapping using a self-trained kernel PCA model C Zhang, U Nakarmi, H Li, Y Zhou, D Liang, L Ying International Society for Magnetic Resonance in Medicine, 2018 | 2 | 2018 |
| Joint 3D parameter mapping and motion correction using a kernel low rank method with offline training C Zhang, JH Kim, H Li, P Huang, R Liu, D Liang, X Zhang, X Li, L Ying Proc. Intl. Soc. Mag. Reson. Med.(ISMRM), 2020 | 1 | 2020 |
| Deep learning for highly accelerated diffusion tensor imaging H Li, Z Liang, C Zhang, R Liu, J Li, W Zhang, D Liang, B Shen, X Zhang, ... arXiv preprint arXiv:2002.01031, 2020 | 1 | 2020 |
| Highly Accelerated 3D MR Angiography Using Multi-Channel Blind Deconvolution P Huang, J Lyu, H Li, Y Chen, S Liu, C Zhang, U Nakarmi, EM Haacke, ... ISMRM Annual Meeting, 2018 | 1 | 2018 |
| Superfast diffusion tensor imaging and fiber tractography using deep learning H Li, Z Liang, C Zhang, R Liu, J Li, W Zhang, D Liang, B Shen, X Zhang, ... arXiv preprint ArXiv:2002.01031, 0 | 1 | |
| MLS: Self-learned joint manifold geometry and sparsity aware framework for highly accelerated cardiac cine imaging U Nakarmi, K Slavakis, H Li, C Zhang, P Huang, S Gaire, L Ying Proc Intl Soc Mag Reson Med 26, 0441, 0 | 1 | |
Leslie YingProfessor of Biomedical Engineering & Electrical Engineering, University at BuffaloVerified email at buffalo.edu
