| 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 |
| 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 |
| Unsupervised deep unrolled reconstruction using regularization by denoising P Huang, C Zhang, X Zhang, X Li, L Dong, L Ying arXiv preprint arXiv:2205.03519, 2022 | 2 | 2022 |
| 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 |
| 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 |
| Self-supervised Deep Unrolled Reconstruction Using Regularization by Denoising P Huang, C Zhang, X Zhang, X Li, L Dong, L Ying IEEE Transactions on Medical Imaging, 2023 | 1 | 2023 |
| 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 |
| 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 |
| 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 | |
| Accelerating MRI Using Vision Transformer with Unpaired Unsupervised Training P Huang, H Li, R Liu, X Zhang, X Li, D Liang, L Ying Proceedings of the International Society for Magnetic Resonance in Medicine …, 2023 | | 2023 |
| SuperDTI: Superfast Deep-learned Diffusion Tensor Imaging H Li, Z Liang, C Zhang, R Liu, J Li, W Zhang, D Liang, B Shen, P Huang, ... Proc. Intl. Soc. Mag. Reson. Med 29, 1335, 2021 | | 2021 |
| 3D Magnetic Resonance Angiography Reconstruction Using Multi-channel Blind Deconvolution P Huang Faculty of the Graduate school of the University at Buffalo, State …, 2018 | | 2018 |
| Unsupervised Deep Unrolled Reconstruction Powered by Regularization by Denoising P Huang, C Zhang, H Li, R Liu, X Zhang, X Li, D Liang, L Ying | | |
| Combination of Multichannel Blind Deconvolution (MALBEC) and GRAPPA for Highly Accelerated 3D Imaging R Liu, JH Kim, C Zhang, H Li, P Huang, X Li, L Ying | | |
