| PET/MRI: where might it replace PET/CT? EC Ehman, GB Johnson, JE Villanueva‐Meyer, S Cha, AP Leynes, ... Journal of Magnetic Resonance Imaging 46 (5), 1247-1262, 2017 | 270 | 2017 |
| Zero-echo-time and Dixon deep pseudo-CT (ZeDD CT): direct generation of pseudo-CT images for pelvic PET/MRI attenuation correction using deep convolutional neural networks with … AP Leynes, J Yang, F Wiesinger, SS Kaushik, DD Shanbhag, Y Seo, ... Journal of Nuclear Medicine 59 (5), 852-858, 2018 | 257* | 2018 |
| Hybrid ZTE/Dixon MR‐based attenuation correction for quantitative uptake estimation of pelvic lesions in PET/MRI AP Leynes, J Yang, DD Shanbhag, SS Kaushik, Y Seo, TA Hope, ... Medical physics 44 (3), 902-913, 2017 | 94 | 2017 |
| Synthetic CT generation using MRI with deep learning: How does the selection of input images affect the resulting synthetic CT? AP Leynes, PEZ Larson 2018 IEEE international conference on acoustics, speech and signal …, 2018 | 13 | 2018 |
| Breaking speed limits with simultaneous ultra-fast MRI reconstruction and tissue segmentation F Calivá, AP Leynes, R Shah, UU Bharadwaj, S Majumdar, PEZ Larson, ... Medical Imaging with Deep Learning, 94-110, 2020 | 11 | 2020 |
| Shuffled magnetization‐prepared multicontrast rapid gradient‐echo imaging P Cao, X Zhu, S Tang, A Leynes, A Jakary, PEZ Larson Magnetic resonance in medicine 79 (1), 62-70, 2018 | 10 | 2018 |
| Simultaneous T1 and T2 mapping of hyperpolarized 13C compounds using the bSSFP sequence E Milshteyn, GD Reed, JW Gordon, C von Morze, P Cao, S Tang, ... Journal of Magnetic Resonance 312, 106691, 2020 | 9 | 2020 |
| Attenuation Coefficient Estimation for PET/MRI With Bayesian Deep Learning pseudo-CT and Maximum Likelihood Estimation of Activity and Attenuation AP Leynes, SP Ahn, KA Wangerin, SS Kaushik, F Wiesinger, TA Hope, ... IEEE TRPMS 10.1109/TRPMS.2021.3118325, 2020 | 9 | 2020 |
| Bayesian deep learning uncertainty estimation and pseudo-CT prior for robust maximum likelihood estimation of activity and attenuation (UpCT-MLAA) in the presence of metal … AP Leynes, SP Ahn, KA Wangerin, SS Kaushik, F Wiesinger, TA Hope, ... arXiv preprint arXiv:2001.03414, 2020 | 5 | 2020 |
| Simultaneous segmentation and relaxometry for MRI through multitask learning P Cao, J Liu, S Tang, AP Leynes, JM Lupo, D Xu, PEZ Larson Medical physics 46 (10), 4610-4621, 2019 | 5 | 2019 |
| Scan-specific self-supervised bayesian deep non-linear inversion for undersampled MRI reconstruction AP Leynes, N Deveshwar, SS Nagarajan, PEZ Larson IEEE Transactions on Medical Imaging, 2024 | 4 | 2024 |
| A compact planar triple-nuclear coil for small animal 1H, 13C, and 31P metabolic MR imaging at 14.1 T AP Leynes, Y Chen, S Sukumar, D Xu, X Zhang arXiv preprint arXiv:2109.03015, 2021 | 4 | 2021 |
| Physics-driven deep learning for pet/mri A Rajagopal, AP Leynes, N Dwork, JE Scholey, TA Hope, PEZ Larson arXiv preprint arXiv:2206.06788, 2022 | 3 | 2022 |
| Deep learning-based mr-derived pet prediction for patient-conforming pet phantoms A Rajagopal, A Leynes, SS James, R Laforest, P Larson, T Hope Journal of Nuclear Medicine 61 (supplement 1), 1417-1417, 2020 | 3 | 2020 |
| Deep Learning based pseudo-CT computation and its application for PET/MR attenuation correction and MR-guided radiation therapy planning S Kaushik, C Cozzini, M Bylund, J Yang, D Shanbhag, J Jonsson, ... Proc. Joint Annual Meeting ISMRM ESMRMB, Paris, France, 1253, 2018 | 3 | 2018 |
| Deep Learning based pseudo-CT estimation using ZTE and Dixon MR images for PET attenuation correction S Kaushik, D Shanbhag, A Leynes, H Ravishankar, J Yang, P Larson, ... Int. Soc. Magn. Reson. Med. Annu. Meeting, 2017 | 3 | 2017 |
| Extreme looping star: quiet fMRI at high spatiotemporal resolution AP Leynes, NL Damestani, DJ Lythgoe, AB Solana, B Fernandez, B Burns, ... Proceedings of the 30th Annual Meeting of the ISMRM 458, 2021 | 2 | 2021 |
| Development of conditional random field insert for unet-based zonal prostate segmentation on t2-weighted mri P Cao, SM Noworolski, O Starobinets, N Korn, SP Kramer, ... arXiv preprint arXiv:2002.06330, 2020 | 2 | 2020 |
| ZT-AC: Zero TE based PET/MR attenuation correction F Wiesinger, SS Kaushik, DD Shanbhag, V Chebrolu, V Vaidya, S Ahn, ... Proc Int Soc Magn Reson Med 24, 3559, 2016 | 2 | 2016 |
| Bayesian Deep Learning Methods in Magnetic Resonance Imaging (MRI) and Simultaneous Positron Emission Tomography and Magnetic Resonance Imaging (PET/MRI) AP Leynes University of California, San Francisco, 2022 | 1 | 2022 |
Peder LarsonProfessor of Radiology and Biomedical Imaging, University of California - San Francisco在 ucsf.edu 的电子邮件经过验证
