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Andrew Palmera Leynes
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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
2562017
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
254*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
902017
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
122018
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
102020
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
102018
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
92020
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
62020
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
52020
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
52019
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
42021
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
32024
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
32020
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
32018
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
32017
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
22022
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, 2021
22021
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
22020
ZT-AC: Ā Zero TE based PET/MR attenuation correction
F Wiesinger, S Kaushik, D Shanbhag, V Chebrolu, V Vaidya, S Ahn, ...
22016
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
12022
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