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Books and Theses
- 2022
[b1]Andrew P. Leynes:
Bayesian Deep Learning Methods in Magnetic Resonance Imaging (MRI) and Simultaneous Positron Emission Tomography and Magnetic Resonance Imaging (PET/MRI). University of California, San Francisco, USA, 2022
Journal Articles
- 2024
- [j2]Andrew P. Leynes
, Nikhil Deveshwar, Srikantan S. Nagarajan, Peder E. Z. Larson:
Scan-Specific Self-Supervised Bayesian Deep Non-Linear Inversion for Undersampled MRI Reconstruction. IEEE Trans. Medical Imaging 43(6): 2358-2369 (2024) - 2018
- [j1]Andrew P. Leynes, James Flynn, Brittany A. Mok:
Event-Related Potential Measures of Smartphone Distraction. Cyberpsychology Behav. Soc. Netw. 21(4): 248-253 (2018)
Conference and Workshop Papers
- 2020
- [c2]Francesco Calivá, Andrew P. Leynes, Rutwik Shah, Upasana Upadhyay Bharadwaj, Sharmila Majumdar, Peder E. Z. Larson, Valentina Pedoia:
Breaking Speed Limits with Simultaneous Ultra-Fast MRI Reconstruction and Tissue Segmentation. MIDL 2020: 94-110 - 2018
- [c1]Andrew P. Leynes, Peder E. Z. Larson:
Synthetic CT Generation Using MRI with Deep Learning: How Does the Selection of Input Images Affect the Resulting Synthetic CT? ICASSP 2018: 6692-6696
Informal and Other Publications
- 2022
- [i1]Abhejit Rajagopal, Andrew P. Leynes, Nicholas Dwork, Jessica E. Scholey, Thomas A. Hope, Peder E. Z. Larson:
Physics-driven Deep Learning for PET/MRI. CoRR abs/2206.06788 (2022)
Coauthor Index
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