Synthetic CT Generation Using MRI with Deep Learning: How Does the Selection of Input Images Affect the Resulting Synthetic CT? - Andrew P. Leynes; Peder E. Z. Larson (ICASSP, 2018)

Event-Related Potential Measures of Smartphone Distraction. - Andrew P. Leynes; James Flynn; Brittany A. Mok (Cyberpsychology Behav. Soc. Netw., 2018)

Breaking Speed Limits with Simultaneous Ultra-Fast MRI Reconstruction and Tissue Segmentation. - Francesco Calivá; Andrew P. Leynes; Rutwik Shah; Upasana Upadhyay Bharadwaj; Sharmila Majumdar; Peder E. Z. Larson; Valentina Pedoia (MIDL, 2020)

Physics-driven Deep Learning for PET/MRI. - Abhejit Rajagopal; Andrew P. Leynes; Nicholas Dwork; Jessica E. Scholey; Thomas A. Hope; Peder E. Z. Larson (CoRR, 2022)

Bayesian Deep Learning Methods in Magnetic Resonance Imaging (MRI) and Simultaneous Positron Emission Tomography and Magnetic Resonance Imaging (PET/MRI) - Andrew P. Leynes (2022)

Scan-Specific Self-Supervised Bayesian Deep Non-Linear Inversion for Undersampled MRI Reconstruction. - Andrew P. Leynes; Nikhil Deveshwar; Srikantan S. Nagarajan; Peder E. Z. Larson (IEEE Trans. Medical Imaging, 2024)