A systematic study of the sensitivity of partial volume correction methods for the quantification of perfusion from pseudo-continuous arterial spin labeling MRI. - Moss Y. Zhao; Melvin Mezue; Andrew R. Segerdahl; Thomas W. Okell; Irene Tracey; Yingyi Xiao; Michael A. Chappell (NeuroImage, 2017)

Cerebrovascular reactivity measurements using simultaneous 15O-water PET and ASL MRI: Impacts of arterial transit time, labeling efficiency, and hematocrit. - Moss Y. Zhao; Audrey P. Fan; David Yen-Ting Chen; Magdalena J. Sokolska; Jia Guo; Yosuke Ishii; David D. Shin; Mohammad Mehdi Khalighi; Dawn Holley; Kim Halbert; Andrea Otte; Brittney Williams; et al. (NeuroImage, 2021)

Multi-task Deep Learning for Cerebrovascular Disease Classification and MRI-to-PET Translation. - Ramy Hussein; Moss Y. Zhao; David Shin; Jia Guo; Kevin T. Chen; Rui D. Armindo; Guido A. Davidzon; Michael E. Moseley; Greg Zaharchuk (ICPR, 2022)

Brain MRI-to-PET Synthesis using 3D Convolutional Attention Networks. - Ramy Hussein; David Shin; Moss Y. Zhao; Jia Guo; Guido A. Davidzon; Michael E. Moseley; Greg Zaharchuk (CoRR, 2022)

Turning brain MRI into diagnostic PET: 15O-water PET CBF synthesis from multi-contrast MRI via attention-based encoder-decoder networks. - Ramy Hussein; David D. Shin; Moss Y. Zhao; Jia Guo; Guido A. Davidzon; Gary Steinberg; Michael E. Moseley; Greg Zaharchuk (Medical Image Anal., 2024)