3 papers
physics.med-ph2019
Generation of abdominal synthetic CTs from 0.35T MR images using generative adversarial networks for MR-only liver radiotherapy
Jie Fu, Kamal Singhrao, Minsong Cao +7
Electron density maps must be accurately estimated to achieve valid dose calculation in MR-only radiotherapy. The goal of this study is to assess whether two deep learning models,…
astro-ph.CO2019
Search for dark matter with a 231-day exposure of liquid argon using DEAP-3600 at SNOLAB
R. Ajaj, P. -A. Amaudruz, G. R. Araujo +99
DEAP-3600 is a single-phase liquid argon (LAr) direct-detection dark matter experiment, operating 2 km underground at SNOLAB (Sudbury, Canada). The detector consists of 3279 kg of…
physics.med-ph2018
Male pelvic synthetic CT generation from T1-weighted MRI using 2D and 3D convolutional neural networks
Jie Fu, Yingli Yang, Kamal Singhrao +3
To achieve magnetic resonance (MR)-only radiotherapy, a method needs to be employed to estimate a synthetic CT (sCT) for generating electron density maps and patient positioning re…