research
∙
05/21/2023
Generalizable synthetic MRI with physics-informed convolutional networks
In this study, we develop a physics-informed deep learning-based method ...
share
research
∙
03/28/2023
SynthRAD2023 Grand Challenge dataset: generating synthetic CT for radiotherapy
Purpose: Medical imaging has become increasingly important in diagnosing...
research
∙
03/17/2023
Exploring contrast generalisation in deep learning-based brain MRI-to-CT synthesis
Background: Synthetic computed tomography (sCT) has been proposed and in...
research
∙
02/04/2021
Deep learning-based synthetic-CT generation in radiotherapy and PET: a review
Recently, deep learning (DL)-based methods for the generation of synthet...
research
∙
02/03/2020
A deep learning method for image-based subject-specific local SAR assessment
PURPOSE: Local specific absorption rate (SAR) cannot be measured and is ...
research
∙
02/03/2020
Dose evaluation of fast synthetic-CT generation using a generative adversarial network for general pelvis MR-only radiotherapy
To enable magnetic resonance (MR)-only radiotherapy and facilitate model...
research
∙
02/03/2020
Fast contour propagation for MR‐guided prostate radiotherapy using convolutional neural networks
Purpose To quickly and automatically propagate organ contours from pretr...
research
∙
12/23/2019