Open Ground Truth Training Network – Simulated MRI for medical image analysis research
Five abstracts have been accepted for poster presentation at the 28th Annual Meeting of the International Society of Magnetic Resonance in Medicine (ISMRM). The meeting was supposed to take place in May 2020 in Sydney, Australia, but was rescheduled to 8-13 August in Paris, France. The abstract titles can be found here.
4D Semantic Cardiac Magnetic Resonance Image Synthesis on XCAT Anatomical Model
Available on Openreview and arXiv.
We are thrilled to share with you our recent paper accepted for @midl_conference 2020 presenting a novel hybrid controllable image generation method for synthesizing anatomically meaningful 3D+t labelled CMR images. Check out how we efficiently combine a physics-driven anatomical model with a SOTA data-driven generative adversarial network to generate realistic-looking cardiac MR images. As a part of the OpenGTN research, we step towards tackling the limited availability of medical data for deep learning training.