News & Events

Latest research output on lesion inpainting to improve brain volumetric analysis

01 October 2021

Multiple Sclerosis Lesion ‘inpainting’ is a crucial step in brain volumetric analysis pipelines, which generate atrophy metrics used to monitor disease progression and response to therapy. Work from our group Sydney Neuroimaging Analysis Centre deftly and robustly handles lesion inpainting using the latest AI deep learning techniques, automatically preventing tissue mis-classifications. To be presented at MICCAI 2021, our AI-based lesion inpainting algorithm joins a growing armamentarium of AI ​​tools that SNAC has incorporated into multiple clinical-imaging research projects.


For more information please see: LG-Net: Lesion Gate Network for Multiple Sclerosis Lesion Inpainting