Proceedings of GRaM: the Second Edition of the Workshop on Geometry-grounded Representation Learning and Generative Modeling Held in Riocentro Convention and Event Center, Rio de Janeiro, Brazil on 26...

⚡ Triton implementation of Clifford algebra neural networks. - maxxxzdn/flash-clifford

<p><span>Are you passionate about advancing Machine Learning by integrating insights from the natural sciences? Are you eager to bridge the 3rd (<em><span>computational</span></em>) and 4th (<em><span...

Hemodynamic quantities are valuable biomedical risk factors for cardiovascular pathology such as atherosclerosis. Non-invasive, in-vivo measurement of…

Geometry-grounded Representation Learning and Generative Modeling

YouTube video by Bastian Grossenbacher-Rieck

Multiple (pre-)clinical trials are required in the regulatory trajectory to introduce new medical devices in clinical practice. The process is widely acknowledged as sub-optimal, resource-heavy, and t...

This study evaluates the efficacy and interpretability of graph neural networks in automatically detecting focal cortical dysplasia lesions on magnetic resonance imaging scans.

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The Developing Human Connectome Project (dHCP) aims to explore developmental patterns of the human brain during the perinatal period. An automated processing pipeline has been developed to extract hig...