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TransforMesh: A Transformer Network for Longitudinal modeling of Anatomical Meshes
Ignacio Sarasua, Sebastian Pölsterl, Christian Wachinger
The longitudinal modeling of neuroanatomical changes related to Alzheimer's disease (AD) is crucial for studying the progression of the disease. To this end, we introduce TransforM…
The Medical Segmentation Decathlon
Michela Antonelli, Annika Reinke, Spyridon Bakas +55
International challenges have become the de facto standard for comparative assessment of image analysis algorithms given a specific task. Segmentation is so far the most widely inv…
Geometric Deep Learning on Anatomical Meshes for the Prediction of Alzheimer's Disease
Ignacio Sarasua, Jonwong Lee, Christian Wachinger
Geometric deep learning can find representations that are optimal for a given task and therefore improve the performance over pre-defined representations. While current work has ma…