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Toward Foundation Models for Earth Monitoring: Proposal for a Climate Change Benchmark
Recent progress in self-supervision shows that pre-training large neural networks on vast amounts of unsupervised data can lead to impressive increases in generalisation for downstream tasks.
3D Reasoning for Unsupervised Anomaly Detection in Pediatric WbMRI
Modern deep unsupervised learning methods have shown great promise for detecting diseases across a variety of medical imaging modalities.
Using Generative Models for Pediatric wbMRI
Early detection of cancer is key to a good prognosis and requires frequent testing, especially in pediatrics.
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