Develop a system to automatically segment vessels in human retina fundus images.
Learn2Reg
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Challenge on medical image registration addressing: learning from small datasets; estimating large deformations; dealing with multi-modal scans; and learning from noisy annotations
Justified Referral in AI Glaucoma Screening
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AutoPET III
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Multi-Class Segmentation of Aortic Branches and Zones in CTA
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3D Segmentation of Aortic Branches and Zones on Computed Tomography Angiography (CTA)
SynthRAD2025
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SynthRAD is the first challenge on automatic generation of synthetic computed tomography (sCT) for radiotherapy
Calibration and Uncertainty for multiRater Volume Assessment in
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UNICORN
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Grand challenge on benchmarking vision-language foundation models in the digital pathology and radiology domain
Deep-learning Evaluation for Enhanced Prognostics - PSMA PET
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autoPET/CT IV
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Automated Lesion Segmentation in PET/CT - The human frontier
