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Department of Computer Science, UCL Hawkes Institute, University College London
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BrainNext achieves top-tier performance in neuroimaging tasks by leveraging self-supervised learning on a massive dataset, highlighting the power of large-scale pretraining in medical applications.
Top algorithms in the HECKTOR 2025 challenge achieved impressive segmentation and survival prediction metrics, showcasing the power of multimodal imaging in oncology.
Out-of-domain self-supervised pretraining on brain MRIs beats in-domain supervised learning when generalizing to real-world clinical data.
