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Daniel C. Alexander

2 papers indexed

arxivcs.CVcs.AI2026-07-20

BrainNext: A General-Purpose Self-Supervised Foundation Model for Brain MRI Analysis

Moona Mazher, Abdul Qayyum, Steven A. Niederer, Daniel C. Alexander

Foundation models pretrained using self-supervised learning have transformed computer vision by learning transferable representations from large-scale unlabeled data. However, existing foundation models for neuroimaging remain limited by task-specific training, slice-based learni…

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arxivcs.CV2026-07-16

Causal-Adversarial Probing of Clinical Covariates for Prostate MRI Grading

Yipei Wang, Shiqi Huang, Wen Yan, Weixi Yi, Dean C. Barratt, Mark Emberton, et al.

Deep learning models for prostate MRI-based cancer grading may encode clinical covariates that either reflect useful disease-related signal or non-generalising shortcut information, but their role is usually assumed. We propose a causal-reasoning framework for probing covariate d…

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