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A Master Class on Reproducibility: A Student Hackathon on Advanced MRI Reconstruction Methods
Lina Felsner, Sevgi G. Kafali, Hannah Eichhorn +9
We report the design, protocol, and outcomes of a student reproducibility hackathon focused on replicating the results of three influential MRI reconstruction papers: (a) MoDL, an…
Gradient-Weight Alignment as a Train-Time Proxy for Generalization in Classification Tasks
Florian A. Hölzl, Daniel Rueckert, Georgios Kaissis
Robust validation metrics remain essential in contemporary deep learning, not only to detect overfitting and poor generalization, but also to monitor training dynamics. In the supe…
SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments
Simon Dahan, Gabriel Bénédict, Logan Z. J. Williams +4
Current AI frameworks for brain decoding and encoding, typically train and test models within the same datasets. This limits their utility for brain computer interfaces (BCI) or ne…