Fathima Rifa Badurdeen

SymAD-ECNN: Geometry-Aware Equivariant Learning for Anomaly Detection in Brain MRI

Conventional deep learning models for biomedical anomaly detection often exhibit limited geometric awareness, particularly under rotational transformations, resulting in a reliance on computationally expensive data augmentation and large annotated datasets that are often scarce in clinical environments. This paper prop...