2 papers
cs.CV2026
AGA3DNet: Anatomy-Guided Gaussian Priors with Multi-view xLSTM for 3D Brain MRI Subtype Classification
Peiyu Duan, Xueqi Guo, Sepehr Farhand +5
Accurate 3D brain MRI subtype classification benefits from both localized anatomical cues and long-range contextual reasoning. We present AGA3DNet, a report-grounded framework that…
cs.CV2025
Evaluating unsupervised contrastive learning framework for MRI sequences classification
Yuli Wang, Kritika Iyer, Sep Farhand +1
The automatic identification of Magnetic Resonance Imaging (MRI) sequences can streamline clinical workflows by reducing the time radiologists spend manually sorting and identifyin…