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Found 4 papers, 3 papers with code
HyperGALE: ASD Classification via Hypergraph Gated Attention with Learnable Hyperedges
Autism Spectrum Disorder (ASD) is a neurodevelopmental condition characterized by varied social cognitive challenges and repetitive behavioral patterns.
BeSt-LeS: Benchmarking Stroke Lesion Segmentation using Deep Supervision
Brain stroke has become a significant burden on global health and thus we need remedies and prevention strategies to overcome this challenge.
Ranked #1 on
Acute Stroke Lesion Segmentation
on ATLAS v2.0
Interpreting Bias in the Neural Networks: A Peek Into Representational Similarity
In this paper, we investigate the performance and internal representational structure of convolution-based neural networks (e. g., ResNets) trained on biased data using various objective functions.
Improvising the Learning of Neural Networks on Hyperspherical Manifold
First, the stereographic projection is implied to transform data from Euclidean space ($\mathbb{R}^{n}$) to hyperspherical manifold ($\mathbb{S}^{n}$) to analyze the performance of angular margin losses.
