60 citations · 353 across the 40 of their papers we have counts for
13 papers · 1 filter
BRIEF: BRain-Inspired network connection search with Extensive temporal feature Fusion enhances disease classification
Xiangxiang Cui, Min Zhao, Dongmei Zhi +3
Existing deep learning models for functional MRI-based classification have limitations in network architecture determination (relying on experience) and feature space fusion (mostl…
MoRE-Brain: Routed Mixture of Experts for Interpretable and Generalizable Cross-Subject fMRI Visual Decoding
Yuxiang Wei, Yanteng Zhang, Xi Xiao +3
Decoding visual experiences from fMRI offers a powerful avenue to understand human perception and develop advanced brain-computer interfaces. However, current progress often priori…
Brain dynamics via Cumulative Auto-Regressive Self-Attention
Usman Mahmood, Zening Fu, Vince Calhoun +1
Multivariate dynamical processes can often be intuitively described by a weighted connectivity graph between components representing each individual time-series. Even a simple repr…
Fusing multimodal neuroimaging data with a variational autoencoder
Eloy Geenjaar, Noah Lewis, Zening Fu +3
Neuroimaging studies often involve the collection of multiple data modalities. These modalities contain both shared and mutually exclusive information about the brain. This work ai…
Algorithm-Agnostic Explainability for Unsupervised Clustering
Charles A. Ellis, Mohammad S. E. Sendi, Eloy P. T. Geenjaar +3
Supervised machine learning explainability has developed rapidly in recent years. However, clustering explainability has lagged behind. Here, we demonstrate the first adaptation of…
Self-Supervised Multimodal Domino: in Search of Biomarkers for Alzheimer's Disease
Alex Fedorov, Tristan Sylvain, Eloy Geenjaar +7
Sensory input from multiple sources is crucial for robust and coherent human perception. Different sources contribute complementary explanatory factors. Similarly, research studies…