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11/29/2022
Self-Supervised Mental Disorder Classifiers via Time Reversal
Data scarcity is a notable problem, especially in the medical domain, du...
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11/12/2022
MultiCrossViT: Multimodal Vision Transformer for Schizophrenia Prediction using Structural MRI and Functional Network Connectivity Data
Vision Transformer (ViT) is a pioneering deep learning framework that ca...
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09/15/2022
Prediction of Gender from Longitudinal MRI data via Deep Learning on Adolescent Data Reveals Unique Patterns Associated with Brain Structure and Change over a Two-year Period
Deep learning algorithms for predicting neuroimaging data have shown con...
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02/04/2022
Deep Dynamic Effective Connectivity Estimation from Multivariate Time Series
Recently, methods that represent data as a graph, such as graph neural n...
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12/07/2021
A deep learning model for data-driven discovery of functional connectivity
Functional connectivity (FC) studies have demonstrated the overarching v...
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11/01/2021
Multi network InfoMax: A pre-training method involving graph convolutional networks
Discovering distinct features and their relations from data can help us ...
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11/01/2021
Brain dynamics via Cumulative Auto-Regressive Self-Attention
Multivariate dynamical processes can often be intuitively described by a...
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05/03/2021
Fusing multimodal neuroimaging data with a variational autoencoder
Neuroimaging studies often involve the collection of multiple data modal...
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07/29/2020
Whole MILC: generalizing learned dynamics across tasks, datasets, and populations
Behavioral changes are the earliest signs of a mental disorder, but argu...
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11/16/2019
Transfer Learning of fMRI Dynamics
As a mental disorder progresses, it may affect brain structure, but brai...
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04/24/2019
