Picture for Zening Fu

Zening Fu

Tri-Institutional Center for Translational Research in Neuroimaging and Data Science

An interpretable generative multimodal neuroimaging-genomics framework for decoding Alzheimer's disease

Add code
Jun 19, 2024
Viaarxiv icon

An Interpretable Cross-Attentive Multi-modal MRI Fusion Framework for Schizophrenia Diagnosis

Add code
Mar 29, 2024
Viaarxiv icon

Multiscale Neuroimaging Features for the Identification of Medication Class and Non-Responders in Mood Disorder Treatment

Add code
Feb 12, 2024
Viaarxiv icon

Self-Supervised Mental Disorder Classifiers via Time Reversal

Add code
Nov 30, 2022
Viaarxiv icon

MultiCrossViT: Multimodal Vision Transformer for Schizophrenia Prediction using Structural MRI and Functional Network Connectivity Data

Add code
Nov 12, 2022
Viaarxiv icon

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

Add code
Sep 15, 2022
Figure 1 for 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
Figure 2 for 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
Figure 3 for 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
Figure 4 for 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
Viaarxiv icon

Deep Dynamic Effective Connectivity Estimation from Multivariate Time Series

Add code
Feb 16, 2022
Figure 1 for Deep Dynamic Effective Connectivity Estimation from Multivariate Time Series
Figure 2 for Deep Dynamic Effective Connectivity Estimation from Multivariate Time Series
Figure 3 for Deep Dynamic Effective Connectivity Estimation from Multivariate Time Series
Figure 4 for Deep Dynamic Effective Connectivity Estimation from Multivariate Time Series
Viaarxiv icon

A deep learning model for data-driven discovery of functional connectivity

Add code
Dec 07, 2021
Figure 1 for A deep learning model for data-driven discovery of functional connectivity
Figure 2 for A deep learning model for data-driven discovery of functional connectivity
Figure 3 for A deep learning model for data-driven discovery of functional connectivity
Figure 4 for A deep learning model for data-driven discovery of functional connectivity
Viaarxiv icon

Multi network InfoMax: A pre-training method involving graph convolutional networks

Add code
Nov 01, 2021
Figure 1 for Multi network InfoMax: A pre-training method involving graph convolutional networks
Figure 2 for Multi network InfoMax: A pre-training method involving graph convolutional networks
Figure 3 for Multi network InfoMax: A pre-training method involving graph convolutional networks
Viaarxiv icon

Brain dynamics via Cumulative Auto-Regressive Self-Attention

Add code
Nov 01, 2021
Figure 1 for Brain dynamics via Cumulative Auto-Regressive Self-Attention
Figure 2 for Brain dynamics via Cumulative Auto-Regressive Self-Attention
Figure 3 for Brain dynamics via Cumulative Auto-Regressive Self-Attention
Viaarxiv icon