Picture for Hongjie Yan

Hongjie Yan

STANet: A Novel Spatio-Temporal Aggregation Network for Depression Classification with Small and Unbalanced FMRI Data

Add code
Jul 31, 2024
Figure 1 for STANet: A Novel Spatio-Temporal Aggregation Network for Depression Classification with Small and Unbalanced FMRI Data
Figure 2 for STANet: A Novel Spatio-Temporal Aggregation Network for Depression Classification with Small and Unbalanced FMRI Data
Figure 3 for STANet: A Novel Spatio-Temporal Aggregation Network for Depression Classification with Small and Unbalanced FMRI Data
Figure 4 for STANet: A Novel Spatio-Temporal Aggregation Network for Depression Classification with Small and Unbalanced FMRI Data
Viaarxiv icon

Neural Modulation Alteration to Positive and Negative Emotions in Depressed Patients: Insights from fMRI Using Positive/Negative Emotion Atlas

Add code
Jul 26, 2024
Figure 1 for Neural Modulation Alteration to Positive and Negative Emotions in Depressed Patients: Insights from fMRI Using Positive/Negative Emotion Atlas
Figure 2 for Neural Modulation Alteration to Positive and Negative Emotions in Depressed Patients: Insights from fMRI Using Positive/Negative Emotion Atlas
Figure 3 for Neural Modulation Alteration to Positive and Negative Emotions in Depressed Patients: Insights from fMRI Using Positive/Negative Emotion Atlas
Figure 4 for Neural Modulation Alteration to Positive and Negative Emotions in Depressed Patients: Insights from fMRI Using Positive/Negative Emotion Atlas
Viaarxiv icon

A Tale of Single-channel Electroencephalogram: Devices, Datasets, Signal Processing, Applications, and Future Directions

Add code
Jul 20, 2024
Viaarxiv icon

MHNet: Multi-view High-order Network for Diagnosing Neurodevelopmental Disorders Using Resting-state fMRI

Add code
Jul 03, 2024
Viaarxiv icon

You Only Acquire Sparse-channel (YOAS): A Unified Framework for Dense-channel EEG Generation

Add code
Jun 21, 2024
Viaarxiv icon

MM-GTUNets: Unified Multi-Modal Graph Deep Learning for Brain Disorders Prediction

Add code
Jun 20, 2024
Viaarxiv icon

MSHCNet: Multi-Stream Hybridized Convolutional Networks with Mixed Statistics in Euclidean/Non-Euclidean Spaces and Its Application to Hyperspectral Image Classification

Add code
Oct 07, 2021
Figure 1 for MSHCNet: Multi-Stream Hybridized Convolutional Networks with Mixed Statistics in Euclidean/Non-Euclidean Spaces and Its Application to Hyperspectral Image Classification
Figure 2 for MSHCNet: Multi-Stream Hybridized Convolutional Networks with Mixed Statistics in Euclidean/Non-Euclidean Spaces and Its Application to Hyperspectral Image Classification
Figure 3 for MSHCNet: Multi-Stream Hybridized Convolutional Networks with Mixed Statistics in Euclidean/Non-Euclidean Spaces and Its Application to Hyperspectral Image Classification
Figure 4 for MSHCNet: Multi-Stream Hybridized Convolutional Networks with Mixed Statistics in Euclidean/Non-Euclidean Spaces and Its Application to Hyperspectral Image Classification
Viaarxiv icon

CSC-Unet: A Novel Convolutional Sparse Coding Strategy based Neural Network for Semantic Segmentation

Add code
Aug 01, 2021
Figure 1 for CSC-Unet: A Novel Convolutional Sparse Coding Strategy based Neural Network for Semantic Segmentation
Figure 2 for CSC-Unet: A Novel Convolutional Sparse Coding Strategy based Neural Network for Semantic Segmentation
Figure 3 for CSC-Unet: A Novel Convolutional Sparse Coding Strategy based Neural Network for Semantic Segmentation
Figure 4 for CSC-Unet: A Novel Convolutional Sparse Coding Strategy based Neural Network for Semantic Segmentation
Viaarxiv icon