Picture for Nizhuan Wang

Nizhuan Wang

Advances in Photoacoustic Imaging Reconstruction and Quantitative Analysis for Biomedical Applications

Add code
Nov 05, 2024
Figure 1 for Advances in Photoacoustic Imaging Reconstruction and Quantitative Analysis for Biomedical Applications
Figure 2 for Advances in Photoacoustic Imaging Reconstruction and Quantitative Analysis for Biomedical Applications
Figure 3 for Advances in Photoacoustic Imaging Reconstruction and Quantitative Analysis for Biomedical Applications
Figure 4 for Advances in Photoacoustic Imaging Reconstruction and Quantitative Analysis for Biomedical Applications
Viaarxiv icon

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
Figure 1 for You Only Acquire Sparse-channel (YOAS): A Unified Framework for Dense-channel EEG Generation
Figure 2 for You Only Acquire Sparse-channel (YOAS): A Unified Framework for Dense-channel EEG Generation
Figure 3 for You Only Acquire Sparse-channel (YOAS): A Unified Framework for Dense-channel EEG Generation
Figure 4 for You Only Acquire Sparse-channel (YOAS): A Unified Framework for Dense-channel EEG Generation
Viaarxiv icon

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

Add code
Jun 20, 2024
Viaarxiv icon

Multi-View Vertebra Localization and Identification from CT Images

Add code
Jul 24, 2023
Viaarxiv icon

Underwater target detection based on improved YOLOv7

Add code
Feb 14, 2023
Viaarxiv icon

A Novel Unified Conditional Score-based Generative Framework for Multi-modal Medical Image Completion

Add code
Jul 07, 2022
Figure 1 for A Novel Unified Conditional Score-based Generative Framework for Multi-modal Medical Image Completion
Figure 2 for A Novel Unified Conditional Score-based Generative Framework for Multi-modal Medical Image Completion
Figure 3 for A Novel Unified Conditional Score-based Generative Framework for Multi-modal Medical Image Completion
Viaarxiv icon