Neurology | Psychiatry EEGDepressionNet: A Novel Self Attention-Based Gated DenseNet With Hybrid Heuristic Adopted Mental Depression Detection Model Using EEG Signals. May 15, 2024
Neurology | Psychiatry Improving speech depression detection using transfer learning with wav2vec 2.0 in low-resource environments. April 25, 2024
Neurology | Psychiatry Automated detection of depression using wavelet scattering networks. February 28, 2024
Artificial Intelligence | Data Science | General Practice | Psychiatry Evaluation of deep learning-based depression detection using medical claims data. January 6, 2024
Psychiatry | Technology End-to-end multimodal system for depression detection from online recordings. December 12, 2023
Neurology | Psychiatry Objective Depression Detection Using EEG and Eye Movement Signals Induced by Oil Paintings. December 12, 2023
Computer Vision | Machine Learning | Psychiatry Explainable Depression Detection Based on Facial Expression Using LSTM on Attentional Intermediate Feature Fusion with Label Smoothing. December 9, 2023
Neurology | Psychiatry AMGCN-L: an adaptive multi-time-window graph convolutional network with long-short-term memory for depression detection. October 16, 2023
Neurology | Psychiatry Exploring Adaptive Graph Topologies and Temporal Graph Networks for EEG-based Depression Detection. September 29, 2023
Computer Science | Psychiatry Attention-Enabled Ensemble Deep Learning Models and Their Validation for Depression Detection: A Domain Adoption Paradigm. June 28, 2023
Audiology | Psychiatry | Speech Pathology Attention guided learnable time-domain filterbanks for speech depression detection. June 7, 2023
Neurology | Psychiatry Electroencephalography-Based Depression Detection Using Multiple Machine Learning Techniques. May 27, 2023