Research map: A hybrid convolutional neural-transformer framework with center-based separation index pruning for depression detection from electroencephalography signals

Back to the article

Papers in this map

  1. ImageNet Large Scale Visual Recognition Challenge · Olga Russakovsky · 2015 · 40842 citations · Cited by this paper
  2. Physical PPG signal synthesis via reinforcement learning-based LED control · 2026 · Related
  3. An Inventory for Measuring Depression · Aaron T. Beck · 1961 · 38426 citations · Cited by this paper
  4. HTST-Net: A hierarchical time-distributed network with spatial–temporal feature gated fusion for genomic insertion variant calling · 2026 · Related
  5. An introduction to ROC analysis · Tom E. Fawcett · 2005 · 22039 citations · Cited by this paper
  6. PRISM-FedSeg: enhancing medical image segmentation through self-supervised federated learning with privacy preservation · 2026 · Related
  7. A ConvNet for the 2020s · Zhuang Liu · 2022 · 8116 citations · Cited by this paper
  8. Desynchronization Index: A new connectivity approach for exploring epileptogenic networks · 2026 · Related
  9. A systematic analysis of performance measures for classification tasks · Marina V. Sokolova · 2009 · 7037 citations · Cited by this paper
  10. Principal time–frequency component analysis for interpretable motor imagery BCIs · 2026 · Related
  11. A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects · Zewen Li · 2021 · 5157 citations · Cited by this paper
  12. A unified framework for integrated prediction and personalized management of hormonal and mental health disorders · 2026 · Related
  13. EEGNet: a compact convolutional neural network for EEG-based brain–computer interfaces · Vernon J Lawhern · 2018 · 4748 citations · Cited by this paper
  14. SHHN: A Sequential Hierarchy Hybrid Network for multimodal cancer survival prediction · 2026 · Related
  15. Transformers in Vision: A Survey · Salman Hameed Khan · 2022 · 3554 citations · Cited by this paper
  16. EMG-derived chaotic feature-based induced pain assessment technique using CNN architecture · 2026 · Related
  17. A survey of the recent architectures of deep convolutional neural networks · Asifullah Khan · 2020 · 2557 citations · Cited by this paper
  18. Atrial fibrillation detection using beat-to-beat RR intervals and deep learning in large databases · 2026 · Related
  19. A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI · Erico Tjoa · 2020 · 2437 citations · Cited by this paper
  20. J-RAS: Mutual adaptation for medical image segmentation via contrastive retrieval-augmented joint optimization · 2026 · Related
  21. Deep learning-based electroencephalography analysis: a systematic review · Yannick Roy · 2019 · 1543 citations · Cited by this paper
  22. EEG Conformer: Convolutional Transformer for EEG Decoding and Visualization · Yonghao Song · 2022 · 1075 citations · Cited by this paper
  23. Left frontal hypoactivation in depression. · Jeffrey B. Henriques · 1991 · 747 citations · Cited by this paper
  24. An Ensemble of Fine-Tuned Convolutional Neural Networks for Medical Image Classification · Ashnil Kumar · 2016 · 527 citations · Cited by this paper
  25. EEG power, frequency, asymmetry and coherence in male depression · Verner Knott · 2001 · 407 citations · Cited by this paper
  26. Automated Depression Detection Using Deep Representation and Sequence Learning with EEG Signals · Betül Ay · 2019 · 296 citations · Cited by this paper
  27. A wavelet-based technique to predict treatment outcome for Major Depressive Disorder · Wajid Mumtaz · 2017 · 274 citations · Cited by this paper
  28. Electroencephalogram (EEG)-based computer-aided technique to diagnose major depressive disorder (MDD) · Wajid Mumtaz · 2016 · 235 citations · Cited by this paper
  29. Deep learning and machine learning in psychiatry: a survey of current progress in depression detection, diagnosis and treatment · Matthew Squires · 2023 · 157 citations · Cited by this paper
  30. Neural Manifold Decoder for Acupuncture Stimulations With Representation Learning: An Acupuncture-Brain Interface · Haitao Yu · 2025 · 138 citations · Cited by this paper
  31. Giving Voice to Vulnerable Children: Machine Learning Analysis of Speech Detects Anxiety and Depression in Early Childhood · Ellen W. McGinnis · 2019 · 134 citations · Cited by this paper
  32. Can Emotion Be Transferred?—A Review on Transfer Learning for EEG-Based Emotion Recognition · Wei Li · 2021 · 127 citations · Cited by this paper
  33. Deep Learning in EEG: Advance of the Last Ten-Year Critical Period · Shu Gong · 2021 · 121 citations · Cited by this paper
  34. Feature subset selection bias for classification learning · Surendra K. Singhi · 2006 · 108 citations · Cited by this paper
  35. The two decades brainclinics research archive for insights in neurophysiology (TDBRAIN) database · Hanneke van Dijk · 2022 · 101 citations · Cited by this paper
  36. Exploring Self-Attention Graph Pooling With EEG-Based Topological Structure and Soft Label for Depression Detection · Tao Chen · 2022 · 97 citations · Cited by this paper
  37. EDT: An EEG-based attention model for feature learning and depression recognition · Ming Ying · 2024 · 39 citations · Cited by this paper
  38. Spatiospectral Representation and Neural Decoding of Somatic Perception of Acupuncture Stimulations · Haitao Yu · 2025 · 38 citations · Cited by this paper
  39. SLiTRANet: An EEG-Based Automated Diagnosis Framework for Major Depressive Disorder Monitoring Using a Novel LGCN and Transformer-Based Hybrid Deep Learning Approach · Sagnik De · 2024 · 34 citations · Cited by this paper

Source: OpenAlex (CC0)