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Cites dataset 8 citations
- ECHO: Toward Contextual Seq2Seq Paradigms in Large EEG Models
Chenyu Liu, Yuqiu Deng, Tianyu Liu, Jinan Zhou, Xin-qiu Zhou, Ziyu Jia, Yi Ding · 2025 · ArXiv
Cites dataset 7 citations
- Chromatic Alpha Complex Generation for EEG Signal Classification
Srikireddy Dhanunjay Reddy, Tharun Kumar Reddy, Hiroshi Higashi · 2024 · 2024 National Conference on Communications (NCC)
Cites dataset 6 citations
- CodeBrain : Towards Decoupled Interpretability and Multi-Scale Architecture for EEG Foundation Model
Jingying Ma, Feng Wu, Qika Lin, Yucheng Xing, Chenyu Liu, Ziyu Jia, Mengling Feng · n/a
Cites dataset 6 citations
- A Hybrid Neural Network Approach Based on RNN and CNN for the Detection of Major Depressive Disorder
Konapala Srilakshmi Anjana Priya, Hema Kumar Goru, Kunapareddy Kavya Priya, Bevara Dinesh Sai Manikanta · 2024 · 2024 IEEE Students Conference on Engineering and Systems (SCES)
Cites dataset 5 citations
- Graph Adapter of EEG Foundation Models for Parameter Efficient Fine Tuning
T. Suzumura, H. Kanezashi, Shotaro Akahori · 2024 · ArXiv
Cites dataset 4 citations
- CWT-based transfer learning model with optimal channel selection for the detection of MDD using EEG signals
Rudro Mohanto, Md Shamim-Al-Mamun, Farhana Binte Sufi, Sarwar Ali, T. Alahmadi, Mohammed Ali Moni, M. Islam · 2026 · Knowl. Based Syst.
Cites dataset 2 citations
- Major Depressive Disorder Diagnosis Using Time–Frequency Embeddings Based on Deep Metric Learning and Neuro-Fuzzy from EEG Signals
Anne Jo, Keun-Chang Kwak · 2025 · Applied Sciences
Cites dataset 2 citations
- A Domain Adversarial Learning Framework for Major Depression Disorder Diagnosis
Shaozhe Liu, Leike An, Ziyu Jia · 2025 · ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Cites dataset 2 citations
- LightFFNet: MDD Prediction on EEG Quantitative Biomarkers
Urvashi Prakash Shukla, Shreeya Garg · 2022 · 2022 International Conference on Engineering and Emerging Technologies (ICEET)
Cites dataset 1 citations
- Depression Diagnosis Using Optimization of Nonlinear EEG Features Based on Parametric Learning Tactics
Ali Asadi Zeidabadi, Melika Changizi, Mahdi Zolfagharzadeh Kermani, Sara Bargi Barkouk · 2024 · 2024 14th International Conference on Computer and Knowledge Engineering (ICCKE)
Cites dataset 1 citations
- Brain Functional Residual Temporal Convolution Network for Major Depressive Disorder Recognition
Xiaofang Sun, Yonghui Xu, Xiangwei Zheng, Wei Guo, Wei He, Yali Jiang, Yongqing Zheng, Lizhen Cui · 2023 · 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
Cites dataset 1 citations
- An optimized EEG-based intrinsic brain network for depression detection using differential graph centrality
Nausheen Ansari, Yusuf Uzzaman Khan, Omar Farooq · 2025 · Biomedical Physics & Engineering Express
Cites dataset 1 citations
- A Dataset Agnostic Architecture for EEG Classification: An adaptive Windowed STFT based Attention Network (AWS-AN)
Lokhesh I L, Tanmay Tekale, B. H. Nandan, Sam V George, Shashikant Patil · 2026 · 2026 14th International Conference on Brain-Computer Interface (BCI)
Cites dataset 1 citations
- STAMP: Spatial-Temporal Adapter with Multi-Head Pooling
Brad Shook, Abigail Turner, Jieshi Chen, Michał Wiliński, Mononito Goswami, Jonathan Elmer, A. Dubrawski · 2025 · ArXiv
Cites dataset 1 citations
- Bridging Accuracy and Explainability in EEG-based Graph Attention Network for Depression Detection
Soujanya Hazra, Sanjay Ghosh · 2025 · ArXiv
Cites dataset 1 citations
- BrainPro: Towards Large-scale Brain State-aware EEG Representation Learning
Yi Ding, Muyun Jiang, Weibang Jiang, Shuailei Zhang, Xin-qiu Zhou, Chenyu Liu, Shanglin Li, Yong Li, Cuntai Guan · 2025 · ArXiv
Cites dataset 1 citations
- Convolutional Neural Network Based Approach for Depression Detection through EEG Signals
Kajal Kumari, Kranti Kumar Dewangan, Reena Sahu · 2023 · 2023 International Conference on Artificial Intelligence for Innovations in Healthcare Industries (ICAIIHI)
Cites dataset 1 citations
- Research and selection of the optimal neural network architecture and parameters for depression classification using harmonized datasets
V. Savinov, V. Sapunov, N. Shusharina, S. Botman, G. Kamyshov · 2022 · 2022 Fourth International Conference Neurotechnologies and Neurointerfaces (CNN)
Cites dataset 1 citations
- A Hybrid Quantum-Classical Multiscale LSTM Framework for Subject-Level EEG-Based Depression Detection
Sathiya E, Chunzhuo Wang, T.D. Rao, T. Sunil Kumar · 2026 · medRxiv
Cites dataset
- Methodology of collection, recording and markup of biophysical multimodal data in the study of human psychoemotional states
Natalia Shusharina · 2024 · Izvestiya of Saratov University Physics
Cites dataset
- infoEEG-TM: A Non-Pretrained EEG Representation Learning Framework Basedon Information Theory
Jiang Wu, Huan Gao, Shangyang Li, Tao Lu · 2025 · SSRN Electronic Journal
Cites dataset
- A machine learning approach based on EEG signals for detection of depression
Prajakta Rohan Naregalkar, Arundhati A. Shinde, Mangal Patil · 2025 · Engineering Research Express
Cites dataset
- Advancing Clinical Trust in Deep Learning EEG Depression Detection Model: A Systematic Analysis of Demographic Influences, Task Dynamics, and AI Explainability
Sumathi Balakrishnan, B.S.M. Ronald, Gregorius Hans Andreanto, WeiWei Goh, M. Nagentrau · 2025 · Algorithms for intelligent systems
Cites dataset
- Efficiency of convolutional neural networks of different architecture for the task of depression diagnosis from EEG data
Natalia Shusharina · 2024 · Izvestiya VUZ Applied Nonlinear Dynamics
Cites dataset
- Reproducibility of electroencephalography biomarkers for diagnosis of major depressive disorder
Yasmin Hollenbenders, Friedrich Ph. Carrle, Roman Mähler, Christoph Maier, Alexandra Reichenbach · 2024 · medRxiv
Cites dataset
- Handcrafted Versus Deep Transfer Learning Features for EEG-Based Detection of Major Depressive Disorder
Harsh Bhasin, Nishtha Nagar, Tanish · 2026 · Lecture notes in networks and systems
Cites dataset
- NeuroNarrator: A Generalist EEG-to-Text Foundation Model for Clinical Interpretation via Spectro-Spatial Grounding and Temporal State-Space Reasoning
Guoan Wang, Shihao Yang, Jun-En Ding, Hao Zhu, Feng Liu · 2026 · bioRxiv (Cold Spring Harbor Laboratory)
Cites dataset
- S-CEReBrO: Breaking the Memory Barrier in Continuous EEG Monitoring
G. Bucagu, T. Ingolfsson, Yawei Li, Luca Benini · 2026 · n/a
Cites dataset
- Binary Particle Swarm Optimization Based EEG Channel Selection for Major Depressive Disorder Detection
Divya Pachauri, U. Shukla, Rahul Kumar Vijay · 2026 · SN Computer Science
Cites dataset
- Validation-Aware Retrospective EEG Treatment-Response Modelling Using Chaotic Pattern of Prime Numbers Features: Segment-Level Separability and Subject-Wise Generalisation
Hesam Akbari, Mutlu Mete, Reza Rostami, Reza Kazemi, Muhammad Tariq Sadiq · 2026 · Bioengineering
Cites dataset
- A Multi-dimensional Framework for Evaluating Generalization in EEG Foundation Models
Aditya Kommineni, Emily Zhou, Kleanthis Avramidis, Tiantian Feng, Shrikanth S. Narayanan · 2026 · ArXiv
Cites dataset
- Comparing Post-Hoc Explainable AI Methods for Interpreting Black-Box EEG Models in Depression Detection
Antonia Sarcevic, Nikolina Frid · 2026 · ArXiv
Cites dataset
- Subject-Wise Depression Screening from Eight-Channel Resting-State EEG Using Asymmetry-Aware Spectral Features and Connectivity Ablation
Hassan Ugail, Newton Howard, A. Elmahmudi, Z. Mnasri · 2026 · Sensors (Basel, Switzerland)
Cites dataset
- DepHNN: A Hybrid CNN-LSTM Approach for EEG-Based Depression Detection
Mareddy Charan, Balappagari Latha Sree, S. R, Badrinath K, Chagaleru Sathyanarayanagari Mounika · 2026 · 2026 4th International Conference on Knowledge Engineering and Communication Systems (ICKECS)
Cites dataset
- DLink: Distilling Layer-wise and Dominant Knowledge from EEG Foundation Models
Jingyuan Wang, Meiyan Xu, Zhihao Jia, Chenyu Liu, Xin-qiu Zhou, Ziyu Jia, Yong Li, Fangkun Li, Junfeng Yao, Yi Ding · 2026 · ArXiv
Cites dataset
- CAMEL-CLIP: Channel-aware Multimodal Electroencephalography-text Alignment for Generalizable Brain Foundation Models
Hanseul Choi, Jinyeong Park, Seongwon Jin, Sungho Park, Jibum Kim · 2026 · ArXiv
Cites dataset
- One Brain, Omni Modalities: Towards Unified Non-Invasive Brain Decoding with Large Language Models
Changli Tang, Shurui Li, Junliang Wang, Qinfan Xiao, Z. Zhai, Lei Bai, Yu Qiao, Bowen Zhou, Wen Wu, Yuanning Li, ChaoBin Zhang · 2026 · ArXiv
Cites dataset
- Quantification of Major Depressive Disorder via Spectrogram-Based Analysis of Electroencephalography Signals
M. Afridi, Aamir Arsalan, Nargis Bibi · 2025 · 2025 27th International Multitopic Conference (INMIC)
Cites dataset
- QuanvNeXt: An end-to-end quanvolutional neural network for EEG-based detection of major depressive disorder
Nabil Anan Orka, Ehtashamul Haque, Maftahul Jannat, Md. Abdul Awal, Mohammad Ali Moni · 2025 · ArXiv
Cites dataset
- Optimal Set of Time-Domain Features of EEG Signal Predicts Outcome of Depression Therapy
Mutlu Mete, Hesam Akbari, Nurcan Yuruk · 2025 · 2025 IEEE 25th International Conference on Bioinformatics and Bioengineering (BIBE)
Cites dataset
- Classification of Major Depressive Disorder Based on EEG Signals Using Superlet Transformation and ResNet-18
Sudhan M, S. Priya, M. Subathra, S. A, S. T. George · 2025 · 2025 8th International Conference on Trends in Electronics and Informatics (ICOEI)
Cites dataset
- Geodesic Mean Threshold Scheme on Riemannian Manifold for EEG Signal Classification
Srikireddy Dhanunjay Reddy, Tharun Kumar Reddy · 2025 · ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Cites dataset
- Foundation Models for Brain Signals: A Critical Review of Current Progress and Future Directions
Gayal Kuruppu, Neeraj Wagh, Y. Varatharajah · n/a
Cites dataset
- Toward OpenEEG-Bench: A Live Community-Driven Benchmark for EEG Foundation Models
Pierre Guetschel, Bruno Aristimunha, Dung Truong, Kuntal Kokate, Michael Tangermann, Arnaud Delorme · n/a
Cites dataset