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Ανδρέας Μιλτιάδους, Katerina D. Tzimourta, Theodora Afrantou, Panagiotis Ioannidis, Nikolaos Grigoriadis, Dimitrios Tsalikakis, Pantelis Angelidis, Markos G. Tsipouras, Euripidis Glavas, Νικόλαος Γιαννακέας, Alexandros T. Tzallas · 2023 · Data
Cites dataset 227 citations
- DICE-Net: A Novel Convolution-Transformer Architecture for Alzheimer Detection in EEG Signals
Ανδρέας Μιλτιάδους, Emmanouil Gionanidis, Katerina D. Tzimourta, Νικόλαος Γιαννακέας, Alexandros T. Tzallas · 2023 · IEEE Access
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- Transformers in EEG Analysis: A Review of Architectures and Applications in Motor Imagery, Seizure, and Emotion Classification
Elnaz Vafaei, Mohammad Hosseini · 2025 · Sensors
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Majid Nour, Ümit Şentürk, Kemal Polat · 2023 · Biomedical Signal Processing and Control
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- TFormer: A time–frequency Transformer with batch normalization for driver fatigue recognition
Ruilin Li, Minghui Hu, Ruobin Gao, Lipo Wang, Ponnuthurai Nagaratnam Suganthan, Olga Sourina · 2024 · Advanced Engineering Informatics
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Yonglin Chen, Huabin Wang, Dailei Zhang, Liping Zhang, Liang Tao · 2023 · Frontiers in Neuroscience
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Nisreen Said Amer, Samir Brahim Belhaouari · 2023 · IEEE Access
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- Diagnosis of Alzheimer’s disease via resting-state EEG: integration of spectrum, complexity, and synchronization signal features
Xiaowei Zheng, Bozhi Wang, Hao Liu, Wencan Wu, Jiamin Sun, Wei Fang, Rundong Jiang, Yajie Hu, Jin Cheng, Xin Wei, Steve Shyh-Ching Chen · 2023 · Frontiers in Aging Neuroscience
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- EEG biomarkers in Alzheimer’s and prodromal Alzheimer’s: a comprehensive analysis of spectral and connectivity features
Chowtapalle Anuraag Chetty, Harsha Bhardwaj, G. Pradeep Kumar, T Devanand, C. S. Aswin Sekhar, Tuba Aktürk, İlayda Kıyı, Görsev Yener, Bahar Güntekin, Justin Joseph, Chinnakkaruppan Adaikkan · 2024 · Alzheimer s Research & Therapy
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- STEADYNet: Spatiotemporal EEG analysis for dementia detection using convolutional neural network
Pramod Kachare, Sandeep B. Sangle, Digambar Puri, Mousa Mohammed Khubrani, Ibrahim Al–Shourbaji · 2024 · Cognitive Neurodynamics
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- LCADNet: a novel light CNN architecture for EEG-based Alzheimer disease detection
Pramod Kachare, Digambar Puri, Sandeep B. Sangle, Ibrahim Al–Shourbaji, Abdoh Jabbari, Raimund Kirner, Abdalla Alameen, Hazem Migdady, Laith Abualigah · 2024 · Physical and Engineering Sciences in Medicine
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- The effect of aperiodic components in distinguishing Alzheimer’s disease from frontotemporal dementia
Zhuyong Wang, Anyang Liu, Jianshen Yu, Pengfei Wang, Yue-Wei Bi, Sha Xue, Jiajun Zhang, Hongbo Guo, Wangming Zhang · 2023 · GeroScience
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- Differentiating Between Alzheimer’s Disease and Frontotemporal Dementia Based on the Resting-State Multilayer EEG Network
Yajing Si, Runyang He, Lin Jiang, Dezhong Yao, Hongxing Zhang, Peng Xu, Xuntai Ma, Liang Yu, Fali Li · 2023 · IEEE Transactions on Neural Systems and Rehabilitation Engineering
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Utkarsh Lal, Arjun Vinayak Chikkankod, Luca Longo · 2024 · Brain Sciences
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- A Novel CNN-Based Framework for Alzheimer’s Disease Detection Using EEG Spectrogram Representations
Kostas Stefanou, Katerina D. Tzimourta, Christos Bellos, Georgios S. Stergios, Konstantinos Markoglou, Emmanouil Gionanidis, Markos G. Tsipouras, Νικόλαος Γιαννακέας, Alexandros T. Tzallas, Ανδρέας Μιλτιάδους · 2025 · Journal of Personalized Medicine
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- EEG-based classification of Alzheimer’s disease and frontotemporal dementia: a comprehensive analysis of discriminative features
Mehran Rostamikia, Yashar Sarbaz, Somayeh Makouei · 2024 · Cognitive Neurodynamics
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- Diagnose Alzheimer’s disease and mild cognitive impairment using deep CascadeNet and handcrafted features from EEG signals
Khosro Rezaee, Min Zhu · 2024 · Biomedical Signal Processing and Control
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- Exploring the Effectiveness of Machine Learning and Deep Learning Techniques for EEG Signal Classification in Neurological Disorders
Souhaila Khalfallah, William Puech, Mehdi Tlija, Kais Bouallegue · 2025 · IEEE Access
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- Generative AI Enables EEG Data Augmentation for Alzheimer’s Disease Detection Via Diffusion Model
Tong Zhou, Xuhang Chen, Yanyan Shen, Martin Nieuwoudt, Chi‐Man Pun, Shuqiang Wang · 2023 · n/a
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- Time-Frequency functional connectivity alterations in Alzheimer’s disease and frontotemporal dementia: An EEG analysis using machine learning
Huang Zheng, Han Xiao, Y Zhang, Haozhe Jia, Xing Ma, Yiqun Gan · 2024 · Clinical Neurophysiology
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- A novel optimal wavelet filter banks for automated diagnosis of Alzheimer’s disease and mild cognitive impairment using Electroencephalogram signals
Digambar Puri, Jayanand P. Gawande, Jaswantsing L. Rajput, Sanjay L. Nalbalwar · 2023 · Decision Analytics Journal
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- Artificial Cognition for Detection of Mental Disability: A Vision Transformer Approach for Alzheimer’s Disease
Maram Fahaad Almufareh, Samabia Tehsin, Mamoona Humayun, Sumaira Kausar · 2023 · Healthcare
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- Automated Detection of Neurological and Mental Health Disorders Using <scp>EEG</scp> Signals and Artificial Intelligence: A Systematic Review
Hakan Uyanık, Abdulkadir Sengur, Massimo Salvi, Ru‐San Tan, Jen Hong Tan, U. Rajendra Acharya · 2025 · Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery
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- Fusing convolutional learning and attention-based Bi-LSTM networks for early Alzheimer’s diagnosis from EEG signals towards IoMT
Mohamadreza Khosravi, Hossein Parsaei, Khosro Rezaee, Mohammad Sadegh Helfroush · 2024 · Scientific Reports
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- Classification of Alzheimer’s Disease and Frontotemporal Dementia Using Electroencephalography to Quantify Communication between Electrode Pairs
Yuan Ma, Jeffrey Bland, Tsutomu Fujinami · 2024 · Diagnostics
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- Metaheuristic optimized time–frequency features for enhancing Alzheimer’s disease identification
Digambar Puri, Pramod Kachare, Sanjay L. Nalbalwar · 2024 · Biomedical Signal Processing and Control
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- Optimal time-frequency localized wavelet filters for identification of Alzheimer’s disease from EEG signals
Digambar Puri, Jayanand P. Gawande, Pramod Kachare, Ibrahim Al–Shourbaji · 2025 · Cognitive Neurodynamics
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- EEGConvNeXt: A novel convolutional neural network model for automated detection of Alzheimer's Disease and Frontotemporal Dementia using EEG signals
Madhav R. Acharya, Ravinesh C. Deo, Prabal Datta Barua, Aruna Devi, Xiaohui Tao · 2025 · Computer Methods and Programs in Biomedicine
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- Electroencephalogram (EEG) Based Fuzzy Logic and Spiking Neural Networks (FLSNN) for Advanced Multiple Neurological Disorder Diagnosis
Shraddha Jain, Rajeev Srivastava · 2025 · Brain Topography
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- The role of data partitioning on the performance of EEG-based deep learning models in supervised cross-subject analysis: A preliminary study
Federico Del Pup, Andrea Zanola, Louis Fabrice Tshimanga, Alessandra Bertoldo, Livio Finos, Manfredo Atzori · 2025 · Computers in Biology and Medicine
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- GLEAM: A multimodal deep learning framework for chronic lower back pain detection using EEG and sEMG signals
Sagnik De, Prithwijit Mukherjee, Anisha Halder Roy · 2025 · Computers in Biology and Medicine
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- Beta-to-Theta Entropy Ratio of EEG in Aging, Frontotemporal Dementia, and Alzheimer's Dementia
Ahmad Zandbagleh, Ανδρέας Μιλτιάδους, Saeid Sanei, Hamed Azami · 2024 · American Journal of Geriatric Psychiatry
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- Multi-Threshold Recurrence Rate Plot: A Novel Methodology for EEG Analysis in Alzheimer’s Disease and Frontotemporal Dementia
Huang Zheng, Xingliang Xiong, Xuejun Zhang · 2024 · Brain Sciences
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- Exploring new horizons in neuroscience disease detection through innovative visual signal analysis
Nisreen Said Amer, Samir Brahim Belhaouari · 2024 · Scientific Reports
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- Different oscillatory mechanisms of dementia-related diseases with cognitive impairment in closed-eye state
Talifu Zikereya, Yu‐Chen Lin, Zhizhen Zhang, Ignacio Taguas, Kaixuan Shi, Chuanliang Han · 2024 · NeuroImage
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- Enhanced EEG-based Alzheimer’s disease detection using synchrosqueezing transform and deep transfer learning
Shraddha Jain, Rajeev Srivastava · 2025 · Neuroscience
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- Alzhemimer’s Disease is Characterized by Lower Segregation in Resting-State Eyes-Closed EEG
Serap Aydın · 2024 · Journal of Medical and Biological Engineering
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- Classification for Alzheimer's disease and frontotemporal dementia via resting-state electroencephalography-based coherence and convolutional neural network
Rundong Jiang, Xiaowei Zheng, Jiamin Sun, Lei Chen, Guanghua Xu, Rui Zhang · 2025 · Cognitive Neurodynamics
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- Neural Network Entropy (NNetEn): Entropy-Based EEG Signal and Chaotic Time Series Classification, Python Package for NNetEn Calculation
Andrei Velichko, Maksim Belyaev, Yuriy Izotov, M. Murugappan, Hanif Heidari · 2023 · Algorithms
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- Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification
Yihe Wang, Nan Huang, Taida Li, Yujun Yan, Xiang Zhang · 2024 · arXiv (Cornell University)
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- Multi-Class Detection of Neurodegenerative Diseases from EEG Signals Using Lightweight LSTM Neural Networks
Laura Falaschetti, Giorgio Biagetti, Michele Alessandrini, Claudio Turchetti, Simona Luzzi, Paolo Crippa · 2024 · Sensors
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- EEG-based neurodegenerative disease diagnosis: comparative analysis of conventional methods and deep learning models
B R Nayana, M Pavithra, S Chaitra, T N Bhuvana Mohini, Thompson Stephan, Vijay Mohan, Neha Agarwal · 2025 · Scientific Reports
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- An optimized hybrid deep learning model to detect Alzheimer disease
A. Sundar Raj, C. Gunasundari, S. Senthilkumar, Selvaraju Sivamani · 2025 · Scientific Reports
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- Evaluating EEG complexity and spectral signatures in Alzheimer’s disease and frontotemporal dementia: evidence for rostrocaudal asymmetry
Kassra Ghassemkhani, Kevin S. Saroka, Blake T. Dotta · 2025 · npj Aging
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- An explainable and efficient deep learning framework for EEG-based diagnosis of Alzheimer's disease and frontotemporal dementia
Waqar Ali Khan, Muhammad Shahbaz Khan, Sultan Noman Qasem, Wad Ghaban, Faisal Saeed, Muhammad Fainan Hanif, Jawad Ahmad · 2025 · Frontiers in Medicine
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- EEG-FM-Bench: A Comprehensive Benchmark for the Systematic Evaluation and Diagnostic Analyses of EEG Foundation Models
Wei Xiong, Jiangtong Li, Jie Li, Kun Zhu, Changjun Jiang · 2025 · n/a
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- TasteNet: A novel deep learning approach for EEG-based basic taste perception recognition using CEEMDAN domain entropy features
Sagnik De, Prithwijit Mukherjee, Anisha Halder Roy · 2025 · Journal of Neuroscience Methods
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- LEAD: An EEG Foundation Model for Alzheimer's Disease Detection
Yihe Wang, Nan Huang, N. Mammone, Marco Cecchi, Xiang Zhang · 2025 · n/a
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- Quantitative Electroencephalography Markers for an Accurate Diagnosis of Frontotemporal Dementia: A Spectral Power Ratio Approach
Jinwon Chang, Chul Hoon Chang · 2023 · Medicina
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- Understanding the Role of Self-Attention in a Transformer Model for the Discrimination of SCD From MCI Using Resting-State EEG
Elena Sibilano, Domenico Buongiorno, Michael Lassi, Antonello Grippo, Valentina Bessi, Sandro Sorbi, Alberto Mazzoni, Vitoantonio Bevilacqua, Antonio Brunetti · 2024 · IEEE Journal of Biomedical and Health Informatics
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- Transformer-based EEG Decoding: A Survey
Haodong Zhang, Hongqi Li · 2025 · ArXiv
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- Unlocking the potential of EEG in Alzheimer's disease research: Current status and pathways to precision detection
Frnaz Akbar, Imran Taj, Syed Muhammad Usman, Ali Shariq Imran, Shehzad Khalid, Imran Ihsan, Ammara Ali, Amanullah Yasin · 2025 · Brain Research Bulletin
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- Electroencephalogram and Event-Related Potential in Mild Cognitive Impairment: Recent Developments in Signal Processing, Machine Learning, and Deep Learning
Hamed Azami, Mina Mirjalili, Tarek K. Rajji, Chien‐Te Wu, Anne Humeau‐Heurtier, Tzyy‐Ping Jung, Chun-Shu Wei, Thanh-Tung Trinh, Yi‐Hung Liu · 2025 · IEEE Journal of Selected Areas in Sensors
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- A Review of Neuro-ML Breakthroughs in Addressing Neurological Disorders
Cosmina-Mihaela Roșca, Adrian Stancu · 2025 · Applied Sciences
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- Diagnosis of Alzheimer’s Disease and Frontotemporal Dementia From Electroencephalography Signals
Dong-Geun Lee, Seung-Bo Lee · 2025 · IEEE Transactions on Neural Systems and Rehabilitation Engineering
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- Advanced EEG-Based Classification of Alzheimer's Disease Using CNN-LSTM-Attention Architecture
Chayut Bunterngchit, Thanaphon Chearanai, Yuthachai Bunterngchit · 2024 · n/a
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- A Complementary Dataset of Scalp EEG Recordings Featuring Participants with Alzheimer’s Disease, Frontotemporal Dementia, and Healthy Controls, Obtained from Photostimulation EEG
Aimilia Ntetska, Ανδρέας Μιλτιάδους, Markos G. Tsipouras, Katerina D. Tzimourta, Theodora Afrantou, Panagiotis Ioannidis, Dimitrios Tsalikakis, Konstantinos Sakkas, Emmanouil D. Oikonomou, Nikolaos Grigoriadis, Pantelis Angelidis, Νικόλαος Γιαννακέας, Alexandros T. Tzallas · 2025 · Data
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- Uni-NTFM: A Unified Foundation Model for EEG Signal Representation Learning
Zhisheng Chen, Yingwei Zhang, Qizhen Lan, Tianyu Liu, Huacan Wang, Yi Ding, Ziyu Jia, Ronghao Chen, Kun Wang, Xin-qiu Zhou · 2025 · ArXiv
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- Multimodal approaches and AI-driven innovations in dementia diagnosis: a systematic review
Revati M. Wahul, Sarita Ambadekar, Deepesh M. Dhanvijay, Mrinai M. Dhanvijay, Manisha A. Dudhedia, Varsha Gaikwad, Bhavana Kanawade, Jayshree R. Pansare, Balaji Bodkhe, S. H. Gawande · 2025 · Discover Artificial Intelligence
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- Deep learning techniques for automated Alzheimer's and mild cognitive impairment disease using EEG signals: A comprehensive review of the last decade (2013 - 2024)
Madhav R. Acharya, Ravinesh C. Deo, Xiaohui Tao, Prabal Datta Barua, Aruna Devi, Anirudh Atmakuru, Ru‐San Tan · 2024 · Computer Methods and Programs in Biomedicine
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- Resting-state EEG microstate features for Alzheimer’s disease classification
Xiaoli Yang, Zhipeng Fan, Zhenwei Li, Jiayi Zhou · 2024 · PLoS ONE
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- EEG Data Analysis Techniques for Precision Removal and Enhanced Alzheimer’s Diagnosis: Focusing on Fuzzy and Intuitionistic Fuzzy Logic Techniques
Mario Versaci, Fabio La Foresta · 2024 · Signals
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- A Multimodal Multi-Stage Deep Learning Model for the Diagnosis of Alzheimer’s Disease Using EEG Measurements
Vo Minh Tuan, Ali K. Ibrahim, Hanqi Zhuang · 2025 · Neurology International
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- Detecting Alzheimer Disease in EEG Data with Machine Learning and the Graph Discrete Fourier Transform
Xavier Mootoo, Alice Fours, Chinthaka Dinesh, Mohammad Ashkani, Adam Kiss, Mateusz Faltyn · 2023 · medRxiv
Cites dataset 9 citations
- Diagnosis of Alzheimer's disease using non-linear features of ERP signals through a hybrid attention-based CNN-LSTM model
Elias Mazrooei Rad, Sayyed Majid Mazinani, Seyyed Ali Zendehbad · 2025 · Computer Methods and Programs in Biomedicine Update
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- xEEGNet: towards explainable AI in EEG dementia classification
Andrea Zanola, Louis Fabrice Tshimanga, Federico Del Pup, Marco Baiesi, Manfredo Atzori · 2025 · Journal of Neural Engineering
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- Translational approach for dementia subtype classification using convolutional neural network based on EEG connectome dynamics
Thawirasm Jungrungrueang, Sawrawit Chairat, Kasidach Rasitanon, Praopim Limsakul, Krit Charupanit · 2025 · Scientific Reports
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- EEG features associated with Alzheimer’s disease and Frontotemporal dementia are not reflected by processed indices used in anesthesia monitoring
Stefan Schwerin, Srdjan Dragovic, Julian Ostertag, Duy-Minh Nguyen, Gerhard Schneider, Matthias Kreuzer · 2025 · Journal of Clinical Monitoring and Computing
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- Deep learning-based classification of dementia using image representation of subcortical signals
Shivani Ranjan, Ayush Tripathi, Harshal Shende, Robin Badal, Amit Kumar, Pramod Kumar Yadav, Deepak Joshi, Lalan Kumar · 2025 · BMC Medical Informatics and Decision Making
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- Recent Advancements in Neuroimaging‐Based Alzheimer's Disease Prediction Using Deep Learning Approaches in e‐Health: A Systematic Review
Z. U. Rehman, Mohd., Khalid Awang, Ghulam Ali, Muhammad Faheem · 2025 · Health Science Reports
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- Adaptive spatiotemporal encoding network for cognitive assessment using resting state EEG
Jingnan Sun, Anruo Shen, Yike Sun, Xiaogang Chen, Yunxia Li, Xiaorong Gao, Bai Lu · 2024 · npj Digital Medicine
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- A dual path graph neural network framework for dementia diagnosis
Denghui Zhang, Chenxuan Zhu · 2025 · Scientific Reports
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- Low Dimensional EEG Classification for Alzheimer’s Disease Recognition
Marko Nedeljković, Pavle Pađin, Strahinja Nikolić · 2023 · n/a
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- Transparent EEG Analysis: Leveraging Autoencoders, Bi-LSTMs, and SHAP for Improved Neurodegenerative Diseases Detection
Badr Mouazen, Ahmed Bendaouia, Omaima Bellakhdar, Khaoula Laghdaf, Aya Ennair, El Hassan Abdelwahed, Giovanni de Marco · 2025 · Sensors
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- Virtual Electroencephalogram Acquisition: A Review on Electroencephalogram Generative Methods
Zhishui You, Yuzhu Guo, Xiulei Zhang, Yifan Zhao · 2025 · Sensors
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Anshu Devi, M. Madhavi Latha · 2025 · Expert Systems with Applications
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- Analysis of the alpha activity envelope in electroencephalography in relation to the ratio of excitatory to inhibitory neural activity
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- Augmenting brain-computer interfaces with ART: An artifact removal transformer for reconstructing multichannel EEG signals
Chun‐Hsiang Chuang, Kong-Yi Chang, Chih-Sheng Huang, Anne-Mei Bessas · 2025 · NeuroImage
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- Simplicial Homology Global Optimization of EEG Signal Extraction for Emotion Recognition
Ahmed Roshdy, Samer Al Kork, Taha Beyrouthy, Amine Naït‐Ali · 2023 · Robotics
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- Analyzing electroencephalograph signals for early Alzheimer’s disease detection: deep learning vs. traditional machine learning approaches
Sachin M. Elgandelwar, Vinayak K. Bairagi, Shridevi S. Vasekar, Aziz Nanthaamornphong, Priyanka Tupe-Waghmare · 2024 · International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering
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- Exploring Integration of Multimodal Deep Learning Approaches for Enhanced Alzheimer's Disease Diagnosis: A Review of Recent Literature
Sonali Deshpande, Nilima Kulkarni · 2024 · SN Computer Science
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Md. Nurul Ahad Tawhid, Siuly Siuly, Enamul Kabir, Yan Li · 2025 · Brain Informatics
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- BIDSAlign: a library for automatic merging and preprocessing of multiple EEG repositories
Andrea Zanola, Federico Del Pup, Camillo Porcaro, Manfredo Atzori · 2024 · Journal of Neural Engineering
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- Leveraging SVD Entropy and Explainable Machine Learning for Alzheimer's and Frontotemporal Dementia Detection using EEG
Utkarsh Lal, Arjun Vinayak Chikkankod, Luca Longo · 2023 · n/a
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- Empirical Validation of the Consciousness Potential Framework: Developmental Trajectories in Cultured Cortical Networks and Clinical Group Differences in Dementia
Spencer Howie · 2026 · Zenodo (CERN European Organization for Nuclear Research)
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- N-BodyPat: Investigation on the dementia and Alzheimer's disorder detection using EEG signals
Prabal Datta Barua, Türker Tuncer, Mehmet Bayğın, Şengül Doğan, U. Rajendra Acharya · 2024 · Knowledge-Based Systems
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- EEG foundation models: a critical review of current progress and future directions
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- EEG biomarkers for Alzheimer's disease: A novel automated pipeline for detecting and monitoring disease progression
Leif Simmatis, Emma E. Russo, Tayo Steininger, Haleigh Riddell, Evelyn Chen, Queenny Chiu, Michelle Lin, Donghun Oh, Porsha Taheri, Irene E. Harmsen, Nardin Samuel · 2025 · Journal of Alzheimer s Disease
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- Beyond Frequency Bands: Complementary-Ensemble-Empirical-Mode-Decomposition-Enhanced Microstate Sequence Non-Randomness Analysis for Aiding Diagnosis and Cognitive Prediction of Dementia
Wang Wan, Zhongze Gu, Chung‐Kang Peng, Xingran Cui · 2024 · Brain Sciences
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Yujian Liu, L. An, Haiqiang Yang, Shuzhi Sam Ge · 2025 · Complex & Intelligent Systems
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- Harnessing Creative Methods for EEG Feature Extraction and Modeling in Neurological Disorder Diagnoses
Avish Jha, Nevin Kuruvilla, Pramika Garg, Akila Victor · 2023 · n/a
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Shraddha Jain, Rajeev Srivastava · 2025 · Iran Journal of Computer Science
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- Resting-State EEG Reveals Regional Brain Activity Correlates in Alzheimer’s and Frontotemporal Dementia
Ali Azargoonjahromi, Hamide Nasiri, Fatemeh Abutalebian · 2024 · medRxiv
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- Olfactory EEG based Alzheimer disease classification through transformer based feature fusion with tunable Q-factor wavelet coefficient mapping
Berke Cansız, Hamza Osman İlhan, Nizamettin Aydın, Görkem Serbes · 2025 · Frontiers in Neuroscience
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- Early Diagnosis of Alzheimer’s Disease in Human Participants Using EEGConformer and Attention-Based LSTM During the Short Question Task
Seul Kee Kim, Seul Kee Kim, Jung Bin Kim, Hayom Kim, Laehyun Kim, Sang Hee Kim, Sang Hee Kim · 2025 · Diagnostics
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- Improved Neural Network-Based System for Early and Accurate Diagnosis of Alzheimer Disease
Spogmay Yousafzai, Gul Zaman Khan, Sajad Ulhaq, Areebah, Muhammad Rabbi Butt · 2023 · Journal of Computer Science and Technology Studies
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- An Ensemble Method for EEG-based Texture Discrimination during Open Eyes Active Touch
Ανδρέας Μιλτιάδους, Vasileios Aspiotis, Dimitrios Peschos, Katerina D. Tzimourta, Al Husein Sami Abosaleh, Νικόλαος Γιαννακέας, Alexandros T. Tzallas · 2024 · Engineering Technology & Applied Science Research
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- The effect of aperiodic components in distinguishing Alzheimer's disease from frontotemporal dementia
Zhuyong Wang, Anyang Liu, Jianshen Yu, Pengfei Wang, Yue-Wei Bi, Sha Xue, Jiajun Zhang, Hongbo Guo, Wangming Zhang · 2023 · Research Square
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- Standardizing Number of EEG Sensors for AI-Driven Dementia Detection
Quoc-Toan Nguyen · 2025 · IEEE Sensors Letters
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- Privacy–preserving dementia classification from EEG via hybrid–fusion EEGNetv4 and federated learning
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- Characterizing resting-state EEG oscillatory and aperiodic activity in neurodegenerative diseases: A multicentric study
Alberto Jaramillo-Jiménez, Yorguin-José Mantilla-Ramos, Diego Tovar, Francisco Lopera, David Aguillón, John Fredy Ochoa-Gómez, Claire Paquet, Sinead Gaubert, Matteo Pardini, Dario Arnaldi, John‐Paul Taylor, Tormod Fladby, Kolbjørn Brønnick, Dag Aarsland, Laura Bonanni · 2025 · Computers in Biology and Medicine
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Sungwoo Ahn, Evie Malaia, Leonid L. Rubchinsky · 2025 · Clinical Neurophysiology
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- Investigating Brain Lobe Biomarkers to Enhance Dementia Detection Using EEG Data
Siuly Siuly, Md. Nurul Ahad Tawhid, Yan Li, U. Rajendra Acharya, Muhammad Tariq Sadiq, Hua Wang · 2025 · Cognitive Computation
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Xiangdong He, Zhou Jiang, Xiaodong Wu, Hanmin Liu, Hua Luo · 2025 · Biomedical Signal Processing and Control
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Chayut Bunterngchit, Laith H. Baniata, Abdur Rasool · 2025 · 2025 IEEE 25th International Conference on Bioinformatics and Bioengineering (BIBE)
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- CONECT: Novel Weighted Networks Framework Leveraging Angle-Relation Connection (ARC) and Metaheuristic Algorithms for EEG-Based Dementia Classification
Akashdeep Singh, Supriya Supriya, Siuly Siuly, Hua Wang · 2025 · Sensors
Cites dataset 4 citations
- Developing an SSVEP-Based BCI System for Multi-Objective Control via IoT Integration
Jinsha Liu, Boning Li, Takaharu Yamazaki, Jianting Cao · 2024 · IEEE Access
Cites data paper 4 citations
- TransformEEG: Towards improving model generalizability in deep learning-based EEG Parkinson’s disease detection
Federico Del Pup, Riccardo Brun, Filippo Iotti, Edoardo Paccagnella, Mattia Pezzato, Sabrina Bertozzo, Andrea Zanola, Louis Fabrice Tshimanga, Henning Müller, Manfredo Atzori · 2025 · Neurocomputing
Cites data paper 4 citations
- Enhancing Alzheimer’s Diagnosis with Machine Learning on EEG: A Spectral Feature-Based Comparative Analysis
Yeliz ŞENKAYA, Çetin Kurnaz, Ferdi Özbilgin · 2025 · Diagnostics
Cites dataset 4 citations
- Multi-Scale Adaptive Graph Learning Based on Multi-Wave EEG Data for Dementia Diagnosis
Jiaxin Wei, Bin Jiao, Hanhe Lin, Xu Tian, Lu Shen, Jin Liu · 2025 · Big Data Mining and Analytics
Cites dataset 4 citations
- Brain functional connectivity analysis of fMRI-based Alzheimer's disease data
Maitha Alarjani, Badar Almarri · 2025 · Frontiers in Medicine
Cites dataset 4 citations
- Connectogram-COH: A Coherence-Based Time-Graph Representation for EEG-Based Alzheimer’s Disease Detection
Ehssan Aljanabi, İlker Türker · 2025 · Diagnostics
Cites dataset 3 citations
- Enhanced Alzheimer’s detection with EEG source imaging and multi-branch joint attention
Yuming Sun, Lufeng Feng, Baomin Xu, Shifan Jia, Duan Li, Wei Ni, Ziyu Jia · 2025 · Journal of Neural Engineering
Cites data paper 3 citations
- A novel contrastive Dual-Branch Network (CDB-Net) for robust EEG-Based Alzheimer’s disease diagnosis
Zakaria Alouani, Oussama El Gannour, Shawki Saleh, Abdeljalil El-Ibrahimi, Othmane Daanouni, Bouchaib Cherradi, Omar Bouattane · 2025 · Brain Research
Cites data paper 3 citations
- HAMD-Net: A biologically informed hybrid attention model for EEG classification of multiple neurological disorders
Saba Aslam, Musarat Hussain, Xiaoli Li, Huijun Li, Hongyan Wu · 2026 · Biomedical Signal Processing and Control
Cites data paper 3 citations
- Multi-Query Cross-Modal Attention Fusion for Cognitive Impairment Recognition
Minghui Zhao, Hongxiang Gao, Xinzhao Qi, Haiyan Yin, Yulei Song, Yamei Bai, Jianqing Li, Lulu Zhao, Chengyu Liu · 2025 · IEEE Transactions on Neural Systems and Rehabilitation Engineering
Cites data paper 3 citations
- EEG-Based Brain–Computer Interface: Fundamentals, Methods, Applications, and Challenges
Weitao Luo, Mohammed A. A. Al‐qaness, Yangfan Li, Jianguo Shen, Keqin Li · 2025 · IEEE Internet of Things Journal
Cites data paper 3 citations
- EEG-based classification of alzheimer’s disease and frontotemporal dementia using functional connectivity
Tjaša Mlinarič, Arne Van Den Kerchove, Zoe I. Barinaga, Marc M. Van Hulle · 2026 · Scientific Reports
Cites dataset 3 citations
- Electroencephalographic biomarker-guided early detection of Alzheimer’s disease via cortically subdivided neurodynamic PINN
Zhengliang Zhang, Yachen Wei, Xin Rao, Liyang Yu, Wen Sun, Ruixue Li, Xiaoshuai Zhang, Xiaodong Chen, Xingru Huang, Xingru Huang · 2025 · Expert Systems with Applications
Cites data paper 3 citations
- A Separable Bi-Pyramidal Feature Attention Network to Detect Alzheimer’s Using Electroencephalographic Signals
Sandesh Kalambe, Mohan Karnati, Ayan Seal, Marek Penhaker, Ondřej Krejcar · 2025 · IEEE Transactions on Instrumentation and Measurement
Cites data paper 3 citations
- Classifying Alzheimer’s Disease and Dementia Patients Using Non-invasive EEG Biomarkers
Wali Hassan, Sheraz Khan, Abbas Sohrabpour · 2024 · medRxiv
Cites dataset 3 citations
- A Unified Framework for Alzheimer’s Disease Knowledge Graphs: Architectures, Principles, and Clinical Translation
Jovana Dobreva, Monika Simjanoska, Kostadin Mishev, Dimitar Trajanov, Igor Mishkovski · 2025 · Brain Sciences
Cites data paper 3 citations
- MGFormer: A lightweight multi-granular transformer for subject-independent Alzheimer’s classification
Raiyan Rahman, Abul Kalam Al Azad, Sifat Momen · 2025 · Biomedical Signal Processing and Control
Cites data paper 3 citations
- Alzheimer's disease classification from EEG using a multiscale temporal deep network
Simone Zini, Thomas Barbera, Simone Bianco, Paolo Napoletano · 2026 · Biomed. Signal Process. Control.
Cites data paper 3 citations
- Decentralized Attention Fails Centralized Signals: Rethinking Transformers for Medical Time Series
Guo Yu, Juncheng Wang, Chen Yang, Jing Qin, Angelica I. Avilés-Rivero, Shujun Wang · 2026 · ArXiv
Cites data paper 3 citations
- CNN-based framework for Alzheimer's disease detection from EEG via dynamic mode decomposition
Jacob Kang, Hunseok Kang, Jonghyun Seo · 2025 · Frontiers in Neuroinformatics
Cites data paper 3 citations
- EEG Microstate Differences Between Alzheimer’s Disease, Frontotemporal Dementia, and Healthy Controls Using 4 and 7 Clustering Classes with a Ratio Approach
Jinwon Chang · 2025 · Medicina
Cites data paper 3 citations
- Electroencephalography microstates as biomarkers for screening Alzheimer's disease: Feasibility analysis and a machine learning classification scheme
Huiqing Hou, Jiang Yu, Shencai Hao, Xirui Zhang, Dawei Zang · 2025 · Journal of Alzheimer's Disease
Cites data paper 3 citations
- Transformers-Based Deep Learning for Parkinson’s Disease Detection Using Electroencephalography and Stockwell Transform
Melina Maria Afonso, Damodar Reddy Edla, Dharavath Ramesh · 2025 · Procedia Computer Science
Cites data paper 3 citations
- EEG Signal-Based Machine Learning Approaches for Alzheimer's Disease: A Review of Methodological Analysis
Mohammad R. Khosravi, Hossein Parsaei, Mohammed Alghanim, Khosro Rezaee · 2023 · n/a
Cites data paper 3 citations
- Deep Learning and Machine Learning Architectures for Dementia Detection from Speech in Women
Ahlem Walha, Manel Ayadi, Tagrid Abdullah N. Alshalali, Oumaima Saidani, Leila Jamel, Nouf Abdullah Almujally, Amel Ksibi, Mohammed Zakariah · 2025 · Computer Modeling in Engineering & Sciences
Cites data paper 3 citations
- BioMamba: Leveraging Spectro-Temporal Embedding in Bidirectional Mamba for Enhanced Biosignal Classification
Jianghao Qian, Teck Lun Goh, Bin Xie, Chengyao Zhu, Biao Wan, Yawen Guan, Rachel Ding Chen, P. Chiang · 2025 · ArXiv
Cites data paper 3 citations
- Alzheimer’s diagnosis from EEG with reliable probabilities: subject-wise, leakage-free evaluation and isotonic calibration
Hamed Shamsi · 2025 · Journal of Engineering and Applied Science
Cites dataset 3 citations
- Quantitative Electroencephalography Markers for Accurate Diagnosis of Frontotemporal Dementia: A Spectral Power Ratio Approach
Jinwon Chang, Chul Hoon Chang · 2023 · Preprints.org
Cites dataset 3 citations
- EEG signal analysis for the classification of Alzheimer’s and frontotemporal dementia: a novel approach using artificial neural networks and cross-entropy techniques
Fatma Lati̇foğlu, Fırat Orhanbulucu, M. Murugappan, Sümeyye Nur Gürbüz, Burçin Çayır, Fatma Avcı · 2025 · International Journal of Neuroscience
Cites data paper 2 citations
- A microservices architecture for processing large electroencephalogram studies
Bathsheba Farrow, Soo-Yeon Ji, Sampath Jayarathna · 2025 · International Journal of Computers and Applications
Cites data paper 2 citations
- Graph Spectral Analysis Using Electroencephalography in Alzheimer Disease and Frontotemporal Dementia Patients
María Paula Bonomini, Eduardo Ghiglioni, Noelia B. Rios · 2025 · International Journal of Neural Systems
Cites data paper 2 citations
- Brain dysfunction assessment in Alzheimer's disease: A phase-space projection and interactive signal decomposition framework
Wanus Srimaharaj · 2026 · Computers in Biology and Medicine
Cites data paper 2 citations
- Deep Learning-based Prediction of Alertness and Drowsiness using EEG Signals
Cong Thuan, Anh Nam Le, Văn Đức Nguyễn, Trinh Van Chien · 2023 · n/a
Cites data paper 2 citations
- A Novel EEG-Based Deep Approach for Diagnosing Alzheimer's Disease Using Attention-Time-Aware LSTM
Mohammad R. Khosravi, Hossein Parsaei, Mohammed Alghanim, Khosro Rezaee · 2023 · n/a
Cites data paper 2 citations
- Towards Feasible Deep Learning Approach Using EEG for Neurodegenerative Diseases
Dogeun Park, Ho-Jung Kim, Young-Gi Ju, Keun-Tae Kim, Dong-Ok Wont · 2025 · 2025 13th International Conference on Brain-Computer Interface (BCI)
Cites data paper 2 citations
- Muti-band Morlet mutual information functional connectivity for classifying Alzheimer's disease and frontotemporal dementia with a deep learning technique
Mingkan Shen, Peng Wen, Bo Song, Yan Li · 2025 · Computers in Biology and Medicine
Cites data paper 2 citations
- ViTBayesianNet: An adaptive deep bayesian network-aided alzheimer disease detection framework with vision transformer-based residual densenet for feature extraction using MRI images
Revathi Mohan, Rajesh Arunachalam, Neha Verma, Shital Mali · 2024 · Network Computation in Neural Systems
Cites data paper 2 citations
- ERABiLNet: enhanced residual attention with bidirectional long short-term memory
Koteeswaran Seerangan, Malarvizhi Nandagopal, Resmi R Nair, Sakthivel Periyasamy, Rutvij H. Jhaveri, Balamurugan Balusamy, Shitharth Selvarajan · 2024 · Scientific Reports
Cites data paper 2 citations
- NeuroFusionNet: a hybrid EEG feature fusion framework for accurate and explainable Alzheimer’s Disease detection
Frnaz Akbar, Yazeed Alkhrijah, Syed Muhammad Usman, Shehzad Khalid, Imran Ihsan, Mohamad A. Alawad · 2025 · Scientific Reports
Cites dataset 2 citations
- Detecting and Diagnosing Alzheimer's Disease: A Transformer-Based Survey (DAD-T)
Prabu Selvam, C. Gunasundari, M. Tamilselvi, Pinjari Haneef, T. Suresh, R. Jini · 2024 · n/a
Cites data paper 2 citations
- RepBoTNet-CESA: An Alzheimer’s Disease Computer Aided Diagnosis Method Using Structural Reparameterization BoTNet and Cubic Embedding Self Attention
Xiabin Zhang, Zhongyi Hu, Lei Xiao, Hui Huang · 2024 · Computers, materials & continua/Computers, materials & continua (Print)
Cites data paper 2 citations
- Extraction and interpretation of EEG features for diagnosis and severity prediction of Alzheimer's Disease and Frontotemporal dementia using deep learning
Tuan Vo, Ali K. Ibrahim, Hanqi Zhuang, Chiron Bang · 2026 · Biomed. Signal Process. Control.
Cites data paper 2 citations
- Variational Mixture of Graph Neural Experts for Alzheimer's Disease Biomarker Recognition in EEG Brain Networks
Jun-En Ding, Anna Zilverstand, Shihao Yang, Albert Chih-Chieh Yang, Feng Liu · 2025 · ArXiv
Cites data paper 2 citations
- Multivariate time series approach integrating cross-temporal and cross-channel attention for dysarthria detection from speech
Zhenglin Zhang, Tengfei Wang, Zian Hu, Lizhuang Yang, Hai Li · 2025 · Neurocomputing
Cites data paper 2 citations
- CiTrus: Squeezing Extra Performance out of Low-data Bio-signal Transfer Learning
E. Geenjaar, Lie Lu · 2024 · ArXiv
Cites data paper 2 citations
- EEG classification for neurological disorders using frequency band deciles
Jonah Fernandez, Bianca Innocenti, Beatriz López · 2025 · Scientific Reports
Cites dataset 2 citations
- Electroencephalogram features support the retrogenesis hypothesis of Alzheimer's disease: Exploratory comparison of brain changes in aging and childhood
João Areias Saraiva, Martin Becker, Martin Dyrba, Burcu Bölükbaş, Enrico Michele Salamone, Claudio Babiloni, Michael Kölch, Harald Hampel, Stefan Teipel, Thomas Kirste, Christoph Berger · 2025 · Journal of Alzheimer s Disease
Cites dataset 2 citations
- A multi-graph convolutional network method for Alzheimer’s disease diagnosis based on multi-frequency EEG data with dual-mode connectivity
Qingjie Xu, L. An, Haiqiang Yang, Keum‐Shik Hong · 2025 · Frontiers in Neuroscience
Cites dataset 2 citations
- Leveraging SVD Entropy and Explainable Machine Learning for Alzheimer's and Frontotemporal Dementia Detection using EEG
Utkarsh Lal, Arjun Vinayak Chikkankod, Luca Longo · 2023 · n/a
Cites dataset 2 citations
- Enhancing dementia diagnosis with Dual-Swarm optimisation and Opposition-Based learning: the DSO-OBL approach
D. Kavitha, A. Murugan · 2025 · Journal of Experimental & Theoretical Artificial Intelligence
Cites data paper 1 citations
- A Study of EEG Signal Classification for Alzheimer's Disease Based on Feature-Fused Two-Branch Parallel Networks
Ruofan Wang, Haojie Xu, Donghui Yi, Changzhi Song · 2025 · n/a
Cites data paper 1 citations
- Deep Learning Approaches in EEG Analysis for Early Detection of Alzheimer’s Disease and Mild Cognitive Impairment: A Mini Systematic Review
Tahoura Morovati, Hamed Vaezi, Sepehr Karimi, Mufti Mahmud, Mark Crook‐Rumsey, Nadja Heym, David J. Brown, Alexander Sumich · 2025 · Communications in computer and information science
Cites data paper 1 citations
- Neurophysiological biomarker extraction through decoupled attention mechanisms and EEG signal processing in Alzheimer’s disease and frontotemporal dementia
Alaa Hussein Abdulaal, Morteza Valizadeh, Mehdi Chehel Amirani · 2026 · Biomedical Signal Processing and Control
Cites data paper 1 citations
- Explainable Orthogonal Attention Networks for EEG-based Analysis: Leveraging Disentangled Representations to Enhance Diagnosis
Ailar Mahdizadeh, Puria Azadi Moghadam, Shahriar Mirabbasi, Panos Nasiopoulos · 2025 · ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Cites data paper 1 citations
- Memory Training in Dementia: A VR-BCI Prototype with N-Back and Brainwave Analysis
Sorawich Angthong, Thanate Angsuwatanakul, Ekkapon Phairot, Meena Bunyasuwan, Jedsada Khieukhajee, Thapanee Khemanuwong · 2025 · 2025 17th Biomedical Engineering International Conference (BMEiCON)
Cites data paper 1 citations
- Ranking the Importance of Spatiotemporal Windows of EEG Signals Results in a Better Alzheimer’s Disease Prediction
Ronen Taub, Yonatan Savir · 2024 · n/a
Cites data paper 1 citations
- Classification of Raw MEG/EEG Data with Detach-Rocket Ensemble: An Improved ROCKET Algorithm for Multivariate Time Series Analysis
Adrià Solana, Erik Fransén, Gonzalo Uribarri · 2024 · Lecture notes in computer science
Cites data paper 1 citations
- Detection of Alzheimer's Disease and Frontotemporal Dementia: An Explainable Machine Learning Approach Using EEG Signals
Hwa-Yeon Lee, Minkyung Jung, Choel-Hui Lee, Hakseung Kim, Dong‐Joo Kim · 2025 · 2025 13th International Conference on Brain-Computer Interface (BCI)
Cites data paper 1 citations
- MamKanformer: A hybrid Mamba and KAN model based on Medformer for Medical Time-Series Classification
Zhizun Zeng, Qiuyuan Gan, Zhengkang ZUO Lei YAN, Wei Zhang · 2024 · 2024 5th International Conference on Computers and Artificial Intelligence Technology (CAIT)
Cites data paper 1 citations
- RETRACTED ARTICLE: A novel approach integrating topological deep learning from EEG Data in Alzheimer’s disease
Miriam Esteve, Alejandro Martinez-Gracia, J. J. Rodríguez-Sala, Jorge R. Brotons‐Mas, Antonio Falcó · 2025 · Scientific Reports
Cites dataset 1 citations
- AI-driven framework for accurate detection of Alzheimer’s disease in EEG
B. Hemalatha, K. Venkatachalam, Siuly Siuly, Jaehyuk Cho · 2026 · Scientific Reports
Cites dataset 1 citations
- Integrating attractor dynamics and connectivity features for EEG-based dementia classification
Sepideh Zolfaghari, Elnaz Gholizadeh, Farnaz Garehdaghi · 2026 · Scientific Reports
Cites dataset 1 citations
- Sink-index: a network-based EEG marker for frontotemporal dementia and Alzheimer’s disease
Luis A. Sánchez, Surya Pandiaraju, Autumn O Williams, Amir Hossein Daraie, Chiadi U. Onyike, Sridevi V. Sarma · 2025 · Brain Communications
Cites dataset 1 citations
- Stochastic Graph Heat Modelling for Diffusion-based Connectivity Retrieval
Stephan Goerttler, Fei He, Min Wu · 2024 · n/a
Cites dataset 1 citations
- Balancing Spectral, Temporal and Spatial Information for EEG-based Alzheimer’s Disease Classification
Stephan Goerttler, Fei He, Min Wu · 2024 · n/a
Cites dataset 1 citations
- Transforming Brainwaves into Language: EEG Microstates Meet Text Embedding Models for Dementia Detection
Quoc-Toan Nguyen, Linh Le, Xuan-The Tran, Dorothy Bai, Nghia Duong‐Trung, Thomas Do, Chin‐Teng Lin · 2025 · n/a
Cites dataset 1 citations
- The Vibrational Signature of Alzheimer’s Disease: A Computational Approach Based on Sonification, Laser Projection, and Computer Vision Analysis
Rubén Pérez-Elvira, Javier Oltra‐Cucarella, Mo Juan, Luis Polo-Ferrero, Raúl Juárez‐Vela, Jorge Bosch‐Bayard, Manuel Quintana‐Díaz, Jorge De La Cruz, Alfonso Salgado Ruíz · 2025 · Biomimetics
Cites dataset 1 citations
- Multiclass Differentiation of Dementia Subtypes Based on Low-Density EEG Biomarkers: Towards Wearable Brain Health Monitoring
Anneliese Walsh, Shanker Shreejith, Alejandro López Valdés · 2025 · Journal of dementia and Alzheimer's disease
Cites dataset 1 citations
- Leveraging SVD Entropy and Explainable Machine Learning for Alzheimer’s and Frontotemporal Dementia Detection using EEG
Utkarsh Lal, Arjun Vinayak Chikkankod, Luca Longo · 2023 · n/a
Cites dataset 1 citations
- What Causes Performance Degradation in Cross-Subject EEG Classification?
Yihe Wang, Taida Li, Yujun Yan, Wen‐Zhan Song, X. D. Zhang · 2024 · arXiv (Cornell University)
Cites dataset 1 citations
- LEAD: An EEG Foundation Model for Alzheimer's Disease Detection
Yihe Wang, Nan Huang, Nadia Mammone, Marco Cecchi, Xiang Zhang · 2025 · arXiv (Cornell University)
Cites dataset 1 citations
- EEG Feature Extraction for Neurodegenerative Disease Diagnosis: A Review
Dong-Geun Lee, Seung-Bo Lee · 2025 · Digital Health Research
Cites dataset 1 citations
- A Quantitative Comparison of Two Methods for Higher-Order EEG Microstate Syntax Analysis
Frederic von Wegner, Gesine Hermann, Inken Toedt, Inga Karin Todtenhaupt, Helmut Laufs · 2025 · Brain Topography
Cites dataset
- Quantitative EEG signatures of power and functional connectivity alterations in Alzheimer’s disease and frontotemporal dementia
Shahid Iqbal, H. Nisar, Kim Ho Yeap · 2026 · Scientific Reports
Cites dataset
- A deep-SVM hybrid framework with enhanced EEG feature engineering and SHAP-based explainability for Alzheimer’s classification
Frnaz Akbar, Yazeed Alkhrijah, Syed Muhammad Usman, Shehzad Khalid, Imran Ihsan, Mohamad A. Alawad · 2026 · Scientific Reports
Cites dataset
- Explainable EEG-based machine learning for early diagnosis of Alzheimer’s disease and frontotemporal dementia
Fahman Saeed, Sultan Aldera · 2026 · Scientific Reports
Cites dataset
- EEG-based Machine and Deep Learning Approaches for Alzheimer’s and Frontotemporal Dementia: A Systematic Review of the OpenNeuro ds004504 Dataset
Mahdoubi Youness, Zrira Nabila, Aaibid Hind, Elafi Issam, Ngote Nabil, Benmiloud Ibtissam · 2026 · n/a
Cites dataset
- SpectroXAI: Quantitative Explainability Consistency for EEG-Based Spectrogram Imaging in Alzheimer's Disease Classification
Sukhpal Singh, Husanbir Singh Pannu, Poonam Saini · 2026 · n/a
Cites dataset
- Hybrid Neural Network and Neuro-Fuzzy Model for Early Detection of Alzheimer’s and Parkinson’s Diseases Using EEG
S. H. Kasthuriarchchi, H.U.W. Rathnayake, A. K. A. B. Baminiwatta · 2025 · n/a
Cites dataset
- Aperiodic Correction of Posterior Theta/Alpha Ratio Reduces Arousal-State Dependency in Routine EEG-Based Dementia Screening
Dokyung Lee · 2026 · Clinical EEG and Neuroscience
Cites dataset
- Evaluating brain electroencephalogram signal dynamics across cognitive disorders using information geometry
Heng Jie Choong, Eun‐jin Kim, Fei He · 2025 · PLOS complex systems.
Cites dataset
- Covariance Matrices and Case-Based Reasoning Synergy for Interpretable EEG Classification in Neurological Disorders
Jonah Fernandez, Bianca Innocenti, Beatriz López · 2024 · Research Square
Cites dataset
- EEG-Based Alzheimer's Detection Using Power Spectral Density, Tsallis Entropy, Amplitude Features, and SVM Classification
Ayat Cisse, Zineb Farahat, Nabila Zrira, Ibtissam Benmiloud, Bahia El Abdi, Nabil Ngote · 2024 · Research Square
Cites dataset
- EEG Classification for Neurological Disorders Using Frequency Band Deciles
Jonah Fernandez, Bianca Innocenti, Beatriz López · 2025 · Research Square
Cites dataset
- A Multi-Scale View of Alzheimer’s Disease: Linking Cellular Dysfunction to Brain Activity
Sahaana Vasudevan · 2026 · Research Square
Cites dataset
- MontageFL: Privacy-Preserving Federated Learning across Heterogeneous EEG Montages A Leakage-Free Benchmark on Alzheimer’s Disease Classification
Bahaa Masry, Anas Shahin, George Karraz · 2026 · Research Square
Cites dataset
- "ds004504"
Andreas Miltiadous · 2026 · IEEE DataPort
Cites dataset
- Cross-Modal Alignment and Rectified Flow-Based Latent Representation Synthesis for Enhanced Speech-Driven Alzheimer’s Disease Detection
Shu Xiang, Haobo Ling, Meihong WU · 2026 · Bioengineering
Cites dataset
- Auditory Discrimination of Parametrically Sonified EEG Signals in Alzheimer’s Disease
Rubén Pérez-Elvira, Javier Oltra-Cucarella, Mo Juan, Luis Polo-Ferrero, Raúl Juárez-Vela, Jorge Bosch‐Bayard, Manuel Quintana Díaz, Bogdan Neamţu, Alfonso Salgado Ruíz · 2025 · Journal of Clinical Medicine
Cites dataset
- Symmetry in Genetic Distance Metrics: Quantifying Variability in Neurological Disorders for Personalized Treatment of Alzheimer’s and Dementia
Jorge A. Ruíz-Vanoye, Ocotlán Díaz-Parra, Marco Antonio Márquez-Vera, Ricardo A. Barrera-Cámara, Alejandro Fuentes-Penna, Eric Simancas-Acevedo, Miguel Á. Ruiz-Jaimes, Juan M. Xicoténcatl-Pérez, Julio C. Ramos-Fernández · 2025 · Symmetry
Cites dataset
- Classification of Neurodegenerative Diseases Using Machine Learning: An Approach Focused on Alzheimer's and Frontotemporal Dementia
Mert Basancelebi, Ali Narin, İrem Şenyer Yapıcı · 2026 · GAZI UNIVERSITY JOURNAL OF SCIENCE
Cites dataset
- Stochastic Graph Heat Modelling for Diffusion-based Connectivity Retrieval
Stephan Goerttler, Fei He, Min Wu · 2024 · arXiv (Cornell University)
Cites dataset
- Balancing Spectral, Temporal and Spatial Information for EEG-based Alzheimer's Disease Classification
Stephan Goerttler, Fei He, Min Wu · 2024 · arXiv (Cornell University)
Cites dataset
- The more, the better? Evaluating the role of EEG preprocessing for deep learning applications
Federico Del Pup, Andrea Zanola, Louis Fabrice Tshimanga, Alessandra Bertoldo, Manfredo Atzori · 2024 · arXiv (Cornell University)
Cites dataset
- Motif Discovery Framework for Psychiatric EEG Data Classification
Melanija Kraljevska, Kateřina Hlaváčková‐Schindler, Lukas Miklautz, Claudia Plant · 2025 · arXiv (Cornell University)
Cites dataset
- YARE-GAN: Yet Another Resting State EEG-GAN
Yeganeh Farahzadi, Morteza Ansarinia, Zoltán Kekecs · 2025 · ArXiv.org
Cites dataset
- Task-guided Spatiotemporal Network with Diffusion Augmentation for EEG-based Dementia Diagnosis and MMSE Prediction
Xiaoyu Zheng, Xu Tian, Bin Jiao, Kunbo Cui, Hanhe Lin, Lu Shen, Jin Liu · 2026 · arXiv (Cornell University)
Cites dataset
- EEG Δ4s Biomarker Dataset: Early Detection Alzheimer's & Dementia (129 Subjects)
Sergio Pérez Muñoz · 2026 · Zenodo (CERN European Organization for Nuclear Research)
Cites dataset
- EEG Δ4s Biomarker Dataset: Early Detection Alzheimer's & Dementia (129 Subjects)
Sergio Pérez Muñoz · 2026 · Open MIND
Cites dataset
- Analysis code and data for: The Directional Fragility of Brain Connectivity
Akira Kimura · 2026 · Zenodo (CERN European Organization for Nuclear Research)
Cites dataset
- Analysis code and data for: The Directional Fragility of Brain Connectivity
Akira Kimura · 2026 · Open MIND
Cites dataset
- Flaws in EEG Alzheimer's ML: Memorization, Lucky Folds, and Metric Misalignment
Adel Sahuc · 2026 · Zenodo (CERN European Organization for Nuclear Research)
Cites dataset
- Flaws in EEG Alzheimer's ML: Memorization, Lucky Folds, and Metric Misalignment
Adel Sahuc · 2026 · Zenodo (CERN European Organization for Nuclear Research)
Cites dataset
- Analysis code and results for: Empirical validation of the Consciousness Potential framework
Spencer Howie · 2026 · Zenodo (CERN European Organization for Nuclear Research)
Cites dataset
- Analysis code and results for: Empirical validation of the Consciousness Potential framework
Spencer Howie · 2026 · Zenodo (CERN European Organization for Nuclear Research)
Cites dataset
- Empirical Validation of the Consciousness Potential Framework: Developmental Trajectories in Cultured Cortical Networks and Clinical Group Differences in Dementia
Spencer Howie · 2026 · Zenodo (CERN European Organization for Nuclear Research)
Cites dataset
- Empirical Validation of the Consciousness Potential Framework: Developmental Trajectories in Cultured Cortical Networks and Clinical Group Differences in Dementia
Spencer Howie · 2026 · Zenodo (CERN European Organization for Nuclear Research)
Cites dataset
- Analysis code and results for: Empirical validation of the Consciousness Potential framework
Spencer Howie · 2026 · Zenodo (CERN European Organization for Nuclear Research)
Cites dataset
- Empirical Validation of the Consciousness Potential Framework: Developmental Trajectories in Cultured Cortical Networks and Clinical Group Differences in Dementia
Spencer Howie · 2026 · Zenodo (CERN European Organization for Nuclear Research)
Cites dataset
- Analysis code and results for: Dynamic Signatures of Dementia: A Task-Evoked Five-Dimensional EEG Classifier for Alzheimer's Disease
Spencer Howie · 2026 · Zenodo (CERN European Organization for Nuclear Research)
Cites dataset
- Analysis code and results for: Dynamic Signatures of Dementia: A Task-Evoked Five-Dimensional EEG Classifier for Alzheimer's Disease
Spencer Howie · 2026 · Zenodo (CERN European Organization for Nuclear Research)
Cites dataset
- Dynamic Signatures of Dementia: A Task-Evoked Five-Dimensional EEG Classifier for Alzheimer's Disease
Spencer Howie · 2026 · Zenodo (CERN European Organization for Nuclear Research)
Cites dataset
- Dynamic Signatures of Dementia: A Task-Evoked Five-Dimensional EEG Classifier for Alzheimer's Disease
Spencer Howie · 2026 · Zenodo (CERN European Organization for Nuclear Research)
Cites dataset
- Code and trained models for: HC-Anchored Rank Normalization for Cross-Cohort EEG Classification of Alzheimer's Disease
Spencer Howie · 2026 · Zenodo (CERN European Organization for Nuclear Research)
Cites dataset
- Code and trained models for: HC-Anchored Rank Normalization for Cross-Cohort EEG Classification of Alzheimer's Disease
Spencer Howie · 2026 · Zenodo (CERN European Organization for Nuclear Research)
Cites dataset
- Analysis code and results for: Empirical validation of the Consciousness Potential framework
Spencer Howie · 2026 · Zenodo (CERN European Organization for Nuclear Research)
Cites dataset
- Analysis code and results for: Dynamic Signatures of Dementia: A Task-Evoked Five-Dimensional EEG Classifier for Alzheimer's Disease
Spencer Howie · 2026 · Zenodo (CERN European Organization for Nuclear Research)
Cites dataset
- Empirical Validation of the Consciousness Potential Framework: Developmental Trajectories in Cultured Cortical Networks and Clinical Group Differences in Dementia
Spencer Howie · 2026 · Zenodo (CERN European Organization for Nuclear Research)
Cites dataset
- Dynamic Signatures of Dementia: A Task-Evoked Five-Dimensional EEG Classifier for Alzheimer's Disease
Spencer Howie · 2026 · Zenodo (CERN European Organization for Nuclear Research)
Cites dataset
- GCC simulation and analysis code
Mehmet Oktay Tugan · 2026 · Zenodo (CERN European Organization for Nuclear Research)
Cites dataset
- GCC simulation and analysis code
Mehmet Oktay Tugan · 2026 · Zenodo (CERN European Organization for Nuclear Research)
Cites dataset
- GCC simulation and analysis code
Mehmet Oktay Tugan · 2026 · Zenodo (CERN European Organization for Nuclear Research)
Cites dataset
- Spatial Lo-Shu Projection of Resting-State EEG Reveals Geometric Biomarkers for Alzheimer Disease and Frontotemporal Dementia
Yao-Kai Kao · 2026 · Zenodo (CERN European Organization for Nuclear Research)
Cites dataset
- Spatial Lo-Shu Projection of Resting-State EEG Reveals Geometric Biomarkers for Alzheimer Disease and Frontotemporal Dementia
Yao-Kai Kao · 2026 · Zenodo (CERN European Organization for Nuclear Research)
Cites dataset
- EEG Spectro-Temporal Variability Analysis in Normal Aging and Neurodegenerative Disorders
Yunier Prieur Coloma, Pavel Prado, Wael El-Deredy, Alejandro Weinstein · 2026 · Zenodo (CERN European Organization for Nuclear Research)
Cites dataset
- EEG Spectro-Temporal Variability Analysis in Normal Aging and Neurodegenerative Disorders
Yunier Prieur Coloma, Pavel Prado, Wael El-Deredy, Alejandro Weinstein · 2026 · Zenodo (CERN European Organization for Nuclear Research)
Cites dataset
- Deep Neural EEG Based Alzeihmers Detection
Rashmi Rashmi, Inakshi Garg · 2025 · INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Cites dataset
- ADNET: A 1D-CNN Feature Fusion-based Method for Alzheimer’s Disease Detection Using EEG Signals
Yazeed Alkhrijah, Muhammad Arif, Syed Muhammad Usman, Shehzad Khalid, Amina Jameel, Faridoon Khan · 2025 · Journal of Disability Research
Cites dataset
- Not All Entropy Is Equal: Parameter Sensitivity, Ordinal Blindness, and the Case for Sample Entropy in Dementia EEG
Victor Edmonds · 2026 · medRxiv
Cites dataset
- Nonlinear Coherence for Vector Time Series: Defining Region-to-Region Functional Brain Connectivity
Redondo, Paolo Victor, Huser, Raphaël, Ombao, Hernando · 2025 · ArXiv.org
Cites dataset
- Decentralized Attention Fails Centralized Signals: Rethinking Transformers for Medical Time Series
Guoqi Yu, Juncheng Wang, Chen Yang, Jing Qin, Angelica I. Aviles-Rivero, Shujun Wang · 2026 · ArXiv.org
Cites dataset
- Resting-State EEG Reveals Shared Spectral Slowing but Divergent Connectivity in Alzheimer’s Disease and Frontotemporal Dementia
Vermut B. Gao · 2026 · OSF Preprints (OSF Preprints)
Cites dataset
- Task-guided Spatiotemporal Network with Diffusion Augmentation for EEG-based Dementia Diagnosis and MMSE Prediction
Xiaoyu Zheng, Xu Tian, Bin Jiao, Kunbo Cui, Hanhe Lin, Lu Shen, Jin Liu · 2026 · ArXiv.org
Cites dataset