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Mahda Nasrolahzadeh

Observed names: M. Nasrolahzadeh, Mahda Nasrollahzadeh, Nasrolahzadeh, Mahda
ORCID: 0000-0002-5354-3282
Observed ORCID: 0000-0002-5354-3282
OpenAlex ID: A5036516899
Epileptic seizure detection in EEGs signals based on the weighted visibility graph entropy
2017 · Zeynab Mohammadpoory, Mahda Nasrolahzadeh, et al. · Seizure · 93
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Higher-order spectral analysis of spontaneous speech signals in Alzheimer’s disease
2018 · Mahda Nasrolahzadeh, Zeynab Mohammadpoory, et al. · Cognitive Neurodynamics · 53
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Automatic identification of diabetic retinopathy stages by using fundus images and visibility graph method
2019 · Zeynab Mohammadpoory, Mahda Nasrolahzadeh, et al. · Measurement · 32
Classification of healthy and epileptic seizure EEG signals based on different visibility graph algorithms and EEG time series
2023 · Zeynab Mohammadpoory, Mahda Nasrolahzadeh, et al. · Multimedia Tools and Applications · 28
Analysis of heart rate signals during meditation using visibility graph complexity
2018 · Mahda Nasrolahzadeh, Zeynab Mohammadpoory, et al. · Cognitive Neurodynamics · 26
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A novel method for early diagnosis of Alzheimer’s disease based on higher-order spectral estimation of spontaneous speech signals
2016 · Mahda Nasrolahzadeh, Zeynab Mohammadpoory, et al. · Cognitive Neurodynamics · 25
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Complex network based models of ECoG signals for detection of induced epileptic seizures in rats
2019 · Zeynab Mohammadpoory, Mahda Nasrolahzadeh, et al. · Cognitive Neurodynamics · 22
Analysis of mean square error surface and its corresponding contour plots of spontaneous speech signals in Alzheimer's disease with adaptive wiener filter
2016 · Mahda Nasrolahzadeh, Zeinab Mohammadpoori, et al. · Computers in Human Behavior · 20
Multi-Objective Optimization of Wavelet-Packet-Based Features in Pathological Diagnosis of Alzheimer Using Spontaneous Speech Signals
2020 · Mahda Nasrolahzadeh, Javad Haddadnia, et al. · IEEE Access · 19
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Alzheimer’s disease diagnosis using genetic programming based on higher order spectra features
2021 · Mahda Nasrolahzadeh, Shahryar Rahnamayan, et al. · Machine Learning with Applications · 17
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A novel method for distinction heart rate variability during meditation using LSTM recurrent neural networks based on visibility graph
2023 · Mahda Nasrolahzadeh, Zeynab Mohammadpoory, et al. · Biomedical Signal Processing and Control · 16
Skin Lesion Classification via ensemble method on deep learning
2024 · Sekineh Asadi Amiri, Mahda Nasrolahzadeh, et al. · Multimedia Tools and Applications · 15
The visibility graph analysis of heart rate variability during chi meditation and Kundalini Yoga techniques
2023 · Mahda Nasrolahzadeh, Zeynab Mohammadpoory, et al. · Healthcare Analytics · 13
Indices From Visibility Graph Complexity of Spontaneous Speech Signal: An Efficient Nonlinear Tool for Alzheimer's Disease Diagnosis
2021 · Mahda Nasrolahzadeh, Zeynab Mohammadpoory, et al. · Chaos Solitons & Fractals · 13
Patient-independent epileptic seizure detection using weighted visibility graph features and wavelet decomposition
2025 · Zeynab Mohammadpoory, Mahda Nasrolahzadeh, et al. · Multimedia Tools and Applications · 12
Pareto-RadVis: A Novel Visualization Scheme for Many-objective Optimization
2020 · Mahda Nasrolahzadeh, Amin Ibrahim, et al. · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · 10
Weighted Visibility Graph-based Deep Complex Network Features: New Diagnostic Spontaneous Speech Markers of Alzheimer's Disease
2025 · Mahda Nasrolahzadeh, Zeynab Mohammadpoory, et al. · Physica D Nonlinear Phenomena · 6
A Non-invasive Approach for Early Alzheimer’s Detection Through Spontaneous Speech Analysis Using Deep Visibility Graphs
2025 · Zeynab Mohammadpoory, Mahda Nasrolahzadeh, et al. · Cognitive Computation · 6
Early diagnosis of Alzheimer's disease from functional rs-fMRI images based on deep learning networks and transfer learning approach
2026 · Azizeh Akbari, Mahda Nasrolahzadeh, et al. · Psychiatry Research Neuroimaging · 5
Small-world networks propensity in spontaneous speech signals of Alzheimer’s disease: visibility graph analysis
2025 · Mahda Nasrolahzadeh, Zeynab Mohammadpoory, et al. · Scientific Reports · 5
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Alzheimer's Disease Diagnosis Using Spontaneous Speech Signals and Hybrid Features
2015 · Nasrolahzadeh, Mahda, Mohammadpoori, Zeinab, et al. · Asian journal of mathematics and computer research · 4
Selection, visualization, and explanation of deep features from resting-state fMRI for Alzheimer’s disease diagnosis
2025 · Mahda Nasrolahzadeh, Azizeh Akbari · Psychiatry Research Neuroimaging · 2
Ensemble Learning for Speech Emotion Recognition using Graph-Based Signal Dynamics
2026 · Zeynab Mohammadpoory, Mahda Nasrollahzadeh, et al. · DOAJ (DOAJ: Directory of Open Access Journals)
Combining EEG Sub-Bands and Network-Based Representations in an LSTM Autoencoder for Enhanced Seizure Detection
2026 · R. Kharghanian, Z. Mohammadpoory, et al. · International Journal of Engineering
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Review of: "A Simple Preprocessing Method Enhances Machine Learning Application to EEG Data for Differential Diagnosis of Autism"
2024 · Mahda Nasrolahzadeh · Qeios
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Works count: 28
Citation count: 442
H-index: 13
I10-index: 16
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