A New Adaptive Signal Segmentation Approach Based on Hiaguchi's Fractal Dimension. - Hamed Azami; Alireza Khosravi; Milad Malekzadeh 001; Saeid Sanei (ICIC (3), 2012)

Optimization of Orthogonal Poly Phase Coding Waveform Based on Bees Algorithm and Artificial Bee Colony for MIMO Radar. - Milad Malekzadeh 001; Alireza Khosravi; Saeed Alighale; Hamed Azami (ICIC (1), 2012)

Segmentation of medical images based on hierarchical evolutionary and bee algorithms. - Hamed Azami; Milad Azarbad; Saeid Sanei (MLSP, 2013)

A hybrid evolutionary approach to segmentation of non-stationary signals. - Hamed Azami; Saeid Sanei; Karim Mohammadi; Hamid Hassanpour (Digit. Signal Process., 2013)

Classification of GPS Satellites Using Improved Back Propagation Training Algorithms. - Hamed Azami; Mohammad Reza Mosavi; Saeid Sanei (Wirel. Pers. Commun., 2013)

New Neural Network-based Approaches for GPS GDOP Classification based on Neuro-Fuzzy Inference System, Radial Basis Function, and Improved Bee Algorithm. - Milad Azarbad; Hamed Azami; Saeid Sanei; Ataollah Ebrahimzadeh (Appl. Soft Comput., 2014)

Spike detection approaches for noisy neuronal data: Assessment and comparison. - Hamed Azami; Saeid Sanei (Neurocomputing, 2014)

Combination of signal segmentation approaches using fuzzy decision making. - Hamed Azami; Javier Escudero (EMBC, 2015)

A comparative study of breast cancer diagnosis based on neural network ensemble via improved training algorithms. - Hamed Azami; Javier Escudero (EMBC, 2015)

Evaluation of resting-state magnetoencephalogram complexity in Alzheimer's disease with multivariate multiscale permutation and sample entropies. - Hamed Azami; Keith Smith; Alberto Fernández 004; Javier Escudero (EMBC, 2015)

Comparison of network analysis approaches on EEG connectivity in beta during Visual Short-term Memory binding tasks. - Keith Smith; Hamed Azami; Javier Escudero; Mario A. Parra; John M. Starr (EMBC, 2015)

Cluster-span threshold: An unbiased threshold for binarising weighted complete networks in functional connectivity analysis. - Keith Smith; Hamed Azami; Mario A. Parra; John M. Starr; Javier Escudero (EMBC, 2015)

Dispersion entropy for the analysis of resting-state MEG regularity in Alzheimer's disease. - Hamed Azami; Mostafa Rostaghi; Alberto Fernández 004; Javier Escudero (EMBC, 2016)

MEMD-enhanced multivariate fuzzy entropy for the evaluation of complexity in biomedical signals. - Hamed Azami; Keith Smith; Javier Escudero (EMBC, 2016)

Inspection of short-time resting-state electroencephalogram functional networks in Alzheimer's disease. - Javier Escudero; Keith Smith; Hamed Azami; Daniel Abásolo (EMBC, 2016)

Improved multiscale permutation entropy for biomedical signal analysis: Interpretation and application to electroencephalogram recordings. - Hamed Azami; Javier Escudero (Biomed. Signal Process. Control., 2016)

Amplitude-aware permutation entropy: Illustration in spike detection and signal segmentation. - Hamed Azami; Javier Escudero (Comput. Methods Programs Biomed., 2016)

Refined Composite Multiscale Dispersion Entropy: A Fast Measure of Complexity. - Hamed Azami; Mostafa Rostaghi; Javier Escudero (CoRR, 2016)

Dispersion Entropy: A Measure for Time-Series Analysis. - Mostafa Rostaghi; Hamed Azami (IEEE Signal Process. Lett., 2016)

Multiscale dispersion entropy for the regional analysis of resting-state magnetoencephalogram complexity in Alzheimer's disease. - Hamed Azami; Eli Kinney-Lang; Ahmed Ebied; Alberto Fernández 004; Javier Escudero (EMBC, 2017)

Amplitude- and Frequency-based Dispersion Patterns and Entropy. - Hamed Azami; Javier Escudero (CoRR, 2017)

Univariate and Multivariate Generalized Multiscale Entropy to Characterise EEG Signals in Alzheimer's Disease. - Hamed Azami; Daniel Abásolo; Samantha Simons; Javier Escudero (Entropy, 2017)

Refined multiscale fuzzy entropy based on standard deviation for biomedical signal analysis. - Hamed Azami; Alberto Fernández 004; Javier Escudero (Medical Biol. Eng. Comput., 2017)

Bidimensional Distribution Entropy to Analyze the Irregularity of Small-Sized Textures. - Hamed Azami; Javier Escudero; Anne Humeau-Heurtier (IEEE Signal Process. Lett., 2017)

Refined Composite Multiscale Dispersion Entropy and its Application to Biomedical Signals. - Hamed Azami; Mostafa Rostaghi; Daniel E. Abásolo; Javier Escudero (IEEE Trans. Biomed. Eng., 2017)

Advanced Methods to Analyse the Complexity of the Brain. - Nadia Mammone; Gaoxiang Ouyang; Hamed Azami (Complex., 2018)

Coarse-Graining Approaches in Univariate Multiscale Sample and Dispersion Entropy. - Hamed Azami; Javier Escudero (Entropy, 2018)

Amplitude- and Fluctuation-Based Dispersion Entropy. - Hamed Azami; Javier Escudero (Entropy, 2018)

Multiscale Fluctuation-Based Dispersion Entropy and Its Applications to Neurological Diseases. - Hamed Azami; Steven E. Arnold; Saeid Sanei; Zhuoqing Chang; Guillermo Sapiro; Javier Escudero; Anoopum S. Gupta (IEEE Access, 2019)

Fuzzy Entropy Metrics for the Analysis of Biomedical Signals: Assessment and Comparison. - Hamed Azami; Peng Li 002; Steven E. Arnold; Javier Escudero; Anne Humeau-Heurtier (IEEE Access, 2019)

Multivariate Multiscale Dispersion Entropy of Biomedical Times Series. - Hamed Azami; Alberto Fernández 004; Javier Escudero (Entropy, 2019)

Two-dimensional dispersion entropy: An information-theoretic method for irregularity analysis of images. - Hamed Azami; Luiz Eduardo Virgilio da Silva; Ana Carolina Mieko Omoto; Anne Humeau-Heurtier (Signal Process. Image Commun., 2019)

Bidimensional Multiscale Fuzzy Entropy and Its Application to Pseudoxanthoma Elasticum. - Mirvana Hilal; Clémence Berthin; Ludovic Martin; Hamed Azami; Anne Humeau-Heurtier (IEEE Trans. Biomed. Eng., 2020)

Bearing Fault Diagnosis Using Refined Composite Generalized Multiscale Dispersion Entropy-Based Skewness and Variance and Multiclass FCM-ANFIS. - Mostafa Rostaghi; Mohammad Mahdi Khatibi; Mohammad Reza Ashory; Hamed Azami (Entropy, 2021)

Detection of Oculomotor Dysmetria From Mobile Phone Video of the Horizontal Saccades Task Using Signal Processing and Machine Learning Approaches. - Hamed Azami; Zhuoqing Chang; Steven E. Arnold; Guillermo Sapiro; Anoopum S. Gupta (IEEE Access, 2022)

Ensemble entropy: A low bias approach for data analysis. - Hamed Azami; Saeid Sanei; Tarek K. Rajji (Knowl. Based Syst., 2022)

Fuzzy Dispersion Entropy: A Nonlinear Measure for Signal Analysis. - Mostafa Rostaghi; Mohammad Mahdi Khatibi; Mohammad Reza Ashory; Hamed Azami (IEEE Trans. Fuzzy Syst., 2022)

Multiscale Fluctuation Dispersion Entropy of EEG as a Physiological Biomarker of Schizotypy. - Ahmad Zandbagleh; Hamed Azami; Sattar Mirzakuchaki; Mohammad Reza Daliri; Saeid Sanei; Preethi Premkumar (IEEE Access, 2023)

Refined Composite Multiscale Fuzzy Dispersion Entropy and Its Applications to Bearing Fault Diagnosis. - Mostafa Rostaghi; Mohammad Mahdi Khatibi; Mohammad Reza Ashory; Hamed Azami (Entropy, 2023)

Bidimensional ensemble entropy: Concepts and application to emphysema lung computerized tomography scans. - Andreia S. Gaudêncio; Hamed Azami; João M. R. Cardoso; Pedro G. Vaz; Anne Humeau-Heurtier (Comput. Methods Programs Biomed., 2023)

NLDyn - An open source MATLAB toolbox for the univariate and multivariate nonlinear dynamical analysis of physiological data. - Mostafa Rostaghi; Sadegh Rostaghi; Anne Humeau-Heurtier; Tarek K. Rajji; Hamed Azami (Comput. Methods Programs Biomed., 2024)

Implications of Aperiodic and Periodic EEG Components in Classification of Major Depressive Disorder from Source and Electrode Perspectives. - Ahmad Zandbagleh; Saeid Sanei; Hamed Azami (Sensors, 2024)