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A wrapper-based approach for feature selection and classification of major depressive disorder–bipolar disorders

Computers in biology and medicine, 2015-09, Vol.64, p.127-137

2015

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A Class Activation Map-Based Interpretable Transfer Learning Model for Automated Detection of ADHD from fMRI Data

Clinical EEG and neuroscience, 2023-03, Vol.54 (2), p.151-159

2023

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Analysis of Time — Frequency EEG Feature Extraction Methods for Mental Task Classification

International journal of computational intelligence systems, 2017, Vol.10 (1), p.1280-1288

2017

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Radiation shielding parameters of some antioxidants using Monte Carlo method

Journal of biological physics, 2018-12, Vol.44 (4), p.579-590

2018

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Anatomical connectivity changes in bipolar disorder and schizophrenia investigated using whole-brain tract-based spatial statistics and machine learning approaches

Neural computing & applications, 2019-09, Vol.31 (9), p.4983-4992

2019

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Use of EEG for Predicting Treatment Response to Transcranial Magnetic Stimulation in Obsessive Compulsive Disorder

Clinical EEG and neuroscience, 2020-05, Vol.51 (3), p.139-145

2020

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Binomial Logistic Regression and Artificial Neural Network Methods to Classify Opioid-Dependent Subjects and Control Group Using Quantitative EEG Power Measures

Clinical EEG and neuroscience, 2019-09, Vol.50 (5), p.303-310

2019

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Entropy: A Promising EEG Biomarker Dichotomizing Subjects With Opioid Use Disorder and Healthy Controls

Clinical EEG and neuroscience, 2020-11, Vol.51 (6), p.373-381

2020

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Discriminating schizophrenia and schizo-obsessive disorder: a structural MRI study combining VBM and machine learning methods

Neural computing & applications, 2018, Vol.29 (2), p.377-387

2018

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The Use of Quantitative EEG for Differentiating Frontotemporal Dementia From Late-Onset Bipolar Disorder

Clinical EEG and neuroscience, 2018-05, Vol.49 (3), p.171-176

2018

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Neural Network Based Response Prediction of rTMS in Major Depressive Disorder Using QEEG Cordance

PSYCHIATRY INVESTIGATION, 2015, 12(1), , pp.61-65

2015

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Ant Colony Optimization Based Feature Selection Method for QEEG Data Classification

PSYCHIATRY INVESTIGATION, 2014, 11(3), , pp.243-250

2014

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Major Depressive Disorder Classification Based on Different Convolutional Neural Network Models: Deep Learning Approach

Clinical EEG and neuroscience, 2021-01, Vol.52 (1), p.38-51

2021

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The Deep Learning Method Differentiates Patients with Bipolar Disorder from Controls with High Accuracy Using EEG Data

Clinical EEG and neuroscience, 2024-03, p.155005942211372

2024

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Evaluation of the glioblastoma multiforme treatment with hyperthermia using the finite element method

Numerical heat transfer. Part A, Applications, 2023-06, Vol.83 (11), p.1239-1260

2023

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Application of Hybrid DeepLearning Architectures for Identification of Individuals with Obsessive Compulsive Disorder Based on EEG Data

Clinical EEG and neuroscience, 2024-09, Vol.55 (5), p.543-552

2024

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Artificial intelligence approach to classify unipolar and bipolar depressive disorders

Neural computing & applications, 2016-08, Vol.27 (6), p.1607-1616

2016

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Entropy-based feature extraction technique in conjunction with wavelet packet transform for multi-mental task classification

Biomedizinische Technik, 2019-09, Vol.64 (5), p.529-542

2019

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Diagnostic Performance of Machine Learning Models Based on 18F-FDG PET/CT Radiomic Features in the Classification of Solitary Pulmonary Nodules

Molecular imaging and radionuclide therapy, 2022-06, Vol.31 (2), p.82-88

2022

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Feature Selection and Classification of Electroencephalographic Signals: An Artificial Neural Network and Genetic Algorithm Based Approach

Clinical EEG and neuroscience, 2015-10, Vol.46 (4), p.321-326

2015

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Therapeutic Targets of Probiotics in Parkinson Disease: A Systematic Review of Randomized Controlled Trials

Basic and clinical neuroscience, 2024-03, Vol.15 (2), p.165-174

2024

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The effects of CYP1A2 and ADORA2A genotypes association with acute caffeine intake on physiological effects and performance: A systematic review

Baltic journal of health and physical activity, 2022-01, Vol.14 (3), p.Article8

2022

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A hybrid artificial intelligence method to classify trichotillomania and obsessive compulsive disorder

Neurocomputing (Amsterdam), 2015-08, Vol.161, p.220-228

2015

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Process control using genetic algorithm and ant colony optimization algorithm

Journal of intelligent & fuzzy systems, 2014, Vol.26 (1), p.501-516

2014

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A hybrid PSO-PID approach for trajectory tracking application of a liquid level control process

An international journal of optimization and control, 2015-01, Vol.5 (2), p.63-73

Erguzel, Turker Tekin

2015

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A wrapper-based approach for feature selection and classification of major depressive disorder–bipolar disorders

A Class Activation Map-Based Interpretable Transfer Learning Model for Automated Detection of ADHD from fMRI Data

Analysis of Time — Frequency EEG Feature Extraction Methods for Mental Task Classification

Radiation shielding parameters of some antioxidants using Monte Carlo method

Anatomical connectivity changes in bipolar disorder and schizophrenia investigated using whole-brain tract-based spatial statistics and machine learning approaches

Use of EEG for Predicting Treatment Response to Transcranial Magnetic Stimulation in Obsessive Compulsive Disorder

Binomial Logistic Regression and Artificial Neural Network Methods to Classify Opioid-Dependent Subjects and Control Group Using Quantitative EEG Power Measures

Entropy: A Promising EEG Biomarker Dichotomizing Subjects With Opioid Use Disorder and Healthy Controls

Discriminating schizophrenia and schizo-obsessive disorder: a structural MRI study combining VBM and machine learning methods

The Use of Quantitative EEG for Differentiating Frontotemporal Dementia From Late-Onset Bipolar Disorder

Neural Network Based Response Prediction of rTMS in Major Depressive Disorder Using QEEG Cordance

Ant Colony Optimization Based Feature Selection Method for QEEG Data Classification

Major Depressive Disorder Classification Based on Different Convolutional Neural Network Models: Deep Learning Approach

The Deep Learning Method Differentiates Patients with Bipolar Disorder from Controls with High Accuracy Using EEG Data

Evaluation of the glioblastoma multiforme treatment with hyperthermia using the finite element method

Application of Hybrid DeepLearning Architectures for Identification of Individuals with Obsessive Compulsive Disorder Based on EEG Data

Artificial intelligence approach to classify unipolar and bipolar depressive disorders

Entropy-based feature extraction technique in conjunction with wavelet packet transform for multi-mental task classification

Diagnostic Performance of Machine Learning Models Based on 18F-FDG PET/CT Radiomic Features in the Classification of Solitary Pulmonary Nodules

Feature Selection and Classification of Electroencephalographic Signals: An Artificial Neural Network and Genetic Algorithm Based Approach

Therapeutic Targets of Probiotics in Parkinson Disease: A Systematic Review of Randomized Controlled Trials

The effects of CYP1A2 and ADORA2A genotypes association with acute caffeine intake on physiological effects and performance: A systematic review

A hybrid artificial intelligence method to classify trichotillomania and obsessive compulsive disorder

Process control using genetic algorithm and ant colony optimization algorithm

A hybrid PSO-PID approach for trajectory tracking application of a liquid level control process

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