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ResearcherID: HNP-2998-2023
Scopus Author ID: 58562295700

Biography

Farhad Abedinzadeh Torghabeh completed his Master of Science in Biomedical Engineering at Islamic Azad University, Iran, in 2023. He is actively engaged in research and professional endeavours centred around neuroimaging modalities. His primary areas of expertise encompass biomedical signal processing, brain connectivity analysis, and the utilization of machine learning techniques within the domain of biomedical engineering. Moreover, He is interested in elucidating the intricacies of brain functionality in the context of neurological conditions.

Activities

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Works (14)

A PRE-PROCESSING-FREE MENTAL STATE DETECTION MODEL USING NOISY ECG PLOTS AND DEEP TRANSFER LEARNING

Biomedical Engineering: Applications, Basis and Communications
2025-04 | Journal article
DOI: 10.4015/S1016237224500510
Contributors: Farhad Abedinzadeh Torghabeh; Yeganeh Modaresnia; Seyyed Abed Hosseini
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Crude oil price forecasting using K-means clustering and LSTM model enhanced by dense-sparse-dense strategy

Journal of Big Data
2024 | Journal article
DOI: 10.1186/S40537-024-00977-8
WOSUID: WOS:001292878500001
Contributors: Jahandoost, Alireza; Torghabeh, Farhad Abedinzadeh; Hosseini, Seyyed Abed; Houshmand, Mahboobeh
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Enhancing multi-class diabetic retinopathy detection using tuned hyper-parameters and modified deep transfer learning

Multimedia Tools and Applications
2024 | Journal article
DOI: 10.1007/S11042-024-18506-3
WOSUID: WOS:001177308300003
Contributors: Modaresnia, Yeganeh; Torghabeh, Farhad Abedinzadeh; Hosseini, Seyyed Abed
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Improved ADHD Diagnosis Using EEG Connectivity and Deep Learning through Combining Pearson Correlation Coefficient and Phase-Locking Value

Neuroinformatics
2024 | Journal article
DOI: 10.1007/S12021-024-09685-3
WOSUID: WOS:001335338300001
Contributors: Moghadam, Elham Ahmadi; Torghabeh, Farhad Abedinzadeh; Hosseini, Seyyed Abed; Moattar, Mohammad Hossein
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Simultaneous time-frequency analysis of gait signals of both legs in classifying neurodegenerative diseases

Gait & Posture
2024 | Journal article
DOI: 10.1016/J.GAITPOST.2024.07.302
WOSUID: WOS:001290898400001
Contributors: Torghabeh, Farhad Abedinzadeh; Moghadam, Elham Ahmadi; Hosseini, Seyyed Abed
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EEG-Based Effective Connectivity Analysis for Attention Deficit Hyperactivity Disorder Detection Using Color-Coded Granger-Causality Images and Custom Convolutional Neural Network

International Clinical Neuroscience Journal
2023 | Journal article
DOI: 10.34172/ICNJ.2023.12
Contributors: Farhad Abedinzadeh Torghabeh; Yeganeh Modaresnia; Seyyed Abed Hosseini
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Deep Learning-Based Brain Tumor Segmentation in MRI Images: A MobileNetV2-DeepLabV3+ Approach

Iranian Journal of Medical Physics
2023-12 | Journal article
DOI: 10.22038/ijmp.2023.73972.2313
Contributors: Farhad Abedinzadeh Torghabeh; Seyyed Abed Hosseini
Source: Self-asserted source
Farhad Abedinzadeh Torghabeh

EEG-Based Effective Connectivity Analysis for Attention Deficit Hyperactivity Disorder Detection Using Color-Coded Granger-Causality Images and Custom Convolutional Neural Network

International Clinical Neuroscience Journal
2023-11-13 | Journal article | Methodology
Contributors: Farhad Abedinzadeh Torghabeh
Source: Self-asserted source
Farhad Abedinzadeh Torghabeh

Hybrid deep transfer learning-based early diagnosis of autism spectrum disorder using scalogram representation of electroencephalography signals

Medical & Biological Engineering & Computing
2023-11-08 | Journal article
DOI: 10.1007/s11517-023-02959-z
Part of ISSN: 0140-0118
Part of ISSN: 1741-0444
Contributors: Farhad Abedinzadeh Torghabeh; Yeganeh Modaresnia; mohammad moattar
Source: Self-asserted source
Farhad Abedinzadeh Torghabeh
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An Efficient Approach for Breast Abnormality Detection through High-Level Features of Thermography Images

2023 13th International Conference on Computer and Knowledge Engineering (ICCKE)
2023-11-01 | Conference paper
DOI: 10.1109/iccke60553.2023.10326246
Contributors: Farhad Abedinzadeh Torghabeh; Yeganeh Modaresnia; Seyyed Abed Hosseini
Source: Self-asserted source
Farhad Abedinzadeh Torghabeh

EfficientNetB0’s Hybrid Approach for Brain Tumor Classification from MRI Images Using Deep Learning and Bagging Trees

2023 13th International Conference on Computer and Knowledge Engineering (ICCKE)
2023-11-01 | Conference paper
DOI: 10.1109/iccke60553.2023.10326290
Contributors: Yeganeh Modaresnia; Farhad Abedinzadeh Torghabeh; Seyyed Abed Hosseini
Source: Self-asserted source
Farhad Abedinzadeh Torghabeh
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Enhancing Parkinson's disease severity assessment through voice-based wavelet scattering, optimized model selection, and weighted majority voting

Medicine in Novel Technology and Devices
2023-10 | Journal article
DOI: 10.1016/j.medntd.2023.100266
Part of ISSN: 2590-0935
Contributors: Farhad Abedinzadeh Torghabeh; S.A. Hosseini; Elham Ahmadi Moghadam
Source: Self-asserted source
Farhad Abedinzadeh Torghabeh
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Potential biomarker for early detection of ADHD using phase-based brain connectivity and graph theory

Physical and Engineering Sciences in Medicine
2023-09-05 | Journal article
DOI: 10.1007/s13246-023-01310-y
Part of ISSN: 2662-4729
Part of ISSN: 2662-4737
Contributors: Farhad Abedinzadeh Torghabeh; S.A. Hosseini; Yeganeh Modaresnia
Source: Self-asserted source
Farhad Abedinzadeh Torghabeh
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EFFECTIVENESS OF LEARNING RATE IN DEMENTIA SEVERITY PREDICTION USING VGG16

Biomedical Engineering: Applications, Basis and Communications
2023-06 | Journal article
DOI: 10.4015/s1016237223500060
Part of ISSN: 1016-2372
Part of ISSN: 1793-7132
Contributors: Farhad Abedinzadeh Torghabeh; Yeganeh Modaresnia; mohammad mahdi khalilzadeh
Source: Self-asserted source
Farhad Abedinzadeh Torghabeh
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