Abdulhamit Subasi

Brain hemorrhage detection using computed tomography images and deep learning (2022)

Elen Abdullah, Diker Aykut, Subasi Abdulhamit

(B2 Vertaisarvioimaton kirjan tai muun kokoomateoksen osa)

Classification of brain hemorrhage computed tomography images using OzNet hybrid algorithm (2022)

International Journal of Imaging Systems and Technology

Ozaltin Oznur, Coskun Orhan, Yeniay Ozgur, Subasi Abdulhamit

(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

Artificial intelligence based Alzheimer’s disease detection using deep feature extraction (2022)

Kapadnis Manav Nitin, Bhattacharyya Abhijit, Subasi Abdulhamit

(Kirjan tai muun kokoomateoksen osa (B2))

Novel finger movement classification method based on multi-centered binary pattern using surface electromyogram signals (2022)

Biomedical Signal Processing and Control

Tuncer Turker, Dogan Sengul, Subasi Abdulhamit

(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

An automated COVID-19 detection based on fused dynamic exemplar pyramid feature extraction and hybrid feature selection using deep learning (2021)

Computers in Biology and Medicine

Ozyurt Fatih, Tuncer Turker, Subasi Abdulhamit

(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

A New Fractal Pattern Feature Generation Function based Emotion Recognition Method using EEG (2021)

Chaos, Solitons and Fractals

Tuncer Turker, Dogan Sengul, Subasi Abdulhamit

(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

COVID-19 detection from X-ray images using artificial intelligence (2021)

Subasi Abdulhamit, Qureshi Saqib Ahmed, Brahimi Tayeb, Serireti Akila

(Kirjan tai muun kokoomateoksen osa (B2))

EEG-based emotion recognition using tunable Q wavelet transform and rotation forest ensemble classifier (2021)

Biomedical Signal Processing and Control

Subasi Abdulhamit, Tuncer Turker, Dogan Sengul, Tanko Dahiru, Sakoglu Unal

(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

A Multitier Deep Learning Model for Arrhythmia Detection (2021)

IEEE Transactions on Instrumentation and Measurement

Hammad Mohamed, Iliyasu Abdullah M, Subasi Abdulhamit, Ho Edmond S. L., El-Latif Ahmed A. Abd

(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

A novel automated tower graph based ECG signal classification method with hexadecimal local adaptive binary pattern and deep learning (2021)

Journal of Ambient Intelligence and Humanized Computing

Subasi Abdulhamit, Dogan Sengul, Tuncer Turker

(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))

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Brain hemorrhage detection using computed tomography images and deep learning (2022)

Classification of brain hemorrhage computed tomography images using OzNet hybrid algorithm (2022)

Artificial intelligence based Alzheimer’s disease detection using deep feature extraction (2022)

Novel finger movement classification method based on multi-centered binary pattern using surface electromyogram signals (2022)

An automated COVID-19 detection based on fused dynamic exemplar pyramid feature extraction and hybrid feature selection using deep learning (2021)

A New Fractal Pattern Feature Generation Function based Emotion Recognition Method using EEG (2021)

COVID-19 detection from X-ray images using artificial intelligence (2021)

EEG-based emotion recognition using tunable Q wavelet transform and rotation forest ensemble classifier (2021)

A Multitier Deep Learning Model for Arrhythmia Detection (2021)

A novel automated tower graph based ECG signal classification method with hexadecimal local adaptive binary pattern and deep learning (2021)