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Ozal Yildirim

Showing results (1-10 of 18) with videos related to

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Diagnostics (Basel, Switzerland)|July 29, 2023
An Explainable Vision Transformer Model Based White Blood Cells Classification and LocalizationOguzhan Katar, Ozal Yildirim
Biomedicines|May 27, 2026
An Explainable Transformer-Based Framework for Lung Cancer Classification and Automated Radiology Report Generation from Multi-Slice CT ImagesOguzhan Katar, Tulin Akbalik, Ozal Yildirim
International Journal of Environmental Research and Public Health|February 23, 2019
A Deep Learning Model for Automated Sleep Stages Classification Using PSG SignalsOzal Yildirim, Ulas Baran Baloglu, U Rajendra Acharya
Diagnostics (Basel, Switzerland)|November 27, 2024
A Novel Hybrid Model for Automatic Non-Small Cell Lung Cancer Classification Using Histopathological ImagesOguzhan Katar, Ozal Yildirim, Ru-San Tan, et al.
Physica Medica : PM : an International Journal Devoted to the Applications of Physics to Medicine and Biology : Official Journal of the Italian Association of Biomedical Physics (AIFB)|January 22, 2020
1D-CADCapsNet: One dimensional deep capsule networks for coronary artery disease detection using ECG signalsErtan Butun, Ozal Yildirim, Muhammed Talo, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|October 23, 2019
Convolutional neural networks for multi-class brain disease detection using MRI imagesMuhammed Talo, Ozal Yildirim, Ulas Baran Baloglu, et al.
International Journal of Environmental Research and Public Health|June 24, 2022
An Automated Wavelet-Based Sleep Scoring Model Using EEG, EMG, and EOG Signals with More Than 8000 SubjectsManish Sharma, Anuj Yadav, Jainendra Tiwari, et al.
Computer Methods and Programs in Biomedicine|September 15, 2020
Accurate deep neural network model to detect cardiac arrhythmia on more than 10,000 individual subject ECG recordsOzal Yildirim, Muhammed Talo, Edward J Ciaccio, et al.
Computers in Biology and Medicine|August 18, 2019
Automated detection of diabetic subject using pre-trained 2D-CNN models with frequency spectrum images extracted from heart rate signalsOzal Yildirim, Muhammed Talo, Betul Ay, et al.
Computers in Biology and Medicine|May 19, 2020
Application of deep learning techniques for heartbeats detection using ECG signals-analysis and reviewFatma Murat, Ozal Yildirim, Muhammed Talo, et al.
Pageof 2

Showing results (1-10 of 18) with videos related to

Sort By:
Pageof 2
Diagnostics (Basel, Switzerland)|July 29, 2023
An Explainable Vision Transformer Model Based White Blood Cells Classification and LocalizationOguzhan Katar, Ozal Yildirim
Biomedicines|May 27, 2026
An Explainable Transformer-Based Framework for Lung Cancer Classification and Automated Radiology Report Generation from Multi-Slice CT ImagesOguzhan Katar, Tulin Akbalik, Ozal Yildirim
International Journal of Environmental Research and Public Health|February 23, 2019
A Deep Learning Model for Automated Sleep Stages Classification Using PSG SignalsOzal Yildirim, Ulas Baran Baloglu, U Rajendra Acharya
Diagnostics (Basel, Switzerland)|November 27, 2024
A Novel Hybrid Model for Automatic Non-Small Cell Lung Cancer Classification Using Histopathological ImagesOguzhan Katar, Ozal Yildirim, Ru-San Tan, et al.
Physica Medica : PM : an International Journal Devoted to the Applications of Physics to Medicine and Biology : Official Journal of the Italian Association of Biomedical Physics (AIFB)|January 22, 2020
1D-CADCapsNet: One dimensional deep capsule networks for coronary artery disease detection using ECG signalsErtan Butun, Ozal Yildirim, Muhammed Talo, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|October 23, 2019
Convolutional neural networks for multi-class brain disease detection using MRI imagesMuhammed Talo, Ozal Yildirim, Ulas Baran Baloglu, et al.
International Journal of Environmental Research and Public Health|June 24, 2022
An Automated Wavelet-Based Sleep Scoring Model Using EEG, EMG, and EOG Signals with More Than 8000 SubjectsManish Sharma, Anuj Yadav, Jainendra Tiwari, et al.
Computer Methods and Programs in Biomedicine|September 15, 2020
Accurate deep neural network model to detect cardiac arrhythmia on more than 10,000 individual subject ECG recordsOzal Yildirim, Muhammed Talo, Edward J Ciaccio, et al.
Computers in Biology and Medicine|August 18, 2019
Automated detection of diabetic subject using pre-trained 2D-CNN models with frequency spectrum images extracted from heart rate signalsOzal Yildirim, Muhammed Talo, Betul Ay, et al.
Computers in Biology and Medicine|May 19, 2020
Application of deep learning techniques for heartbeats detection using ECG signals-analysis and reviewFatma Murat, Ozal Yildirim, Muhammed Talo, et al.
Pageof 2