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  1. Article

    Open Access

    MNPDenseNet: Automated Monkeypox Detection Using Multiple Nested Patch Division and Pretrained DenseNet201

    Monkeypox is a viral disease caused by the monkeypox virus (MPV). A surge in monkeypox infection has been reported since early May 2022, and the outbreak has been classified as a global health emergency as the...

    Fahrettin Burak Demir, Mehmet Baygin, Ilknur Tuncer… in Multimedia Tools and Applications (2024)

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  2. Article

    Correction to: Automated facial expression recognition using exemplar hybrid deep feature generation technique

    Mehmet Baygin, Ilknur Tuncer, Sengul Dogan, Prabal Datta Barua… in Soft Computing (2024)

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  3. Article

    Open Access

    Swin-LBP: a competitive feature engineering model for urine sediment classification

    Automated urine sediment analysis has become an essential part of diagnosing, monitoring, and treating various diseases that affect the urinary tract and kidneys. However, manual analysis of urine sediment is ...

    Mehmet Erten, Prabal Datta Barua, Ilknur Tuncer… in Neural Computing and Applications (2023)

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  4. No Access

    Article

    Automated Urine Cell Image Classification Model Using Chaotic Mixer Deep Feature Extraction

    Microscopic examination of urinary sediments is a common laboratory procedure. Automated image-based classification of urinary sediments can reduce analysis time and costs. Inspired by cryptographic mixing pro...

    Mehmet Erten, Ilknur Tuncer, Prabal D. Barua, Kubra Yildirim… in Journal of Digital Imaging (2023)

  5. No Access

    Article

    Automated facial expression recognition using exemplar hybrid deep feature generation technique

    The perception and recognition of emotional expressions provide essential information about individuals’ social behavior. Therefore, decoding emotional expressions is very important. Facial expression recognit...

    Mehmet Baygin, Ilknur Tuncer, Sengul Dogan, Prabal Datta Barua… in Soft Computing (2023)

  6. No Access

    Article

    A new hand-modeled learning framework for driving fatigue detection using EEG signals

    Fatigue detection is a critical application area for machine learning, and variable input data have been utilized to detect fatigue. One of the most commonly used inputs for fatigue detection is electroencepha...

    Sengul Dogan, Ilknur Tuncer, Mehmet Baygin… in Neural Computing and Applications (2023)

  7. No Access

    Article

    PatchResNet: Multiple Patch Division–Based Deep Feature Fusion Framework for Brain Tumor Classification Using MRI Images

    Modern computer vision algorithms are based on convolutional neural networks (CNNs), and both end-to-end learning and transfer learning modes have been used with CNN for image classification. Thus, automated b...

    Taha Muezzinoglu, Nursena Baygin, Ilknur Tuncer… in Journal of Digital Imaging (2023)