Abdulhamit Subasi
- Intelligent credit scoring using deep learning methods (2023)
- Concurrency and Computation: Practice and Experience
- OzNet: A New Deep Learning Approach for Automated Classification of COVID-19 Computed Tomography Scans (2023)
- Big data
- Promoting accuracy in low-magnification histopathology grading: With augmentation and multi-dilation model (2023)
- Biomedical Signal Processing and Control
- Risk prediction model for cannabis use with artificial intelligence approach (2023)
- Journal of Substance Use
- Signal Acquisition Preprocessing and Feature Extraction Techniques for Biomedical Signals (2023) Advances in Non-Invasive Biomedical Signal Sensing and Processing with Machine Learning Subasi Abdulhamit, Qaisar Saeed Mian
- Trustworthy artificial intelligence in healthcare (2023) Accelerating Strategic Changes for Digital Transformation in the Healthcare Industry Subasi Abdulhamit, Ozaltin Oznur, Mitra Arka, Subasi Muhammed Enes, Sarirete Akila
- A deep learning approach for COVID-19 detection from computed tomography scans (2022) Applications of Artificial Intelligence in Medical Imaging Varshney Ashutosh, Subasi Abdulhamit
- A Deep Learning Approach for Detecting Stroke from Brain CT Images Using OzNet (2022)
- Bioengineering
- Advanced pattern recognition tools for disease diagnosis (2022) 5G IoT and Edge Computing for Smart Healthcare Subasi Abdulhamit, Panigrahi Siba Smarak, Patil Bhalchandra Sunil, Canbaz Abdullah, Klén Riku
- Alzheimer’s disease detection using artificial intelligence (2022) Augmenting Neurological Disorder Prediction and Rehabilitation Using Artificial Intelligence Subasi Abdulhamit, Kapadnis Manav Nitin, Bulbul Ayse Kosal



