AI for Health
With clinical and academic partners, this line develops privacy-preserving and trustworthy AI for healthcare: federated learning for heart disease, diabetes and medical imaging; cloud- and edge-based digital twins for cardiovascular disease prediction (ICT4AWE 2023, 2024); deep learning to identify the left adrenal vein in minimally invasive adrenalectomy (Surgical Laparoscopy, Endoscopy & Percutaneous Techniques, 2023); deepfake detection in lung CT; synthetic data for privacy-preserving medical imaging; and gender bias in COVID-19 diagnosis from medical images.
Publications
Rabia Arkan Yurtoğlu, Havvanur Dervişoğlu, Burak Ülver, Ruşen Halepmollası, Mehmet Haklıdır (2024). A Novel Transformation Through Digital Twin and Federated Learning Integration: A Case Study on Cardiovascular Disease Prediction. ICT4AWE 2023 (CCIS), 91.
Mahmut Lütfullah Özbilen, Feyza Özen, Ayça Şirin Kındap, Hakan Gündüz, Ruşen Halepmollası, Mehmet Haklıdır (2024). AI-Driven Detection of Parkinson's Disease Through Vocal Feature Optimization. SYZ 2024.
Merve Kaya Zeybel, Havvanur Dervişoğlu, Elif Özcan, Nida Kumbasar, Ruşen Halepmollası, İpek Baz, Mehmet Haklıdır (2024). Benchmarking Machine Learning and Deep Learning Models for Deepfake Detection in Lung CT Scans. SYZ 2024.
Süleyman Yolcu, Elif Özcan, Havvanur Dervişoğlu, Ruşen Halepmollası, Mehmet Haklıdır (2024). Experimental Analysis of Synthetic Data Generation Techniques for Privacy-Preserving AI in Medical Imaging. SYZ 2024.
Rabia Arkan Yurtoğlu, Havvanur Dervişoğlu, Mustafa Aktaş, Mehmet Daşçılar, Ruşen Halepmollası, İpek Baz, Mehmet Haklıdır (2024). Federated Learning for Diabetes Prediction in Healthcare. SYZ 2024.
Melik Mert Dolan, Burak Ülver, Kerem Basım, Ruşen Halepmollası, Mehmet Haklıdır (2024). Predicting Agitation in Dementia Patients Using AI and IoT for Enhanced Real-Time Monitoring and Care. SYZ 2024.
Burak Ülver, Rabia Arkan Yurtoğlu, Havvanur Dervişoğlu, Ruşen Halepmollası, Mehmet Haklıdır (2023). Federated Learning in Predicting Heart Disease. SIU 2023, 1-4.
DOI
Berke Şengün, Yalın İşcan, Gözde A. Tataroğlu Özbulak, Nida Kumbasar, Emre Eğriboz, İsmail Cem Sormaz, Nihat Aksakal, Sencer Melih Deniz, Mehmet Haklıdır, Fatih Tunca, Yasemin Giles Şenyürek (2023). Artificial Intelligence in Minimally Invasive Adrenalectomy: Using Deep Learning to Identify the Left Adrenal Vein. Surgical Laparoscopy, Endoscopy & Percutaneous Techniques, 33(4), 327-331.
DOI
Havvanur Dervişoğlu, Burak Ülver, Rabia Arkan Yurtoğlu, Ruşen Halepmollası, Mehmet Haklıdır (2023). A Comparative Study on Cloud-based and Edge-Based Digital Twin Frameworks for Prediction of Cardiovascular Disease. ICT4AWE 2023, 159-169.
DOI
Mehmet Haklıdır, Sinem Nalbantoğlu, Abdullah Karadağ (2023). Akıllı Sağlık Sistemi ve Yapay Zeka. Moleküler Biyoloji ve Genetik: Sağlık Alanında ve Biyoteknolojide İleri Uygulamalar, 595-613.
Sencer Melih Deniz, Hamraz Javaheri, Juan Felipe Vargas, Doğan Urgun, Fariza Sabit, Mahmut Tok, Mehmet Haklıdır, Bo Zhou, Paul Lukowicz (2022). Prediction of Lifted Weight Category Using EEG Equipped Headgear. IEEE-EMBS BHI 2022, 1-7.
Şeyma Görçin Karaketir, Nimet Emel Lüleci, Mehmet Ali Eryurt, Ahmet Naci Emecen, Mehmet Haklıdır, Seyhan Hıdıroğlu (2022). Overweight and obesity in preschool children in Turkey: A multilevel analysis. Journal of Biosocial Science, 55(2), 344-366.
DOI
İbrahim Yağız Akbayrak, Şule İrem Çağlayan, Serdar Durdağı, Lukasz Kurgan, Vladimir N. Uversky, Burak Ülver, Havvanur Dervişoğlu, Mehmet Haklıdır, Orkun Hasekioğlu, Orkid Coskuner-Weber (2021). Structures of MERS-CoV macro domain in aqueous solution with dynamics: Impacts of parallel tempering simulation techniques and CHARMM36m and AMBER99SB force field parameters. Proteins: Structure, Function, and Bioinformatics, 89(10), 1289-1299.
DOI
Mahmut Lütfullah Özbilen, Emre Eğriboz, Ruşen Halepmollası, İsmail Bilgen, Mehmet Haklıdır (2021). Deep Reinforcement Learning for Simulation-Based Determination of COVID-19 Pandemic Mitigation Policies. Artificial Intelligence Theory and Applications, 1(2).
Ruşen Halepmollası, Merve Zeybel, Elif Eyvaz, Rabia Arkan, Ahsen Genç, İsmail Bilgen, Mehmet Haklıdır (2021). Towards Federated Learning in Identification of Medical Images: A Case Study. Artificial Intelligence Theory and Applications, 1(2).
Havvanur Dervişoğlu, İsmail Bilgen, Ruşen Halepmollası, Barış Can, Mehmet Haklıdır (2021). Unfairness of Deep Learning Methods Arising Gender Bias in Covid-19 Diagnosis of Medical Images. Artificial Intelligence Theory and Applications, 1(2), 81-94.