Journals
- Explainable Multimodal Machine Learning Model for Predicting ICU Admissin at Hospital Arrival, S.Kızılışık, A.Terzi, S.Candemir, IEEE Access, vol.14, pp.64412-64426, 2026. doi: 10.1109/ACCESS.2026.3687397 (Paper, GitHub)
- Machine Lerning-Based Model Development in Mobile Health Applications and Device-Cloud Integration, Ö.Çiçek, S.Candemir, Kahramanmaras Sutcu Imam Unviersity Journal of Engineering Sciences, 03.2025 10.17780/ksujes.1624304
Conferences
- State Detection of Brain Tumors and Patient Life Expantancy Prediction with Explainable AI-based Multimodal System, A.C.Tat, E.Yıldız, S.Kızılışık, Istanbul,33. IEEE Sinyal İşleme ve İletişim Uygulamaları Kurultayı,İstanbul, 2025.(Engineering Award for Our Lab at SIU 2025!)
- Self-Training Segmentation of Covid-19 Lesions, G. Turaç, S.Candemir, 33. IEEE Sinyal İşleme ve İletişim Uygulamaları Kurultayı, İstanbul, 2025. (PDF)
- State Detection of Brain Tumors and Patient Life Expantancy Prediction with Explainable AI-based Multimodal System, A.C.Tat, E.Yıldız, S.Kızılışık, 16th Medical Informatics Congress, Ankara, 22.05.2025 (PDF)
- Addressing Class Imbalance in Covid-19 Lesion Segmentation: Study of Loss Functions, U. K. Kavaklı, Atılım University, Engineering Sciences and Research Student Congress, Ankara, 2024.
- Deep Learning-based Eye Disease Detection, Severity Prediction and Localization wih Focal Loss and Grad-CAM, G.Turaç, O.Haktan, Atılım University, Engineering Sciences and Research Student Congress, Ankara, 2024.
Thesis
- Machine Learning-based Model Development in Mobile Health Applications and Device-Cloud Deployment - Mobil Sağlık Uygulamalarında Makıne Öğrenmesi Temelli Model Geliştirme ve Modelin Cihaz-Bulut Dağıtımı - Özge Çiçek - 04.2024
Invited Talks
- Strategies for Addressing Data Scarcity in AI-based Model Development, 6. Eskişehir, Uluslararası Sağlık ve Bilişim Sempozyumu, 16.05.2025, Eskişehir
- Teknovizyon 12 March 2025 - Dr. Öğr. Üyesi Sema CANDEMİR, Kanal 26'da yayımlanan Teknovizyon programına konuk oldu
- Deep Learning Models in Cognitive Diseases, 59. Ulusal Nöroloji Kongresi, Genç Nörologlar Çalıştayı, December 15th, 2023, Antalya, Türkiye. 59. Ulusal Nöroloji Kongresi
- 3rd International Balkan Congress on Neurology and Neuroscience, The Future of Cognitive Diseases Session, October 7th, 2023, Tekirdağ, Türkiye. Turkish Neurological Society | 3rd International Balkan Congress on Neurology and Neuroscience
- AI in Medical Image Understanding - EuroCC Turkiye & Sabancı University - Sema Candemir
Bachelor of Science Projects
- State Detection of Brain Tumors and Patient Life Expectancy Prediction with Explainable Artificial Intelligence-based Multimodal System - Ahmet Caner Tat, Emirhan Yıldız, Salih Kızılışık, 06.2025
- 2nd place in the Best Engineering Design Category at 33. IEEE Sinyal İşleme ve İletişim Uygulamaları Kurultayı.(Engineering Award for Our Lab at SIU 2025!)
- Presented at 16th Medical Informatics Congress, Ankara, 22.05.2025
- Supported by Tubitak-2209A Research Project Support Programme for Undergraduate Students.
- Skin Disease Diagnosis Model Based on Multimodal Data with Explainable Artificial Intelligence - Berkay Üzer, Kerem Kundak - 06.2025
- Supported by Tubitak-2209A Research Project Support Programme for Undergraduate Students.
- Semi-supervised and Explainable Deep Learning Model for the Classification of Gastrointestinal Diseases - Ahmet Emirhan Terzi, Mahmut Sami Yılmaz, Seda Yeler - 06.2025
- Supported by Tubitak-2209A Research Project Support Programme for Undergraduate Students.
- Diagnosis of Diseases in Color Fundus Images Using Deep Learning Algorithms - Göksu Turaç, Onur Haktan - 06.2024.
- The winner project among 31 groups at the 17th Project Fair and Competition held at ESTU on May 28, 2024.
- Presented at Engineering Sciences and Research Student Congress, Ankara, Atılım University, 2024.
- Explainable Artificial Intelligence-based Diagnosis of Lung Diseases from Chest X-rays - İlayda Su İrday, Emirhan Sarp - 06.2024
- Supported by Tubitak-2209A Research Project Support Programme for Undergraduate Students.