Fatih Aksu
Full profile and recent publications of Fatih Aksu.
Researcher
Fatih Aksu
Postdoctoral Researcher @ Università Campus Bio-Medico di Roma
Fatih Aksu is a Postdoctoral Researcher at Università Campus Bio-Medico di Roma (UCBM). He earned his PhD in Artificial Intelligence (Health and Life Sciences) from UCBM, where his doctoral work centered on advancing multimodal deep learning through intermediate fusion strategies and designing resilient AI frameworks that integrate federated learning with triplet networks. He received his B.Sc. and M.Sc. degrees in Electrical and Electronics Engineering from Middle East Technical University. His research focuses on deep learning methods applied to biomedical domains, with a particular emphasis on the diagnosis and prognosis of lung cancer. Methodologically, his work spans multimodal deep learning, synthetic image generation, 3D medical vision foundation models, digital pathology analysis using whole slide images, and resilient AI frameworks.
Recent Publications
- [18F]FDG PET/CT Radiomics for Predicting Pathological Risk Subtypes of Thymic Epithelial Tumors: A Bicentric Study2026
- Virtual Scanning for NSCLC Histology: Investigating the Discriminatory Power of Synthetic PETarXiv preprint arXiv:2605.02746, 2026
- Learning from Limited and Incomplete Data: A Multimodal Framework for Predicting Pathological Response in NSCLCarXiv preprint arXiv:2603.15100, 2026
- Transformer-Based Analysis for Detecting Pulmonary Nodules in CT Scans: Preliminary Results2025
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- NSCLC histological subtype classification from CT scans using generalist 3D medical foundation models2025
- Multi-stage intermediate fusion for multimodal learning to classify non-small cell lung cancer subtypes from CT and PET2025
- Enhancing NSCLC Histological Subtype Classification: A Federated Learning Approach Using Triplet Loss2025
- A systematic review of intermediate fusion in multimodal deep learning for biomedical applications2025
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