Fatih Aksu
Orcid: 0000-0001-5677-2024
According to our database1,
Fatih Aksu authored at least 11 papers
between 2023 and 2026.
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Bibliography
2026
Learning from Limited and Incomplete Data: A Multimodal Framework for Predicting Pathological Response in NSCLC.
CoRR, March, 2026
2025
Multi-stage intermediate fusion for multimodal learning to classify non-small cell lung cancer subtypes from CT and PET.
Pattern Recognit. Lett., 2025
A systematic review of intermediate fusion in multimodal deep learning for biomedical applications.
Image Vis. Comput., 2025
Proceedings of the Joint Proceedings of the Thematic Workshops at Ital-IA 2025 colocated with the 5th National Conference on Artificial Intelligence, 2025
NSCLC histological subtype classification from CT scans using generalist 3D medical foundation models.
Proceedings of the 13th IEEE International Conference on Healthcare Informatics, 2025
Transformer-Based Analysis for Detecting Pulmonary Nodules in CT Scans: Preliminary Results.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025
2024
Proceedings of the Ital-IA Intelligenza Artificiale, 2024
Enhancing NSCLC Histological Subtype Classification: A Federated Learning Approach Using Triplet Loss.
Proceedings of the Pattern Recognition. ICPR 2024 International Workshops and Challenges, 2024
Toward a Multimodal Deep Learning Approach for Histological Subtype Classification in NSCLC.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
2023
Building an AI-Enabled Metaverse for Intelligent Healthcare: Opportunities and Challenges.
Proceedings of the Italia Intelligenza Artificiale, 2023
Early Experiences on using Triplet Networks for Histological Subtype Classification in Non-Small Cell Lung Cancer.
Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023