Fabrizia Gelardi

According to our database, Fabrizia Gelardi authored at least 9 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Cross Modality Image Translation In Medical Imaging Using Generative Frameworks.

Giulia Romoli, Alessia Capoccia, Filippo Ruffini, Francesco Di Feola, Luca Boldrini, Arturo Chiti, Renato Cuocolo, Tugba Akinci D'Antonoli, Fatemeh Darvizeh, Marcello Di Pumpo, Bradley J. Erickson, Liu Fang, Deborah Fazzini, Paola Feraco, Fabrizia Gelardi, Francesco Gossetti, Ana Isabel Hernáiz Ferrer, Michail E. Klontzas, Seyedmehdi Payabvash, Katrine Riklund, Sara N. Strandberg, Valerio Guarrasi, Paolo Soda

CoRR, May, 2026

Virtual Scanning for NSCLC Histology: Investigating the Discriminatory Power of Synthetic PET.

Fatih Aksu, Laura Ciuffetti, Francesco Di Feola, Filippo Ruffini, Giulia Romoli, Fabrizia Gelardi, Arturo Chiti, Valerio Guarrasi, Paolo Soda

CoRR, May, 2026

Context-Gated Cross-Modal Perception with Visual MAMBA for PET-CT Lung Tumor Segmentation.

Elena Mulero Ayllon, Linlin Shen, Pierangelo Veltri, Fabrizia Gelardi, Arturo Chiti, Paolo Soda, Matteo Tortora

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025

Multi-stage intermediate fusion for multimodal learning to classify non-small cell lung cancer subtypes from CT and PET.

Fatih Aksu, Fabrizia Gelardi, Arturo Chiti, Paolo Soda

Pattern Recognit. Lett., 2025

NSCLC histological subtype classification from CT scans using generalist 3D medical foundation models.

Fatih Aksu, Fabrizia Gelardi, Arturo Chiti, Paolo Soda

Proceedings of the 13th IEEE International Conference on Healthcare Informatics, 2025

Transformer-Based Analysis for Detecting Pulmonary Nodules in CT Scans: Preliminary Results.

Martina De Salazar, Fatih Aksu, Raffaele Giancotti, Fabrizia Gelardi, Patrizia Vizza, Pietro Hiram Guzzi, Paolo Soda, Giuseppe Tradigo, Arturo Chiti, Pierangelo Veltri

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

2024

Enhancing NSCLC Histological Subtype Classification: A Federated Learning Approach Using Triplet Loss.

Fatih Aksu, Ermanno Cordelli, Fabrizia Gelardi, Arturo Chiti, Paolo Soda

Proceedings of the Pattern Recognition. ICPR 2024 International Workshops and Challenges, 2024

Toward a Multimodal Deep Learning Approach for Histological Subtype Classification in NSCLC.

Fatih Aksu, Fabrizia Gelardi, Arturo Chiti, Paolo Soda

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023

Early Experiences on using Triplet Networks for Histological Subtype Classification in Non-Small Cell Lung Cancer.

Fatih Aksu, Fabrizia Gelardi, Arturo Chiti, Paolo Soda

Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023