activity
20212026
most citedMulti-stage intermediate fusion for multimodal learning to classify non-small cell lung cancer subtypes from CT and PET

13 citations · 18 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Cross Modality Image Translation In Medical Imaging Using Generative Frameworks

Giulia Romoli, Alessia Capoccia, Filippo Ruffini +20

Magnetic Resonance Imaging (MRI), Computed Tomography (CT), and Positron Emission Tomography (PET) provide complementary information about tissues. Medical image-to-image (I2I) tra…

cs.CV2026

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

Fatih Aksu, Laura Ciuffetti, Francesco Di Feola +6

Accurate histological differentiation between adenocarcinoma (ADC) and squamous cell carcinoma (SCC) is critical for personalized treatment in non-small cell lung cancer (NSCLC). W…

cs.CV2025

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

Elena Mulero Ayllón, Linlin Shen, Pierangelo Veltri +4

Accurate lung tumor segmentation is vital for improving diagnosis and treatment planning, and effectively combining anatomical and functional information from PET and CT remains a…

eess.IV2025★ 13 cited

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 +1

Accurate classification of histological subtypes of non-small cell lung cancer (NSCLC) is essential in the era of precision medicine, yet current invasive techniques are not always…

eess.IV2021★ 5 cited

Chest X-Rays Image Classification from beta-Variational Autoencoders Latent Features

Leonardo Crespi, Daniele Loiacono, Arturo Chiti

Chest X-Ray (CXR) is one of the most common diagnostic techniques used in everyday clinical practice all around the world. We hereby present a work which intends to investigate and…