works on

From the 1 of 6 linked papers with an AI index.

collaborators

6 papers

cs.LG2026

Energy-Efficient Federated Learning via Adaptive Encoder Freezing for MRI-to-CT Conversion: A Green AI-Guided Research

Ciro Benito Raggio, Lucia Migliorelli, Nils Skupien +6

The paper proposes an adaptive encoder‑freezing technique for federated learning that reduces energy use and CO2 emissions while preserving MRI‑to‑CT conversion quality.

cs.CV2026

Evidence-Based Text-Conditioned 3D CT Synthesis for Ovarian Cancer

Francesca Pia Panaccione, Eugenio Lomurno, Francesca Fati +11

Ovarian cancer is frequently diagnosed at an advanced stage, making preoperative contrast-enhanced computed tomography (CT) central to staging and surgical planning; yet the scarci…

cs.CV2026

Vision Transformers for Preoperative CT-Based Prediction of Histopathologic Chemotherapy Response Score in High-Grade Serous Ovarian Carcinoma

Francesca Fati, Felipe Coutinho, Marika Reinius +25

Purpose. High-grade serous ovarian carcinoma (HGSOC) is characterized by pronounced biological and spatial heterogeneity and is frequently diagnosed at an advanced stage. Neoadjuva…

physics.acc-ph2025

Dual-energy extraction for proton therapy and imaging: validation on a clinical synchrotron-based facility

Alexander A. Pryanichnikov, Dmitry Shwartz, Jon Feldmand +2

The purpose of this study was to investigate the feasibility of extracting proton beams with two distinct energies within a single synchrotron cycle. The energy difference between…

physics.med-ph2025

A Privacy-Preserving Federated Learning Framework for Generalizable CBCT to Synthetic CT Translation in Head and Neck

Ciro Benito Raggio, Paolo Zaffino, Maria Francesca Spadea

Shortened Abstract Cone-beam computed tomography (CBCT) has become a widely adopted modality for image-guided radiotherapy (IGRT). However, CBCT suffers from increased noise, limit…

eess.IV2025

FedSynthCT-Brain: A Federated Learning Framework for Multi-Institutional Brain MRI-to-CT Synthesis

Ciro Benito Raggio, Mathias Krohmer Zabaleta, Nils Skupien +6

The generation of Synthetic Computed Tomography (sCT) images has become a pivotal methodology in modern clinical practice, particularly in the context of Radiotherapy (RT) treatmen…