activity
20222026
most citedA large-scale multicenter breast cancer DCE-MRI benchmark dataset with expert segmentations

50 citations · 50 across the 5 of their papers we have counts for

collaborators

5 papers

physics.ins-det2026

Toward High-Resolution Detection of Target Fragmentation: TEA-Sensitized NIT for Proton Therapy Applications

V. Boccia, T. Asada, A. Alexandrov +96

Nano Imaging Trackers (NIT) are fine-grained nuclear emulsions capable of tracking charged particles with sub-micrometric spatial resolution. The DAMON (Direct Measurement of Targe…

nucl-ex2026

Measurement of 80-200 MeV/n O nuclear cross-section on Carbon and Polyethylene targets with the nuclear emulsion detector of the FOOT experiment

FOOT Collaboration, Giuliana Galati, Vincenzo Boccia +93

Accurate knowledge of nuclear fragmentation cross-sections is essential for optimizing charged particle therapy. In this study, conducted within the framework of the FOOT (Fragment…

nucl-ex2025

Angular differential and elemental fragmentation cross sections of a beam on a graphite target with the FOOT experiment

FOOT Collaboration, R. Ridolfi, M. Toppi +88

This paper presents the measurements of the angular differential cross sections for the forward production of He, Li, Be, B, C and N nuclei in the fragmentation process of a 400$\t…

cs.CV2024★ 50 cited

A large-scale multicenter breast cancer DCE-MRI benchmark dataset with expert segmentations

Lidia Garrucho, Kaisar Kushibar, Claire-Anne Reidel +30

Artificial Intelligence (AI) research in breast cancer Magnetic Resonance Imaging (MRI) faces challenges due to limited expert-labeled segmentations. To address this, we present a…

physics.ins-det2022

CMOS pixel sensors optimized for large ionizing dynamic

W. Ren, J. Baudot, L. Federici +9

Monolithic active pixel sensors (MAPS) are now well established as a technology for tracking charged particles, especially when low material budget is desirable. For such applicati…