61 citations · 102 across the 14 of their papers we have counts for
4 papers · 1 filter
US \& MRI Image Fusion Based on Markerless Skin Registration
Martina Paccini, Giacomo Paschina, Stefano De Beni +3
This paper presents an innovative automatic fusion imaging system that combines 3D CT/MR images with real-time ultrasound (US) acquisition. The system eliminates the need for exter…
3D Patient-specific Modelling and Characterisation of Muscle-Skeletal Districts
Martina Paccini, Giuseppe Patanè, Michela Spagnuolo
This work addresses the patient-specific characterisation of the morphology and pathologies of muscle-skeletal districts (e.g., wrist, spine) to support diagnostic activities and f…
Learning-based Framework for US Signals Super-resolution
Simone Cammarasana, Paolo Nicolardi, Giuseppe Patanè
We propose a novel deep-learning framework for super-resolution ultrasound images and videos in terms of spatial resolution and line reconstruction. We up-sample the acquired low-r…
SceneAdapt: Scene-based domain adaptation for semantic segmentation using adversarial learning
Daniele Di Mauro, Antonino Furnari, Giuseppe Patanè +2
Semantic segmentation methods have achieved outstanding performance thanks to deep learning. Nevertheless, when such algorithms are deployed to new contexts not seen during trainin…