8 citations · 14 across the 3 of their papers we have counts for
3 papers
Deep Anatomical Federated Network (Dafne): An open client-server framework for the continuous, collaborative improvement of deep learning-based medical image segmentation
Francesco Santini, Jakob Wasserthal, Abramo Agosti +11
Purpose: To present and evaluate Dafne (deep anatomical federated network), a freely available decentralized, collaborative deep learning system for the semantic segmentation of ra…
MRI lung lobe segmentation in pediatric cystic fibrosis patients using a recurrent neural network trained with publicly accessible CT datasets
Orso Pusterla, Rahel Heule, Francesco Santini +8
Purpose: To introduce a widely applicable workflow for pulmonary lobe segmentation of MR images using a recurrent neural network (RNN) trained with chest computed tomography (CT) d…
Dynamic MR imaging of the skeletal muscle in young and senior volunteers during minimal synchronized neuromuscular electrical stimulation
Xeni Deligianni, Christopher Klenk, Nicolas Place +6
Neuromuscular electrical stimulation (NMES)-induced isometric contraction is feasible during MRI and can be combined with acquisition of volumetric dynamic MR dat…