5 citations · 5 across the 5 of their papers we have counts for
5 papers
Visionerves: Automatic and Reproducible Hybrid AI for Peripheral Nervous System Recognition Applied to Endometriosis Cases
Giammarco La Barbera, Enzo Bonnot, Thomas Isla +10
Endometriosis often leads to chronic pelvic pain and possible nerve involvement, yet imaging the peripheral nerves remains a challenge. We introduce Visionerves, a novel hybrid AI…
First Order Logic with Fuzzy Semantics for Describing and Recognizing Nerves in Medical Images
Isabelle Bloch, Enzo Bonnot, Pietro Gori +2
This article deals with the description and recognition of fiber bundles, in particular nerves, in medical images, based on the anatomical description of the fiber trajectories. To…
Anatomically constrained CT image translation for heterogeneous blood vessel segmentation
Giammarco La Barbera, Haithem Boussaid, Francesco Maso +4
Anatomical structures such as blood vessels in contrast-enhanced CT (ceCT) images can be challenging to segment due to the variability in contrast medium diffusion. The combined us…
Automatic size and pose homogenization with spatial transformer network to improve and accelerate pediatric segmentation
Giammarco La Barbera, Pietro Gori, Haithem Boussaid +6
Due to a high heterogeneity in pose and size and to a limited number of available data, segmentation of pediatric images is challenging for deep learning methods. In this work, we…
Knowledge distillation from multi-modal to mono-modal segmentation networks
Minhao Hu, Matthis Maillard, Ya Zhang +4
The joint use of multiple imaging modalities for medical image segmentation has been widely studied in recent years. The fusion of information from different modalities has demonst…