Automatic size and pose homogenization with spatial transformer network to improve and accelerate pediatric segmentation

no code implementations • 6 Jul 2021 • Giammarco La Barbera, Pietro Gori, Haithem Boussaid, Bruno Belucci, Alessandro Delmonte, Jeanne Goulin, Sabine Sarnacki, Laurence Rouet, Isabelle Bloch

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.

Data Augmentation Segmentation +1

Anatomically constrained CT image translation for heterogeneous blood vessel segmentation

no code implementations • 4 Oct 2022 • Giammarco La Barbera, Haithem Boussaid, Francesco Maso, Sabine Sarnacki, Laurence Rouet, Pietro Gori, Isabelle Bloch

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.

Translation