Publications by authors named "Guillaume Dolle"
Magnetic resonance imaging (MRI) is a powerful tool for observing and assessing the properties of brain tissue and structures. In particular, in the context of neonatal care, MR images can be used to analyze neurodevelopmental problems that may arise in premature newborns. However, the intrinsic properties of newborn MR images, combined with the high variability of MR acquisition in a clinical setting, result in complex and heterogeneous images.
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- The study addresses the challenge of low anisotropic resolution in neonatal brain MRI analysis by proposing a method that combines high-resolution reconstruction and image segmentation simultaneously using generative adversarial networks.
- The paper details the architecture and implementation of the network, with additional resources available on GitHub, and demonstrates its effectiveness in analyzing cortical structures from neonatal MR images.
- The results show strong performance metrics and usability for medical applications, with the software being freely available for anyone to use on their own MR image datasets.
Metastatic seeding is driven by cell-intrinsic and environmental cues, yet the contribution of biomechanics is poorly known. We aim to elucidate the impact of blood flow on the arrest and the extravasation of circulating tumor cells (CTCs) in vivo. Using the zebrafish embryo, we show that arrest of CTCs occurs in vessels with favorable flow profiles where flow forces control the adhesion efficacy of CTCs to the endothelium.
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