H
Hugo Rositi
Researcher at University of Auvergne
Publications - 17
Citations - 208
Hugo Rositi is an academic researcher from University of Auvergne. The author has contributed to research in topics: Diffusion MRI & Human brain. The author has an hindex of 7, co-authored 15 publications receiving 148 citations. Previous affiliations of Hugo Rositi include University of Lyon & Institut national des sciences Appliquées de Lyon.
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Journal ArticleDOI
Fast virtual histology using X-ray in-line phase tomography: application to the 3D anatomy of maize developing seeds
David Rousseau,Thomas Widiez,Sylvaine Di Tommaso,Hugo Rositi,Jérôme Adrien,Eric Maire,Max Langer,Cécile Olivier,Françoise Peyrin,Peter M. Rogowsky +9 more
TL;DR: This work constitutes an innovative quantitative use of X-ray in-line phase tomography as a non-destructive fast method to perform virtual histology and extends the developmental stages accessible by this technique which had previously been applied in seed biology to more mature samples.
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Synchrotron Radiation X-Ray Phase Micro-computed Tomography as a New Method to Detect Iron Oxide Nanoparticles in the Brain
M. Marinescu,M. Marinescu,Max Langer,A. Durand,Cécile Olivier,A. Chabrol,Hugo Rositi,Fabien Chauveau,T.-H. Cho,T.-H. Cho,Norbert Nighoghossian,Norbert Nighoghossian,Yves Berthezène,Yves Berthezène,Françoise Peyrin,Marlène Wiart,Marlène Wiart +16 more
TL;DR: SR-PCT proved sensitive enough to detect iron in nanomolar quantities and showed hyperintense areas in the regions of MR signal loss and immunostaining for macrophages in stroke-induced animals.
Journal ArticleDOI
Automatic segmentation methods for liver and hepatic vessels from CT and MRI volumes, applied to the Couinaud scheme.
Marie-Ange Lebre,Antoine Vacavant,Manuel Grand-Brochier,Hugo Rositi,Armand Abergel,Pascal Chabrot,Benoît Magnin +6 more
TL;DR: This work proposes a model-based liver segmentation, then a vascular segmentation based on a skeleton process, and finally, the construction of the eight independent liver segments that automatically reconstruct 3-D volumes of the liver and its vessels on MRI and CT scans.
Journal ArticleDOI
Computer vision tools to optimize reconstruction parameters in x-ray in-line phase tomography
Hugo Rositi,Carole Frindel,Marlène Wiart,Max Langer,Cécile Olivier,Françoise Peyrin,David Rousseau +6 more
TL;DR: A set of three computer vision tools, including scale invariant feature transform (SIFT), a measure of focus, and a measure based on tractography are demonstrated to be useful in replacing the eye of the expert in the optimization of the reconstruction parameters in x-ray in-line phase tomography.
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Information-based analysis of X-ray in-line phase tomography with application to the detection of iron oxide nanoparticles in the brain
Hugo Rositi,Carole Frindel,Max Langer,Marlène Wiart,Cécile Olivier,Françoise Peyrin,David Rousseau +6 more
TL;DR: Noise in X-ray in-line phase tomography in a biomedical context is analyzed and the impact of noise on detection of iron oxide nanoparticles in mouse brain is assessed using a Neyman Pearson detection strategy with two models of noise.