22 citations · 24 across the 6 of their papers we have counts for
4 papers · 1 filter
Comparison of different segmentation algorithms on brain volume and fractal dimension in infant brain MRIs
Nathalie Alexander, Arnaud Gucciardi, Umberto Michelucci
Accurate segmentation of infant brain MRI is essential for quantifying developmental changes in structure and complexity. However, ongoing myelination and reduced tissue contrast m…
Class-Conditional self-reward mechanism for improved Text-to-Image models
Safouane El Ghazouali, Arnaud Gucciardi, Umberto Michelucci
Self-rewarding have emerged recently as a powerful tool in the field of Natural Language Processing (NLP), allowing language models to generate high-quality relevant responses by p…
FlightScope: An Experimental Comparative Review of Aircraft Detection Algorithms in Satellite Imagery
Safouane El Ghazouali, Arnaud Gucciardi, Francesca Venturini +3
Object detection in remotely sensed satellite pictures is fundamental in many fields such as biophysical, and environmental monitoring. While deep learning algorithms are constantl…
Symbrain: A large-scale dataset of MRI images for neonatal brain symmetry analysis
Arnaud Gucciardi, Safouane El Ghazouali, Francesca Venturini +2
This paper presents an annotated dataset of brain MRI images designed to advance the field of brain symmetry study. Magnetic resonance imaging (MRI) has gained interest in analyzin…