7 papers
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…
Best Practices for Machine Learning Experimentation in Scientific Applications
Umberto Michelucci, Francesca Venturini
Machine learning (ML) is increasingly adopted in scientific research, yet the quality and reliability of results often depend on how experiments are designed and documented. Poor b…
Barlow-Swin: Toward a novel siamese-based segmentation architecture using Swin-Transformers
Morteza Kiani Haftlang, Mohammadhossein Malmir, Foroutan Parand +2
Medical image segmentation is a critical task in clinical workflows, particularly for the detection and delineation of pathological regions. While convolutional architectures like…
VisioFirm: Cross-Platform AI-assisted Annotation Tool for Computer Vision
Safouane El Ghazouali, Umberto Michelucci
AI models rely on annotated data to learn pattern and perform prediction. Annotation is usually a labor-intensive step that require associating labels ranging from a simple classif…
New Statistical Framework for Extreme Error Probability in High-Stakes Domains for Reliable Machine Learning
Umberto Michelucci, Francesca Venturini
Machine learning is vital in high-stakes domains, yet conventional validation methods rely on averaging metrics like mean squared error (MSE) or mean absolute error (MAE), which fa…
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…