22 citations · 83 across the 21 of their papers we have counts for
21 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…
CSIM: A Copula-based similarity index sensitive to local changes for Image quality assessment
Safouane El Ghazouali, Umberto Michelucci, Yassin El Hillali +1
Image similarity metrics play an important role in computer vision applications, as they are used in image processing, computer vision and machine learning. Furthermore, those metr…