Author

Roberto Souza

3 papers indexed here

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Oct 2026

Addressing inefficiencies in brain magnetic resonance imaging workflows with artificial intelligence

Brain magnetic resonance imaging (MRI) is currently constrained by long scan times, limiting patient throughput and accessibility. Artificial Intelligence (AI) models have shown promise to make scans faster, therefore increasing patient throughput. However, simply increasing scan volume creates a secondary bottleneck:...

Susanne Schmid, Roberto Souza · Emerging Topics in Artificia... · 0 citations

Review Sep 2026

Beyond Performance Metrics: Uncertainty Mapping of Label Ambiguity in Fazekas Score Prediction

Reference labels used to train medical image classification models are not always as certain as they may appear, and this uncertainty has implications on performance metrics. In this study, we propose a framework to analyze model performance for periventricular Fazekas score prediction that goes beyond conventional met...

Susanne Schmid, Johanna Ospel, Richard Frayne et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Combining General and Domain-Specific Pretext Tasks for Brain MR Image Segmentation

A key challenge in medical image analysis is the scarcity of large annotated datasets for specific populations and diseases. As deep learning models rely heavily on labeled data, effective transfer learning strategies are needed to reduce the dependence on manual annotations. Self-supervised learning has emerged as a p...

Tasneem Nasser, Susanne Schmid, Roberto Souza et al. · 0 citations