3 papers
cs.CV2026
Beyond Performance Metrics: Uncertainty Mapping of Label Ambiguity in Fazekas Score Prediction
Susanne Schmid, Johanna Ospel, Richard Frayne +1
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 th…
cs.CV2025
Enhancing and Accelerating Brain MRI through Deep Learning Reconstruction Using Prior Subject-Specific Imaging
Amirmohammad Shamaei, Alexander Stebner, Salome +5
Magnetic resonance imaging (MRI) is a crucial medical imaging modality. However, long acquisition times remain a significant challenge, leading to increased costs, and reduced pati…
cs.CV2023
A voxel-level approach to brain age prediction: A method to assess regional brain aging
Neha Gianchandani, Mahsa Dibaji, Johanna Ospel +4
Brain aging is a regional phenomenon, a facet that remains relatively under-explored within the realm of brain age prediction research using machine learning methods. Voxel-level p…