2 papers
cs.CV2026
Vision Foundation Models in Radiology: A Scoping Review of Data, Methodology, Evaluation and Clinical Translation
Alejandro Vergara-Richart, Xavier Rafael-Palou, Almudena Fuster-Matanzo +3
Vision foundation models (VFMs) are increasingly being developed for radiological imaging, yet their definition, development and evaluation remain heterogeneous. We conducted a PRI…
cs.LG2026
Automated Machine Learning in Radiomics: A Comparative Evaluation of Performance, Efficiency and Accessibility
Jose Lozano-Montoya, Emilio Soria-Olivas, Almudena Fuster-Matanzo +2
Automated machine learning (AutoML) frameworks can lower technical barriers for predictive and prognostic model development in radiomics by enabling researchers without programming…