14 citations · 14 across the 1 of their papers we have counts for
2 papers
cs.CV2020★ 14 cited
Handling confounding variables in statistical shape analysis -- application to cardiac remodelling
Gabriel Bernardino, Oualid Benkarim, María Sanz-de la Garza +7
Statistical shape analysis is a powerful tool to assess organ morphologies and find shape changes associated to a particular disease. However, imbalance in confounding factors, suc…
stat.AP2019
Decision Tree Learning for Uncertain Clinical Measurements
Cecília Nunes, Hélène Langet, Mathieu De Craene +3
Clinical decision requires reasoning in the presence of imperfect data. DTs are a well-known decision support tool, owing to their interpretability, fundamental in safety-critical…