The full acceptance of Deep Learning (DL) models in the clinical field is rather low with
respect to the quantity of high-performing solutions reported in the literature. End users are …

Machine learning (ML) models used in prediction and classification tasks may display
performance disparities across population groups determined by sensitive attributes (eg …

Correctly assessing the malignancy of breast lesions identified during ultrasound
examinations is crucial for effective clinical decision-making. However, the current" golden …

Meconium-stained and vernix caseosa are two significant components found in amniotic
fluid, each serving distinct roles in fetal development. These components have potential to …

Amniotic Fluid (AF) is crucial for fetal development, and changes in its volume can signal
maternal and fetal health issues. This study focuses on the challenges of accurately …

This thesis provides a new perspective on uncertainty quantification by introducing
Conditional Density Methods (CDMs), a unified framework encompassing Conditional …

Machine learning promises transformative applications in medical image analysis. However,
the black-box nature of Deep Neural Networks and data sensitivity issues hinders their …

▶ Dr Heron Werner (DASA):“Given fetal MRI images, can we predict the amount of amniotic
fluid”? abnormal volume indicates pregnancy pathologies usual measurements are …