[HTML][HTML] Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis
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 …
respect to the quantity of high-performing solutions reported in the literature. End users are …
Class and region-adaptive constraints for network calibration
In this work, we present a novel approach to calibrate segmentation networks that considers
the inherent challenges posed by different categories and object regions. In particular, we …
the inherent challenges posed by different categories and object regions. In particular, we …
Consistency Regularization Improves Placenta Segmentation in Fetal EPI MRI Time Series
The placenta plays a crucial role in fetal development. Automated 3D placenta segmentation
from fetal EPI MRI holds promise for advancing prenatal care. This paper proposes an …
from fetal EPI MRI holds promise for advancing prenatal care. This paper proposes an …