36 citations · 52 across the 10 of their papers we have counts for
3 papers · 1 filter
Hypernet-Ensemble Learning of Segmentation Probability for Medical Image Segmentation with Ambiguous Labels
Sungmin Hong, Anna K. Bonkhoff, Andrew Hoopes +6
Despite the superior performance of Deep Learning (DL) on numerous segmentation tasks, the DL-based approaches are notoriously overconfident about their prediction with highly pola…
Patient-specific Conditional Joint Models of Shape, Image Features and Clinical Indicators
Bernhard Egger, Markus D. Schirmer, Florian Dubost +3
We propose and demonstrate a joint model of anatomical shapes, image features and clinical indicators for statistical shape modeling and medical image analysis. The key idea is to…
Multi-atlas image registration of clinical data with automated quality assessment using ventricle segmentation
Florian Dubost, Marleen de Bruijne, Marco Nardin +10
Registration is a core component of many imaging pipelines. In case of clinical scans, with lower resolution and sometimes substantial motion artifacts, registration can produce po…