23 citations · 71 across the 22 of their papers we have counts for
4 papers · 1 filter
Direct Classification of Type 2 Diabetes From Retinal Fundus Images in a Population-based Sample From The Maastricht Study
Friso G. Heslinga, Josien P. W. Pluim, A. J. H. M. Houben +6
Type 2 Diabetes (T2D) is a chronic metabolic disorder that can lead to blindness and cardiovascular disease. Information about early stage T2D might be present in retinal fundus im…
Deep learning assessment of breast terminal duct lobular unit involution: towards automated prediction of breast cancer risk
Suzanne C Wetstein, Allison M Onken, Christina Luffman +13
Terminal ductal lobular unit (TDLU) involution is the regression of milk-producing structures in the breast. Women with less TDLU involution are more likely to develop breast cance…
Intensity augmentation for domain transfer of whole breast segmentation in MRI
Linde S. Hesse, Grey Kuling, Mitko Veta +1
The segmentation of the breast from the chest wall is an important first step in the analysis of breast magnetic resonance images. 3D U-nets have been shown to obtain high segmenta…
Deep learning-based prediction of kinetic parameters from myocardial perfusion MRI
Cian M. Scannell, Piet van den Bosch, Amedeo Chiribiri +3
The quantification of myocardial perfusion MRI has the potential to provide a fast, automated and user-independent assessment of myocardial ischaemia. However, due to the relativel…