162 citations · 195 across the 11 of their papers we have counts for
Showing 2020Show all
2 papers · 1 filter
eess.IV2020★ 6 cited
Orientation-Disentangled Unsupervised Representation Learning for Computational Pathology
Maxime W. Lafarge, Josien P. W. Pluim, Mitko Veta
Unsupervised learning enables modeling complex images without the need for annotations. The representation learned by such models can facilitate any subsequent analysis of large im…
cs.CV2020
Roto-Translation Equivariant Convolutional Networks: Application to Histopathology Image Analysis
Maxime W. Lafarge, Erik J. Bekkers, Josien P. W. Pluim +2
Rotation-invariance is a desired property of machine-learning models for medical image analysis and in particular for computational pathology applications. We propose a framework t…