112 citations · 411 across the 40 of their papers we have counts for
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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…
cs.LG2020★ 62 cited
PDE-based Group Equivariant Convolutional Neural Networks
Bart Smets, Jim Portegies, Erik Bekkers +1
We present a PDE-based framework that generalizes Group equivariant Convolutional Neural Networks (G-CNNs). In this framework, a network layer is seen as a set of PDE-solvers where…