Sample Efficient Semantic Segmentation using Rotation Equivariant Convolutional Networks

Mitosis detection in breast cancer histology images with deep neural networks

Cireşan, Dan C et al · 2013

Earlier work this paper cites.

Adam: A method for stochastic optimization

Original

Kingma, Diederik P and Ba, Jimmy · 2014

Earlier work this paper cites.

Understanding image representations by measuring their equivariance and equivalence

Lenc, Karel and Vedaldi, Andrea · 2015

Earlier work this paper cites.

U-net: Convolutional networks for biomedical image segmentation

Ronneberger, Olaf et al · 2015

Earlier work this paper cites.

Group equivariant convolutional networks

Cohen, Taco and Welling, Max · 2016

Cited alongside, same era.

Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer

Bejnordi, Babak Ehteshami et al · 2017

Cited alongside, same era.

A survey on deep learning in medical image analysis

Litjens, Geert et al · 2017

Cited alongside, same era.

Detecting cancer metastases on gigapixel pathology images

Liu, Yun et al · 2017

Cited alongside, same era.

Learning steerable filters for rotation equivariant CNNs

Weiler, Maurice et al · 2017

Later among the works it cites.

Harmonic networks: Deep translation and rotation equivariance

Worrall, Daniel E et al · 2017

Later among the works it cites.

Rotation equivariant cnns for digital pathology

Veeling, Bas et al · 2018

Closest in time.