Fetching the paper…
Reading the bibliography…
Rotation-invariance is a desired property of machine-learning models for medical image analysis and in particular for computational pathology applications.
Perceptual organization in image analysis
R. Duits · 2005
Earlier work this paper cites.
A log-euclidean framework for statistics on diffeomorphisms
V. Arsigny, O. Commowick, X. Pennec, and N. Ayache · 2006
Earlier work this paper cites.
A fast diffeomorphic image registration algorithm
J. Ashburner · 2007
Earlier work this paper cites.
Image analysis and reconstruction using a wavelet transform constructed from a reducible representation of the Euclidean motion group
R. Duits, M. Felsberg, G. Granlund, and B. ter Haar Romeny · 2007
Earlier work this paper cites.
Crossing-preserving coherence-enhancing diffusion on invertible orientation scores
E. Franken and R. Duits · 2009
Earlier work this paper cites.
A method for normalizing histology slides for quantitative analysis
M. Macenko, M. Niethammer, J. Marron, D. Borland, J. T. Woosley, X. Guan, C. Schmitt, and N. E. Thomas · 2009
Earlier work this paper cites.
Left-invariant diffusions on the space of positions and orientations and their application to crossing-preserving smoothing of HARDI images
R. Duits and E. Franken · 2011
Earlier work this paper cites.
Group invariant scattering
S. Mallat · 2012
Earlier work this paper cites.
Comprehensive molecular portraits of human breast tumours
C. G. A. Network et al · 2012
Earlier work this paper cites.
Mitosis detection in breast cancer histology images with deep neural networks
D. C. Cireşan, A. Giusti, et al · 2013
Earlier work this paper cites.
Deep symmetry networks
R. Gens and P. M. Domingos · 2014
Earlier work this paper cites.
Crossing-Preserving Multi-scale Vesselness
J. Hannink, R. Duits, and E. J. Bekkers · 2014
Earlier work this paper cites.
Training of Templates for Object Recognition in Invertible Orientation Scores: Application to Optic Nerve Head Detection in Retinal Images
E. J. Bekkers, R. Duits, and M. Loog · 2015
Earlier work this paper cites.
A liver atlas using the special euclidean group
M. S. Hefny, T. Okada, M. Hori, Y. Sato, and R. E. Ellis · 2015
Earlier work this paper cites.
Batch normalization: Accelerating deep network training by reducing internal covariate shift
S. Ioffe and C. Szegedy · 2015
Earlier work this paper cites.
Spatial transformer networks
M. Jaderberg, K. Simonyan, A. Zisserman, and others · 2015
Earlier work this paper cites.
Improving fiber alignment in HARDI by combining contextual PDE flow with constrained spherical deconvolution
J. M. Portegies, R. H. J. Fick, G. R. Sanguinetti, S. P. Meesters, G. Girard, and R. Duits · 2015
Earlier work this paper cites.
U-net: Convolutional networks for biomedical image segmentation
O. Ronneberger, P. Fischer, and T. Brox · 2015
Cited alongside, same era.
Assessment of algorithms for mitosis detection in breast cancer histopathology images
M. Veta, P. van Diest, S. Willems, et al · 2015
Cited alongside, same era.
Robust and Fast Vessel Segmentation via Gaussian Derivatives in Orientation Scores
J. Zhang, E. J. Bekkers, S. Abbasi-Sureshjani, B. Dashtbozorg, and B. M. ter Haar Romeny · 2015
Cited alongside, same era.
Group equivariant convolutional networks
T. Cohen and M. Welling · 2016
Cited alongside, same era.
Exploiting cyclic symmetry in convolutional neural networks
S. Dieleman, J. De Fauw, and K. Kavukcuoglu · 2016
Cited alongside, same era.
Locally Adaptive Frames in the Roto-Translation Group and Their Applications in Medical Imaging
On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups
R. Kondor and S. Trivedi · 2018
Later among the works it cites.
Deeply supervised rotation equivariant network for lesion segmentation in dermoscopy images
X. Li, L. Yu, C.-W. Fu, and P.-A. Heng · 2018
Later among the works it cites.
Tensor Field Networks: Rotation-and Translation-Equivariant Neural Networks for 3d Point Clouds
N. Thomas, T. Smidt, S. Kearnes, L. Yang, L. Li, K. Kohlhoff, and P. Riley · 2018
Later among the works it cites.
Rotation equivariant cnns for digital pathology
B. S. Veeling, J. Linmans, J. Winkens, T. Cohen, and M. Welling · 2018
Later among the works it cites.
3d steerable cnns: Learning rotationally equivariant features in volumetric data
M. Weiler, M. Geiger, M. Welling, W. Boomsma, and T. Cohen · 2018
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
R. Duits, M. H. J. Janssen, J. Hannink, and G. R. Sanguinetti · 2016
Cited alongside, same era.
Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer
B. Ehteshami Bejnordi, M. Veta, P. Johannes van Diest, B. van Ginneken, N. Karssemeijer, G. Litjens, J. A. W. M. van der Laak, , and the CAMELYON16 Consortium · 2017
Cited alongside, same era.
Warped convolutions: Efficient invariance to spatial transformations
J. F. Henriques and A. Vedaldi · 2017
Cited alongside, same era.
A dataset and a technique for generalized nuclear segmentation for computational pathology
N. Kumar, R. Verma, S. Sharma, S. Bhargava, A. Vahadane, and A. Sethi · 2017
Cited alongside, same era.
Rotation Equivariant Vector Field Networks
D. Marcos, M. Volpi, N. Komodakis, and D. Tuia · 2017
Cited alongside, same era.
Learning steerable filters for rotation equivariant cnns
M. Weiler, F. A. Hamprecht, and M. Storath · 2017
Cited alongside, same era.
Harmonic networks: Deep translation and rotation equivariance
D. E. Worrall, S. J. Garbin, D. Turmukhambetov, and G. J. Brostow · 2017
Cited alongside, same era.
3d g-cnns for pulmonary nodule detection
M. Winkels and T. S. Cohen · 2018
Later among the works it cites.
Cubenet: Equivariance to 3d rotation and translation
D. Worrall and G. Brostow · 2018
Later among the works it cites.
Exploring local rotation invariance in 3d cnns with steerable filters
V. Andrearczyk, J. Fageot, V. Oreiller, X. Montet, and A. Depeursinge · 2019
Later among the works it cites.
E. J. Bekkers · 2019
Later among the works it cites.
Gauge equivariant convolutional networks and the icosahedral cnn
T. S. Cohen, M. Weiler, B. Kicanaoglu, and M. Welling · 2019
Later among the works it cites.
Rota-net: Rotation equivariant network for simultaneous gland and lumen segmentation in colon histology images
S. Graham, D. Epstein, and N. Rajpoot · 2019
Later among the works it cites.
Learning domain-invariant representations of histological images
M. Lafarge, J. Pluim, K. Eppenhof, and M. Veta · 2019
Later among the works it cites.
Riemannian Geometric Statistics in Medical Image Analysis
X. Pennec, S. Sommer, and T. Fletcher · 2019
Later among the works it cites.
Equivariant Transformer Networks
K. S. Tai, P. Bailis, and G. Valiant · 2019
Later among the works it cites.
Pulmonary nodule detection in ct scans with equivariant cnns
M. Winkels and T. S. Cohen · 2019
Later among the works it cites.
Deep Scale-spaces: Equivariance Over Scale
D. E. Worrall and M. Welling · 2019
Later among the works it cites.