ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1806.03962
  4. Cited By
Rotation Equivariant CNNs for Digital Pathology

Rotation Equivariant CNNs for Digital Pathology

8 June 2018
Bastiaan S. Veeling
J. Linmans
Jim Winkens
Taco S. Cohen
Max Welling
ArXivPDFHTML

Papers citing "Rotation Equivariant CNNs for Digital Pathology"

19 / 119 papers shown
Title
Self supervised contrastive learning for digital histopathology
Self supervised contrastive learning for digital histopathology
Ozan Ciga
Tony Xu
Anne L. Martel
SSL
114
306
0
27 Nov 2020
Synthetic Sample Selection via Reinforcement Learning
Synthetic Sample Selection via Reinforcement Learning
Jiarong Ye
Yuan Xue
L. R. Long
Sameer Kiran Antani
Z. Xue
K. Cheng
Xiaolei Huang
MedIm
18
24
0
26 Aug 2020
On Robustness and Transferability of Convolutional Neural Networks
On Robustness and Transferability of Convolutional Neural Networks
Josip Djolonga
Jessica Yung
Michael Tschannen
Rob Romijnders
Lucas Beyer
...
D. Moldovan
Sylvain Gelly
N. Houlsby
Xiaohua Zhai
Mario Lucic
OOD
13
154
0
16 Jul 2020
A Benchmark of Medical Out of Distribution Detection
A Benchmark of Medical Out of Distribution Detection
Tianshi Cao
Chinwei Huang
D. Y. Hui
Joseph Paul Cohen
OOD
24
58
0
08 Jul 2020
Evolved Explainable Classifications for Lymph Node Metastases
Evolved Explainable Classifications for Lymph Node Metastases
Iam Palatnik de Sousa
M. Vellasco
E. C. Silva
19
6
0
14 May 2020
Tensor Networks for Medical Image Classification
Tensor Networks for Medical Image Classification
Raghavendra Selvan
Erik Dam
23
37
0
21 Apr 2020
Weakly supervised multiple instance learning histopathological tumor
  segmentation
Weakly supervised multiple instance learning histopathological tumor segmentation
Marvin Lerousseau
Maria Vakalopoulou
Marion Classe
J. Adam
Enzo Battistella
Alexandre Carré
Théo Estienne
T. Henry
Eric Deutsch
Nikos Paragios
19
92
0
10 Apr 2020
Dense Steerable Filter CNNs for Exploiting Rotational Symmetry in
  Histology Images
Dense Steerable Filter CNNs for Exploiting Rotational Symmetry in Histology Images
S. Graham
David B. A. Epstein
Nasir M. Rajpoot
24
87
0
06 Apr 2020
Roto-Translation Equivariant Convolutional Networks: Application to
  Histopathology Image Analysis
Roto-Translation Equivariant Convolutional Networks: Application to Histopathology Image Analysis
Maxime W. Lafarge
Erik J. Bekkers
J. Pluim
R. Duits
M. Veta
MedIm
27
74
0
20 Feb 2020
Attentive Group Equivariant Convolutional Networks
Attentive Group Equivariant Convolutional Networks
David W. Romero
Erik J. Bekkers
Jakub M. Tomczak
Mark Hoogendoorn
22
90
0
07 Feb 2020
Semi-Supervised Histology Classification using Deep Multiple Instance
  Learning and Contrastive Predictive Coding
Semi-Supervised Histology Classification using Deep Multiple Instance Learning and Contrastive Predictive Coding
Ming Y. Lu
Richard J. Chen
Jingwen Wang
Debora Dillon
Faisal Mahmood
SSL
22
94
0
23 Oct 2019
B-Spline CNNs on Lie Groups
B-Spline CNNs on Lie Groups
Erik J. Bekkers
AI4CE
35
129
0
26 Sep 2019
Classification of Histopathological Biopsy Images Using Ensemble of Deep
  Learning Networks
Classification of Histopathological Biopsy Images Using Ensemble of Deep Learning Networks
Sara Hosseinzadeh Kassani
P. H. Kassani
M. Wesolowski
Kevin A. Schneider
Ralph Deters
OOD
55
106
0
26 Sep 2019
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for
  Medical Image Segmentation
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation
Nima Tajbakhsh
Laura Jeyaseelan
Q. Li
J. Chiang
Zhihao Wu
Xiaowei Ding
33
751
0
27 Aug 2019
Semi-Supervised Learning for Cancer Detection of Lymph Node Metastases
Semi-Supervised Learning for Cancer Detection of Lymph Node Metastases
Amit Kumar Jaiswal
Ivan Panshin
D. Shulkin
Nagender Aneja
Samuel Abramov
SSL
MedIm
23
23
0
23 Jun 2019
Non-Parametric Calibration for Classification
Non-Parametric Calibration for Classification
Jonathan Wenger
Hedvig Kjellström
Rudolph Triebel
UQCV
45
79
0
12 Jun 2019
Deep Scale-spaces: Equivariance Over Scale
Deep Scale-spaces: Equivariance Over Scale
Daniel E. Worrall
Max Welling
BDL
15
166
0
28 May 2019
Gauge Equivariant Convolutional Networks and the Icosahedral CNN
Gauge Equivariant Convolutional Networks and the Icosahedral CNN
Taco S. Cohen
Maurice Weiler
Berkay Kicanaoglu
Max Welling
61
404
0
11 Feb 2019
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
337
10,633
0
19 Feb 2017
Previous
123