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. 1706.08124
  4. Cited By
Scalable multimodal convolutional networks for brain tumour segmentation

Scalable multimodal convolutional networks for brain tumour segmentation

25 June 2017
Lucas Fidon
Wenqi Li
Luis C. Garcia-Peraza-Herrera
J. Ekanayake
N. Kitchen
Sebastien Ourselin
Tom Vercauteren
ArXiv (abs)PDFHTML

Papers citing "Scalable multimodal convolutional networks for brain tumour segmentation"

8 / 8 papers shown
Title
On the Compactness, Efficiency, and Representation of 3D Convolutional
  Networks: Brain Parcellation as a Pretext Task
On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext Task
Wenqi Li
Guotai Wang
Lucas Fidon
Sebastien Ourselin
M. Jorge Cardoso
Tom Vercauteren
3DV
100
339
0
06 Jul 2017
HeMIS: Hetero-Modal Image Segmentation
HeMIS: Hetero-Modal Image Segmentation
Mohammad Havaei
N. Guizard
Nicolas Chapados
Yoshua Bengio
MedIm
68
270
0
18 Jul 2016
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image
  Segmentation
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
Fausto Milletari
Nassir Navab
Seyed-Ahmad Ahmadi
240
8,716
0
15 Jun 2016
Deep Roots: Improving CNN Efficiency with Hierarchical Filter Groups
Deep Roots: Improving CNN Efficiency with Hierarchical Filter Groups
Yani Andrew Ioannou
D. Robertson
R. Cipolla
A. Criminisi
80
265
0
20 May 2016
Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain
  Lesion Segmentation
Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain Lesion Segmentation
Konstantinos Kamnitsas
C. Ledig
Virginia Newcombe
Joanna P. Simpson
A. D. Kane
David Menon
Daniel Rueckert
Ben Glocker
MedIm3DV
145
3,060
0
18 Mar 2016
Decision Forests, Convolutional Networks and the Models in-Between
Decision Forests, Convolutional Networks and the Models in-Between
Yani Andrew Ioannou
D. Robertson
Darko Zikic
Peter Kontschieder
Jamie Shotton
Matthew Brown
A. Criminisi
138
88
0
03 Mar 2016
Brain Tumor Segmentation with Deep Neural Networks
Brain Tumor Segmentation with Deep Neural Networks
Mohammad Havaei
Axel Davy
David Warde-Farley
A. Biard
Aaron Courville
Yoshua Bengio
C. Pal
Pierre-Marc Jodoin
Hugo Larochelle
3DV
112
2,880
0
13 May 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.1K
150,312
0
22 Dec 2014
1