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Automatic CNN-based detection of cardiac MR motion artefacts using
  k-space data augmentation and curriculum learning
v1v2 (latest)

Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning

29 October 2018
Ilkay Oksuz
B. Ruijsink
Esther Puyol-Antón
J. Clough
G. Cruz
A. Bustin
Claudia Prieto
René M. Botnar
Daniel Rueckert
Julia A. Schnabel
A. King
    MedIm
ArXiv (abs)PDFHTML

Papers citing "Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning"

12 / 12 papers shown
Title
Deep Learning using K-space Based Data Augmentation for Automated
  Cardiac MR Motion Artefact Detection
Deep Learning using K-space Based Data Augmentation for Automated Cardiac MR Motion Artefact Detection
Ilkay Oksuz
B. Ruijsink
Esther Puyol-Antón
A. Bustin
G. Cruz
Claudia Prieto
Daniel Rueckert
Julia A. Schnabel
A. King
MedIm
35
26
0
15 Aug 2018
CASED: Curriculum Adaptive Sampling for Extreme Data Imbalance
CASED: Curriculum Adaptive Sampling for Extreme Data Imbalance
Andrew Jesson
N. Guizard
Sina Hamidi Ghalehjegh
D. Goblot
F. Soudan
Nicolas Chapados
46
48
0
27 Jul 2018
A Machine-learning framework for automatic reference-free quality
  assessment in MRI
A Machine-learning framework for automatic reference-free quality assessment in MRI
Thomas Kustner
S. Gatidis
Annika Liebgott
Martin Schwartz
Lukas Mauch
...
N. Schwenzer
K. Nikolaou
F. Bamberg
Bin Yang
F. Schick
MedIm
38
48
0
25 Jun 2018
Training Medical Image Analysis Systems like Radiologists
Training Medical Image Analysis Systems like Radiologists
Gabriel Maicas
A. Bradley
Jacinto C. Nascimento
Ian Reid
G. Carneiro
53
55
0
28 May 2018
Learning-Based Quality Control for Cardiac MR Images
Learning-Based Quality Control for Cardiac MR Images
G. Tarroni
Ozan Oktay
Wenjia Bai
A. Schuh
Hideaki Suzuki
...
D. O’Regan
S. Cook
Ben Glocker
Paul M. Matthews
Daniel Rueckert
45
54
0
25 Mar 2018
Curriculum Learning by Transfer Learning: Theory and Experiments with
  Deep Networks
Curriculum Learning by Transfer Learning: Theory and Experiments with Deep Networks
D. Weinshall
Gad Cohen
Dan Amir
ODL
47
241
0
11 Feb 2018
NIMA: Neural Image Assessment
NIMA: Neural Image Assessment
Hossein Talebi
P. Milanfar
3DH
67
905
0
15 Sep 2017
An Adaptive Sampling Scheme to Efficiently Train Fully Convolutional
  Networks for Semantic Segmentation
An Adaptive Sampling Scheme to Efficiently Train Fully Convolutional Networks for Semantic Segmentation
L. Berger
E. Hyde
M. Jorge Cardoso
Sebastien Ourselin
SSeg
50
41
0
08 Sep 2017
Cost Sensitive Learning of Deep Feature Representations from Imbalanced
  Data
Cost Sensitive Learning of Deep Feature Representations from Imbalanced Data
Salman H. Khan
Munawar Hayat
Bennamoun
Ferdous Sohel
R. Togneri
74
882
0
14 Aug 2015
Curriculum Learning of Multiple Tasks
Curriculum Learning of Multiple Tasks
Anastasia Pentina
V. Sharmanska
Christoph H. Lampert
72
245
0
03 Dec 2014
Long-term Recurrent Convolutional Networks for Visual Recognition and
  Description
Long-term Recurrent Convolutional Networks for Visual Recognition and Description
Jeff Donahue
Lisa Anne Hendricks
Marcus Rohrbach
Subhashini Venugopalan
S. Guadarrama
Kate Saenko
Trevor Darrell
VLM
165
6,053
0
17 Nov 2014
Deep Inside Convolutional Networks: Visualising Image Classification
  Models and Saliency Maps
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
Karen Simonyan
Andrea Vedaldi
Andrew Zisserman
FAtt
312
7,308
0
20 Dec 2013
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