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Semi-supervised Task-driven Data Augmentation for Medical Image
  Segmentation
v1v2 (latest)

Semi-supervised Task-driven Data Augmentation for Medical Image Segmentation

9 July 2020
K. Chaitanya
Neerav Karani
Christian F. Baumgartner
Ertunc Erdil
Anton S. Becker
O. Donati
E. Konukoglu
    MedIm
ArXiv (abs)PDFHTML

Papers citing "Semi-supervised Task-driven Data Augmentation for Medical Image Segmentation"

21 / 21 papers shown
Title
MGAug: Multimodal Geometric Augmentation in Latent Spaces of Image Deformations
MGAug: Multimodal Geometric Augmentation in Latent Spaces of Image Deformations
Tonmoy Hossain
Miaomiao Zhang
120
3
0
20 Dec 2023
Data augmentation using learned transformations for one-shot medical
  image segmentation
Data augmentation using learned transformations for one-shot medical image segmentation
Amy Zhao
Guha Balakrishnan
F. Durand
John Guttag
Adrian Dalca
OODMedIm
79
399
0
25 Feb 2019
Semi-Supervised and Task-Driven Data Augmentation
Semi-Supervised and Task-Driven Data Augmentation
K. Chaitanya
Neerav Karani
Christian F. Baumgartner
O. Donati
Anton S. Becker
E. Konukoglu
MedIm
97
143
0
11 Feb 2019
Pixel Level Data Augmentation for Semantic Image Segmentation using
  Generative Adversarial Networks
Pixel Level Data Augmentation for Semantic Image Segmentation using Generative Adversarial Networks
Shuangting Liu
Jiaqi Zhang
Yuxin Chen
Yifan Liu
Zengchang Qin
T. Wan
GAN
90
46
0
01 Nov 2018
GAN Augmentation: Augmenting Training Data using Generative Adversarial
  Networks
GAN Augmentation: Augmenting Training Data using Generative Adversarial Networks
Christopher Bowles
Liang Chen
Ricardo Guerrero
P. Bentley
R. Gunn
A. Hammers
D. A. Dickie
M. V. Valdés Hernández
Joanna M. Wardlaw
Daniel Rueckert
GANMedIm
81
428
0
25 Oct 2018
Data Augmentation for Skin Lesion Analysis
Data Augmentation for Skin Lesion Analysis
Fábio Perez
C. N. Vasconcelos
Sandra Avila
Eduardo Valle
MedIm
68
170
0
05 Sep 2018
Medical Image Synthesis for Data Augmentation and Anonymization using
  Generative Adversarial Networks
Medical Image Synthesis for Data Augmentation and Anonymization using Generative Adversarial Networks
Hoo-Chang Shin
Neil A. Tenenholtz
Jameson K. Rogers
C. Schwarz
M. Senjem
J. Gunter
Katherine P. Andriole
Mark H. Michalski
MedIm
111
544
0
26 Jul 2018
Conditional Infilling GANs for Data Augmentation in Mammogram
  Classification
Conditional Infilling GANs for Data Augmentation in Mammogram Classification
Eric Wu
K. Wu
David D. Cox
William Lotter
MedIm
68
135
0
21 Jul 2018
Learning to Segment Medical Images with Scribble-Supervision Alone
Learning to Segment Medical Images with Scribble-Supervision Alone
Y. Can
K. Chaitanya
Basil Mustafa
Lisa M. Koch
E. Konukoglu
Christian F. Baumgartner
50
88
0
12 Jul 2018
Pathology Segmentation using Distributional Differences to Images of
  Healthy Origin
Pathology Segmentation using Distributional Differences to Images of Healthy Origin
Simon Andermatt
Antal Huck-Horváth
Simon Pezold
Philippe C. Cattin
MedIm
74
29
0
25 May 2018
Low-Shot Learning from Imaginary Data
Low-Shot Learning from Imaginary Data
Yu-Xiong Wang
Ross B. Girshick
M. Hebert
Bharath Hariharan
VLM
121
677
0
16 Jan 2018
Synthetic Data Augmentation using GAN for Improved Liver Lesion
  Classification
Synthetic Data Augmentation using GAN for Improved Liver Lesion Classification
Maayan Frid-Adar
Eyal Klang
Michal Amitai
Jacob Goldberger
H. Greenspan
MedImGAN
73
704
0
08 Jan 2018
Unsupervised Histopathology Image Synthesis
Unsupervised Histopathology Image Synthesis
L. Hou
Ayush Agarwal
Dimitris Samaras
Tahsin M. Kurc
Rajarsi R. Gupta
Joel H. Saltz
MedIm
48
64
0
13 Dec 2017
mixup: Beyond Empirical Risk Minimization
mixup: Beyond Empirical Risk Minimization
Hongyi Zhang
Moustapha Cissé
Yann N. Dauphin
David Lopez-Paz
NoLa
316
9,811
0
25 Oct 2017
Synthetic Medical Images from Dual Generative Adversarial Networks
Synthetic Medical Images from Dual Generative Adversarial Networks
John Guibas
T. S. Virdi
Peter S. Li
GANMedIm
162
167
0
06 Sep 2017
RenderGAN: Generating Realistic Labeled Data
RenderGAN: Generating Realistic Labeled Data
Leon Sixt
Benjamin Wild
Tim Landgraf
GAN
232
176
0
04 Nov 2016
Unsupervised Representation Learning with Deep Convolutional Generative
  Adversarial Networks
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
Alec Radford
Luke Metz
Soumith Chintala
GANOOD
276
14,027
0
19 Nov 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg3DV
1.9K
77,441
0
18 May 2015
Distilling the Knowledge in a Neural Network
Distilling the Knowledge in a Neural Network
Geoffrey E. Hinton
Oriol Vinyals
J. Dean
FedML
367
19,745
0
09 Mar 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.1K
150,364
0
22 Dec 2014
High-Performance Neural Networks for Visual Object Classification
High-Performance Neural Networks for Visual Object Classification
D. Ciresan
U. Meier
Jonathan Masci
L. Gambardella
Jürgen Schmidhuber
BDL3DH
99
316
0
01 Feb 2011
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