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High-Resolution Mammogram Synthesis using Progressive Generative
  Adversarial Networks

High-Resolution Mammogram Synthesis using Progressive Generative Adversarial Networks

9 July 2018
Dimitrios Korkinof
T. Rijken
Michael OÑeill
J. Yearsley
H. Harvey
Ben Glocker
    MedIm
ArXivPDFHTML

Papers citing "High-Resolution Mammogram Synthesis using Progressive Generative Adversarial Networks"

12 / 12 papers shown
Title
Variational Inference for Longitudinal Data Using Normalizing Flows
Variational Inference for Longitudinal Data Using Normalizing Flows
Clément Chadebec
S. Allassonnière
BDL
DRL
26
1
0
24 Mar 2023
High-resolution synthesis of high-density breast mammograms: Application
  to improved fairness in deep learning based mass detection
High-resolution synthesis of high-density breast mammograms: Application to improved fairness in deep learning based mass detection
Lidia Garrucho
Kaisar Kushibar
Richard Osuala
Oliver Díaz
Alessandro Catanese
Javier del Riego
Maciej Bobowicz
Fredrik Strand
Laura Igual
Karim Lekadir
MedIm
27
18
0
20 Sep 2022
Improving Tuberculosis (TB) Prediction using Synthetically Generated
  Computed Tomography (CT) Images
Improving Tuberculosis (TB) Prediction using Synthetically Generated Computed Tomography (CT) Images
Ashia Lewis
Evanjelin Mahmoodi
Yuyue Zhou
Megan Coffee
Elena Sizikova
LM&MA
33
9
0
23 Sep 2021
A Real Use Case of Semi-Supervised Learning for Mammogram Classification
  in a Local Clinic of Costa Rica
A Real Use Case of Semi-Supervised Learning for Mammogram Classification in a Local Clinic of Costa Rica
Saul Calderon-Ramirez
Diego Murillo-Hernandez
Kevin Rojas-Salazar
David Elizondo
Shengxiang-Yang
Miguel A. Molina-Cabello
28
14
0
24 Jul 2021
Data Augmentation in High Dimensional Low Sample Size Setting Using a
  Geometry-Based Variational Autoencoder
Data Augmentation in High Dimensional Low Sample Size Setting Using a Geometry-Based Variational Autoencoder
Clément Chadebec
Elina Thibeau-Sutre
Ninon Burgos
S. Allassonnière
36
62
0
30 Apr 2021
ProCAN: Progressive Growing Channel Attentive Non-Local Network for Lung
  Nodule Classification
ProCAN: Progressive Growing Channel Attentive Non-Local Network for Lung Nodule Classification
M. Al-Shabi
Kelvin Shak
Maxine Tan
19
53
0
29 Oct 2020
Tubular Shape Aware Data Generation for Semantic Segmentation in Medical
  Imaging
Tubular Shape Aware Data Generation for Semantic Segmentation in Medical Imaging
I. Sirazitdinov
H. Schulz
A. Saalbach
S. Renisch
Dmitry Dylov
MedIm
34
2
0
02 Oct 2020
Synthetic Data for Deep Learning
Synthetic Data for Deep Learning
Sergey I. Nikolenko
46
348
0
25 Sep 2019
Decompose to manipulate: Manipulable Object Synthesis in 3D Medical
  Images with Structured Image Decomposition
Decompose to manipulate: Manipulable Object Synthesis in 3D Medical Images with Structured Image Decomposition
Siqi Liu
Eli Gibson
Sasa Grbic
Zhoubing Xu
A. Setio
J. Yang
Bogdan Georgescu
Dorin Comaniciu
DiffM
MedIm
33
18
0
04 Dec 2018
Generative Adversarial Network in Medical Imaging: A Review
Generative Adversarial Network in Medical Imaging: A Review
Xin Yi
Ekta Walia
P. Babyn
GAN
MedIm
31
1,370
0
19 Sep 2018
Conditional Image Synthesis With Auxiliary Classifier GANs
Conditional Image Synthesis With Auxiliary Classifier GANs
Augustus Odena
C. Olah
Jonathon Shlens
GAN
250
3,191
0
30 Oct 2016
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
269
2,550
0
25 Jan 2016
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