DCGANs for Realistic Breast Mass Augmentation in X-ray Mammography

4 September 2019

Papers citing "DCGANs for Realistic Breast Mass Augmentation in X-ray Mammography"

6 / 6 papers shown

Title
MAM-E: Mammographic synthetic image generation with diffusion models R. Montoya-del-Angel Karla Sam-Millan J. C. Vilanova Robert Martí MedIm 40 7 0 16 Nov 2023
Single-Model Attribution of Generative Models Through Final-Layer Inversion M. Laszkiewicz Jonas Ricker Johannes Lederer Asja Fischer 34 4 0 26 May 2023
medigan: a Python library of pretrained generative models for medical image synthesis Richard Osuala Grzegorz Skorupko Noussair Lazrak Lidia Garrucho E. García ... Michael Rutherford Fred Prior Kaisar Kushibar Oliver Díaz Karim Lekadir LM&MA MedIm 34 20 0 28 Sep 2022
Sharing Generative Models Instead of Private Data: A Simulation Study on Mammography Patch Classification Zuzanna Szafranowska Richard Osuala Bennet Breier Kaisar Kushibar Karim Lekadir Oliver Díaz MedIm 13 13 0 08 Mar 2022
Data synthesis and adversarial networks: A review and meta-analysis in cancer imaging Richard Osuala Kaisar Kushibar Lidia Garrucho Akis Linardos Zuzanna Szafranowska Stefan Klein Ben Glocker Oliver Díaz Karim Lekadir MedIm 41 42 0 20 Jul 2021
Quality analysis of DCGAN-generated mammography lesions Basel Alyafi Oliver Díaz J. Vilanova Javier del Riego Robert Martí MedIm 9 9 0 28 Nov 2019