Diffusion-Weighted Magnetic Resonance Brain Images Generation with Generative Adversarial Networks and Variational Autoencoders: A Comparison Study

24 June 2020

Papers citing "Diffusion-Weighted Magnetic Resonance Brain Images Generation with Generative Adversarial Networks and Variational Autoencoders: A Comparison Study"

7 / 7 papers shown

Title
Effectively Unbiased FID and Inception Score and where to find them Min Jin Chong David A. Forsyth EGVM 47 202 0 16 Nov 2019
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 508 10,500 0 12 Dec 2018
Understanding Batch Normalization Johan Bjorck Carla P. Gomes B. Selman Kilian Q. Weinberger 95 603 0 01 Jun 2018
Data Augmentation Generative Adversarial Networks Antreas Antoniou Amos Storkey Harrison Edwards MedIm GAN 115 1,069 0 12 Nov 2017
Generative Adversarial Networks: An Overview Antonia Creswell Tom White Vincent Dumoulin Kai Arulkumaran B. Sengupta Anil A Bharath GAN 90 3,005 0 19 Oct 2017
VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning Akash Srivastava Lazar Valkov Chris Russell Michael U. Gutmann Charles Sutton SyDa GAN 48 677 0 22 May 2017
Improved Techniques for Training GANs Tim Salimans Ian Goodfellow Wojciech Zaremba Vicki Cheung Alec Radford Xi Chen GAN 377 8,999 0 10 Jun 2016