Metrics to Quantify Global Consistency in Synthetic Medical Images

Metrics to Quantify Global Consistency in Synthetic Medical Images

1 August 2023

Benedikt Wiestler

Daniel Rueckert

Papers citing "Metrics to Quantify Global Consistency in Synthetic Medical Images"

5 / 5 papers shown

Title
Brain Imaging Generation with Latent Diffusion Models W. H. Pinaya Petru-Daniel Tudosiu J. Dafflon P. F. D. Costa Virginia Fernandez P. Nachev Sebastien Ourselin M. Jorge Cardoso DiffM MedIm 107 285 0 15 Sep 2022
StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets Axel Sauer Katja Schwarz Andreas Geiger 182 495 0 01 Feb 2022
Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis Bingchen Liu Yizhe Zhu Kunpeng Song Ahmed Elgammal 173 234 0 12 Jan 2021
MADGAN: unsupervised Medical Anomaly Detection GAN using multiple adjacent brain MRI slice reconstruction Changhee Han L. Rundo K. Murao T. Noguchi Yuki Shimahara Z. '. Milacski S. Koshino Evis Sala Hideki Nakayama Shinichi Satoh MedIm 98 159 0 24 Jul 2020
Image Generation from Scene Graphs Justin Johnson Agrim Gupta Li Fei-Fei GNN 223 815 0 04 Apr 2018