Context-Gan: Controllable Context Image Generation Using Gans
Author:
Affiliation:
1. Aix Marseille Univ,CNRS, CRMBM,Marseille,France
2. Aix Marseille Univ,Reference Center for Neuromuscular Diseases and ALS, La Timone,Marseille,France
3. Aix Marseille Univ, Université de Toulon,CNRS, LIS,Marseille,France
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10230311/10230322/10230602.pdf?arnumber=10230602
Reference14 articles.
1. MRI biomarker assessment of neuromuscular disease progression: a prospective observational cohort study
2. Computational Radiomics System to Decode the Radiographic Phenotype
3. Clinical and imaging findings in six cases of congenital muscular dystrophy with rigid spine syndrome linked to chromosome 1p (RSMD1)
4. Image Quality Assessment: From Error Visibility to Structural Similarity
5. OASIS: Only Adversarial Supervision for Semantic Image Synthesis
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1. ConText-GAN: using contextual texture information for realistic and controllable medical image synthesis*;2023 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI);2023-10-15
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