SOTAVerified

Medical Image Generation

Medical image generation is the task of synthesising new medical images.

( Image credit: Towards Adversarial Retinal Image Synthesis )

Papers

Showing 6170 of 78 papers

TitleStatusHype
RL4Med-DDPO: Reinforcement Learning for Controlled Guidance Towards Diverse Medical Image Generation using Vision-Language Foundation Models0
Current State of Community-Driven Radiological AI Deployment in Medical Imaging0
Safeguarding Medical Image Segmentation Datasets against Unauthorized Training via Contour- and Texture-Aware Perturbations0
seg2med: a bridge from artificial anatomy to multimodal medical images0
Conditional Generation of Medical Images via Disentangled Adversarial Inference0
SkrGAN: Sketching-rendering Unconditional Generative Adversarial Networks for Medical Image Synthesis0
Conditional Diffusion Model for Longitudinal Medical Image Generation0
Arbitrary Distributions Mapping via SyMOT-Flow: A Flow-based Approach Integrating Maximum Mean Discrepancy and Optimal Transport0
Clinical Evaluation of Medical Image Synthesis: A Case Study in Wireless Capsule Endoscopy0
IMPROVE: Improving Medical Plausibility without Reliance on HumanValidation -- An Enhanced Prototype-Guided Diffusion Framework0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1StyleGANFID24.74Unverified
2StyleGAN2 with DiffAugmentFID21.42Unverified
3StyleGAN2-ADAFID21.17Unverified
#ModelMetricClaimedVerifiedStatus
1StyleGANFID29.06Unverified
2StyleGAN2-ADAFID10.78Unverified
3StyleGAN2 with DiffAugmentFID4.62Unverified
#ModelMetricClaimedVerifiedStatus
1Progressive Growing GANFID8.02Unverified
2StyleGAN2-ADAFID3.52Unverified
#ModelMetricClaimedVerifiedStatus
1StyleGAN2 with DiffAugmentFID3.07Unverified
#ModelMetricClaimedVerifiedStatus
1DCGANFrechet Inception Distance1.29Unverified