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Medical Image Generation

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

( Image credit: Towards Adversarial Retinal Image Synthesis )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–78 of 78 papers

TitleStatusHype
Towards Interpretable Counterfactual Generation via Multimodal Autoregression—0
Evaluating the Performance of StyleGAN2-ADA on Medical Images—0
Enhancing Label-efficient Medical Image Segmentation with Text-guided Diffusion Models—0
Unsupervised Domain Transfer with Conditional Invertible Neural Networks—0
Diffusion-Based Approaches in Medical Image Generation and Analysis—0
Pixel Perfect MegaMed: A Megapixel-Scale Vision-Language Foundation Model for Generating High Resolution Medical Images—0
3D MedDiffusion: A 3D Medical Diffusion Model for Controllable and High-quality Medical Image Generation—0
RadGazeGen: Radiomics and Gaze-guided Medical Image Generation using Diffusion Models—0
Rapid Review of Generative AI in Smart Medical Applications—0
Causal Disentanglement for Robust Long-tail Medical Image Generation—0
RL4Med-DDPO: Reinforcement Learning for Controlled Guidance Towards Diverse Medical Image Generation using Vision-Language Foundation Models—0
Current State of Community-Driven Radiological AI Deployment in Medical Imaging—0
Safeguarding Medical Image Segmentation Datasets against Unauthorized Training via Contour- and Texture-Aware Perturbations—0
seg2med: a bridge from artificial anatomy to multimodal medical images—0
Conditional Generation of Medical Images via Disentangled Adversarial Inference—0
SkrGAN: Sketching-rendering Unconditional Generative Adversarial Networks for Medical Image Synthesis—0
Conditional Diffusion Model for Longitudinal Medical Image Generation—0
Arbitrary Distributions Mapping via SyMOT-Flow: A Flow-based Approach Integrating Maximum Mean Discrepancy and Optimal Transport—0
Clinical Evaluation of Medical Image Synthesis: A Case Study in Wireless Capsule Endoscopy—0
IMPROVE: Improving Medical Plausibility without Reliance on HumanValidation -- An Enhanced Prototype-Guided Diffusion Framework—0
Inflating 2D Convolution Weights for Efficient Generation of 3D Medical Images—0
Introducing SDICE: An Index for Assessing Diversity of Synthetic Medical Datasets—0
BiomedJourney: Counterfactual Biomedical Image Generation by Instruction-Learning from Multimodal Patient Journeys—0
Language-Guided Trajectory Traversal in Disentangled Stable Diffusion Latent Space for Factorized Medical Image Generation—0
High-Quality Medical Image Generation from Free-hand Sketch—0
GANs for Medical Image Synthesis: An Empirical Study—0
Med-Art: Diffusion Transformer for 2D Medical Text-to-Image Generation—0
MedDiT: A Knowledge-Controlled Diffusion Transformer Framework for Dynamic Medical Image Generation in Virtual Simulated Patient—0
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All datasetsACDCSLIVER07ChestXray14 1024x1024ChestX-ray14Chest X-Ray Images (Pneumonia)

Benchmark Results

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