SOTAVerified

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 26–50 of 78 papers

TitleStatusHype
Evaluating the Performance of StyleGAN2-ADA on Medical Images—0
An Ordinal Diffusion Model for Generating Medical Images with Different Severity Levels—0
BiomedJourney: Counterfactual Biomedical Image Generation by Instruction-Learning from Multimodal Patient Journeys—0
Causal Disentanglement for Robust Long-tail Medical Image Generation—0
Clinical Evaluation of Medical Image Synthesis: A Case Study in Wireless Capsule Endoscopy—0
Conditional Diffusion Model for Longitudinal Medical Image Generation—0
Conditional Generation of Medical Images via Disentangled Adversarial Inference—0
Current State of Community-Driven Radiological AI Deployment in Medical Imaging—0
Diffusion-Based Approaches in Medical Image Generation and Analysis—0
Enhancing Label-efficient Medical Image Segmentation with Text-guided Diffusion Models—0
3D MedDiffusion: A 3D Medical Diffusion Model for Controllable and High-quality Medical Image Generation—0
Evaluating Utility of Memory Efficient Medical Image Generation: A Study on Lung Nodule Segmentation—0
Evaluation of Deep Convolutional Generative Adversarial Networks for data augmentation of chest X-ray images—0
Exploring Variational Autoencoders for Medical Image Generation: A Comprehensive Study—0
GANs for Medical Image Synthesis: An Empirical Study—0
High-Quality Medical Image Generation from Free-hand Sketch—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
Language-Guided Trajectory Traversal in Disentangled Stable Diffusion Latent Space for Factorized Medical Image Generation—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
Medical Image Generation using Generative Adversarial Networks—0
Medical Image Synthesis for Data Augmentation and Anonymization using Generative Adversarial Networks—0
Pixel Perfect MegaMed: A Megapixel-Scale Vision-Language Foundation Model for Generating High Resolution Medical Images—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