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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

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Showing 1–50 of 78 papers

TitleStatusHype
Pixel Perfect MegaMed: A Megapixel-Scale Vision-Language Foundation Model for Generating High Resolution Medical Images—0
Med-Art: Diffusion Transformer for 2D Medical Text-to-Image Generation—0
Metrics that matter: Evaluating image quality metrics for medical image generationCode0
Causal Disentanglement for Robust Long-tail Medical Image Generation—0
seg2med: a bridge from artificial anatomy to multimodal medical images—0
Latent Diffusion Autoencoders: Toward Efficient and Meaningful Unsupervised Representation Learning in Medical ImagingCode1
Language-Guided Trajectory Traversal in Disentangled Stable Diffusion Latent Space for Factorized Medical Image Generation—0
Towards Interpretable Counterfactual Generation via Multimodal Autoregression—0
RL4Med-DDPO: Reinforcement Learning for Controlled Guidance Towards Diverse Medical Image Generation using Vision-Language Foundation Models—0
RELICT: A Replica Detection Framework for Medical Image GenerationCode0
Diffusion-Based Approaches in Medical Image Generation and Analysis—0
3D MedDiffusion: A 3D Medical Diffusion Model for Controllable and High-quality Medical Image Generation—0
FedCAR: Cross-client Adaptive Re-weighting for Generative Models in Federated LearningCode0
MRGen: Diffusion-based Controllable Data Engine for MRI Segmentation towards Unannotated ModalitiesCode1
IMPROVE: Improving Medical Plausibility without Reliance on HumanValidation -- An Enhanced Prototype-Guided Diffusion Framework—0
Mediffusion: Joint Diffusion for Self-Explainable Semi-Supervised Classification and Medical Image Generation—0
Exploring Variational Autoencoders for Medical Image Generation: A Comprehensive Study—0
Conditional Diffusion Model for Longitudinal Medical Image Generation—0
Clinical Evaluation of Medical Image Synthesis: A Case Study in Wireless Capsule Endoscopy—0
Evaluating Utility of Memory Efficient Medical Image Generation: A Study on Lung Nodule Segmentation—0
RadGazeGen: Radiomics and Gaze-guided Medical Image Generation using Diffusion Models—0
Devil is in Details: Locality-Aware 3D Abdominal CT Volume Generation for Self-Supervised Organ SegmentationCode0
Introducing SDICE: An Index for Assessing Diversity of Synthetic Medical Datasets—0
Kvasir-VQA: A Text-Image Pair GI Tract DatasetCode0
MedDiT: A Knowledge-Controlled Diffusion Transformer Framework for Dynamic Medical Image Generation in Virtual Simulated Patient—0
On Differentially Private 3D Medical Image Synthesis with Controllable Latent Diffusion ModelsCode0
Enhancing Label-efficient Medical Image Segmentation with Text-guided Diffusion Models—0
Soft Masked Mamba Diffusion Model for CT to MRI ConversionCode2
Rapid Review of Generative AI in Smart Medical Applications—0
GANetic Loss for Generative Adversarial Networks with a Focus on Medical ApplicationsCode0
MemControl: Mitigating Memorization in Diffusion Models via Automated Parameter SelectionCode0
UWAFA-GAN: Ultra-Wide-Angle Fluorescein Angiography Transformation via Multi-scale Generation and Registration EnhancementCode0
Data-Efficient Unsupervised Interpolation Without Any Intermediate Frame for 4D Medical ImagesCode1
Vision-Language Synthetic Data Enhances Echocardiography Downstream TasksCode1
Safeguarding Medical Image Segmentation Datasets against Unauthorized Training via Contour- and Texture-Aware Perturbations—0
An Ordinal Diffusion Model for Generating Medical Images with Different Severity Levels—0
WDM: 3D Wavelet Diffusion Models for High-Resolution Medical Image SynthesisCode2
Anatomically-Controllable Medical Image Generation with Segmentation-Guided Diffusion ModelsCode3
High-Quality Medical Image Generation from Free-hand Sketch—0
GAN-GA: A Generative Model based on Genetic Algorithm for Medical Image GenerationCode0
Feature Extraction for Generative Medical Imaging Evaluation: New Evidence Against an Evolving TrendCode1
BiomedJourney: Counterfactual Biomedical Image Generation by Instruction-Learning from Multimodal Patient Journeys—0
Arbitrary Distributions Mapping via SyMOT-Flow: A Flow-based Approach Integrating Maximum Mean Discrepancy and Optimal Transport—0
UWAT-GAN: Fundus Fluorescein Angiography Synthesis via Ultra-wide-angle Transformation Multi-scale GANCode1
GenerateCT: Text-Conditional Generation of 3D Chest CT VolumesCode1
Medical diffusion on a budget: Textual Inversion for medical image generationCode1
Unsupervised Domain Transfer with Conditional Invertible Neural Networks—0
Current State of Community-Driven Radiological AI Deployment in Medical Imaging—0
SADM: Sequence-Aware Diffusion Model for Longitudinal Medical Image GenerationCode1
Medical Diffusion: Denoising Diffusion Probabilistic Models for 3D Medical Image GenerationCode2
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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