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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 26–50 of 78 papers

TitleStatusHype
ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact ReductionCode0
Backdoor Attack is a Devil in Federated GAN-based Medical Image SynthesisCode0
Devil is in Details: Locality-Aware 3D Abdominal CT Volume Generation for Self-Supervised Organ SegmentationCode0
FedCAR: Cross-client Adaptive Re-weighting for Generative Models in Federated LearningCode0
GANetic Loss for Generative Adversarial Networks with a Focus on Medical ApplicationsCode0
GAN-GA: A Generative Model based on Genetic Algorithm for Medical Image GenerationCode0
Generation of Artificial CT Images using Patch-based Conditional Generative Adversarial NetworksCode0
Generative Adversarial Networks for Image-to-Image Translation on Multi-Contrast MR Images - A Comparison of CycleGAN and UNITCode0
Image Translation for Medical Image Generation -- Ischemic Stroke LesionsCode0
Kvasir-VQA: A Text-Image Pair GI Tract DatasetCode0
MemControl: Mitigating Memorization in Diffusion Models via Automated Parameter SelectionCode0
Metrics that matter: Evaluating image quality metrics for medical image generationCode0
On Differentially Private 3D Medical Image Synthesis with Controllable Latent Diffusion ModelsCode0
PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network with a Benchmark at Cross-modality Cardiac SegmentationCode0
RELICT: A Replica Detection Framework for Medical Image GenerationCode0
Synthetic Medical Images from Dual Generative Adversarial NetworksCode0
Towards Adversarial Retinal Image SynthesisCode0
UWAFA-GAN: Ultra-Wide-Angle Fluorescein Angiography Transformation via Multi-scale Generation and Registration EnhancementCode0
Exploring Variational Autoencoders for Medical Image Generation: A Comprehensive Study—0
Evaluation of Deep Convolutional Generative Adversarial Networks for data augmentation of chest X-ray images—0
Medical Image Generation using Generative Adversarial Networks—0
Medical Image Synthesis for Data Augmentation and Anonymization using Generative Adversarial Networks—0
Mediffusion: Joint Diffusion for Self-Explainable Semi-Supervised Classification and Medical Image Generation—0
Evaluating Utility of Memory Efficient Medical Image Generation: A Study on Lung Nodule Segmentation—0
An Ordinal Diffusion Model for Generating Medical Images with Different Severity Levels—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