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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
Anatomically-Controllable Medical Image Generation with Segmentation-Guided Diffusion ModelsCode3
BCI: Breast Cancer Immunohistochemical Image Generation through Pyramid Pix2pixCode2
Generative Adversarial Network in Medical Imaging: A ReviewCode2
Soft Masked Mamba Diffusion Model for CT to MRI ConversionCode2
WDM: 3D Wavelet Diffusion Models for High-Resolution Medical Image SynthesisCode2
Medical Diffusion: Denoising Diffusion Probabilistic Models for 3D Medical Image GenerationCode2
Evaluating the Clinical Realism of Synthetic Chest X-Rays Generated Using Progressively Growing GANsCode1
Latent Diffusion Autoencoders: Toward Efficient and Meaningful Unsupervised Representation Learning in Medical ImagingCode1
Explainable Diabetic Retinopathy Detection and Retinal Image GenerationCode1
Feature Extraction for Generative Medical Imaging Evaluation: New Evidence Against an Evolving TrendCode1
Skin Lesion Synthesis with Generative Adversarial NetworksCode1
Correction of out-of-focus microscopic images by deep learningCode1
SADM: Sequence-Aware Diffusion Model for Longitudinal Medical Image GenerationCode1
Data-Efficient Unsupervised Interpolation Without Any Intermediate Frame for 4D Medical ImagesCode1
Vision-Language Synthetic Data Enhances Echocardiography Downstream TasksCode1
Overcoming Barriers to Data Sharing with Medical Image Generation: A Comprehensive EvaluationCode1
Diffusion Deformable Model for 4D Temporal Medical Image GenerationCode1
NiftyNet: a deep-learning platform for medical imagingCode1
MRGen: Diffusion-based Controllable Data Engine for MRI Segmentation towards Unannotated ModalitiesCode1
Melanoma Detection using Adversarial Training and Deep Transfer LearningCode1
MammoGANesis: Controlled Generation of High-Resolution Mammograms for Radiology EducationCode1
GenerateCT: Text-Conditional Generation of 3D Chest CT VolumesCode1
UWAT-GAN: Fundus Fluorescein Angiography Synthesis via Ultra-wide-angle Transformation Multi-scale GANCode1
Medical diffusion on a budget: Textual Inversion for medical image generationCode1
Robust deep learning for eye fundus images: Bridging real and synthetic data for enhancing generalizationCode0
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