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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

Showing 125 of 78 papers

TitleStatusHype
Anatomically-Controllable Medical Image Generation with Segmentation-Guided Diffusion ModelsCode3
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
BCI: Breast Cancer Immunohistochemical Image Generation through Pyramid Pix2pixCode2
Medical Diffusion: Denoising Diffusion Probabilistic Models for 3D Medical Image GenerationCode2
Vision-Language Synthetic Data Enhances Echocardiography Downstream TasksCode1
GenerateCT: Text-Conditional Generation of 3D Chest CT VolumesCode1
UWAT-GAN: Fundus Fluorescein Angiography Synthesis via Ultra-wide-angle Transformation Multi-scale GANCode1
Skin Lesion Synthesis with Generative Adversarial NetworksCode1
MRGen: Diffusion-based Controllable Data Engine for MRI Segmentation towards Unannotated ModalitiesCode1
Correction of out-of-focus microscopic images by deep learningCode1
Overcoming Barriers to Data Sharing with Medical Image Generation: A Comprehensive EvaluationCode1
Data-Efficient Unsupervised Interpolation Without Any Intermediate Frame for 4D Medical ImagesCode1
MammoGANesis: Controlled Generation of High-Resolution Mammograms for Radiology EducationCode1
Medical diffusion on a budget: Textual Inversion for medical image generationCode1
Diffusion Deformable Model for 4D Temporal Medical Image GenerationCode1
Feature Extraction for Generative Medical Imaging Evaluation: New Evidence Against an Evolving TrendCode1
Latent Diffusion Autoencoders: Toward Efficient and Meaningful Unsupervised Representation Learning in Medical ImagingCode1
NiftyNet: a deep-learning platform for medical imagingCode1
Explainable Diabetic Retinopathy Detection and Retinal Image GenerationCode1
SADM: Sequence-Aware Diffusion Model for Longitudinal Medical Image GenerationCode1
Melanoma Detection using Adversarial Training and Deep Transfer LearningCode1
Evaluating the Clinical Realism of Synthetic Chest X-Rays Generated Using Progressively Growing GANsCode1
BiomedJourney: Counterfactual Biomedical Image Generation by Instruction-Learning from Multimodal Patient Journeys0
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Benchmark Results

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