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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 51–78 of 78 papers

TitleStatusHype
Evaluating the Performance of StyleGAN2-ADA on Medical Images—0
Inflating 2D Convolution Weights for Efficient Generation of 3D Medical Images—0
Backdoor Attack is a Devil in Federated GAN-based Medical Image SynthesisCode0
Diffusion Deformable Model for 4D Temporal Medical Image GenerationCode1
Generation of Artificial CT Images using Patch-based Conditional Generative Adversarial NetworksCode0
Correction of out-of-focus microscopic images by deep learningCode1
BCI: Breast Cancer Immunohistochemical Image Generation through Pyramid Pix2pixCode2
Robust deep learning for eye fundus images: Bridging real and synthetic data for enhancing generalizationCode0
Explainable Diabetic Retinopathy Detection and Retinal Image GenerationCode1
GANs for Medical Image Synthesis: An Empirical Study—0
Conditional Generation of Medical Images via Disentangled Adversarial Inference—0
Overcoming Barriers to Data Sharing with Medical Image Generation: A Comprehensive EvaluationCode1
MammoGANesis: Controlled Generation of High-Resolution Mammograms for Radiology EducationCode1
Evaluating the Clinical Realism of Synthetic Chest X-Rays Generated Using Progressively Growing GANsCode1
Image Translation for Medical Image Generation -- Ischemic Stroke LesionsCode0
Evaluation of Deep Convolutional Generative Adversarial Networks for data augmentation of chest X-ray images—0
Medical Image Generation using Generative Adversarial Networks—0
Melanoma Detection using Adversarial Training and Deep Transfer LearningCode1
SkrGAN: Sketching-rendering Unconditional Generative Adversarial Networks for Medical Image Synthesis—0
ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact ReductionCode0
Skin Lesion Synthesis with Generative Adversarial NetworksCode1
PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network with a Benchmark at Cross-modality Cardiac SegmentationCode0
Generative Adversarial Network in Medical Imaging: A ReviewCode2
Medical Image Synthesis for Data Augmentation and Anonymization using Generative Adversarial Networks—0
Generative Adversarial Networks for Image-to-Image Translation on Multi-Contrast MR Images - A Comparison of CycleGAN and UNITCode0
NiftyNet: a deep-learning platform for medical imagingCode1
Synthetic Medical Images from Dual Generative Adversarial NetworksCode0
Towards Adversarial Retinal Image SynthesisCode0
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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