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Medical Image Denoising

Image credit: Learning Medical Image Denoising with Deep Dynamic Residual Attention Network

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–21 of 21 papers

TitleStatusHype
Transformers in Medical Imaging: A SurveyCode3
Adversarial Distortion Learning for Medical Image DenoisingCode1
Content-Noise Complementary Learning for Medical Image DenoisingCode1
Learning Medical Image Denoising with Deep Dynamic Residual Attention NetworkCode1
Uncertainty Estimation in Medical Image Denoising with Bayesian Deep Image PriorCode1
DiffDenoise: Self-Supervised Medical Image Denoising with Conditional Diffusion Models—0
Denoising via Repainting: an image denoising method using layer wise medical image repainting—0
Two-stage Deep Denoising with Self-guided Noise Attention for Multimodal Medical Images—0
Task-based Regularization in Penalized Least-Squares for Binary Signal Detection Tasks in Medical Image Denoising—0
Contextual Checkerboard Denoise -- A Novel Neural Network-Based Approach for Classification-Aware OCT Image DenoisingCode0
Neighboring Slice Noise2Noise: Self-Supervised Medical Image Denoising from Single Noisy Image Volume—0
DDPET-3D: Dose-aware Diffusion Model for 3D Ultra Low-dose PET ImagingCode0
Fast and Accurate Estimation of Low-Rank Matrices from Noisy Measurements via Preconditioned Non-Convex Gradient Descent—0
SwinIA: Self-Supervised Blind-Spot Image Denoising without Convolutions—0
Eformer: Edge Enhancement based Transformer for Medical Image Denoising—0
Lesion-Inspired Denoising Network: Connecting Medical Image Denoising and Lesion Detection—0
An unsupervised deep learning framework for medical image denoising—0
Low-Dose CT Image Denoising Using Parallel-Clone Networks—0
Consensus Neural Network for Medical Imaging Denoising with Only Noisy Training Samples—0
User Loss -- A Forced-Choice-Inspired Approach to Train Neural Networks directly by User Interaction—0
Medical image denoising using convolutional denoising autoencodersCode0
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All datasetsDermatologist level dermoscopy skin cancer classification using different deep learning convolutional neural networks algorithmsFMD Confocal FishFMD Confocal MiceFMD Two-Photon MiceHuman Protein Atlas ImageLGG Segmentation Dataset

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Deep Dynamic Residual Attention Network SSIM0.95—Unverified
#ModelMetricClaimedVerifiedStatus
1SwinIAPSNR31.79—Unverified
#ModelMetricClaimedVerifiedStatus
1SwinIAPSNR37.65—Unverified
#ModelMetricClaimedVerifiedStatus
1SwinIAPSNR33.25—Unverified
#ModelMetricClaimedVerifiedStatus
1Deep Dynamic Residual Attention NetworkAverage PSNR43.84—Unverified
#ModelMetricClaimedVerifiedStatus
1Deep Dynamic Residual Attention NetworkAverage PSNR40.48—Unverified