Physics-Guided Deep Learning for Interpretable Biomedical Image Reconstruction and Pattern Recognition in Diagnostic Frameworks. [PDF]
Qadir A, Arif S, Valsalan P, Khan O.
europepmc +1 more source
Noise2Average: An iterative residual learning strategy for image denoising without clean data. [PDF]
Li Z +8 more
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Block compressive sensing-based image denoising framework using optimized sensing matrix and split Bregman algorithm. [PDF]
Thomas EN, Theeda P, Praveen T.
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Applications of Lucas sequences in convergence and signal processing. [PDF]
Yousif MA +4 more
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CycleGAN models show consistent brain MRI synthesis across datasets supporting downstream tissue characterization in multiple sclerosis. [PDF]
Shahrokhi S +3 more
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Structure-preserving super-resolution of retinal fundus images via a dual-transformer residual network. [PDF]
Pazo EE +6 more
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Enhanced confocal microscopy with physics-guided autoencoders via synthetic noise modeling. [PDF]
Ahmad Z +11 more
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Interferometric image denoising network SEVReNet. [PDF]
Li K, Guo R, Wang S, Wu S.
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Imaging Through Scattering Tissue Using Near Infra-Red and a Convolutional Autoencoder. [PDF]
Silberschein A +6 more
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ARS-GS: Anisotropic Reflective Spherical 3D Gaussian Splatting. [PDF]
Wu C, Shi X, Chu Z, Huang Y.
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