Results 231 to 240 of about 7,449,096 (281)

RadiolGAN: Multicenter Feasibility Study of Synthetic CT From 3D Ultra-Short Echo Time MRI for Enhanced Pulmonary Radiologic Sign Visualization. [PDF]

J Magn Reson Imaging
Zhu X, Xia W, Xie X, Li Y, Lv Y, Sun X, Zhu Y, Shang S, Zhou L, Mo X, Bao Z, Shi J, Ye J, Cui Y, Tang C, Huang W.   +15 more
europepmc   +1 more source

Global patterns and inequalities in healthy aging: a multidimensional analysis using composite index and explainable AI. [PDF]

Front Public Health
Çelik S, Köroğlu CZ.
europepmc   +1 more source

Structural Variant benchmarking frameworks: Parameterization, matching logic, and evaluation assumptions presented through HG002 and NA12878. [PDF]

PLoS Comput Biol
Maden G, Baysan M, Aydın N.
europepmc   +1 more source

InversePep: Diffusion-driven structure-based inverse folding for functional peptides. [PDF]

Brief Bioinform
Chilakamarri SK, Kasturi SR, Yerrabandla SPR, Gogte S, Kondaparthi V.   +4 more
europepmc   +1 more source

Cartoon style generation of animated image scenes based on improved GAN and RetNet. [PDF]

PLoS One
Jin Z, Yang L.
europepmc   +1 more source

Geodesics of the Structural Similarity index [PDF]

Applied Mathematics Letters, 2012
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhou Wang, Dominique Brunet, Edward R Vrscay   +2 more
exaly   +3 more sources

On the Mathematical Properties of the Structural Similarity Index [PDF]

IEEE Transactions on Image Processing, 2012
Since its introduction in 2004, the structural similarity (SSIM) index has gained widespread popularity as a tool to assess the quality of images and to evaluate the performance of image processing algorithms and systems. There has been also a growing interest of using SSIM as an objective function in optimization problems in a variety of image ...
Zhou Wang, Dominique Brunet, Edward R Vrscay   +2 more
exaly   +3 more sources

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A comprehensive assessment of the structural similarity index

Signal, Image and Video Processing, 2009
In recent years the structural similarity index has become an accepted standard among image quality metrics. Made up of three components, this technique assesses the visual impact of changes in image luminance, contrast, and structure. Applications of the index include image enhancement, video quality monitoring, and image encoding.
Richard Dosselmann
exaly   +2 more sources