Super-resolution reconstruction of neonatal brain magnetic resonance images via residual structured sparse representation
Sign Up to like & getrecommendations! Published in 2019 at "Medical image analysis"
DOI: 10.1016/j.media.2019.04.010
Abstract: Magnetic resonance images of neonates, compared with toddlers, exhibit lower signal-to-noise ratio and spatial resolution. In this paper, we propose a novel method for super-resolution reconstruction of neonate images with the help of toddler images,… read more here.
Keywords: resolution; resolution reconstruction; layer; super resolution ... See more keywords
Diffusion MRI super-resolution reconstruction via sub-pixel convolution generative adversarial network.
Sign Up to like & getrecommendations! Published in 2022 at "Magnetic resonance imaging"
DOI: 10.1016/j.mri.2022.02.001
Abstract: To solve the problem of long sampling time for diffusion magnetic resonance imaging (dMRI), in this study we propose a dMRI super-resolution reconstruction network. This method not only uses a three-dimensional (3D) convolution kernel to… read more here.
Keywords: reconstruction; diffusion; resolution reconstruction; convolution ... See more keywords
High-Resolution Reconstruction of FMT Based on Elastic Net Optimized by Relaxed ADMM
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Biomedical Engineering"
DOI: 10.1109/tbme.2022.3190049
Abstract: Fluorescence Molecular Tomography (FMT), providing thethree-dimensional fluorescent distribution information of specific molecular probes in tumors, is widely applied to detect in vivo tumors. However, the ill-posedness of reconstruction greatly affects the resolution of FMT. Traditional… read more here.
Keywords: fmt; resolution reconstruction; high resolution; resolution ... See more keywords
Unsupervised super-resolution reconstruction of hyperspectral histology images for whole-slide imaging (Errata)
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Biomedical Optics"
DOI: 10.1117/1.jbo.27.5.059801
Abstract: Abstract. Corrections to the published article include values in Table 1 and provision of an omitted reference. read more here.
Keywords: super resolution; resolution reconstruction; hyperspectral histology; reconstruction hyperspectral ... See more keywords
Image Super-Resolution Reconstruction Method for Lung Cancer CT-Scanned Images Based on Neural Network
Sign Up to like & getrecommendations! Published in 2022 at "BioMed Research International"
DOI: 10.1155/2022/3543531
Abstract: The super-resolution (SR) reconstruction of a single image is an important image synthesis task especially for medical applications. This paper is studying the application of image segmentation for lung cancer images. This research work is… read more here.
Keywords: network; super resolution; resolution reconstruction; reconstruction ... See more keywords
The visual human face super-resolution reconstruction algorithm based on improved deep residual network
Sign Up to like & getrecommendations! Published in 2019 at "EURASIP Journal on Advances in Signal Processing"
DOI: 10.1186/s13634-019-0626-4
Abstract: Deep learning is a hot method in face super-resolution reconstruction in recent years, but it needs to further improve the details of reconstructed images and speed up network training. This paper improves the deep residual… read more here.
Keywords: network; resolution reconstruction; super resolution; face super ... See more keywords
High-resolution reconstruction of shortwave infrared polarimetric images using the intensity information of visible images.
Sign Up to like & getrecommendations! Published in 2019 at "Applied optics"
DOI: 10.1364/ao.58.004866
Abstract: Shortwave infrared (SWIR) polarimetric imaging has been found very effective in various applications. However, the low resolution of the SWIR camera severely limits the capacity of this technique. Image reconstruction methods have been developed to… read more here.
Keywords: resolution; resolution reconstruction; shortwave infrared; high resolution ... See more keywords
Fast and High-Resolution Neonatal Brain MRI Through Super-Resolution Reconstruction From Acquisitions With Variable Slice Selection Direction
Sign Up to like & getrecommendations! Published in 2021 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2021.636268
Abstract: The brain of neonates is small in comparison to adults. Imaging at typical resolutions such as one cubic mm incurs more partial voluming artifacts in a neonate than in an adult. The interpretation and analysis… read more here.
Keywords: resolution; resolution reconstruction; super resolution; neonatal brain ... See more keywords
Super-resolution reconstruction, recognition, and evaluation of laser confocal images of hyperaccumulator Solanum nigrum endocytosis vesicles based on deep learning: Comparative study of SRGAN and SRResNet
Sign Up to like & getrecommendations! Published in 2023 at "Frontiers in Plant Science"
DOI: 10.3389/fpls.2023.1146485
Abstract: It is difficult for laser scanning confocal microscopy to obtain high- or ultra-high-resolution laser confocal images directly, which affects the deep mining and use of the embedded information in laser confocal images and forms a… read more here.
Keywords: confocal images; super resolution; resolution reconstruction; resolution ... See more keywords