F3RNet: full-resolution residual registration network for deformable image registration
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Computer Assisted Radiology and Surgery"
DOI: 10.1007/s11548-021-02359-4
Abstract: Deformable image registration (DIR) is essential for many image-guided therapies. Recently, deep learning approaches have gained substantial popularity and success in DIR. Most deep learning approaches use the so-called mono-stream high-to-low, low-to-high network structure and… read more here.
Keywords: image; network; registration network; registration ... See more keywords
Marine aquaculture mapping using GF-1 WFV satellite images and full resolution cascade convolutional neural network
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Digital Earth"
DOI: 10.1080/17538947.2022.2133184
Abstract: ABSTRACT Growing demand for seafood and reduced fishery harvests have raised intensive farming of marine aquaculture in coastal regions, which may cause severe coastal water problems without adequate environmental management. Effective mapping of mariculture areas… read more here.
Keywords: marine aquaculture; neural network; resolution; full resolution ... See more keywords
Full Resolution Deconvolution of Complex Faraday Spectra
Sign Up to like & getrecommendations! Published in 2023 at "Monthly Notices of the Royal Astronomical Society"
DOI: 10.1093/mnras/stad1090
Abstract: Polarized synchrotron emission from multiple Faraday depths can be separated by calculating the complex Fourier transform of the Stokes’ parameters as a function of the wavelength squared, known as Faraday Synthesis. As commonly implemented, the… read more here.
Keywords: faraday spectra; beam; restoring beam; faraday ... See more keywords
Full-Resolution Network and Dual-Threshold Iteration for Retinal Vessel and Coronary Angiograph Segmentation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2022.3188710
Abstract: Vessel segmentation is critical for disease diagnosis and surgical planning. Recently, the vessel segmentation method based on deep learning has achieved outstanding performance. However, vessel segmentation remains challenging due to thin vessels with low contrast… read more here.
Keywords: network; vessel; segmentation; resolution network ... See more keywords
Deep Recurrent Network for Fast and Full-Resolution Light Field Deblurring
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2019.2947379
Abstract: The popularity of parallax-based image processing is increasing while in contrast early works on recovering sharp light field from its blurry input (deblurring) remain stagnant. State-of-the-art blind light field deblurring methods suffer from several problems… read more here.
Keywords: field deblurring; field; recurrent; full resolution ... See more keywords
A Blind Full Resolution Assessment Method for Pansharpened Images Based on Multistream Collaborative Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3177607
Abstract: Pansharpening aims to fuse a high spatial resolution (HR) panchromatic (PAN) image and a low spatial resolution (LR) multispectral (MS) image to obtain an HR-MS image. However, due to the lack of the real HR-MS… read more here.
Keywords: resolution; image; method; assessment method ... See more keywords
Full-resolution, full-field-of-view, and high-quality fast Fourier single-pixel imaging.
Sign Up to like & getrecommendations! Published in 2022 at "Optics letters"
DOI: 10.1364/ol.475956
Abstract: Fourier single-pixel imaging (FSI) uses Fourier basis patterns for spatial light modulation to acquire the Fourier spectrum of the object image. The object image can be reconstructed via an inverse Fourier transform. However, the Fourier… read more here.
Keywords: pixel; resolution; high quality; fourier single ... See more keywords