Results 81 to 90 of about 6,602 (196)

Regularized Joint Reconstruction and Slab Combination for Accelerated Three‐Dimensional Multi‐Slab Diffusion‐Weighted Imaging Using Multi‐Scale Energy Models

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To jointly reconstruct high‐resolution diffusion‐weighted volumes and eliminate slab‐boundary artifacts while preserving fine anatomical detail from undersampled 3D multi‐slab k‐space acquisitions. Methods A bilinear forward model was formulated to describe the 3D multi‐slab acquisition, treating the image volume and slab excitation ...
Reza Ghorbani, Jyothi Rikhab Chand, Chu‐Yu Lee, Mathews Jacob, Merry Mani   +4 more
wiley   +1 more source

Spectral weighted sparse unmixing based on adaptive total variation and low-rank constraints

Scientific Reports
Hyperspectral sparse unmixing, an image processing technique, leverages a spectral library enriched with endmember spectral information as a prerequisite.
Chenguang Xu
doaj   +1 more source

Hyperspectral Unmixing With Multi-Scale Convolution Attention Network

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Hyperspectral unmixing is to decompose the mixed pixel into the spectral signatures (endmembers) with their corresponding abundances. However, the ignorance of endmember variability in hyperspectral unmixing results in low performance.
Sheng Hu, Huali Li
doaj   +1 more source

Practical considerations for pathologists when selecting digital pathology systems: an ESDIP guide

The Journal of Pathology, EarlyView.
Abstract The implementation of digital pathology (DP) has been reported across academic, public, and private laboratory settings, providing valuable insights into workflow transformation. However, comparatively little guidance exists on how DP systems should be evaluated prior to acquisition and deployment.
Diana Montezuma, Vincenzo L'Imperio, David Ameisen, Rita Carvalho, Peter Boor, Sara P Oliveira, Nadieh Khalili, Inti Zlobec, Norman Zerbe, Jordi Temprana‐Salvador   +9 more
wiley   +1 more source

Mapping Scytonemin Pigment Content and Biocrust Functional Indicators Using High‐Resolution Multispectral Imagery

Remote Sensing in Ecology and Conservation, EarlyView.
We demonstrate that high‐resolution multispectral imagery combined with machine learning can accurately predict key biocrust functional indicators, particularly the UV‐protective pigment scytonemin, across dryland ecosystems. Using fine‐scale imagery acquired in the Chihuahuan Desert and Colorado Plateau, we identified spectral bands strongly ...
Raúl Román, Tong Qiu, Fernando T. Maestre, Elizabeth A. La Rue, Sergio Vargas Zesati, Anthony Schaefer, Ryan V. Trexler, Nicole Pietrasiak, Estelle Couradeau   +8 more
wiley   +1 more source

Two‐Photon Endomicroscopy for Image‐Guided Magnetic Micro‐Agents

Small, EarlyView.
Image‐guided manipulation of magnetic micro‐agents requires localized fluorescence feedback capable of resolving dynamic interactions in confined environments. This study introduces a two‐photon endomicroscopy platform for real‐time motion tracking, multicolor micro‐agent discrimination, and imaging through biological tissue.
Juan J. Huaroto, Gert‐willem Römer, Ivo M. Vellekoop, Sarthak Misra   +3 more
wiley   +1 more source

FDX1 Depletion Activates CD8+ T Cell Antitumor Immunity by Promoting DMBT1 Secretion in Cuproptosis of Colorectal Cancer

Cancer Science, EarlyView.
Elesclomol‐induced cuproptosis potently activates both innate and adaptive antitumor immunity, especially CD8+ T cell immunity. FDX1 serves as a central regulator of CD8+ T cell functionality through DMBT1 downregulation during cuproptosis in colorectal cancer.
Jieqiong Wu, Zaixi Lian, Mingzhou Li, Xingtu Qin, Xiaoyu Lei, Lihua Yang, Lin Bing, Qiuyue Li, Lingyan Zhou, Zhiyang Ma, Xuemei Xu, Jinghao Huang, Zilong Chen, Lijie Chen, Lingjie Zhang, Zhiyuan Xiao, Xiangyu Jian, Xiaoqin Zhang, Yanqing Ding, Yaping Ye, Li Liang, Hongli Jiao, Shuyang Wang   +22 more
wiley   +1 more source

SSF-Net: A Spatial–Spectral Features Integrated Autoencoder Network for Hyperspectral Unmixing

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
In recent years, deep learning has received tremendous attention in the field of hyperspectral unmixing (HU) due to its powerful learning capabilities.
Bin Wang, Huizheng Yao, Dongmei Song, Jie Zhang, Han Gao   +4 more
doaj   +1 more source

Spatial and temporal scales in plant phenotyping for crop water stress assessment: A review

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Water stress is a major limiting factor for crop productivity worldwide, and its impacts are intensifying due to climate variability and increasing water scarcity. This review focuses on the spatial and temporal scales in plant phenotyping as a critical approach to improving crop water‐stress assessment and supporting precision water ...
Daniel Kingsley Cudjoe, Yazhou Sun, Sanai Li, Wenxuan Guo   +3 more
wiley   +1 more source

Hybrid Hyperspectral Unmixing Using Fusion Mamba and Performer Attention

IEEE Access
Hyperspectral unmixing is emerging as a cutting-edge technology with applications across various areas of remote sensing. Several deep learning models, including transformer-based models, have been developed to improve unmixing accuracy.
M. Sreejam, Agilandeeswari Loganathan
doaj   +1 more source