Results 61 to 70 of about 255,777 (278)

Opto-intelligence spectrometer using diffractive neural networks

Nanophotonics
Spectral reconstruction, critical for understanding sample composition, is extensively applied in fields like remote sensing, geology, and medical imaging.
Wang Ze, Chen Hang, Li Jianan, Xu Tingfa, Zhao Zejia, Duan Zhengyang, Gao Sheng, Lin Xing   +7 more
doaj   +1 more source

Residual Augmented Attentional U-Shaped Network for Spectral Reconstruction from RGB Images

Remote Sensing, 2020
Deep convolutional neural networks (CNNs) have been successfully applied to spectral reconstruction (SR) and acquired superior performance. Nevertheless, the existing CNN-based SR approaches integrate hierarchical features from different layers ...
Jiaojiao Li, Chaoxiong Wu, Rui Song, Yunsong Li, Weiying Xie   +4 more
doaj   +1 more source

High Spectral Resolution Imaging Based on Dual-Camera System With Filter Wheel

IEEE Access, 2022
High spectral and high spatial resolution imaging is necessary in optical imaging. However, the filter wheel imaging system which is composed of band pass filters obtains discrete spectral information, with high spatial resolution, but low spectral ...
Jiakai Yu, Jufeng Zhao, Junjie Zhu, Guangmang Cui   +3 more
doaj   +1 more source

Evolutionary dynamics of the chloroplast genome in Daphne (Thymelaeaceae): comparative analysis with related genera and insights into phylogenetics

FEBS Open Bio, EarlyView.
Comparative analysis of chloroplast genomes from 14 genera of Thymelaeaceae revealed variation in gene content, ranging from 128 to 142 genes, primarily influenced by IR expansion/contraction events and pseudogenization of ndhF, ndhI, and ndhG. Two large inversions were detected within the large single‐copy region, including a synapomorphic inversion ...
Abdullah, Hui Li, Rushan Yan, Chengyu Chen, Madiha Islam, Abdul Majid, Ibrar Ahmed, Parviz Heidari, Xiaoxuan Tian   +8 more
wiley   +1 more source

ICTH: Local-to-Global Spectral Reconstruction Network for Heterosource Hyperspectral Images

Remote Sensing
To address the high cost associated with acquiring hyperspectral data, spectral reconstruction (SR) has emerged as a prominent research area. However, contemporary SR techniques are more focused on image processing tasks in computer vision than on ...
Haozhe Zhou, Zhanhao Liu, Zhenpu Huang, Xuguang Wang, Wen Su, Yanchao Zhang   +5 more
doaj   +1 more source

Spectral reconstruction number for graph K4

Mohyla Mathematical Journal
In this work, we introduce new formulations of inverse spectral problems for weighted graphs in which certain spectral data (namely, the spectra of selected induced subgraphs) uniquely determine the edge weights of the original graph. To quantify this, we define the spectral reconstruction number of a graph Srn(G) as the minimum number of spectra of ...
Oleksandr Averkin, Larisa Tymoshkevych
openaire   +1 more source

Frailty Exacerbates Disability in Progressive Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background To evaluate frailty in severe progressive multiple sclerosis (PMS) and to investigate the underlying mechanisms. Methods This prospective, cross‐sectional, multicenter study enrolled a late severe PMS group requiring skilled nursing (n = 53) and an age, sex, and disease duration‐matched control PMS group (n = 53).
Taylor R. Wicks, Anna Wolska, Diala Ghazal, Dejan Jakimovski, Bianca Weinstock‐Guttman, Alexander Burnham, Niels Bergsland, Michael G. Dwyer, Alan T. Remaley, Robert Zivadinov, Murali Ramanathan   +10 more
wiley   +1 more source

Clustering Algorithm Reveals Dopamine‐Motor Mismatch in Cognitively Preserved Parkinson's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore the relationship between dopaminergic denervation and motor impairment in two de novo Parkinson's disease (PD) cohorts. Methods n = 249 PD patients from Parkinson's Progression Markers Initiative (PPMI) and n = 84 from an external clinical cohort.
Rachele Malito, Chiara Meneghini, Alice Galli, Luca Gallo, Pierfrancesco Mitrotti, Paola Dimartino, Marianna Inglese, Cinzia Zatti, Alessandro Lupini, Andrea Pilotto, Alessandro Padovani, Micol Avenali, Enza Maria Valente, Cristina Tassorelli, Silvia P. Caminiti   +14 more
wiley   +1 more source

Exploiting spatial sparsity for multi-wavelength imaging in optical interferometry

, 2012
Optical interferometers provide multiple wavelength measurements. In order to fully exploit the spectral and spatial resolution of these instruments, new algorithms for image reconstruction have to be developed.
Afonso, Afonso, Baron, Bongard, Bourguignon, Boyd, Delplancke, Donoho, Eckstein, Ferréol Soulez, Fessler, Figueiredo, Fornasier, Frigo, Gillessen, Hestenes, Hofmann, Högbom, Ireland, Jacoby, Jenatton, Kowalski, le Bouquin, Loïc Denis, Marsh, Meimon, Schwarz, Thiébaut, Thiébaut, Thiébaut, Thiébaut, Thiébaut, Vincent, Wang, Wright, Yin, Yuan, Éric Thiébaut   +37 more
core   +3 more sources

Diffusion Spectrum Imaging Maps Early Axonal Loss and a Unique Progressive Signal in Neuronal Intranuclear Inclusion Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To delineate specific in vivo white matter pathology in neuronal intranuclear inclusion disease (NIID) using diffusion spectrum imaging (DSI) and define its clinical relevance. Methods DSI was performed on 42 NIID patients and 38 matched controls.
Kaiyan Jiang, Yixiu Pei, Xiaobao Hu, Ying Xiong, Fang Wang, Yanyan Yu, Min Zhu, Dandan Tan, Meihong Zhou, Daojun Hong, Fuqing Zhou   +10 more
wiley   +1 more source