Results 81 to 90 of about 3,858,794 (311)

Evaluation of Dried Plasma Spot‐Based Quantification of Glial Fibrillary Acidic Protein as a Disease‐Associated Biomarker in Neuromyelitis Optica Spectrum Disorder

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To evaluate the diagnostic accuracy of glial fibrillary acidic protein (GFAP) measured in dried plasma spots versus conventional plasma‐ and serum‐GFAP testing for assessment of disease severity in aquaporin‐4 immunoglobulin G–positive neuromyelitis optica spectrum disorder (AQP4‐IgG+ NMOSD).
Felix Wohlrab, Evelyn Alvarez, Roua Hamdi, Bingqing Zhang, Hayeun Ji, Niyati Jhaveri, Patrick Schindler, Pedro Sanchez, Pia S. Sperber, Tanja Schmitz‐Hübsch, Frederike C. Oertel, Nisa Vorasoot, Najib Kissani, Falko Böhringer, Jens Kuhle, Anne‐Katrin Pröbstel, Xiao‐Jun Ma, Péter Körtvelyessy, Patrick Waters, Friedemann Paul   +19 more
wiley   +1 more source

IMAGE QUATY ASSESSMENT FOR VHR REMOTE SENSING IMAGE CLASSIFICATION [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016
The data from remote sensing images are widely used for characterizing land use and land cover at present. With the increasing availability of very high resolution (VHR) remote sensing images, the remote sensing image classification becomes more and more
Z. Li, Z. Li, L. Shen, L. Shen, L. Wu, L. Wu   +5 more
doaj   +1 more source

Endothelial Cell Proteins as Biomarkers in Susac Syndrome

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Susac syndrome (SS) is a rare CD8+ T cell–mediated microangiopathy affecting the brain, retina, and auditory labyrinth. Endothelial injury is thought to be a central mechanism; however, no circulating disease biomarkers are known. We performed targeted proteomic profiling to identify circulating endothelial‐associated proteins as ...
Rohit Benjamin, Yue Andy Qi, Ying Hao, Catherine DeMarino, Samuel Darko, Irene Cortese, Daniel S. Reich, María I. Gaitán, Steven Jacobson, Bridgett J. Billioux, Bryan Smith, Avindra Nath   +11 more
wiley   +1 more source

L-2-SIFT: SIFT feature extraction and matching for large images in large-scale aerial photogrammetry

, 2014
The primary contribution of this paper is an efficient feature extraction and matching implementation for large images in large-scale aerial photogrammetry experiments.
Huang, Shoudong, Yan, Lei, Huang, S, Dissanayake, Gamini, Zhao, Liang, Sun, Yanbiao, Yan, L, Dissanayake, G, Sun, Y, Zhao, L   +9 more
core   +1 more source

Enhancing Remote Sensing Image Resolution Using Convolutional Neural Networks

Jurnal Elektronika dan Telekomunikasi
Remote sensing imagery is a very interesting topic for researchers, especially in the fields of image and pattern recognition. Remote sensing images differ from ordinary images taken with conventional cameras.
Julian Supardi, Samsuryadi Samsuryadi, Hadipurnawan Satria, Philip Alger M. Serrano, Arnelawati Arnelawati   +4 more
doaj   +1 more source

Association Between Neurofilament Light Chain and Real‐World Ambulatory Function in Progressive MS

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Neurofilament light chain (NfL) is a biomarker of neuroaxonal injury in multiple sclerosis (MS), yet associations with functional outcomes remain unclear. Longitudinal associations between serum NfL (sNfL) and daily step count (STEPS) from wearable devices were assessed in a large international progressive MS cohort.
Gabby B. Joseph, Megan McCune, Riley Bove, Ahmed Abdelhak, Bruce A. C. Cree, Valerie J. Block   +5 more
wiley   +1 more source

Information extraction using optical and radar remote sensing data fusion [PDF]

, 2012
Information extraction from multi-sensor remote sensing imagery is an important and challenging task for many applications such as urban area mapping and change detection.
Palubinskas, Gintautas, Reinartz, Peter, Makarau, Aliaksei   +2 more
core  

Dynamic Hierarchical Segmentation of Remote Sensing Images [PDF]

, 2013
Recursive tree-structured segmentation is a powerful tool to deal with the non-stationary nature of images. By fitting model parameters to each region/class under analysis one can adapt the segmentation algorithm to the local image statistics, thus improving accuracy.
SCARPA, GIUSEPPE, MASI, GIUSEPPE, GAETANO, RAFFAELE, VERDOLIVA, LUISA, POGGI, GIOVANNI   +4 more
openaire   +3 more sources

Artificial Intelligence in Systemic Sclerosis: Clinical Applications, Challenges, and Future Directions

Arthritis Care &Research, EarlyView.
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos, José Miguel Sequí‐Sabater, Diego Benavent   +2 more
wiley   +1 more source

Acknowledgement to Reviewers of Remote Sensing in 2013

, 2014
The publisher and editors of the Remote Sensing would like to express their sincere gratitude to the following reviewers for assessing manuscripts in 2013 for Remote ...
Remote Sensing Editorial Office
core   +1 more source