Results 21 to 30 of about 9,895,443 (300)

Safety and effect of Neuroform Atlas stent in the treatment of symptomatic intracranial stenosis: A single-center experience

Heliyon, 2021
Background: Vascular intracranial stenosis (IS) is a significant cause of acute ischemic stroke (AIS). This single-center study aims to show that symptomatic IS treatment by using the Neuroform Atlas stent (Stryker neurovascular, Kalamazoo, MI, USA ...
Orazio Buonomo, Enricomaria Mormina, Antonio Armando Caragliano, Agostino Tessitore, Antonio Pitrone, Mariano Velo, Marco Cavallaro, Carmela Visalli, Francesca Granata, Carmela Vadalà, Sergio Lucio Vinci   +10 more
doaj   +1 more source

2D Image Relighting with Image-to-Image Translation

CoRR, 2020
12 pages, 52 Postscript figures, uses cvpr_eso.sty eso-pic.sty ruler ...
Paul Gafton, Erick Maraz
openaire   +2 more sources

Magnetic Resonance Angiography and Cisternography fused images in acute ischemic stroke may save time during endovascular procedure revealing vessel anatomy

Heliyon, 2022
Background and purpose: Endovascular treatment (EVT) is a time-dependent procedure that aims to remove the arterial blood flow obstruction in brain vessels in acute ischemic stroke.
Enricomaria Mormina, Agostino Tessitore, Marco Cavallaro, Antonio Armando Caragliano, Orazio Buonomo, Mirta Longo, Francesca Granata, Michele Caponnetto, Sergio Lucio Vinci   +8 more
doaj   +1 more source

Object Detection in Optical Remote Sensing Images: A Survey and A New Benchmark [PDF]

Isprs Journal of Photogrammetry and Remote Sensing, 2019
Substantial efforts have been devoted more recently to presenting various methods for object detection in optical remote sensing images. However, the current survey of datasets and deep learning based methods for object detection in optical remote ...
Ke Li, G. Wan, Gong Cheng, L. Meng, Junwei Han   +4 more
semanticscholar   +1 more source

CNN-Generated Images Are Surprisingly Easy to Spot… for Now [PDF]

Computer Vision and Pattern Recognition, 2019
In this work we ask whether it is possible to create a "universal" detector for telling apart real images from these generated by a CNN, regardless of architecture or dataset used. To test this, we collect a dataset consisting of fake images generated by
Sheng-Yu Wang, Oliver Wang, Richard Zhang, Andrew Owens, Alexei A. Efros   +4 more
semanticscholar   +1 more source

SPECTRAL ANALYSIS OF IMAGES OF PLANTS UNDER STRESS USING A CLOSE-RANGE CAMERA [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023
Plants signal their health in a broader spectrum than we can see with our eyes. We compared sunlight reflectance on plants at spectral wavelengths ranging from 430 nm to 870 nm in our study.
M. Goebel, D. Iwaszczuk
doaj   +1 more source

Radiomics: Images Are More than Pictures, They Are Data

Radiology, 2015
This report describes the process of radiomics, its challenges, and its potential power to facilitate better clinical decision making, particularly in the care of patients with cancer.
R. Gillies, Paul Kinahan, H. Hricak
semanticscholar   +1 more source

Religie w komiksach. Wstęp

Images, 2023
Zdarza się, że gdy czytamy komiksy, to myślimy o religii, o jakimś jej aspekcie. Zdarza się również, że komiksy same w sobie, bez względu na treść, są dla nas źródłem przeżyć, które uznajemy przynajmniej za metafory doświadczen ...
Redakcja Images
doaj  

Suggestive evidence of the genetic association of TMOD1 and PTCSC2 polymorphisms with thyroid carcinoma in the Chinese Han population

BMC Endocrine Disorders, 2022
Background The purpose of this study was to survey the associations of six single nucleotide polymorphisms (SNPs) in the TMOD1 and PTCSC2 genes with thyroid carcinoma (TC).
Kaijun Tong, Chang Zhang, Tingting Yang, Rongbiao Guo, Xinyuan Wang, Renyang Guan, Tianbo Jin   +6 more
doaj   +1 more source

Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm

IEEE Transactions on Medical Imaging, 2001
The finite mixture (FM) model is the most commonly used model for statistical segmentation of brain magnetic resonance (MR) images because of its simple mathematical form and the piecewise constant nature of ideal brain MR images.
Yongyue Zhang, M. Brady, Stephen M. Smith   +2 more
semanticscholar   +1 more source