Results 21 to 30 of about 8,221,919 (357)
With mounting data on its accuracy and prognostic value, cardiovascular magnetic resonance (CMR) is becoming an increasingly important diagnostic tool with growing utility in clinical routine.
J. Schulz-Menger +11 more
semanticscholar +1 more source
Background: The need for having reporting radiographers has been a part of the discussion in the last decade in Zambia. This is due to acritical shortage of radiologists, an increase in demand for imaging services, and the radiographers' desire for ...
O. Bwanga +3 more
semanticscholar +1 more source
This paper presents a selected aspect of research conducted within the Gaugamela Project, which seeks to finally identify the location of one of the most important ancient battles: the Battle of Gaugamela (331 BCE).
Tomasz Pirowski +2 more
doaj +1 more source
Extrinsic Calibration of Camera Networks Using a Sphere
In this paper, we propose a novel extrinsic calibration method for camera networks using a sphere as the calibration object. First of all, we propose an easy and accurate method to estimate the 3D positions of the sphere center w.r.t.
Junzhi Guan +6 more
doaj +1 more source
Isotropic non-white matter partial volume effects in constrained spherical deconvolution
Diffusion-weighted (DW) magnetic resonance imaging (MRI) is a noninvasive imaging method, which can be used to investigate neural tracts in the white matter (WM) of the brain.
Timo eRoine +6 more
doaj +1 more source
Search for the waterfalls in Ethiopia using remote sensing data
Waterfalls are specific hydrological and hydrobiological objects that often serve as the natural obstacles for spreading of aquatic animal species, resulting as discontinuous range of these species.
Alexey V. Kutuzov
doaj +1 more source
In this paper, we present a complete loop detection and correction system developed for data originating from lidar scanners. Regarding detection, we propose a combination of a global point cloud matcher with a novel registration algorithm to determine ...
Michiel Vlaminck +2 more
doaj +1 more source
Logic Tensor Networks for Semantic Image Interpretation [PDF]
Semantic Image Interpretation (SII) is the task of extracting structured semantic descriptions from images. It is widely agreed that the combined use of visual data and background knowledge is of great importance for SII. Recently, Statistical Relational
Ivan Donadello, L. Serafini, A. Garcez
semanticscholar +1 more source
With the increasing application of deep neural networks, their performance requirements in various fields are increasing. Deep neural network models with higher performance generally have a high number of parameters and computation (FLOPs, Floating Point
Xiaoyang Zhao +4 more
doaj +1 more source
Compensating Supervision Incompleteness with Prior Knowledge in Semantic Image Interpretation [PDF]
Semantic Image Interpretation is the task of extracting a structured semantic description from images. This requires the detection of visual relationships: triples 〈subject, relation, object〉 describing a semantic relation between a subject and an object.
Ivan Donadello, L. Serafini
semanticscholar +1 more source

