Results 211 to 220 of about 509,427 (264)

Clinical Validation of Artificial Intelligence (AI)‐based Cartilage Segmentation Predicting Knee Replacement

Arthritis Care &Research, Accepted Article.
Objective For cartilage morphology to serve as a scalable endpoint in clinical trials, analyses should be performed automatically without human interaction. To clinically validate artificial intelligence (AI)‐based analysis, we studied cartilage loss from MRI prior to knee replacement.
Felix Eckstein, David J. Hunter, C. Kent Kwoh, Wolfgang Wirth   +3 more
wiley   +1 more source

Beyond Visual Scoring: Computational CT‐analysis for HRCT based quantification of Interstitial Lung Disease in Inflammatory Rheumatic Disease

Arthritis Care &Research, Accepted Article.
Interstitial lung disease (IRD‐ILD) is a significant cause of morbidity and mortality in patients with inflammatory rheumatic disorders (IRD). High‐resolution computed tomography (HRCT) is widely considered the gold standard for the non‐invasive assessment of ILD; however, its interpretation is constrained by substantial inter‐observer variability and ...
Alexander Pfeil, Tobias Hoffmann, Ulf Teichgräber, Diane Renz, Denise Beckmann, Gunter Wolf, Nicole Schadewaldt, Bianca Lassen‐Schmidt   +7 more
wiley   +1 more source

Erratum: Crestol et al., "Menopause status and within-group differences in chronological age affect the functional neural correlates of spatial context memory in middle-aged females". [PDF]

J Neurosci
europepmc   +1 more source

Spatial Cognition Adapts to Social Context.

, 2011
Duran, Nicholas, Dale, Rick
openaire   +2 more sources

Videos in context for telecommunication and spatial browsing.

openaire   +2 more sources

Some of the next articles are maybe not open access.

Related searches:

Spatial Context in Recognition

Perception, 1996
In recognizing objects and scenes, partial recognition of objects or their parts can be used to guide the recognition of other objects. Here, the role of individual objects in the recognition of complete figures and the influence of contextual information on the identification of ambiguous objects were investigated.
M, Bar, S, Ullman
openaire   +2 more sources

Randomized Spatial Context for Object Search

IEEE Transactions on Image Processing, 2015
Searching visual objects in large image or video data sets is a challenging problem, because it requires efficient matching and accurate localization of query objects that often occupy a small part of an image. Although spatial context has been shown to help produce more reliable detection than methods that match local features individually, how to ...
Yuning Jiang 0001, Jingjing Meng, Junsong Yuan 0001, Jiebo Luo 0001   +3 more
openaire   +2 more sources

Spatially-Aware Context Neural Networks

IEEE Transactions on Image Processing, 2021
A variety of computer vision tasks benefit significantly from increasingly powerful deep convolutional neural networks. However, the inherently local property of convolution operations prevents most existing models from capturing long-range feature interactions for improved performances.
Dongsheng Ruan, Yu Shi, Jun Wen 0001, Nenggan Zheng, Min Zheng   +4 more
openaire   +2 more sources

Spatial Embedding and Spatial Context

2009
A serious issue in urban 2D remote sensing is that even if you can identify linear features it is often difficult to combine these to form the object you want - the building. The classical example is of trees overhanging walls and roofs: it is often difficult to join the linear pieces together.
openaire   +1 more source

Episodic memory for spatial context biases spatial attention

Experimental Brain Research, 2008
The study explores the bottom-up attentional consequences of episodic memory retrieval. Individuals studied words (Experiment 1) or pictures (Experiment 2) presented on the left or on the right of the screen. They then viewed studied and new stimuli in the centre of the screen.
CIARAMELLI, ELISA, Lin O., Moscovitch M.
openaire   +3 more sources