Results 261 to 270 of about 1,706,953 (315)

A Regional Analysis of Diversity, Equity, and Inclusion Initiatives in Plastic Surgery Residency Programs. [PDF]

open access: yesPlast Reconstr Surg Glob Open
Choi DG   +5 more
europepmc   +1 more source

Genetic renaissance: a cross-regional analysis of the approval landscape of authorised gene therapeutics in paediatrics, challenges and future prospects. [PDF]

open access: yesJ Community Genet
Ahmad A   +7 more
europepmc   +1 more source

Regional analysis of myelin basic protein across postnatal brain development of C57BL/6J mice. [PDF]

open access: yesFront Neuroanat
Ozarkar SS   +5 more
europepmc   +1 more source

Methods of Regional Analysis: An Introduction to Regional Science.

Journal of the American Statistical Association, 1961
(1962). Methods of Regional Analysis: An Introduction to Regional Science. Economic Geography: Vol. 38, No. 1, pp. 88-90.
W. L. Garrison   +7 more
openaire   +1 more source

Spatial Intelligence for Regional Analysis

International Journal of Applied Geospatial Research, 2014
With the announcement of open information policy by the Chinese government, there has been lots of development in government statistics, Census data, and GIS data. That information provides rich reference for regional analysis in China. The primary challenges under rapid data growth include how to efficiently integrate those space-time data, provide ...
Chenfeng Zhang   +4 more
openaire   +1 more source

Agglomerative Region-Based Analysis

2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 2020
A fundamental problem in brain imaging is the identification of volumes whose features distinguish two populations. One popular solution, Voxel-Based Analyses (VBA), glues together contiguous voxels with significant intra-voxel population differences. VBA's output regions may not be spatially consistent: each voxel may show a unique population effect ...
Matt Higger   +3 more
openaire   +1 more source

Scene analysis using regions

Artificial Intelligence, 1970
Abstract One of the vision projects of the Stanford Research Institute Artificial Intelligence Group is described. The method employed uses regions as basic data and progresses by successive partitioning of the picture toward an interpretable “goal partition”, which is then explored by a heuristic decision tree.
Claude R. Brice, Claude L. Fennema
openaire   +1 more source

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