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A. Graham Gash

dblp:06/381 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2003
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Medical and health informatics · 100%
Computer graphics and multimedia
1 paper
Geometric modeling and processing · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Medical and health informatics › medical imaging
medical image analysis
0.012003
Deformable M-Reps for 3D Medical Image Segmentation · Int. J. Comput. Vis. 2003
Medical and health informatics › medical imaging › medical image analysis
medical image segmentation
0.012003
Deformable M-Reps for 3D Medical Image Segmentation · Int. J. Comput. Vis. 2003
Geometric modeling and processing › shape representation
medial representation
0.012003
Deformable M-Reps for 3D Medical Image Segmentation · Int. J. Comput. Vis. 2003
Geometric modeling and processing
shape modeling
0.012003
Deformable M-Reps for 3D Medical Image Segmentation · Int. J. Comput. Vis. 2003

Methods — techniques the papers use, named apart from their topics

m-reps · 0.1deformable models · 0.1
YearPublicationVenuePosition
2003 Deformable M-Reps for 3D Medical Image Segmentation
Stephen M. Pizer, P. Thomas Fletcher, Sarang C. Joshi, Andrew Thall, James Z. Chen, Yonatan Fridman, Daniel S. Fritsch, A. Graham Gash, John M. Glotzer, Michael R. Jiroutek, Conglin Lu, Keith E. Muller, Gregg Tracton, Paul A. Yushkevich, Edward L. Chaney
Int. J. Comput. Vis.8