699 citations
- Siemens Healthcare (United States)US19 papers
- Siemens Healthineers (Germany)DE11 papers
- Friedrich-Alexander-Universität Erlangen-NürnbergDE7 papers
- Princeton UniversityUS5 papers
- Siemens (Germany)DE5 papers
- Universidade Federal do Rio de JaneiroBR5 papers
- Chinese Academy of SciencesCN3 papers
- King's College LondonGB3 papers
- Massachusetts Institute of TechnologyUS3 papers
- New York UniversityUS3 papers
- Northwestern UniversityUS3 papers
- Rensselaer Polytechnic InstituteUS3 papers
4 papers · 1 filter
Semantic Context Forests for Learning-Based Knee Cartilage Segmentation in 3D MR Images
Quan Wang, Dijia Wu, Le Lu +3
The automatic segmentation of human knee cartilage from 3D MR images is a useful yet challenging task due to the thin sheet structure of the cartilage with diffuse boundaries and i…
An Explanation Mechanism for Bayesian Inferencing Systems
Steven W. Norton
Explanation facilities are a particularly important feature of expert system frameworks. It is an area in which traditional rule-based expert system frameworks have had mixed resul…
Knowledge Engineering Within A Generalized Bayesian Framework
Stephen W. Barth, Steven W. Norton
During the ongoing debate over the representation of uncertainty in Artificial Intelligence, Cheeseman, Lemmer, Pearl, and others have argued that probability theory, and in partic…
Learning Bayesian Nets that Perform Well
Russell Greiner, Adam J. Grove, Dale Schuurmans
A Bayesian net (BN) is more than a succinct way to encode a probabilistic distribution; it also corresponds to a function used to answer queries. A BN can therefore be evaluated by…