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pro vyhledávání: '"Kippenhan, Jonathan Shane"'
Methods for analysis of data representing concentration profiles of platelet analogues in blood flow
Methods for the estimation of particle concentration profiles from numerical data are presented. The estimation techniques described, which involve the use of Fourier transforms, make more efficient use of data than do simple histogram techniques. Ad
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::427f63a819886de6f2c848e7d01b6869
Autor:
Kippenhan, Jonathan Shane, Barker, Warren W., Nagel, Joachim H., Grady, Cheryl, Duara, Ranjan
Neural-network classification methods were applied to studies of FDG-PET images of the brain acquired from a total of 77 "probable" Alzheimer's disease and 124 normal subjects at two different centers. Methods: Classification performances, as determi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f8735732f62371ea265d2852041e4dad
Autor:
Kippenhan, Jonathan Shane, Barker, Warren W., Pascal, Shlomo, Nagel, Joachim H., Duara, Ranjan
The value of PET as an objective diagnostic tool for dementia may depend on the degree to which abnormal metabolic patterns can be detected by quantitative classification methods. In these studies, a neural-network classifier based on coarse region o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::659ce9c927dc287daccbe6136ebbe1a6
http://elib.uni-stuttgart.de/handle/11682/7207
http://elib.uni-stuttgart.de/handle/11682/7207
Optimization and evaluation of a neural network classifier for PET scans of memory disorder subjects
Autor:
Kippenhan, Jonathan Shane, Barker, Warren W., Pascal, Shlomo, Duara, Ranjan, Nagel, Joachim H.
Back-propagation neural networks were used to classify PET scans as either normal or abnormal, with abnormal subjects defined as subjects who had previously been clinically diagnosed with memory disorders. Numerous neural network experiments were per
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::360a167ed2daff9330046f15c03d3628
The back-propagation neural network algorithm was applied to the analysis of regional patterns in cerebral function, as demonstrated in positron emission tomography (PET). A trained network was able to successfully distinguish PET scans of normal sub
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::314eb3213fb345c6c6a003d779e22e02
http://nbn-resolving.de/urn:nbn:de:bsz:93-opus-54642
http://nbn-resolving.de/urn:nbn:de:bsz:93-opus-54642
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