Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Alexander E. Nikulin"'
Publikováno v:
Magnetic Resonance Insights, Vol 2014, Iss 7, Pp 1-14 (2014)
Magnetic Resonance Insights
Magnetic Resonance Insights, Vol 7 (2014)
Magnetic Resonance Insights
Magnetic Resonance Insights, Vol 7 (2014)
Metabolomics is a relatively new technique that is gaining importance very rapidly. MRS-based metabolomics, in particular, is becoming a useful tool in the study of body fluids, tissue biopsies and whole organisms. Advances in analytical techniques a
Autor:
Alexander E. Nikulin, Brion Dolenko, Uwe Himmelreich, Roger Bourne, Ray L. Somorjai, Michael J. Cousins, Cynthia L. Lean, Carolyn E. Mountford, Annie Woodhouse, Philip J. Siddall, Peter Stanwell
Publikováno v:
Anesthesia & Analgesia. 102:1164-1168
Magnetic resonance (MR) spectroscopy is a noninvasive technique that can be used to detect and measure the concentration of metabolites and neurotransmitters in the brain and other organs. We used in vivo (1)H MR spectroscopy in subjects with low bac
Autor:
Brion Dolenko, M. Mandelzweig, Alexander E. Nikulin, Aleksander B. Demko, R. L. Somorjai, Richard Baumgartner, Nicolino J. Pizzi
Publikováno v:
Journal of Biomedical Informatics. 37(5):366-379
We introduce a distance (similarity)—based mapping for the visualization of high-dimensional patterns and their relative relationships. The mapping preserves exactly the original distances between points with respect to any two reference patterns i
Autor:
Sinead Doran, Ray L. Somorjai, Uwe Himmelreich, Cynthia L. Lean, Alexander E. Nikulin, Carolyn E. Mountford, Jeanette Philips, Greg L Falk, Brion Dolenko, Peter Russell
Publikováno v:
The American Journal of Surgery. 185:232-238
Background Barrett’s esophagus is thought to be a precursor of adenocarcinoma. The incidence of adenocarcinoma of the lower esophagus in the Western world is rising and accounts for more than 40% of esophageal carcinomas in males. It is not possibl
Autor:
Brian Dolenko, Ray L. Somorjai, Ian C.P. Smith, Charles N. Bernstein, Tedros Bezabeh, Alexander E. Nikulin
Publikováno v:
American Journal of Gastroenterology. 96:442-448
OBJECTIVES: The distinction between the two major forms of inflammatory bowel diseases (IBD), i.e., ulcerative colitis (UC) and Crohn’s disease is sometimes difficult and may lead to a diagnosis of indeterminate colitis. We have used 1 H magnetic r
Publikováno v:
Journal of biomedical informatics. 44(5)
For two-class problems, we introduce and construct mappings of high-dimensional instances into dissimilarity (distance)-based Class-Proximity Planes. The Class Proximity Projections are extensions of our earlier relative distance plane mapping, and t
Autor:
Matthias Otto, Brion Dolenko, Alexander E. Nikulin, Wolfgang Petrich, Ray L. Somorjai, Helmut Greger, Franz Keller, Arnulf Staib, Johanna Früh, Gerhard Werner, Stephan Jacob, Ortrud Quarder, Manfred Ganz, Hans Wielinger
Publikováno v:
Applied optics. 39(19)
To benefit from the full information content of the mid-IR spectra of human sera, we directly related the overall shape of the spectra to the donors' disease states. For this approach of disease pattern recognition we applied cluster analysis and dis
Autor:
Alexander E. Nikulin, Brion Dolenko, A. Bamgbade, Erinija Pranckeviciene, R. L. Somorjai, Richard Baumgartner
Publikováno v:
Artificial Intelligence in Medicine ISBN: 9783540278313
AIME
AIME
Extraction of meaningful spectral signatures (sets of features) from high-dimensional biomedical datasets is an important stage of biomarker discovery. We present a novel feature extraction algorithm for supervised classification, based on the eviden
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d069529e679cdd1c86c5920942b2bc1
https://doi.org/10.1007/11527770_62
https://doi.org/10.1007/11527770_62
Autor:
Roxanne Deslauriers, Brion Dolenko, David N. Rush, John Rendell, Alexander E. Nikulin, M. Glogowski, R. L. Somorjai, Peter Nickerson, Anthony Shaw
We describe a three-stage classification strategy, specifically designed to classify infrared (IR) and/or nuclear magnetic resonance (MR) spectra of biofluids (F) and tissues (T). We apply the strategy to distinguish between normal renal transplants
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::29582995d256f063803df406bd137b32
https://nrc-publications.canada.ca/eng/view/object/?id=39b9afe5-1c71-47dc-9d91-40da9ac402a3
https://nrc-publications.canada.ca/eng/view/object/?id=39b9afe5-1c71-47dc-9d91-40da9ac402a3
Autor:
Peter Malycha, R. L. Somorjai, Cynthia L. Lean, Carolyn E. Mountford, Uwe Himmelreich, D J Gillett, Alexander E. Nikulin, I. C. P. Smith, Brion Dolenko, Laurence Gluch, Peter Russell, Bruce Barraclough
Publikováno v:
The British journal of surgery. 88(9)
Background The aim was to develop robust classifiers to analyse magnetic resonance spectroscopy (MRS) data of fine-needle aspirates taken from breast tumours. The resulting data could provide computerized, classification-based diagnosis and prognosti