Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Christian Baumgartner"'
Autor:
Christoph Leitner, Jörg Schröttner, Glen A. Lichtwark, Eric Su, Karen Andrea Lara Hernandez, Andreas Konrad, Christian Baumgartner, Markus Tilp, Luke A. Kelly, Annika Kruse, Bernhard Englmair, Robert Jarolim
Publikováno v:
IEEE Transactions on Biomedical Engineering. 69:1920-1930
Biomechanical and clinical gait research observes muscles and tendons in limbs to study their functions and behaviour. Therefore, movements of distinct anatomical landmarks, such as muscle-tendon junctions, are frequently measured. We propose a relia
Publikováno v:
Yearbook of medical informatics. 31(1)
Objectives: In this synopsis, we identify and highlight research papers representing noteworthy developments in signals, sensors, and imaging informatics in 2021. Methods: A broad literature search was conducted on PubMed and Scopus databases. We com
Publikováno v:
Yearbook of Medical Informatics
Summary Objective: To identify and highlight research papers representing noteworthy developments in signals, sensors, and imaging informatics in 2020. Method: A broad literature search was conducted on PubMed and Scopus databases. We combined Medica
Publikováno v:
PLOS ONE. 17:e0276607
High throughput technologies in genomics enable the analysis of small alterations in gene expression levels. Patterns of such deviations are an important starting point for the discovery and verification of new biomarker candidates. Identifying such
Autor:
Theresa Margarethe Rienmüller, Daniela Baumgartner, Karen Andrea Lara Hernandez, Christian Baumgartner
Publikováno v:
Computers in biology and medicine. 130
The use of different cardiac imaging modalities such as MRI, CT or ultrasound enables the visualization and interpretation of altered morphological structures and function of the heart. In recent years, there has been an increasing interest in AI and
Publikováno v:
Yearbook of Medical Informatics
Objective: To identify research works that exemplify recent developments in the field of sensors, signals, and imaging informatics. Method: A broad literature search was conducted using PubMed and Web of Science, supplemented with individual papers t
Autor:
Michael, Netzer, Friedrich, Hanser, Marc, Breit, Klaus M, Weinberger, Christian, Baumgartner, Daniel, Baumgarten
Publikováno v:
Studies in health technology and informatics. 260
Machine learning is one important application in the area of health informatics, however classification methods for longitudinal data are still rare.The aim of this work is to analyze and classify differences in metabolite time series data between gr
Autor:
Armin Graber, Laurin A.J. Müller, Christian Baumgartner, Klaus M. Weinberger, Matthias Dehmer, Karl G. Kugler, Michael Netzer
Publikováno v:
Journal of Theoretical Biology. 310:216-222
The identification and interpretation of metabolic biomarkers is a challenging task. In this context, network-based approaches have become increasingly a key technology in systems biology allowing to capture complex interactions in biological systems
Publikováno v:
TU Graz
Machine learning has a great potential to mine potential markers from high-dimensional metabolic data without any a priori knowledge. Exemplarily, we investigated metabolic patterns of three severe metabolic disorders, PAHD, MCADD, and 3-MCCD, on whi
Autor:
Matthias Dehmer, Christian Baumgartner, Klaus R. Liedl, Michael Netzer, Kanthida Kusonmano, Armin Graber
Publikováno v:
The Scientific World Journal, Vol 2012 (2012)
The Scientific World Journal
The Scientific World Journal
A pooling design can be used as a powerful strategy to compensate for limited amounts of samples or high biological variation. In this paper, we perform a comparative study to model and quantify the effects of virtual pooling on the performance of th