Zobrazeno 1 - 10
of 53
pro vyhledávání: '"Christian Klenk"'
Autor:
Sabine Farschtschi, Manuel Lengl, Stefan Röhrl, Christian Klenk, Oliver Hayden, Klaus Diepold, Michael W. Pfaffl
Publikováno v:
Animals, Vol 14, Iss 21, p 3156 (2024)
For several years, the determination of a differential cell count of a raw milk sample has been proposed as a more accurate tool for monitoring the udder health of dairy cows compared with using the absolute somatic cell count. However, the required
Externí odkaz:
https://doaj.org/article/efb7933b8e4242e0ae2923ace8487f2e
Autor:
Christian Klenk, Johanna Erber, David Fresacher, Stefan Röhrl, Manuel Lengl, Dominik Heim, Hedwig Irl, Martin Schlegel, Bernhard Haller, Tobias Lahmer, Klaus Diepold, Sebastian Rasch, Oliver Hayden
Publikováno v:
Communications Medicine, Vol 3, Iss 1, Pp 1-10 (2023)
Abstract Background The clinical spectrum of acute SARS-CoV-2 infection ranges from an asymptomatic to life-threatening disease. Considering the broad spectrum of severity, reliable biomarkers are required for early risk stratification and prediction
Externí odkaz:
https://doaj.org/article/cf06a3632a084032a08dcf3c9a2b66e3
Autor:
Christian Klenk, David Fresacher, Stefan Röhrl, Dominik Heim, Manuel Lengl, Simon Schumann, Martin Knopp, Klaus Diepold, Stefan Holdenrieder, Oliver Hayden
Publikováno v:
Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies.
Autor:
Stefan Röhrl, Lukas Bernhard, Manuel Lengl, Christian Klenk, Dominik Heim, Martin Knopp, Simon Schumann, Oliver Hayden, Klaus Diepold
Publikováno v:
Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies.
Autor:
Alice Hein, Stefan Rohrl, Thea Grobel, Manuel Lengl, Nawal Hafez, Martin Knopp, Christian Klenk, Dominik Heim, Oliver Hayden, Klaus Diepold
Publikováno v:
2022 International Joint Conference on Neural Networks (IJCNN).
Autor:
Oliver Hayden, Christian Klenk
Publikováno v:
Cytometry Part A. 99:472-475
Autor:
Katja Peschke, Manuel Lengl, Stefan Röhrl, Carlo Maurer, Christian Klenk, David Fresacher, Farid Harb, Nawal Hafez, Felix Orben, Rupert Öllinger, Joanna Madej, Dieter Saur, Roland Rad, Gunter Schneider, Oliver Hayden, Klaus Diepold, Maximillian Reichert
Publikováno v:
Gastroenterology. 162:S-732
Autoencoder Features for Differentiation of Leukocytes Based on Digital Holographic Microscopy (DHM)
Publikováno v:
Computer Aided Systems Theory – EUROCAST 2019 ISBN: 9783030450953
EUROCAST (2)
EUROCAST (2)
The differentiation and counting of leukocytes is essential for the diagnosis of leukemia. This work investigates the suitability of Deep Convolutional Autoencoders and Principal Component Analysis (PCA) to generate robust features from the 3D image
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a1bd9ff46b8d5f6f853ecd93e208d6ab
https://doi.org/10.1007/978-3-030-45096-0_35
https://doi.org/10.1007/978-3-030-45096-0_35
Autor:
Maximilian Reichert, Clarissa Prazeres da Costa, Christian Klenk, Stefan Röhrl, Nermina Vejzagic, Matthias Ugele, Oliver Hayden, Dominik Heim, Katharina Götze, Frea Mehta, Klaus Diepold, Katja Peschke, Markus Meissner
Publikováno v:
Optical Methods for Inspection, Characterization, and Imaging of Biomaterials IV.
Manual blood smear analysis remains the gold standard to diagnose hematological disorders and infections of blood parasites. However, the analysis and interpretation of peripheral blood smears requires expert users, is time consuming, depends on inte