Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Christian Klenk"'
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.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::933708a74b3e838a06286f1e65214fd9
https://doi.org/10.5220/0011634200003414
https://doi.org/10.5220/0011634200003414
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.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::babf19f491ecf8401b8f1b79e92c3557
https://doi.org/10.5220/0011632800003414
https://doi.org/10.5220/0011632800003414
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).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::231dd6fed0233ae8e02be155eb0ff5b2
https://doi.org/10.1109/ijcnn55064.2022.9892240
https://doi.org/10.1109/ijcnn55064.2022.9892240
Autor:
Oliver Hayden, Christian Klenk
Publikováno v:
Cytometry Part A. 99:472-475
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d5d3f29dd665a4c6d821c2918afd06d
https://doi.org/10.1002/cyto.a.24256
https://doi.org/10.1002/cyto.a.24256
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a6245c84393764ecfcf80fd5121d8216
https://doi.org/10.1016/s0016-5085(22)61727-x
https://doi.org/10.1016/s0016-5085(22)61727-x
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0cf1f7fc07c9cc33fb089b1cd0f3b162
https://doi.org/10.1117/12.2525666
https://doi.org/10.1117/12.2525666
Autor:
Benjamin Lee, Florian Stenzel, Ralf Albrecht, Carsten Baer, Tabitha Ballmann, Janko Cieslak, Klaus Duncker, Björn Faulwetter-Quandt, Fabian Fertig, Markus Fischer, Ingmar Höger, Rene Hönig, Stefan Hörnlein, Kati Hübener, Enrico Jarzembowski, Matthias Junghänel, Michael Kaiser, Maximilian Kauert, Cangming Ke, Friederike Kersten, Kyunghun Kim, Christian Klenke, Matthias Köhler, Sissel Kristensen, Ohjin Kwon, Ronny Lantzsch, Ansgar Mette, Yvonne Neumann, Larissa Niebergall, Stefan Peters, Kai Petter, Hans-Christoph Ploigt, Britta Pohl-Hampel, Martina Queck, Tomasz Rudolph, Martin Schaper, Jessica Scharf, Michael Schley, Antje Schönmann, Susanne Schulz, Matthias Schütze, Axel Schwabedissen, Anika Weihrauch, Tino Wieczorek, Jörg Müller
Publikováno v:
SiliconPV Conference Proceedings, Vol 1 (2024)
We report efficiencies of >24% being consistently achieved in mass-production of passivating-contact solar cells. Furthermore, the certified efficiency of cells from our pilot line has reached 25.3% with 730 mV open-circuit voltage. An analysis of th
Externí odkaz:
https://doaj.org/article/a274fb24b3bc4b938697041b7cce03c8