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of 273
pro vyhledávání: '"Otto, Oliver"'
Autor:
Herbig, Maik, Jacobi, Angela, Wobus, Manja, Weidner, Heike, Mies, Anna, Kräter, Martin, Otto, Oliver, Thiede, Christian, Weickert, Marie‑Theresa, Götze, Katharina S., Rauner, Martina, Hofbauer, Lorenz C., Bornhäuser, Martin, Guck, Jochen, Ader, Marius, Platzbecker, Uwe, Balaian, Ekaterina
Diagnosis of myelodysplastic syndrome (MDS) mainly relies on a manual assessment of the peripheral blood and bone marrow cell morphology. The WHO guidelines suggest a visual screening of 200 to 500 cells which inevitably turns the assessor blind to r
Externí odkaz:
https://tud.qucosa.de/id/qucosa%3A90868
https://tud.qucosa.de/api/qucosa%3A90868/attachment/ATT-0/
https://tud.qucosa.de/api/qucosa%3A90868/attachment/ATT-0/
Autor:
Ciucci, Sara, Ge, Yan, Durán, Claudio, Palladini, Alessandra, Jiménez-Jiménez, Víctor, Martínez-Sánchez, Luisa María, Wang, Yutin, Sales, Susanne, Shevchenko, Andrej, Poser, Steven W., Herbig, Maik, Otto, Oliver, Androutsellis-Theotokis, Andreas, Guck, Jochen, Gerl, Mathias J., Cannistraci, Carlo Vittorio
Publikováno v:
Scientific Reports 2017, 7, ISSN: 2045-2322. DOI: doi:10.1038/srep43946. Artikelnr.: 43946.
Omic science is rapidly growing and one of the most employed techniques to explore differential patterns in omic datasets is principal component analysis (PCA). However, a method to enlighten the network of omic features that mostly contribute to the
Externí odkaz:
http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-226961
http://www.qucosa.de/fileadmin/data/qucosa/documents/22696/srep43946.pdf
http://www.qucosa.de/fileadmin/data/qucosa/documents/22696/srep43946.pdf
Autor:
Redwanz, Caterina, Pires, Ricardo H., Biedenweg, Doreen, Groß, Stefan, Otto, Oliver, Könemann, Stephanie
Publikováno v:
In Journal of Molecular and Cellular Cardiology September 2024 194:105-117
Publikováno v:
Diffusion fundamentals 20 (2013) 77, S.
Publikováno v:
In Phatthanaphong Chomphuwiset, Junmo Kim, and Pornntiwa Pawara, editors, Proceedings of the 14th Multi-Disciplinary International Conference on Artificial Intelligence (MIWAI), LNAI 12832, pages 45-57. Springer, 2021
Recurrent neural networks are a powerful means in diverse applications. We show that, together with so-called conceptors, they also allow fast learning, in contrast to other deep learning methods. In addition, a relatively small number of examples su
Externí odkaz:
http://arxiv.org/abs/2102.05588
Akademický článek
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Akademický článek
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Autor:
Fregin, Bob, Hossain, Mohammed Faruq, Biedenweg, Doreen, Friedrichs, Virginia, Balkema-Buschmann, Anne, Bokelmann, Marcel, Lehnert, Kristin, Mokbel, Dominic, Aland, Sebastian, Scholz, Carsten C., Lehmann, Philipp, Otto, Oliver, Kerth, Gerald
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America; 10/22/2024, Vol. 121 Issue 43, p1-10, 21p
Autor:
Otto, Oliver
In an increasingly global economy there is rising pressure to expand collaboration from co-located to geographically distributed groups. Currently natural human interaction is not well supported between people collaborating across a distance. This ne
Externí odkaz:
http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.492407