Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Andreas Haghofer"'
Autor:
Jonas Schurr, Hannah Janout, Andreas Haghofer, Marian Fürsatz, Josef Scharinger, Stephan Winkler, Sylvia Nürnberger
Publikováno v:
Applied Sciences, Vol 14, Iss 20, p 9476 (2024)
The recently developed high-throughput system for cell spheroid generation (SpheroWell) is a promising technology for cost- and time-efficient in vitro analysis of, for example, chondrogenic differentiation. It is a compartmental growth surface where
Externí odkaz:
https://doaj.org/article/ed6501400e4448098df54b8d8f232d4c
Autor:
Andreas Haghofer, Andrea Fuchs-Baumgartinger, Karoline Lipnik, Robert Klopfleisch, Marc Aubreville, Josef Scharinger, Herbert Weissenböck, Stephan M. Winkler, Christof A. Bertram
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-15 (2023)
Abstract Histopathological examination of tissue samples is essential for identifying tumor malignancy and the diagnosis of different types of tumor. In the case of lymphoma classification, nuclear size of the neoplastic lymphocytes is one of the key
Externí odkaz:
https://doaj.org/article/6307d0700a554608b5a74edf2a518bfc
Autor:
Imaine Glahn, Andreas Haghofer, Taryn A. Donovan, Brigitte Degasperi, Alexander Bartel, Theresa Kreilmeier-Berger, Philip S. Hyndman, Hannah Janout, Charles-Antoine Assenmacher, Florian Bartenschlager, Pompei Bolfa, Michael J. Dark, Andrea Klang, Robert Klopfleisch, Sophie Merz, Barbara Richter, F. Yvonne Schulman, Jonathan Ganz, Josef Scharinger, Marc Aubreville, Stephan M. Winkler, Christof A. Bertram
Publikováno v:
Veterinary Sciences, Vol 11, Iss 6, p 278 (2024)
The integration of deep learning-based tools into diagnostic workflows is increasingly prevalent due to their efficiency and reproducibility in various settings. We investigated the utility of automated nuclear morphometry for assessing nuclear pleom
Externí odkaz:
https://doaj.org/article/d3b917419c5f4b049009eb5d807f0748
Identification of Surrogate Models for the Prediction of Degrees of Freedom within a Tolerance Chain
Autor:
Hannah Janout, Thomas Paier, Carina Ringelhahn, Michael Heckmann, Andreas Haghofer, Gabriel Kronberger, Stephan Winkler
Publikováno v:
Procedia Computer Science. 217:796-805
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b8948a7aa11fda951a6fd2c67f5b72ae
https://doi.org/10.1016/j.procs.2022.12.276
https://doi.org/10.1016/j.procs.2022.12.276
Publikováno v:
Procedia Computer Science. 200:1194-1200
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::515d1f2a12eef93c475e7ce417503057
https://doi.org/10.1016/j.procs.2022.01.319
https://doi.org/10.1016/j.procs.2022.01.319
Autor:
Andreas Haghofer, Stephan M. Winkler, Wolfgang Roland, Christian Marschik, Michael Kommenda, Sebastian Dorl
Publikováno v:
International Polymer Processing. 36:529-544
The traditional approach to modeling the polymer melt flow in single-screw extruders is based on analytical and numerical analyses. Due to increasing computational power, data-driven modeling has grown significantly in popularity in recent years. In
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::24163ad84bf36f97425f9491ab3e1dee
https://doi.org/10.1515/ipp-2020-4094
https://doi.org/10.1515/ipp-2020-4094
Publikováno v:
International Journal of Food Engineering. 18:171-183
The quality of freshly harvested herbs is affected by several crucial factors, such as weather, tillage, fertilization, drying, and the harvesting process, e.g. Our main goal is to learn models that are able to predict spore contaminations in differe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::887893a80b916d77e5a73e573ecb6a7b
https://doi.org/10.1515/ijfe-2021-0027
https://doi.org/10.1515/ijfe-2021-0027
Autor:
Stephan M. Winkler, Sebastian Dorl, Johannes M. Breuss, Jaroslaw Jacak, Andreas Haghofer, André Oszwald
Publikováno v:
Soft Computing. 24:17847-17862
In this paper, we present a new evolution-based algorithm that optimizes cell detection image processing workflows in a self-adaptive fashion. We use evolution strategies to optimize the parameters for all steps of the image processing pipeline and i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b0f893db498997765ff5ef26602b055
https://doi.org/10.1007/s00500-020-05033-0
https://doi.org/10.1007/s00500-020-05033-0
