Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Jonathan Ganz"'
Autor:
Jonathan Ganz, Christian Marzahl, Jonas Ammeling, Emely Rosbach, Barbara Richter, Chloé Puget, Daniela Denk, Elena A. Demeter, Flaviu A. Tăbăran, Gabriel Wasinger, Karoline Lipnik, Marco Tecilla, Matthew J. Valentine, Michael J. Dark, Niklas Abele, Pompei Bolfa, Ramona Erber, Robert Klopfleisch, Sophie Merz, Taryn A. Donovan, Samir Jabari, Christof A. Bertram, Katharina Breininger, Marc Aubreville
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract The count of mitotic figures (MFs) observed in hematoxylin and eosin (H&E)-stained slides is an important prognostic marker, as it is a measure for tumor cell proliferation. However, the identification of MFs has a known low inter-rater agre
Externí odkaz:
https://doaj.org/article/61a701a195d0421b9593f44c12f1b462
Autor:
Marc Aubreville, Frauke Wilm, Nikolas Stathonikos, Katharina Breininger, Taryn A. Donovan, Samir Jabari, Mitko Veta, Jonathan Ganz, Jonas Ammeling, Paul J. van Diest, Robert Klopfleisch, Christof A. Bertram
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-3 (2024)
Externí odkaz:
https://doaj.org/article/79e04115ad314378bf65aa84a519e65d
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
Autor:
Marc Aubreville, Frauke Wilm, Nikolas Stathonikos, Katharina Breininger, Taryn A. Donovan, Samir Jabari, Mitko Veta, Jonathan Ganz, Jonas Ammeling, Paul J. van Diest, Robert Klopfleisch, Christof A. Bertram
Publikováno v:
Scientific Data, Vol 10, Iss 1, Pp 1-12 (2023)
Abstract The prognostic value of mitotic figures in tumor tissue is well-established for many tumor types and automating this task is of high research interest. However, especially deep learning-based methods face performance deterioration in the pre
Externí odkaz:
https://doaj.org/article/83c2fd0cf0ca41988f96b88f3255e1a0
Autor:
Juliane Mueller, Monika Richter, Kathrin Schaefer, Jonathan Ganz, Jörg Lohscheller, Steffen Mueller
Publikováno v:
Journal of Foot and Ankle Research, Vol 16, Iss 1, Pp n/a-n/a (2023)
Abstract Background In infants and young children, a wide heterogeneity of foot shape is typical. Therefore, children, who are additionally influenced by rapid growth and maturation, are a very special cohort for foot measurements and the footwear in
Externí odkaz:
https://doaj.org/article/b6e1fc920a90469a8c7e6ac257e3d4fd
Publikováno v:
Mitosis Domain Generalization and Diabetic Retinopathy Analysis ISBN: 9783031336577
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1142de688aab9541816963d5fb2545f5
https://doi.org/10.1007/978-3-031-33658-4_19
https://doi.org/10.1007/978-3-031-33658-4_19
Autor:
Jonathan Ganz, Sean Peisert
Publikováno v:
SecDev
This paper examines the security provided by different implementations of Address Space Layout Randomization (ASLR). ASLR is a security mechanism that increases control-flow integrity by making it more difficult for an attacker to properly execute a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::841d9d4d0089fc4af2a5912f7c6b1062
https://doi.org/10.1109/secdev.2017.19
https://doi.org/10.1109/secdev.2017.19
Publikováno v:
MSR
Security policies, which specify what applications are allowed to do, are notoriously difficult to specify correctly. Many applications were found to request over-liberal permissions. On mobile platforms, this might prevent a cautious user from insta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5dffd9738c2165ad5ac67dd6c15c772e
https://doi.org/10.1109/msr.2013.6624000
https://doi.org/10.1109/msr.2013.6624000