Zobrazeno 1 - 10
of 69
pro vyhledávání: '"Katharina, Breininger"'
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:
Chang Liu, Georg Schett, Michael Uder, Filippo Fagni, Arnd Kleyer, Frank Roemer, David Simon, Sara Bayat, Melek Yalcin Mutlu, Maja Schlereth, Jonas Utz, Tobias Heimann, Jingna Qiu, Chris Ehring, Katharina Breininger
Publikováno v:
RMD Open, Vol 10, Iss 2 (2024)
Objectives To train, test and validate the performance of a convolutional neural network (CNN)-based approach for the automated assessment of bone erosions, osteitis and synovitis in hand MRI of patients with inflammatory arthritis.Methods Hand MRIs
Externí odkaz:
https://doaj.org/article/b8d100ece7cf40c0a214c46a8cce38ef
Autor:
Ruolin Wang, Chris Bradley, Patrick Herbert, Kaihua Hou, Pradeep Ramulu, Katharina Breininger, Mathias Unberath, Jithin Yohannan
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract To develop and evaluate the performance of a deep learning model (DLM) that predicts eyes at high risk of surgical intervention for uncontrolled glaucoma based on multimodal data from an initial ophthalmology visit. Longitudinal, observation
Externí odkaz:
https://doaj.org/article/e87929d4038c430ba2d1191d3a8e9a21
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:
Felix Denzinger, Michael Wels, Katharina Breininger, Oliver Taubmann, Alexander Mühlberg, Thomas Allmendinger, Mehmet A. Gülsün, Max Schöbinger, Florian André, Sebastian J. Buss, Johannes Görich, Michael Sühling, Andreas Maier
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract Recently, algorithms capable of assessing the severity of Coronary Artery Disease (CAD) in form of the Coronary Artery Disease-Reporting and Data System (CAD-RADS) grade from Coronary Computed Tomography Angiography (CCTA) scans using Deep L
Externí odkaz:
https://doaj.org/article/358a8c6661bc457590207129cc767de4
Autor:
Frauke Wilm, Marco Fragoso, Christian Marzahl, Jingna Qiu, Chloé Puget, Laura Diehl, Christof A. Bertram, Robert Klopfleisch, Andreas Maier, Katharina Breininger, Marc Aubreville
Publikováno v:
Scientific Data, Vol 9, Iss 1, Pp 1-13 (2022)
Measurement(s) canine cutaneous tissue Technology Type(s) bright-field microscopy • H&E slide staining • whole slide scanning Sample Characteristic - Organism Canis
Externí odkaz:
https://doaj.org/article/7d64f8e43fc24cad96af77c879a85283
Autor:
Andreas M. Kist, Katharina Breininger, Marion Dörrich, Stephan Dürr, Anne Schützenberger, Marion Semmler
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-10 (2022)
Abstract Glottis segmentation is a crucial step to quantify endoscopic footage in laryngeal high-speed videoendoscopy. Recent advances in deep neural networks for glottis segmentation allow for a fully automatic workflow. However, exact knowledge of
Externí odkaz:
https://doaj.org/article/fe64eb9ca30846a9bca6c72154a7b593
Autor:
Christian Marzahl, Jenny Hill, Jason Stayt, Dorothee Bienzle, Lutz Welker, Frauke Wilm, Jörn Voigt, Marc Aubreville, Andreas Maier, Robert Klopfleisch, Katharina Breininger, Christof A. Bertram
Publikováno v:
Scientific Data, Vol 9, Iss 1, Pp 1-10 (2022)
Measurement(s) Hemosiderin-Laden Macrophage • Hemosiderin-Laden Macrophage Technology Type(s) machine learning • visual observation method Sample Characteristic - Organism Homo sapiens • Felinae • Equus caballus
Externí odkaz:
https://doaj.org/article/51350f552a6342b297629994ab6a48b4
Autor:
Frauke Wilm, Christian Ihling, Gábor Méhes, Luigi Terracciano, Chloé Puget, Robert Klopfleisch, Peter Schüffler, Marc Aubreville, Andreas Maier, Thomas Mrowiec, Katharina Breininger
Publikováno v:
Journal of Pathology Informatics, Vol 14, Iss , Pp 100301- (2023)
The success of immuno-oncology treatments promises long-term cancer remission for an increasing number of patients. The response to checkpoint inhibitor drugs has shown a correlation with the presence of immune cells in the tumor and tumor microenvir
Externí odkaz:
https://doaj.org/article/6ea89d013d5049edbf8ebf5def440677