Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Nick Weiss"'
Autor:
Alexander Engelbertson, Nick Weiss
Publikováno v:
Brain Stimulation, Vol 16, Iss 4, Pp 9-10 (2023)
Externí odkaz:
https://doaj.org/article/370dae33c42847348aa66b1c18c7614c
Autor:
Maschenka CA. Balkenhol, Francesco Ciompi, Żaneta Świderska-Chadaj, Rob van de Loo, Milad Intezar, Irene Otte-Höller, Daan Geijs, Johannes Lotz, Nick Weiss, Thomas de Bel, Geert Litjens, Peter Bult, Jeroen AWM. van der Laak
Publikováno v:
Breast, Vol 56, Iss , Pp 78-87 (2021)
The tumour microenvironment has been shown to be a valuable source of prognostic information for different cancer types. This holds in particular for triple negative breast cancer (TNBC), a breast cancer subtype for which currently no prognostic biom
Externí odkaz:
https://doaj.org/article/e80a20b3b17545aa82c38ce136bbd8b2
Autor:
Laura Miesen, Péter Bándi, Brigith Willemsen, Fieke Mooren, Thiago Strieder, Eva Boldrini, Vedran Drenic, Jennifer Eymael, Roy Wetzels, Johannes Lotz, Nick Weiss, Eric Steenbergen, Toin H. van Kuppevelt, Merijn van Erp, Jeroen van der Laak, Nicole Endlich, Marcus J. Moeller, Jack F. M. Wetzels, Jitske Jansen, Bart Smeets
Publikováno v:
Disease Models & Mechanisms, Vol 15, Iss 3 (2022)
In the glomerulus, Bowman's space is formed by a continuum of glomerular epithelial cells. In focal segmental glomerulosclerosis (FSGS), glomeruli show segmental scarring, a result of activated parietal epithelial cells (PECs) invading the glomerular
Externí odkaz:
https://doaj.org/article/b085f33f43c444aa8d174c363c9be509
Autor:
Daniel Budelmann, Hendrik Laue, Nick Weiss, Uta Dahmen, Lorenza A. D’Alessandro, Ina Biermayer, Ursula Klingmüller, Ahmed Ghallab, Reham Hassan, Brigitte Begher-Tibbe, Jan G. Hengstler, Lars Ole Schwen
Publikováno v:
Journal of Pathology Informatics, Vol 13, Iss , Pp 100001- (2022)
Many physiological processes and pathological phenomena in the liver tissue are spatially heterogeneous. At a local scale, biomarkers can be quantified along the axis of the blood flow, from portal fields (PFs) to central veins (CVs), i.e., in zonate
Externí odkaz:
https://doaj.org/article/f0dec92db057496e8dbc2372a3ce73d9
Autor:
André Homeyer, Patrik Nasr, Christiane Engel, Stergios Kechagias, Peter Lundberg, Mattias Ekstedt, Henning Kost, Nick Weiss, Tim Palmer, Horst Karl Hahn, Darren Treanor, Claes Lundström
Publikováno v:
Diagnostic Pathology, Vol 12, Iss 1, Pp 1-10 (2017)
Abstract Background Steatosis is routinely assessed histologically in clinical practice and research. Automated image analysis can reduce the effort of quantifying steatosis. Since reproducibility is essential for practical use, we have evaluated dif
Externí odkaz:
https://doaj.org/article/48c031e72778412b8c262afebf33acce
Autor:
Lars Ole Schwen, Emilia Andersson, Konstanty Korski, Nick Weiss, Sabrina Haase, Fabien Gaire, Horst K. Hahn, André Homeyer, Oliver Grimm
Publikováno v:
Frontiers in Oncology, Vol 8 (2018)
Background: Features characterizing the immune contexture (IC) in the tumor microenvironment can be prognostic and predictive biomarkers. Identifying novel biomarkers can be challenging due to complex interactions between immune and tumor cells and t
Externí odkaz:
https://doaj.org/article/7c5a0104416f49789195e6997bf88037
Autor:
André Homeyer, Johannes Lotz, Lars Ole Schwen, Nick Weiss, Daniel Romberg, Henning Höfener, Norman Zerbe, Peter Hufnagl
Publikováno v:
Journal of Pathology Informatics, Vol 12, Iss 1, Pp 13-13 (2021)
Modern image analysis techniques based on artificial intelligence (AI) have great potential to improve the quality and efficiency of diagnostic procedures in pathology and to detect novel biomarkers. Despite thousands of published research papers on
Externí odkaz:
https://doaj.org/article/8b1c34f5e9a74bcd8ee0dccafa9f204d
Autor:
Christoph Jansen, Björn Lindequist, Klaus Strohmenger, Daniel Romberg, Tobias Küster, Nick Weiss, Michael Franz, Lars Ole Schwen, Theodore Evans, André Homeyer, Norman Zerbe
Publikováno v:
Future Generation Computer Systems. 140:209-224
Autor:
Nassim Bouteldja, David Laurin Hölscher, Barbara Mara Klinkhammer, Roman David Buelow, Johannes Lotz, Nick Weiss, Christoph Daniel, Kerstin Amann, Peter Boor
Publikováno v:
The American journal of pathology.
Convolutional neural network (CNN)-based image analysis applications in digital pathology (eg, tissue segmentation) require a large amount of annotated data and are mostly trained and applicable on a single stain. Here, a novel concept based on stain
Publikováno v:
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society. 104
Cross-slide image analysis provides additional information by analysing the expression of different biomarkers as compared to a single slide analysis. These biomarker stained slides are analysed side by side, revealing unknown relations between them.