Zobrazeno 1 - 10
of 833
pro vyhledávání: '"Klopfleisch Robert"'
Autor:
Ganz, Jonathan, Marzahl, Christian, Ammeling, Jonas, Richter, Barbara, Puget, Chloé, Denk, Daniela, Demeter, Elena A., Tabaran, Flaviu A., Wasinger, Gabriel, Lipnik, Karoline, Tecilla, Marco, Valentine, Matthew J., Dark, Michael J., Abele, Niklas, Bolfa, Pompei, Erber, Ramona, Klopfleisch, Robert, Merz, Sophie, Donovan, Taryn A., Jabari, Samir, Bertram, Christof A., Breininger, Katharina, Aubreville, Marc
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 agreement. Dee
Externí odkaz:
http://arxiv.org/abs/2406.19899
Autor:
Puget, Chloé, Ganz, Jonathan, Ostermaier, Julian, Konrad, Thomas, Parlak, Eda, Bertram, Christof Albert, Kiupel, Matti, Breininger, Katharina, Aubreville, Marc, Klopfleisch, Robert
Numerous prognostic factors are currently assessed histopathologically in biopsies of canine mast cell tumors to evaluate clinical behavior. In addition, PCR analysis of the c-Kit exon 11 mutational status is often performed to evaluate the potential
Externí odkaz:
http://arxiv.org/abs/2401.06169
Autor:
Aubreville, Marc, Stathonikos, Nikolas, Donovan, Taryn A., Klopfleisch, Robert, Ganz, Jonathan, Ammeling, Jonas, Wilm, Frauke, Veta, Mitko, Jabari, Samir, Eckstein, Markus, Annuscheit, Jonas, Krumnow, Christian, Bozaba, Engin, Cayir, Sercan, Gu, Hongyan, Chen, Xiang 'Anthony', Jahanifar, Mostafa, Shephard, Adam, Kondo, Satoshi, Kasai, Satoshi, Kotte, Sujatha, Saipradeep, VG, Lafarge, Maxime W., Koelzer, Viktor H., Wang, Ziyue, Zhang, Yongbing, Yang, Sen, Wang, Xiyue, Breininger, Katharina, Bertram, Christof A.
Publikováno v:
Medical Image Analysis Volume 94, May 2024, 103155
Recognition of mitotic figures in histologic tumor specimens is highly relevant to patient outcome assessment. This task is challenging for algorithms and human experts alike, with deterioration of algorithmic performance under shifts in image repres
Externí odkaz:
http://arxiv.org/abs/2309.15589
Autor:
Haghofer, Andreas, Parlak, Eda, Bartel, Alexander, Donovan, Taryn A., Assenmacher, Charles-Antoine, Bolfa, Pompei, Dark, Michael J., Fuchs-Baumgartinger, Andrea, Klang, Andrea, Jäger, Kathrin, Klopfleisch, Robert, Merz, Sophie, Richter, Barbara, Schulman, F. Yvonne, Janout, Hannah, Ganz, Jonathan, Scharinger, Josef, Aubreville, Marc, Winkler, Stephan M., Kiupel, Matti, Bertram, Christof A.
Variation in nuclear size and shape is an important criterion of malignancy for many tumor types; however, categorical estimates by pathologists have poor reproducibility. Measurements of nuclear characteristics (morphometry) can improve reproducibil
Externí odkaz:
http://arxiv.org/abs/2309.15031
Autor:
Wilm, Frauke, Fragoso, Marco, Bertram, Christof A., Stathonikos, Nikolas, Öttl, Mathias, Qiu, Jingna, Klopfleisch, Robert, Maier, Andreas, Breininger, Katharina, Aubreville, Marc
In histopathology, scanner-induced domain shifts are known to impede the performance of trained neural networks when tested on unseen data. Multi-domain pre-training or dedicated domain-generalization techniques can help to develop domain-agnostic al
Externí odkaz:
http://arxiv.org/abs/2301.04423
Autor:
Ganz, Jonathan, Lipnik, Karoline, Ammeling, Jonas, Richter, Barbara, Puget, Chloé, Parlak, Eda, Diehl, Laura, Klopfleisch, Robert, Donovan, Taryn A., Kiupel, Matti, Bertram, Christof A., Breininger, Katharina, Aubreville, Marc
Nucleolar organizer regions (NORs) are parts of the DNA that are involved in RNA transcription. Due to the silver affinity of associated proteins, argyrophilic NORs (AgNORs) can be visualized using silver-based staining. The average number of AgNORs
Externí odkaz:
http://arxiv.org/abs/2212.07721
Autor:
Wilm, Frauke, Fragoso, Marco, Bertram, Christof A., Stathonikos, Nikolas, Öttl, Mathias, Qiu, Jingna, Klopfleisch, Robert, Maier, Andreas, Aubreville, Marc, Breininger, Katharina
Computer-aided systems in histopathology are often challenged by various sources of domain shift that impact the performance of these algorithms considerably. We investigated the potential of using self-supervised pre-training to overcome scanner-ind
Externí odkaz:
http://arxiv.org/abs/2211.16141
Autor:
Herrmann, Alexandra, Gege, Christian, Wangen, Christina, Wagner, Sabrina, Kögler, Melanie, Cordsmeier, Arne, Irrgang, Pascal, Ip, Wing-Hang, Weil, Tatjana, Hunszinger, Victoria, Groß, Rüdiger, Heinen, Natalie, Pfaender, Stephanie, Reuter, Sebastian, Klopfleisch, Robert, Uhlig, Nadja, Eberlein, Valentina, Issmail, Leila, Grunwald, Thomas, Hietel, Benjamin, Cynis, Holger, Münch, Jan, Sparrer, Konstantin M.J., Ensser, Armin, Tenbusch, Matthias, Dobner, Thomas, Vitt, Daniel, Kohlhof, Hella, Hahn, Friedrich
Publikováno v:
In Antiviral Research November 2024 231
Autor:
Wilm, Frauke, Fragoso, Marco, Marzahl, Christian, Qiu, Jingna, Puget, Chloé, Diehl, Laura, Bertram, Christof A., Klopfleisch, Robert, Maier, Andreas, Breininger, Katharina, Aubreville, Marc
Publikováno v:
Scientific Data vol. 9 (2022)
Due to morphological similarities, the differentiation of histologic sections of cutaneous tumors into individual subtypes can be challenging. Recently, deep learning-based approaches have proven their potential for supporting pathologists in this re
Externí odkaz:
http://arxiv.org/abs/2201.11446
Autor:
Kunzmann, Sonja, Marzahl, Christian, Denzinger, Felix, Bertram, Christof A., Klopfleisch, Robert, Breininger, Katharina, Christlein, Vincent, Maier, Andreas
Annotating data, especially in the medical domain, requires expert knowledge and a lot of effort. This limits the amount and/or usefulness of available medical data sets for experimentation. Therefore, developing strategies to increase the number of
Externí odkaz:
http://arxiv.org/abs/2111.03663