Zobrazeno 1 - 10
of 188
pro vyhledávání: '"Jabari, Samir"'
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
In numerous studies, deep learning algorithms have proven their potential for the analysis of histopathology images, for example, for revealing the subtypes of tumors or the primary origin of metastases. These models require large datasets for traini
Externí odkaz:
http://arxiv.org/abs/2403.12816
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:
Mill, Leonid, Aust, Oliver, Ackermann, Jochen A., Burger, Philipp, Pascual, Monica, Palumbo-Zerr, Katrin, Krönke, Gerhard, Uderhardt, Stefan, Schett, Georg, Clemen, Christoph S., Schröder, Rolf, Holtzhausen, Christian, Jabari, Samir, Maier, Andreas, Grüneboom, Anika
Artificial intelligence (AI), machine learning, and deep learning (DL) methods are becoming increasingly important in the field of biomedical image analysis. However, to exploit the full potential of such methods, a representative number of experimen
Externí odkaz:
http://arxiv.org/abs/2207.14650
Publikováno v:
In Medical Image Analysis January 2025 99
Autor:
Aubreville, Marc, Stathonikos, Nikolas, Donovan, Taryn A., Klopfleisch, Robert, Ammeling, Jonas, Ganz, Jonathan, Wilm, Frauke, Veta, Mitko, Jabari, Samir, Eckstein, Markus, Annuscheit, Jonas, Krumnow, Christian, Bozaba, Engin, Çayır, Sercan, Gu, Hongyan, Chen, Xiang ‘Anthony’, Jahanifar, Mostafa, Shephard, Adam, Kondo, Satoshi, Kasai, Satoshi, Kotte, Sujatha, Saipradeep, V.G., Lafarge, Maxime W., Koelzer, Viktor H., Wang, Ziyue, Zhang, Yongbing, Yang, Sen, Wang, Xiyue, Breininger, Katharina, Bertram, Christof A.
Publikováno v:
In Medical Image Analysis May 2024 94
Autor:
Ganz, Jonathan, Kirsch, Tobias, Hoffmann, Lucas, Bertram, Christof A., Hoffmann, Christoph, Maier, Andreas, Breininger, Katharina, Blümcke, Ingmar, Jabari, Samir, Aubreville, Marc
Meningioma is one of the most prevalent brain tumors in adults. To determine its malignancy, it is graded by a pathologist into three grades according to WHO standards. This grade plays a decisive role in treatment, and yet may be subject to inter-ra
Externí odkaz:
http://arxiv.org/abs/2107.08850
Autor:
Aubreville, Marc, Bertram, Christof A., Jabari, Samir, Marzahl, Christian, Klopfleisch, Robert, Maier, Andreas
Publikováno v:
Bildverarbeitung f\"ur die Medizin 2020. Informatik Aktuell. p. 1-7
For histopathological tumor assessment, the count of mitotic figures per area is an important part of prognostication. Algorithmic approaches - such as for mitotic figure identification - have significantly improved in recent times, potentially allow
Externí odkaz:
http://arxiv.org/abs/1911.10873
Autor:
Marzahl, Christian, Aubreville, Marc, Bertram, Christof A., Stayt, Jason, Jasensky, Anne-Katherine, Bartenschlager, Florian, Fragoso-Garcia, Marco, Barton, Ann K., Elsemann, Svenja, Jabari, Samir, Krauth, Jens, Madhu, Prathmesh, Voigt, Jörn, Hill, Jenny, Klopfleisch, Robert, Maier, Andreas
Publikováno v:
Sci Rep 10, 9795 (2020)
Purpose: Exercise-induced pulmonary hemorrhage (EIPH) is a common syndrome in sport horses with negative impact on performance. Cytology of bronchoalveolar lavage fluid by use of a scoring system is considered the most sensitive diagnostic method. Ma
Externí odkaz:
http://arxiv.org/abs/1908.04767
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