| Highly accurate differentiation of bone marrow cell morphologies using deep neural networks on a large image data set C Matek, S Krappe, C Münzenmayer, T Haferlach, C Marr Blood, The Journal of the American Society of Hematology 138 (20), 1917-1927, 2021 | 132 | 2021 |
| Automatic classification of minimally invasive instruments based on endoscopic image sequences S Speidel, J Benzko, S Krappe, G Sudra, P Azad, BP Müller-Stich, C Gutt, ... Medical Imaging 2009: Visualization, Image-Guided Procedures, and Modeling …, 2009 | 52 | 2009 |
| Automated morphological analysis of bone marrow cells in microscopic images for diagnosis of leukemia: nucleus-plasma separation and cell classification using a hierarchical … S Krappe, T Wittenberg, T Haferlach, C Münzenmayer SPIE Medical Imaging 2016: Computer-Aided Diagnosis, 2016 | 18 | 2016 |
| An expert-annotated dataset of bone marrow cytology in hematologic malignancies C Matek, S Krappe, C Münzenmayer, T Haferlach, C Marr The Cancer Imaging Archive, 2021 | 13 | 2021 |
| Automated classification of bone marrow cells in microscopic images for diagnosis of leukemia: a comparison of two classification schemes with respect to the segmentation quality S Krappe, M Benz, T Wittenberg, T Haferlach, T Münzenmayer SPIE Medical Imaging 2015, 2015 | 13 | 2015 |
| Robust feature tracking for endoscopic pose estimation and structure recovery S Speidel, S Krappe, S Röhl, S Bodenstedt, B Müller-Stich, R Dillmann SPIE Medical Imaging, 2013 | 9 | 2013 |
| Lokalisierung von Knochenmarkzellen für die automatisierte morphologische Analyse von Knochenmarkpräparaten S Krappe, K Macijewski, E Eismann, T Ziegler, T Wittenberg, T Haferlach, ... Bildverarbeitung für die Medizin 2014: Algorithmen-Systeme-Anwendungen …, 2014 | 7 | 2014 |
| Automated cancer stem cell recognition in H and E stained tissue using convolutional neural networks and color deconvolution W Aichinger, S Krappe, AE Cetin, R Cetin-Atalay, A Üner, M Benz, ... Medical Imaging 2017: Digital Pathology 10140, 159-164, 2017 | 5 | 2017 |
| Automated plasmodia recognition in microscopic images for diagnosis of malaria using convolutional neural networks S Krappe, M Benz, A Gryanik, E Tannich, C Wegner, M Stamminger, ... Medical Imaging 2017: Digital Pathology 10140, 67-72, 2017 | 4 | 2017 |
| Dynamic programming for the segmentation of bone marrow cells S Krappe, C Münzenmayer, A Evert, CF Koyuncu, E Cetin, T Haferlach, ... Bildverarbeitung für die Medizin 2015: Algorithmen-Systeme-Anwendungen …, 2015 | 4 | 2015 |
| Training und Qualitätssicherung für die morphologische Analyse von Knochenmarkpräparaten S Krappe, E Efstathiou, T Haferlach, K Macijewski, T Wittenberg, ... | 2 | 2013 |
| Automatische Klassifikation von hämatopoetischen Zellen für ein computer-assistiertes Mikroskopiesystem S Krappe | 1 | 2018 |
| A Database and Neural Network for Highly Accurate Classification of Single Bone Marrow Cells C Matek, S Krappe, C Münzenmayer, T Haferlach, C Marr Bildverarbeitung für die Medizin 2022: Proceedings, German Workshop on …, 2022 | | 2022 |
| Automatic Detection of Relevant Regions for the Morphological Analysis of Bone Marrow Slides S Krappe, R Leisering, T Haferlach, T Wittenberg, C Münzenmayer Bildverarbeitung für die Medizin 2016, 272-276, 2016 | | 2016 |
| Track Q. Education and Training for Engineers and Physicians S Krappe, Y Sahin, T Bindl, T Wittenberg, C Münzenmayer Biomedical Engineering/Biomedizinische Technik 60 (s1), s361-s366, 2015 | | 2015 |
| An interactive app for training and qualification in differentiating blood cells S Krappe, Y Sahin, T Bindl, T Wittenberg, C Münzenmayer Biomed Tech 60 (s1), 2015 | | 2015 |
| Automated classification of bone marrow cells in microscopic images for diagnosis of leukemia S Krappe, M Benz, T Wittenberg, T Haferlach, C Münzenmayer | | 2015 |
| Meeting Abstract S Krappe, E Efstathiou, T Haferlach, K Macijewski, T Wittenberg, ... | | 2013 |
| GMDS 2013: 58. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e. V.(GMDS) S Krappe, E Efstathiou, T Haferlach, K Macijewski, T Wittenberg, ... | | |
Christian MünzenmayerGroup Manager Medical Image Processing, Fraunhofer IISE-mail confirmado em iis.fraunhofer.de
