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2020 – today
- 2021
[j3]Alexander Binder
, Michael Bockmayr, Miriam Hägele, Stephan Wienert, Daniel Heim, Katharina Hellweg, Masaru Ishii, Albrecht Stenzinger, Andreas Hocke, Carsten Denkert, Klaus-Robert Müller, Frederick Klauschen:
Morphological and molecular breast cancer profiling through explainable machine learning. Nat. Mach. Intell. 3(4): 355-366 (2021)- [c1]Marcel Bengs, Michael Bockmayr, Ulrich Schüller, Alexander Schlaefer:
Medulloblastoma tumor classification using deep transfer learning with multi-scale EfficientNets. Medical Imaging: Digital Pathology 2021 - [i4]Marcel Bengs, Michael Bockmayr, Ulrich Schüller, Alexander Schlaefer:
Medulloblastoma Tumor Classification using Deep Transfer Learning with Multi-Scale EfficientNets. CoRR abs/2109.05025 (2021) - [i3]Marcel Bengs, Satish Pant, Michael Bockmayr, Ulrich Schüller, Alexander Schlaefer:
Multi-Scale Input Strategies for Medulloblastoma Tumor Classification using Deep Transfer Learning. CoRR abs/2109.06547 (2021) - 2020
- [p1]Philipp Seegerer, Alexander Binder, René Saitenmacher, Michael Bockmayr, Maximilian Alber, Philipp Jurmeister, Frederick Klauschen, Klaus-Robert Müller:
Interpretable Deep Neural Network to Predict Estrogen Receptor Status from Haematoxylin-Eosin Images. AI and ML for Digital Pathology 2020: 16-37
2010 – 2019
- 2019
- [i2]Miriam Hägele, Philipp Seegerer, Sebastian Lapuschkin, Michael Bockmayr, Wojciech Samek, Frederick Klauschen, Klaus-Robert Müller, Alexander Binder:
Resolving challenges in deep learning-based analyses of histopathological images using explanation methods. CoRR abs/1908.06943 (2019) - 2018
- [i1]Alexander Binder, Michael Bockmayr, Miriam Hägele, Stephan Wienert, Daniel Heim, Katharina Hellweg, Albrecht Stenzinger, Laura Parlow, Jan Budczies, Benjamin Goeppert, Denise Treue, Manato Kotani, Masaru Ishii, Manfred Dietel, Andreas Hocke, Carsten Denkert, Klaus-Robert Müller, Frederick Klauschen:
Towards computational fluorescence microscopy: Machine learning-based integrated prediction of morphological and molecular tumor profiles. CoRR abs/1805.11178 (2018) - 2015
- [j2]Jan Budczies, Michael Bockmayr, Denise Treue, Frederick Klauschen, Carsten Denkert:
Semiconductor sequencing: how many flows do you need? Bioinform. 31(8): 1199-1203 (2015) - 2013
- [j1]Michael Bockmayr, Frederick Klauschen, Balazs Györffy, Carsten Denkert, Jan Budczies:
New network topology approaches reveal differential correlation patterns in breast cancer. BMC Syst. Biol. 7: 78 (2013)
Coauthor Index
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