Michael Bockmayr
Orcid: 0000-0002-9249-4292
According to our database1,
Michael Bockmayr
authored at least 8 papers
between 2013 and 2021.
Collaborative distances:
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Bibliography
2021
Morphological and molecular breast cancer profiling through explainable machine learning.
Nat. Mach. Intell., 2021
Multi-Scale Input Strategies for Medulloblastoma Tumor Classification using Deep Transfer Learning.
CoRR, 2021
Medulloblastoma tumor classification using deep transfer learning with multi-scale EfficientNets.
Proceedings of the Medical Imaging 2021: Digital Pathology, Online, February 15-19, 2021, 2021
2020
Interpretable Deep Neural Network to Predict Estrogen Receptor Status from Haematoxylin-Eosin Images.
AI and ML for Digital Pathology, 2020
2019
Resolving challenges in deep learning-based analyses of histopathological images using explanation methods.
CoRR, 2019
2018
Towards computational fluorescence microscopy: Machine learning-based integrated prediction of morphological and molecular tumor profiles.
CoRR, 2018
2015
2013
New network topology approaches reveal differential correlation patterns in breast cancer.
BMC Syst. Biol., 2013