Marc Aubreville
Marc Aubreville
Professor at Technische Hochschule Ingolstadt, Ingolstadt, Germany
Verified email at - Homepage
Cited by
Cited by
Automatic classification of cancerous tissue in laserendomicroscopy images of the oral cavity using deep learning
M Aubreville, C Knipfer, N Oetter, C Jaremenko, E Rodner, J Denzler, ...
Scientific reports 7 (1), 1-10, 2017
A large-scale dataset for mitotic figure assessment on whole slide images of canine cutaneous mast cell tumor
CA Bertram, M Aubreville, C Marzahl, A Maier, R Klopfleisch
Scientific data 6 (1), 1-9, 2019
Deep learning algorithms out-perform veterinary pathologists in detecting the mitotically most active tumor region
M Aubreville, CA Bertram, C Marzahl, C Gurtner, M Dettwiler, A Schmidt, ...
Scientific RepoRtS 10 (1), 1-11, 2020
SlideRunner - A Tool for Massive Cell Annotations in Whole Slide Images
M Aubreville, C Bertram, R Klopfleisch, A Maier
Bildverarbeitung für die Medizin 2018, 309-314, 2018
Computerized calculation of mitotic count distribution in canine cutaneous mast cell tumor sections: mitotic count is area dependent
CA Bertram, M Aubreville, C Gurtner, A Bartel, SM Corner, M Dettwiler, ...
Veterinary pathology 57 (2), 214-226, 2020
Deep learning-based detection of motion artifacts in probe-based confocal laser endomicroscopy images
M Aubreville, M Stoeve, N Oetter, M Goncalves, C Knipfer, H Neumann, ...
International journal of computer assisted radiology and surgery 14 (1), 31-42, 2019
New binaural strategies for enhanced hearing
H Kamkar-Parsi, E Fischer, M Aubreville
Hearing Review 21 (10), 42-45, 2014
Deep learning-based quantification of pulmonary hemosiderophages in cytology slides
C Marzahl, M Aubreville, CA Bertram, J Stayt, AK Jasensky, ...
Scientific Reports 10 (1), 1-10, 2020
Probe-based confocal laser endomicroscopy in detecting malignant lesions of vocal folds
M Goncalves, M Aubreville, SK Mueller, M Sievert, A Maier, H Iro, C Bohr
ACTA Otorhinolaryngologica Italica 39 (6), 389, 2019
Mitosis domain generalization challenge
M Aubreville, C Bertram, M Veta, R Klopfleisch, N Stathonikos, ...
24th International Conference on Medical Image Computing and Computer …, 2021
Are pathologist-defined labels reproducible? Comparison of the TUPAC16 mitotic figure dataset with an alternative set of labels
CA Bertram, M Veta, C Marzahl, N Stathonikos, A Maier, R Klopfleisch, ...
Interpretable and Annotation-Efficient Learning for Medical Image Computing …, 2020
A guided spatial transformer network for histology cell differentiation
M Aubreville, M Krappmann, C Bertram, R Klopfleisch, A Maier
arXiv preprint arXiv:1707.08525, 2017
A completely annotated whole slide image dataset of canine breast cancer to aid human breast cancer research
M Aubreville, CA Bertram, TA Donovan, C Marzahl, A Maier, R Klopfleisch
Scientific data 7 (1), 1-10, 2020
Classification of leukemic b-lymphoblast cells from blood smear microscopic images with an attention-based deep learning method and advanced augmentation techniques
C Marzahl, M Aubreville, J Voigt, A Maier
ISBI 2019 C-NMC Challenge: Classification in Cancer Cell Imaging, 13-22, 2019
Deep denoising for hearing aid applications
M Aubreville, K Ehrensperger, A Maier, T Rosenkranz, B Graf, H Puder
2018 16th International Workshop on Acoustic Signal Enhancement (IWAENC …, 2018
EXACT: a collaboration toolset for algorithm-aided annotation of images with annotation version control
C Marzahl, M Aubreville, CA Bertram, J Maier, C Bergler, C Kröger, ...
Scientific reports 11 (1), 1-11, 2021
Mitotic Figures—Normal, Atypical, and Imposters: A Guide to Identification
TA Donovan, FM Moore, CA Bertram, R Luong, P Bolfa, R Klopfleisch, ...
Veterinary pathology 58 (2), 243-257, 2021
Transferability of deep learning algorithms for malignancy detection in confocal laser endomicroscopy images from different anatomical locations of the upper gastrointestinal tract
M Aubreville, M Goncalves, C Knipfer, N Oetter, T Würfl, H Neumann, ...
International Joint Conference on Biomedical Engineering Systems and …, 2018
Patch-based Carcinoma Detection on Confocal Laser Endomicroscopy Images--A Cross-Site Robustness Assessment
M Aubreville, M Goncalves, C Knipfer, N Oetter, T Würfl, H Neumann, ...
arXiv preprint arXiv:1707.08149, 2017
Are fast labeling methods reliable? A case study of computer-aided expert annotations on microscopy slides
C Marzahl, CA Bertram, M Aubreville, A Petrick, K Weiler, AC Gläsel, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2020
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