Deep representation learning for domain adaptable classification of infrared spectral imaging data AP Raulf, J Butke, C Küpper, F Großerueschkamp, K Gerwert, A Mosig Bioinformatics 36 (1), 287-294, 2020 | 24 | 2020 |
End-to-end Multiple Instance Learning for Whole-Slide Cytopathology of Urothelial Carcinoma J Butke, T Frick, F Roghmann, SF El-Mashtoly, K Gerwert, A Mosig MICCAI Workshop on Computational Pathology, 57-68, 2021 | 10 | 2021 |
Reliable identification and quantification of neural cells in microscopic images of neurospheres N Förster, J Butke, HE Keßel, F Bendt, M Pahl, L Li, X Fan, P Leung, ... Cytometry Part A 101 (5), 411-422, 2022 | 7 | 2022 |
A representation learning approach for recovering scatter‐corrected spectra from Fourier‐transform infrared spectra of tissue samples AP Raulf*, J Butke*, L Menzen, C Küpper, F Großerueschkamp, K Gerwert, ... Journal of Biophotonics 14 (3), e202000385, 2021 | 5 | 2021 |
Deep Neural Networks for the Correction of Mie Scattering in Fourier-Transformed Infrared Spectra of Biological Samples AP Raulf, J Butke, L Menzen, C Küpper, F Großerueschkamp, K Gerwert, ... arXiv preprint arXiv:2002.07681, 2020 | 4 | 2020 |
Deep learning approaches for the spectral and morphological characterization of cancer in cells and tissues J Butke Ruhr-Universität Bochum, 2023 | | 2023 |
Mixing Histopathology Prototypes into Robust Slide-Level Representations for Cancer Subtyping J Butke, N Hashimoto, I Takeuchi, H Miyoshi, K Ohshima, J Sakuma International Workshop on Machine Learning in Medical Imaging, 114-123, 2023 | | 2023 |
A formative usability study of workflow management systems in label-free digital pathology M Jelonek, AP Raulf, E Fiala, J Butke, T Herrmann, A Mosig F1000Research 11, 192, 2022 | | 2022 |
A formative usability study of workflow managemen t systems in label-free digital pathology [version 1; peer review M Jelonek, AP Raulf, E Fiala, J Butke, T Herrmann, A Mosig | | 2022 |
Deep representation learning for domain adaptatable classification of infrared spectral imaging data Supplementary Material AP Raulf, J Butke, C Küpper, F Großerueschkamp, K Gerwert, A Mosig | | |