Deep representation learning for domain adaptable classification of infrared spectral imaging data. - Arne P. Raulf; Joshua Butke; Claus Küpper; Frederik Großerüschkamp; Klaus Gerwert; Axel Mosig (Bioinform., 2020)

Deep Neural Networks for the Correction of Mie Scattering in Fourier-Transformed Infrared Spectra of Biological Samples. - Arne P. Raulf; Joshua Butke; Lukas Menzen; Claus Küpper; Frederik Großerüschkamp; Klaus Gerwert; Axel Mosig (CoRR, 2020)

End-to-end Multiple Instance Learning for Whole-Slide Cytopathology of Urothelial Carcinoma. - Joshua Butke; Tatjana Frick; Florian Roghmann; Samir F. El-Mashtoly; Klaus Gerwert; Axel Mosig (COMPAY@MICCAI, 2021)

Mixing Histopathology Prototypes into Robust Slide-Level Representations for Cancer Subtyping. - Joshua Butke; Noriaki Hashimoto; Ichiro Takeuchi; Hiroaki Miyoshi; Koichi Ohshima; Jun Sakuma (MLMI@MICCAI (2), 2023)

Deep learning approaches for the spectral and morphological characterization of cancer in cells and tissues (Deep Learning Ansätze für die spektrale und morphologische Charakterisierung von Krebs in Zellen und Gewebe) - Joshua Butke (2023)