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ORCIDJoshua Butke
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2020 – today
- 2023
[b1]Joshua Butke:
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). Bochum University, Germany, 2023- [c2]Joshua Butke, Noriaki Hashimoto, Ichiro Takeuchi, Hiroaki Miyoshi, Koichi Ohshima, Jun Sakuma:
Mixing Histopathology Prototypes into Robust Slide-Level Representations for Cancer Subtyping. MLMI@MICCAI (2) 2023: 114-123 - [i2]Joshua Butke, Noriaki Hashimoto, Ichiro Takeuchi, Hiroaki Miyoshi, Koichi Ohshima, Jun Sakuma:
Mixing Histopathology Prototypes into Robust Slide-Level Representations for Cancer Subtyping. CoRR abs/2310.12769 (2023) - 2021
- [c1]Joshua Butke, Tatjana Frick, Florian Roghmann, Samir F. El-Mashtoly, Klaus Gerwert, Axel Mosig:
End-to-end Multiple Instance Learning for Whole-Slide Cytopathology of Urothelial Carcinoma. COMPAY@MICCAI 2021: 57-68 - 2020
- [j1]Arne P. Raulf, Joshua Butke, Claus Küpper, Frederik Großerüschkamp
, Klaus Gerwert, Axel Mosig:
Deep representation learning for domain adaptable classification of infrared spectral imaging data. Bioinform. 36(1): 287-294 (2020) - [i1]Arne P. Raulf, Joshua Butke, Lukas Menzen, Claus Küpper, Frederik Großerüschkamp, Klaus Gerwert, Axel Mosig:
Deep Neural Networks for the Correction of Mie Scattering in Fourier-Transformed Infrared Spectra of Biological Samples. CoRR abs/2002.07681 (2020)
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