Christian M. Schürch
Orcid: 0000-0002-1792-1768
According to our database1,
Christian M. Schürch
authored at least 8 papers
between 2019 and 2023.
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Bibliography
2023
S<sup>3</sup>-CIMA: Supervised spatial single-cell image analysis for identifying disease-associated cell-type compositions in tissue.
Patterns, September, 2023
Corrigendum: A review on deep learning applications in highly multiplexed tissue imaging data analysis.
Frontiers Bioinform., May, 2023
A review on deep learning applications in highly multiplexed tissue imaging data analysis.
Frontiers Bioinform., May, 2023
CoRR, 2023
Studying Therapy Effects and Disease Outcomes in Silico using Artificial Counterfactual Tissue Samples.
CoRR, 2023
2022
CellSeg: a robust, pre-trained nucleus segmentation and pixel quantification software for highly multiplexed fluorescence images.
BMC Bioinform., 2022
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022
2019
Nat., 2019