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

Deep Hypothesis Tests Detect Clinically Relevant Subgroup Shifts in Medical Images.
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

Hidden in Plain Sight: Subgroup Shifts Escape OOD Detection.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

2019
The human body at cellular resolution: the NIH Human Biomolecular Atlas Program.
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Nat., 2019


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