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Christian M. Schürch
ORCID
Publication Activity (10 Years)
Years Active: 2022-2023
Publications (10 Years): 7
Top Topics
Deep Learning
Medical Images
Hypothesis Test
Data Analysis
Top Venues
CoRR
Frontiers Bioinform.
BMC Bioinform.
MIDL
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Publications
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Martin Paulikat
,
Christian M. Schürch
,
Christian F. Baumgartner
Studying Therapy Effects and Disease Outcomes in Silico using Artificial Counterfactual Tissue Samples.
CoRR
(2023)
Lisa M. Koch
,
Christian M. Schürch
,
Christian F. Baumgartner
,
Arthur Gretton
,
Philipp Berens
Deep Hypothesis Tests Detect Clinically Relevant Subgroup Shifts in Medical Images.
CoRR
(2023)
Sepideh Babaei
,
Jonathan Christ
,
Vivek Sehra
,
Ahmad Makky
,
Mohammed Zidane
,
Kilian Wistuba-Hamprecht
,
Christian M. Schürch
,
Manfred Claassen
-CIMA: Supervised spatial single-cell image analysis for identifying disease-associated cell-type compositions in tissue.
Patterns
4 (9) (2023)
Mohammed Zidane
,
Ahmad Makky
,
Matthias Bruhns
,
Alexander Rochwarger
,
Sepideh Babaei
,
Manfred Claassen
,
Christian M. Schürch
Corrigendum: A review on deep learning applications in highly multiplexed tissue imaging data analysis.
Frontiers Bioinform.
3 (2023)
Mohammed Zidane
,
Ahmed Al Makky
,
Matthias Bruhns
,
Alexander Rochwarger
,
Sepideh Babaei
,
Manfred Claassen
,
Christian M. Schürch
A review on deep learning applications in highly multiplexed tissue imaging data analysis.
Frontiers Bioinform.
3 (2023)
Michael Y. Lee
,
Jacob S. Bedia
,
Salil S. Bhate
,
Graham L. Barlow
,
Darci Phillips
,
Wendy J. Fantl
,
Garry P. Nolan
,
Christian M. Schürch
CellSeg: a robust, pre-trained nucleus segmentation and pixel quantification software for highly multiplexed fluorescence images.
BMC Bioinform.
23 (1) (2022)
Lisa M. Koch
,
Christian M. Schürch
,
Arthur Gretton
,
Philipp Berens
Hidden in Plain Sight: Subgroup Shifts Escape OOD Detection.
MIDL
(2022)