Author

Tatjana Schmidt

University of CambridgeORCID 0000-0002-3840-6300Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Organism:human· 2 Assay:imaging· 2 Approach:Bayesian inference· 1 Research Focus:benchmarking· 1 Research Focus:spatial domain detection· 1 Approach:statistical model· 1

Frequent Co-Authors

Timothy RittmaniD· 2 shared Alice GraziaiD· 1 shared Anja SchneideriD· 1 shared Annika E. SpottkeiD· 1 shared Ayda RostamzadehiD· 1 shared Benjamin UnderwoodiD· 1 shared Björn Hendrik SchottiD· 1 shared Boris‐Stephan RauchmanniD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersNeuroscience

Timothy RittmanORCID

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2 papers

Recent·Most cited

A Bayesian approach to volumetric analysis in rare neurodegenerative disorders

Sharon Yuen Shan Ho, Tatjana Schmidt, Boyd Ghosh, James Benedict Rowe, Timothy Rittman

This paper applies Bayesian hierarchical modeling to assess regional brain atrophy in rare neurodegenerative disorders, finding significant volume loss in specific brain regions across disease groups.

bioRxiv · Oct 10, 2026 · PreprintNeuroscience

Automated quantification of white matter hyperintensity confluence: A measure of spatial organisation beyond volume and visual rating scales

Tatjana Schmidt, Robert Salzmann, Marcella Montagnese, Dennis Chan, Jose Bernal, Malte Pfister, Philipp Arndt, Oliver Peters, Julian Hellmann‐Regen, Lukas Preis, Daria Gref, Josef Priller, Eike Jakob Spruth, Maria Gemenetzi, Slawek Altenstein, , Timothy Rittman

This paper introduces an automated method to quantify white matter hyperintensity confluence, showing it correlates with cognitive performance and dementia subtypes beyond volume.

bioRxiv · Jul 28, 2026 · PreprintNeuroscience