Author

M. Andersen

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Pathology· 1 Physiology· 1

Signature Assays, Organisms & Methods

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Approach:Bayesian inference· 1 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:contrastive learning· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Organism:human· 1

Frequent Co-Authors

A. A. Suriawinata· 1 shared B. Christensen· 1 shared B. Ren· 1 shared C. A. Bobak· 1 shared J. Heaf· 1 shared J. Levy· 1 shared J. T. Ottesen· 1 shared K. O. Bangsgaard· 1 shared

Activity by Year

2020-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperPathology

A. A. Suriawinata

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2 papers

Recent·Most cited

Bayesian parameter estimation for phosphate dynamics during hemodialysis

K. O. Bangsgaard, M. Andersen, J. Heaf, J. T. Ottesen

This study uses a Bayesian model to estimate phosphate kinetics during hemodialysis, showing improved parameter estimates with multiple-pass treatment over single-pass.

bioRxiv · Jun 16, 2022Physiology

A Large-Scale Internal Validation Study of Unsupervised Virtual Trichrome Staining Technologies on Non-alcoholic Steatohepatitis Liver Biopsies

J. Levy, N. Azizgolshani, M. Andersen, A. A. Suriawinata, X. Liu, M. Lisovsky, B. Ren, C. A. Bobak, B. Christensen, L. J. Vaickus

This study validates the use of GANs for virtual trichrome staining of NASH liver biopsies, showing high correlation with real stains and clinical outcomes.

bioRxiv · Jul 3, 2020Pathology