Author

Johan Wassélius

Lund UniversityORCID 0000-0003-1896-381XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:human· 3 Assay:imaging· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1

Frequent Co-Authors

Achala S. VagaliD· 3 shared Adrian Vasile DalcaiD· 3 shared Anne‐Katrin GieseiD· 3 shared Arne G. LindgreniD· 3 shared Bradford B. WorralliD· 3 shared Christina JerniD· 3 shared Daniel WooiD· 3 shared James Frederick MeschiaiD· 3 shared

Activity by Year

2019-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

3 shared papersNeuroscience

Achala S. VagalORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

NeuroscienceFrontiers in NeurosciencePeer-reviewedJul 12, 2021

MRI Radiomic Signature of White Matter Hyperintensities Is Associated with Clinical Phenotypes

Martin Bretzner, Anna Katharina Bonkhoff, Markus D. Schirmer…·Natalia S. Rost

This paper develops a radiomic signature from T2-FLAIR MRI images to predict white matter hyperintensities burden and links it to clinical phenotypes.

20 citations

humanimaging

𝕏 PostBluesky

NeurosciencebioRxivPreprintSep 25, 2020

Sex-specific lesion topographies explain outcomesafter acute ischemic stroke

Anna Katharina Bonkhoff, Markus D. Schirmer, Martin Bretzner…·Natalia S. Rost

This study identifies sex-specific lesion patterns in acute ischemic stroke that correlate with stroke severity, highlighting differences in lesion distribution between men and women.

1 citation

humanstatistical model

𝕏 PostBluesky

NeuroscienceNeuroImage ClinicalPeer-reviewedJan 1, 2019

White Matter Hyperintensity Quantification in Large-Scale Clinical Acute Ischemic Stroke Cohorts - The MRI-GENIE Study

Markus D. Schirmer, Adrian Vasile Dalca, Ramesh Sridharan…·on behalf of the MRI-GENIE Investigators

The paper presents an automated pipeline for quantifying white matter hyperintensity in acute ischemic stroke cohorts, showing improved accuracy and enabling large-scale analysis.

63 citations

humanimaging

𝕏 PostBluesky