Author

H. Abbasi

Primary ORCID profile (0000-0003-4812-8487 · 1 paper)Unclaimed ORCID profile · follow to get notified of new preprints

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

Same name, identified by ORCID

H. AbbasiiD1 paper · Amirkabir University of Technology

Biology Disciplines

Click to filter author papers

Bioengineering· 1 Pathology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:cell type annotation· 2 Organism:human· 2 Assay:imaging· 2 Research Focus:cell-cell communication· 1 Approach:deep learning· 1 Approach:microscopy & imaging analysis· 1 Organism:mouse· 1 Research Focus:spatial domain detection· 1

Frequent Co-Authors

A. Liu· 1 shared A. McMorland· 1 shared C. Liao· 1 shared F. auf der Heiden· 1 shared H. Moein Taghavi· 1 shared J. Nirschl· 1 shared K. Amunts· 1 shared K. Setsompop· 1 shared

Activity by Year

2023-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 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

1 shared paperPathology

A. Liu

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Micron-resolution fiber mapping in histology independent of sample preparation

M. Georgiadis, F. auf der Heiden, H. Abbasi, L. Ettema, J. Nirschl, H. Moein Taghavi, M. Wakatsuki, A. Liu, W. H. D. Ho, M. Carlson, M. Doukas, S. A. Koppes, S. Keereweer, R. A. Sobel, K. Setsompop, , M. Menzel

This paper introduces ComSLI, a method to map fiber networks in histology without sample preparation, showing its application across tissues and diseases.

Nature Communications · Nov 5, 2025Peer-reviewedPathology

Deep-Learning for Automated Markerless Tracking of Infants General Movements

H. Abbasi, S. Mollet, S. Williams, L. Lim, M. Battin, T. F. Besier, A. McMorland

This paper develops a deep-learning method for markerless tracking of infant general movements in video recordings, achieving high accuracy across multiple anatomical locations.

International Journal of Information Technology · Sep 25, 2023Peer-reviewedBioengineering