Author

Azeem Chugtai

Lancaster University

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

Biology Disciplines

Click to filter author papers

Neuroscience· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:benchmarking· 1 Organism:human· 1 Assay:imaging· 1 Approach:statistical model· 1

Frequent Co-Authors

Anette E. SchragiD· 1 shared Aswin Abraham· 1 shared Chris VriendiD· 1 shared Conor Owens‐WaltoniD· 1 shared Corey T. McMillaniD· 1 shared Edward SizeriD· 1 shared Edwin Barnes· 1 shared Hamied A. HarooniD· 1 shared

Activity by Year

2026-2026 · 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

1 shared paperNeuroscience

Anette E. SchragORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

Comparison of Automated White Matter Lesion Segmentation Approaches for Use in Large, Multi-Site Data Analyses in Parkinson's Disease

Sarah Al–Bachari, So Hoon Yoon, Phoebe Emson, Shauna Angell, J. R. Cain, Aswin Abraham, Azeem Chugtai, Edward Sizer, Edwin Barnes, Maryam Al-Wardy, Siddarth Kannan, Rohan Paul-Thaper, Joanna K. Bright, Conor Owens‐Walton, Corey T. McMillan, , Hamied A. Haroon

This paper evaluates automated white matter lesion segmentation methods in Parkinson's disease and healthy controls, finding U-Net-pgs to be the most accurate and reliable approach across multiple metrics and datasets.

Frontiers in Neuroscience · Sep 24, 2026Peer-reviewedNeuroscience