Author

B. J. MacIntosh

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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Bioengineering· 1 Biophysics· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:imaging· 2 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Approach:diffusion model· 1 Research Focus:host-pathogen & immune response· 1 Research Focus:spatial domain detection· 1 Approach:statistical model· 1

Frequent Co-Authors

A. Gilboa· 1 shared A. Sekuler· 1 shared A. Wong· 1 shared B. Lam· 1 shared C. Heyn· 1 shared E. Roudaia· 1 shared H. Gunraj· 1 shared J. A. Chad· 1 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperBiophysics

A. Gilboa

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2 papers

Recent·Most cited

BiophysicsbioRxivPreprintSep 29, 2022

Sensitivity of diffusion-tensor and correlated diffusion imaging to white-matter microstructural abnormalities: application in COVID-19

N. Teller, J. A. Chad, A. Wong…·J. J. Chen

This study compares diffusion MRI methods to detect white-matter changes in COVID-19 patients, finding correlated diffusion imaging is most sensitive to microstructural abnormalities.

DOI 10.1101/2022.09.29.510004

humanimaging

𝕏 PostBluesky

BioengineeringbioRxivJun 4, 2021

Automated Generation of Cerebral Blood Flow Maps Using Deep Learning and Multiple Delay Arterial Spin-Labelled MRI

N. J. Luciw, Z. Shirzadi, S. E. Black…·B. J. MacIntosh

This paper develops a deep learning method to estimate cerebral blood flow and arterial transit time from multi-PLD ASL MRI, achieving faster and more accurate results than conventional methods.

DOI 10.1002/mrm.29193

humanimaging

𝕏 PostBluesky