Author

Philip Novosad

McGill UniversityORCID 0000-0003-3431-6006Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Assay:imaging· 1

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D. Louis CollinsiD· 1 shared Vladimir FonoviD· 1 shared

Activity by Year

2019-2019 · peak 1/yr

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2 top collaborators · 1 mutual co-author link

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1 shared paperBioinformatics

D. Louis CollinsORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintNov 16, 2019

Unsupervised domain adaptation for the automated segmentation of neuroanatomy in MRI: a deep learning approach

Philip Novosad, Vladimir Fonov, D. Louis Collins

This paper develops an unsupervised domain adaptation method to improve automated neuroanatomy segmentation in MRI across different domains without target domain annotations.

7 citations

imagingdeep learning

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