Author

Junyi Zhang

Peking Union Medical College HospitalORCID 0000-0002-9868-5233Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 1

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

Alexandre LaurentiD· 1 shared Ami TsuchidaiD· 1 shared Bernard M. MazoyeriD· 1 shared Christophe TzourioiD· 1 shared Filipa Adonias· 1 shared Leonie Lampe· 1 shared Marc JoliotiD· 1 shared Philippe BoutinaudiD· 1 shared

Activity by Year

2021-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperNeuroscience

Alexandre LaurentORCID

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1 paper

Recent·Most cited

3D segmentation of perivascular spaces on T1-weighted 3 Tesla MR images with a convolutional autoencoder and a U-shaped neural network

Philippe Boutinaud, Ami Tsuchida, Alexandre Laurent, Filipa Adonias, Zahra Hanifehlou, Victor Nozais, Violaine Verrecchia, Leonie Lampe, Junyi Zhang, Yi‐Cheng Zhu, Christophe Tzourio, Bernard M. Mazoyer, Marc Joliot

This paper develops a deep learning algorithm for 3D segmentation of perivascular spaces in MRI data, achieving high accuracy and demonstrating interoperability across scanners.

Frontiers in Neuroinformatics · Jun 18, 2021Peer-reviewedNeuroscience