Author

Andrea Vedaldi

University of OxfordORCID 0000-0003-1374-2858Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Organism:human· 2 Assay:imaging· 2 Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Christian F. BeckmanniD· 2 shared Han PengiD· 2 shared Stephen M. SmithiD· 2 shared Weikang GongiD· 2 shared

Activity by Year

2020-2021 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

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2 shared papersNeuroscience

Christian F. BeckmannORCID

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2 papers

Recent·Most cited

NeuroscienceFrontiers in PsychiatryPeer-reviewedMay 10, 2021

Optimising a Simple Fully Convolutional Network (SFCN) for accurate brain age prediction in the PAC 2019 challenge

Weikang Gong, Christian F. Beckmann, Andrea Vedaldi…·Han Peng

The paper describes a lightweight deep convolutional neural network for brain age prediction from MRI scans, achieving top results in the PAC 2019 challenge.

42 citationstop 4%

humanimaging

𝕏 PostBluesky

NeuroscienceMedical Image AnalysisPeer-reviewedOct 19, 2020

Accurate brain age prediction with lightweight deep neural networks

Han Peng, Weikang Gong, Christian F. Beckmann…·Stephen M. Smith

The paper introduces a lightweight deep neural network, SFCN, for accurate brain age prediction using MRI data, achieving state-of-the-art performance on UK Biobank data.

510 citationstop 1%

humanimaging

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