Author

Neil Horner

Mary Lyon Centre at MRC HarwellORCID 0000-0002-0550-4537Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Neuroscience· 1

Signature Assays, Organisms & Methods

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Assay:imaging· 3 Research Focus:cell type annotation· 2 Approach:deep learning· 2 Organism:mouse· 2 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Ann‐Marie MalloniD· 3 shared Henrik WesterbergiD· 3 shared Ramón CaseroiD· 2 shared Aaron McCoyiD· 1 shared Alan AberdeeniD· 1 shared Chris J ArmitiD· 1 shared Daniel J. DelbarreiD· 1 shared Dieter Adrian HäringiD· 1 shared

Activity by Year

2021-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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3 shared papersBioinformatics

Ann‐Marie MallonORCID

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3 papers

Recent·Most cited

Application of a convolutional neural network to the quality control of MRI defacing

Daniel J. Delbarre, Luís Santos, Habib Ganjgahi, Neil Horner, Aaron McCoy, Henrik Westerberg, Dieter Adrian Häring, Thomas E. Nichols, Ann‐Marie Mallon

The paper develops a convolutional neural network to automate MRI defacing quality control, reducing manual checks and improving efficiency.

Computers in Biology and Medicine · Oct 18, 2022Peer-reviewedNeuroscience

Phenotyping of Klf14 mouse white adipose tissue enabled by whole slide segmentation with deep neural networks

Ramón Casero, Henrik Westerberg, Neil Horner, Marianne A. Yon, Alan Aberdeen, Vicente Grau, Roger Cox, Jens Rittscher, Ann‐Marie Mallon

The paper introduces DeepCytometer, a deep learning pipeline for segmenting whole slides of mouse white adipose tissue, and uses it to analyze phenotypes in Klf14 mouse models.

bioRxiv · Jun 3, 2021 · PreprintBioinformatics

LAMA: Automated image analysis for developmentalphenotyping of mouse embryos

Neil Horner, Shanmugasundaram Venkataraman, Chris J Armit, Ramón Casero, James M. Brown, Michael D. Wong, Matthijs C. van Eede, R. Mark Henkelman, Sara Johnson, Lydia Teboul, Sara E. Wells, Steve D. M. Brown, Henrik Westerberg, Ann‐Marie Mallon

LAMA automates 3D image analysis for mouse embryo phenotyping, integrating with an anatomical atlas to annotate dysmorphologies.

Development · Feb 11, 2021Peer-reviewedBioinformatics