Author

Ian D. Loram

ORCID 0000-0001-8125-6320Unclaimed 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:cell type annotation· 1

Frequent Co-Authors

Maria Beatriz Sanchez· 1 shared Penelope B Butler· 1 shared Peter J. HardingiD· 1 shared Ryan Cunningham· 1 shared Ryan J. CunninghamiD· 1 shared

Activity by Year

2017-2019 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 4 mutual co-author links

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1 shared paperBioengineering

Maria Beatriz Sanchez

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2 papers

Recent·Most cited

BioengineeringbioRxivPreprintMay 17, 2019

Can machine learning automatically detect the aligned trunk in sitting directly from raw video using a depth camera?

Maria Beatriz Sanchez, Ryan Cunningham, Penelope B Butler, Ian Loram

This paper tests if a deep convolutional neural network can automatically detect aligned trunk posture in sitting from raw HD+D video, achieving 92.7% average precision.

DOI 10.1101/421172

humanimaging

𝕏 PostBluesky

PhysiologybioRxivPreprintJun 29, 2017

The application of deep convolutional neural networks to ultrasound for modelling of dynamic states within human skeletal muscle

Ryan J. Cunningham, Peter J. Harding, Ian D. Loram

This paper uses deep convolutional neural networks to predict muscle states from ultrasound images, achieving accurate predictions of joint angle, electromyography, and torque.

DOI 10.1101/157479

humanimaging

𝕏 PostBluesky