Author

W. McNally

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioengineering· 3

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Assay:imaging· 3 Approach:deep learning· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:database / resource· 1 Research Focus:dimensionality reduction· 1

Frequent Co-Authors

A. Wong· 3 shared B. Laschowski· 3 shared J. McPhee· 3 shared

Activity by Year

2020-2021 · peak 2/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

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3 shared papersBioengineering

A. Wong

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3 papers

Recent·Most cited

Environment Classification for Robotic Leg Prostheses and Exoskeletons using Deep Convolutional Neural Networks

B. Laschowski, W. McNally, A. Wong, J. McPhee

This paper develops an environment classification system for robotic leg prostheses and exoskeletons using deep convolutional neural networks, achieving accurate and efficient real-time predictions of walking environments.

bioRxiv · Jun 24, 2021Bioengineering

Computer Vision and Deep Learning for Environment-Adaptive Control of Robotic Lower-Limb Exoskeletons

B. Laschowski, W. McNally, A. Wong, J. McPhee

The paper develops an environment recognition system for robotic exoskeletons using computer vision and deep learning, achieving 73% classification accuracy on a new dataset.

bioRxiv · Apr 2, 2021 · PreprintBioengineering

ExoNet Database: Wearable Camera Images of Human Locomotion Environments

B. Laschowski, W. McNally, A. Wong, J. McPhee

ExoNet provides a large-scale, open-source database of wearable camera images for human locomotion environments to improve image classification algorithms for exoskeletons and prostheses.

bioRxiv · Oct 23, 2020Bioengineering