Imperial College London

Dr Andrew Phillips

Faculty of EngineeringDepartment of Civil and Environmental Engineering

Reader in Structural Biomechanics
 
 
 
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Contact

 

+44 (0)20 7594 6081andrew.phillips Website

 
 
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Assistant

 

Ms Ruth Bello +44 (0)20 7594 6040

 
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Location

 

433Skempton BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Bicer:2022:10.1016/j.jbiomech.2022.111301,
author = {Bicer, M and Phillips, ATM and Melis, A and McGregor, AH and Modenese, L},
doi = {10.1016/j.jbiomech.2022.111301},
journal = {JOURNAL OF BIOMECHANICS},
title = {Generative deep learning applied to biomechanics: A new augmentation technique for motion capture datasets},
url = {http://dx.doi.org/10.1016/j.jbiomech.2022.111301},
volume = {144},
year = {2022}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AU - Bicer,M
AU - Phillips,ATM
AU - Melis,A
AU - McGregor,AH
AU - Modenese,L
DO - 10.1016/j.jbiomech.2022.111301
PY - 2022///
SN - 0021-9290
TI - Generative deep learning applied to biomechanics: A new augmentation technique for motion capture datasets
T2 - JOURNAL OF BIOMECHANICS
UR - http://dx.doi.org/10.1016/j.jbiomech.2022.111301
UR - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000875850800003&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a2bf6146997ec60c407a63945d4e92bb
VL - 144
ER -