Imperial College London

Professor Dan Elson

Faculty of MedicineDepartment of Surgery & Cancer

Professor of Surgical Imaging
 
 
 
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Contact

 

+44 (0)20 7594 1700daniel.elson Website

 
 
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Location

 

415 Bessemer BuildingBessemer BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inproceedings{Walsted:2018:10.1183/13993003.congress-2018.OA3563,
author = {Walsted, ES and Lin, J and Elson, DS and Hull, JH},
doi = {10.1183/13993003.congress-2018.OA3563},
publisher = {EUROPEAN RESPIRATORY SOC JOURNALS LTD},
title = {Objective quantification and analysis of laryngeal obstruction using deep learning algorithms},
url = {http://dx.doi.org/10.1183/13993003.congress-2018.OA3563},
year = {2018}
}

RIS format (EndNote, RefMan)

TY  - CPAPER
AU - Walsted,ES
AU - Lin,J
AU - Elson,DS
AU - Hull,JH
DO - 10.1183/13993003.congress-2018.OA3563
PB - EUROPEAN RESPIRATORY SOC JOURNALS LTD
PY - 2018///
SN - 0903-1936
TI - Objective quantification and analysis of laryngeal obstruction using deep learning algorithms
UR - http://dx.doi.org/10.1183/13993003.congress-2018.OA3563
UR - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000455567100275&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
ER -