Enhancement for Automated Estimation of Blood Flow Axial Velocity from Conjunctival Videos by Deep Learning

Min Jing; Julie Moore; Jonathan Mailey; Agnes Awuah; Paul Brennan; Andrew McNeil; Louise Robertson; James McLaughlin; M. Andrew Nesbit; Emanuele Trucco; Mark S. Spence; Tara C. B. Moore

Enhancement for Automated Estimation of Blood Flow Axial Velocity from Conjunctival Videos by Deep Learning

Min Jing
, Julie Moore
, Jonathan Mailey
, Agnes Awuah
, Paul Brennan
, Andrew McNeil
, Louise Robertson
, James McLaughlin
, M. Andrew Nesbit
, Emanuele Trucco
, Mark S. Spence
, Tara C. B. Moore

Research output: Contribution to conference › Abstract › peer-review

Abstract

1-page abstract

Original language	English
Publication status	Accepted - 3 May 2022
Event	The 44th International Engineering in Medicine and Biology Conference (EMBC) - Glasgow, United Kingdom Duration: 11 Jul 2022 → 15 Jul 2022

Conference

Conference	The 44th International Engineering in Medicine and Biology Conference (EMBC)
Country/Territory	United Kingdom
City	Glasgow
Period	11/07/22 → 15/07/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being
SDG 9 Industry, Innovation, and Infrastructure

Cite this

Jing, M., Moore, J., Mailey , J., Awuah, A., Brennan, P., McNeil, A., Robertson, L., McLaughlin, J., Nesbit, M. A., Trucco, E., Spence, M. S., & Moore, T. C. B. (Accepted/In press). Enhancement for Automated Estimation of Blood Flow Axial Velocity from Conjunctival Videos by Deep Learning. Abstract from The 44th International Engineering in Medicine and Biology Conference (EMBC) , Glasgow, United Kingdom.

@conference{e3f7575f53cd4ddf987edb8ddcf3f3a3,

title = "Enhancement for Automated Estimation of Blood Flow Axial Velocity from Conjunctival Videos by Deep Learning",

abstract = "1-page abstract",

author = "Min Jing and Julie Moore and Jonathan Mailey and Agnes Awuah and Paul Brennan and Andrew McNeil and Louise Robertson and James McLaughlin and Nesbit, \{M. Andrew\} and Emanuele Trucco and Spence, \{Mark S.\} and Moore, \{Tara C. B.\}",

year = "2022",

month = may,

day = "3",

language = "English",

note = "The 44th International Engineering in Medicine and Biology Conference (EMBC) ; Conference date: 11-07-2022 Through 15-07-2022",

}

Jing, M, Moore, J, Mailey , J, Awuah, A, Brennan, P, McNeil, A, Robertson, L, McLaughlin, J , Nesbit, MA, Trucco, E, Spence, MS & Moore, TCB 2022, 'Enhancement for Automated Estimation of Blood Flow Axial Velocity from Conjunctival Videos by Deep Learning', The 44th International Engineering in Medicine and Biology Conference (EMBC) , Glasgow, United Kingdom, 11/07/22 - 15/07/22.

TY - CONF

T1 - Enhancement for Automated Estimation of Blood Flow Axial Velocity from Conjunctival Videos by Deep Learning

AU - Jing, Min

AU - Moore, Julie

AU - Mailey , Jonathan

AU - Awuah, Agnes

AU - Brennan, Paul

AU - McNeil, Andrew

AU - Robertson, Louise

AU - McLaughlin, James

AU - Nesbit, M. Andrew

AU - Trucco, Emanuele

AU - Spence, Mark S.

AU - Moore, Tara C. B.

PY - 2022/5/3

Y1 - 2022/5/3

N2 - 1-page abstract

AB - 1-page abstract

UR - https://embc.embs.org/2022/

M3 - Abstract

T2 - The 44th International Engineering in Medicine and Biology Conference (EMBC)

Y2 - 11 July 2022 through 15 July 2022

ER -

Enhancement for Automated Estimation of Blood Flow Axial Velocity from Conjunctival Videos by Deep Learning

Abstract

Conference

UN SDGs

Other files and links

Fingerprint

Using the eye to predict risk for cardiovascular disease: the living lab

Cite this

Enhancement for Automated Estimation of Blood Flow Axial Velocity from Conjunctival Videos by Deep Learning

Abstract

Conference

UN SDGs

Other files and links

Fingerprint

Student theses

Using the eye to predict risk for cardiovascular disease: the living lab

Cite this