Automatic classification of abdominal aortic aneurysms to identify patients at risk of aneurysm expansion and rupture

Georgia Sourgia-koutraki; Olivia McBride; Jennifer Robson; Rachael Forsythe; Chengjia Wang; Thomas MacGillivray; Calum Gray; Keith Goatman; Julian Camilleri-Brennan; David Newby; Scott Semple

Automatic classification of abdominal aortic aneurysms to identify patients at risk of aneurysm expansion and rupture

Georgia Sourgia-koutraki (Lead Author), Olivia McBride, Jennifer Robson, Rachael Forsythe, Chengjia Wang, Thomas MacGillivray, Calum Gray, Keith Goatman, Julian Camilleri-Brennan, David Newby, Scott Semple

Research output: Contribution to journal › Meeting abstract › peer-review

Original language	English
Article number	309
Pages (from-to)	s237-s238
Number of pages	2
Journal	Magnetic Resonance Materials in Physics, Biology and Medicine
Volume	28
Issue number	S1
Publication status	Published - 2015

Cite this

Sourgia-koutraki, G., McBride, O., Robson, J., Forsythe, R., Wang, C., MacGillivray, T., Gray, C., Goatman, K., Camilleri-Brennan, J., Newby, D., & Semple, S. (2015). Automatic classification of abdominal aortic aneurysms to identify patients at risk of aneurysm expansion and rupture. Magnetic Resonance Materials in Physics, Biology and Medicine, 28(S1), s237-s238. Article 309.

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title = "Automatic classification of abdominal aortic aneurysms to identify patients at risk of aneurysm expansion and rupture",

author = "Georgia Sourgia-koutraki and Olivia McBride and Jennifer Robson and Rachael Forsythe and Chengjia Wang and Thomas MacGillivray and Calum Gray and Keith Goatman and Julian Camilleri-Brennan and David Newby and Scott Semple",

year = "2015",

language = "English",

volume = "28",

pages = "s237--s238",

journal = "Magnetic Resonance Materials in Physics, Biology and Medicine",

issn = "0968-5243",

publisher = "Springer",

number = "S1",

}

Sourgia-koutraki, G, McBride, O, Robson, J, Forsythe, R, Wang, C, MacGillivray, T , Gray, C, Goatman, K, Camilleri-Brennan, J, Newby, D & Semple, S 2015, 'Automatic classification of abdominal aortic aneurysms to identify patients at risk of aneurysm expansion and rupture', Magnetic Resonance Materials in Physics, Biology and Medicine, vol. 28, no. S1, 309, pp. s237-s238.

Automatic classification of abdominal aortic aneurysms to identify patients at risk of aneurysm expansion and rupture. / Sourgia-koutraki, Georgia (Lead Author); McBride, Olivia; Robson, Jennifer et al.
In: Magnetic Resonance Materials in Physics, Biology and Medicine, Vol. 28, No. S1, 309, 2015, p. s237-s238.

Research output: Contribution to journal › Meeting abstract › peer-review

TY - JOUR

T1 - Automatic classification of abdominal aortic aneurysms to identify patients at risk of aneurysm expansion and rupture

AU - Sourgia-koutraki, Georgia

AU - McBride, Olivia

AU - Robson, Jennifer

AU - Forsythe, Rachael

AU - Wang, Chengjia

AU - MacGillivray, Thomas

AU - Gray, Calum

AU - Goatman, Keith

AU - Camilleri-Brennan, Julian

AU - Newby, David

AU - Semple, Scott

PY - 2015

Y1 - 2015

M3 - Meeting abstract

SN - 0968-5243

VL - 28

SP - s237-s238

JO - Magnetic Resonance Materials in Physics, Biology and Medicine

JF - Magnetic Resonance Materials in Physics, Biology and Medicine

IS - S1

M1 - 309

ER -