Employing Visual Analytics to Aid the Design of White Matter Hyperintensity Classifiers

Renata Georgia Raidou; Hugo J Kuijf; Neda Sepasian; Nicola Pezzotti; Willem H Bouvy; Marcel Breeuwer; Anna Vilanova

doi:10.1007/978-3-319-46723-8_12

Employing Visual Analytics to Aid the Design of White Matter Hyperintensity Classifiers

Renata Georgia Raidou
, Hugo J Kuijf
, Neda Sepasian
, Nicola Pezzotti
, Willem H Bouvy
, Marcel Breeuwer
, Anna Vilanova

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

7 Citations (Scopus)

Original language	English
Title of host publication	Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016.
Editors	S. Ourselin , L. Joskowicz , M. Sabuncu , G. Unal , W Wells
Place of Publication	Cham
Publisher	Springer
Pages	97-105
Number of pages	9
ISBN (Electronic)	978-3-319-46723-8
ISBN (Print)	978-3-319-46722-1
DOIs	https://doi.org/10.1007/978-3-319-46723-8_12
Publication status	Published - 2016
Externally published	Yes
Event	MICCAI 2016: The 19th International Conference on Medical Image Computing and Computer Assisted Intervention - Athens, Greece Duration: 17-Oct-2016 → 21-Oct-2016

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Volume	9901
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	MICCAI 2016
Country/Territory	Greece
City	Athens
Period	17/10/2016 → 21/10/2016

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Raidou, R. G., Kuijf, H. J., Sepasian, N., Pezzotti, N., Bouvy, W. H., Breeuwer, M., & Vilanova, A. (2016). Employing Visual Analytics to Aid the Design of White Matter Hyperintensity Classifiers. In S. Ourselin , L. Joskowicz , M. Sabuncu , G. Unal , & W. Wells (Eds.), Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016. (pp. 97-105). (Lecture Notes in Computer Science ; Vol. 9901). Springer. https://doi.org/10.1007/978-3-319-46723-8_12

Raidou, Renata Georgia ; Kuijf, Hugo J ; Sepasian, Neda et al. / Employing Visual Analytics to Aid the Design of White Matter Hyperintensity Classifiers. Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016.. editor / S. Ourselin ; L. Joskowicz ; M. Sabuncu ; G. Unal ; W Wells. Cham : Springer, 2016. pp. 97-105 (Lecture Notes in Computer Science ).

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title = "Employing Visual Analytics to Aid the Design of White Matter Hyperintensity Classifiers",

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year = "2016",

doi = "10.1007/978-3-319-46723-8\_12",

language = "English",

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booktitle = "Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016.",

note = "MICCAI 2016 : The 19th International Conference on Medical Image Computing and Computer Assisted Intervention ; Conference date: 17-10-2016 Through 21-10-2016",

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Raidou, RG, Kuijf, HJ, Sepasian, N, Pezzotti, N, Bouvy, WH, Breeuwer, M & Vilanova, A 2016, Employing Visual Analytics to Aid the Design of White Matter Hyperintensity Classifiers. in S Ourselin , L Joskowicz , M Sabuncu , G Unal & W Wells (eds), Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016.. Lecture Notes in Computer Science , vol. 9901, Springer, Cham, pp. 97-105, MICCAI 2016, Athens, Greece, 17/10/2016. https://doi.org/10.1007/978-3-319-46723-8_12

Employing Visual Analytics to Aid the Design of White Matter Hyperintensity Classifiers. / Raidou, Renata Georgia; Kuijf, Hugo J; Sepasian, Neda et al.
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016.. ed. / S. Ourselin ; L. Joskowicz ; M. Sabuncu ; G. Unal ; W Wells. Cham: Springer, 2016. p. 97-105 (Lecture Notes in Computer Science ; Vol. 9901).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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T1 - Employing Visual Analytics to Aid the Design of White Matter Hyperintensity Classifiers

AU - Raidou, Renata Georgia

AU - Kuijf, Hugo J

AU - Sepasian, Neda

AU - Pezzotti, Nicola

AU - Bouvy, Willem H

AU - Breeuwer, Marcel

AU - Vilanova, Anna

PY - 2016

Y1 - 2016

U2 - 10.1007/978-3-319-46723-8_12

DO - 10.1007/978-3-319-46723-8_12

M3 - Conference contribution

SN - 978-3-319-46722-1

T3 - Lecture Notes in Computer Science

SP - 97

EP - 105

BT - Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016.

A2 - Ourselin , S.

A2 - Joskowicz , L.

A2 - Sabuncu , M.

A2 - Unal , G.

A2 - Wells, W

PB - Springer

CY - Cham

T2 - MICCAI 2016

Y2 - 17 October 2016 through 21 October 2016

ER -

Raidou RG, Kuijf HJ, Sepasian N, Pezzotti N, Bouvy WH, Breeuwer M et al. Employing Visual Analytics to Aid the Design of White Matter Hyperintensity Classifiers. In Ourselin S, Joskowicz L, Sabuncu M, Unal G, Wells W, editors, Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016.. Cham: Springer. 2016. p. 97-105. (Lecture Notes in Computer Science ). doi: 10.1007/978-3-319-46723-8_12