A Prognostic Model of Glioblastoma Multiforme Using Survival Bayesian Networks

Simon Rabinowicz; Arjen Hommersom; R.S. Butz; Matt Williams

doi:10.1007/978-3-319-59758-4_9

A Prognostic Model of Glioblastoma Multiforme Using Survival Bayesian Networks

Simon Rabinowicz, Arjen Hommersom^*, R.S. Butz, Matt Williams

^*Corresponding author for this work

Research Line Resilience (part of LIRS program)

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

Original language	English
Title of host publication	Artificial Intelligence in Medicine
Subtitle of host publication	16th Conference on Artificial Intelligence in Medicine, AIME 2017, Vienna, Austria, June 21-24, 2017, Proceedings
Editors	Annette ten Teije, Christian Popow, John H. Holmes, Lucia Sacchi
Place of Publication	Cham
Publisher	Springer International Publishing AG
Pages	81-85
Number of pages	5
ISBN (Electronic)	9783319597584
ISBN (Print)	9783319597577
DOIs	https://doi.org/10.1007/978-3-319-59758-4_9
Publication status	Published - 2017

Publication series

Series	Lecture Notes in Computer Science
Volume	10259
ISSN	0302-9743

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10.1007/978-3-319-59758-4_9

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Rabinowicz, S., Hommersom, A., Butz, R. S., & Williams, M. (2017). A Prognostic Model of Glioblastoma Multiforme Using Survival Bayesian Networks. In A. ten Teije, C. Popow, J. H. Holmes, & L. Sacchi (Eds.), Artificial Intelligence in Medicine: 16th Conference on Artificial Intelligence in Medicine, AIME 2017, Vienna, Austria, June 21-24, 2017, Proceedings (pp. 81-85). Springer International Publishing AG. https://doi.org/10.1007/978-3-319-59758-4_9

Rabinowicz, Simon ; Hommersom, Arjen ; Butz, R.S. et al. / A Prognostic Model of Glioblastoma Multiforme Using Survival Bayesian Networks. Artificial Intelligence in Medicine: 16th Conference on Artificial Intelligence in Medicine, AIME 2017, Vienna, Austria, June 21-24, 2017, Proceedings. editor / Annette ten Teije ; Christian Popow ; John H. Holmes ; Lucia Sacchi. Cham : Springer International Publishing AG, 2017. pp. 81-85 (Lecture Notes in Computer Science, Vol. 10259).

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title = "A Prognostic Model of Glioblastoma Multiforme Using Survival Bayesian Networks",

author = "Simon Rabinowicz and Arjen Hommersom and R.S. Butz and Matt Williams",

year = "2017",

doi = "10.1007/978-3-319-59758-4_9",

language = "English",

isbn = "9783319597577",

series = "Lecture Notes in Computer Science",

publisher = "Springer International Publishing AG",

pages = "81--85",

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booktitle = "Artificial Intelligence in Medicine",

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Rabinowicz, S, Hommersom, A , Butz, RS & Williams, M 2017, A Prognostic Model of Glioblastoma Multiforme Using Survival Bayesian Networks. in A ten Teije, C Popow, JH Holmes & L Sacchi (eds), Artificial Intelligence in Medicine: 16th Conference on Artificial Intelligence in Medicine, AIME 2017, Vienna, Austria, June 21-24, 2017, Proceedings. Springer International Publishing AG, Cham, Lecture Notes in Computer Science, vol. 10259, pp. 81-85. https://doi.org/10.1007/978-3-319-59758-4_9

A Prognostic Model of Glioblastoma Multiforme Using Survival Bayesian Networks. / Rabinowicz, Simon; Hommersom, Arjen ; Butz, R.S. et al.
Artificial Intelligence in Medicine: 16th Conference on Artificial Intelligence in Medicine, AIME 2017, Vienna, Austria, June 21-24, 2017, Proceedings. ed. / Annette ten Teije; Christian Popow; John H. Holmes; Lucia Sacchi. Cham: Springer International Publishing AG, 2017. p. 81-85 (Lecture Notes in Computer Science, Vol. 10259).

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

TY - GEN

T1 - A Prognostic Model of Glioblastoma Multiforme Using Survival Bayesian Networks

AU - Rabinowicz, Simon

AU - Hommersom, Arjen

AU - Butz, R.S.

AU - Williams, Matt

PY - 2017

Y1 - 2017

U2 - 10.1007/978-3-319-59758-4_9

DO - 10.1007/978-3-319-59758-4_9

M3 - Conference Article in proceeding

SN - 9783319597577

T3 - Lecture Notes in Computer Science

SP - 81

EP - 85

BT - Artificial Intelligence in Medicine

A2 - ten Teije, Annette

A2 - Popow, Christian

A2 - Holmes, John H.

A2 - Sacchi, Lucia

PB - Springer International Publishing AG

CY - Cham

ER -

Rabinowicz S, Hommersom A , Butz RS, Williams M. A Prognostic Model of Glioblastoma Multiforme Using Survival Bayesian Networks. In ten Teije A, Popow C, Holmes JH, Sacchi L, editors, Artificial Intelligence in Medicine: 16th Conference on Artificial Intelligence in Medicine, AIME 2017, Vienna, Austria, June 21-24, 2017, Proceedings. Cham: Springer International Publishing AG. 2017. p. 81-85. (Lecture Notes in Computer Science, Vol. 10259). doi: 10.1007/978-3-319-59758-4_9

A Prognostic Model of Glioblastoma Multiforme Using Survival Bayesian Networks

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