Combining deep learning and radiomics to predict HPV status in oropharyngeal squamous cell carcinoma

A. Jochems, R. T. H. Leijenaar, M. Bogowicz, F. J. P. Hoebers, F. Wesseling, S. H. Huang, B. Chan, J. N. Waldron, B. O'Sullivan, D. Rietveld, C. R. Leemans, O. Riesterer, S. Tanadini-Lang, M. Guckenberger, K. Ikenberg, P. Lambin

Research output: Contribution to journalMeeting AbstractAcademic

Original languageEnglish
Pages (from-to)S504-S505
JournalRadiotherapy and Oncology
Volume127
Publication statusPublished - Apr 2018

Cite this

Jochems, A., Leijenaar, R. T. H., Bogowicz, M., Hoebers, F. J. P., Wesseling, F., Huang, S. H., ... Lambin, P. (2018). Combining deep learning and radiomics to predict HPV status in oropharyngeal squamous cell carcinoma. Radiotherapy and Oncology, 127, S504-S505.
Jochems, A. ; Leijenaar, R. T. H. ; Bogowicz, M. ; Hoebers, F. J. P. ; Wesseling, F. ; Huang, S. H. ; Chan, B. ; Waldron, J. N. ; O'Sullivan, B. ; Rietveld, D. ; Leemans, C. R. ; Riesterer, O. ; Tanadini-Lang, S. ; Guckenberger, M. ; Ikenberg, K. ; Lambin, P. / Combining deep learning and radiomics to predict HPV status in oropharyngeal squamous cell carcinoma. In: Radiotherapy and Oncology. 2018 ; Vol. 127. pp. S504-S505.
@article{6e4a92e3cdc043debc47949a9c4d96b7,
title = "Combining deep learning and radiomics to predict HPV status in oropharyngeal squamous cell carcinoma",
author = "A. Jochems and Leijenaar, {R. T. H.} and M. Bogowicz and Hoebers, {F. J. P.} and F. Wesseling and Huang, {S. H.} and B. Chan and Waldron, {J. N.} and B. O'Sullivan and D. Rietveld and Leemans, {C. R.} and O. Riesterer and S. Tanadini-Lang and M. Guckenberger and K. Ikenberg and P. Lambin",
year = "2018",
month = "4",
language = "English",
volume = "127",
pages = "S504--S505",
journal = "Radiotherapy and Oncology",
issn = "0167-8140",
publisher = "Elsevier Ireland Ltd",

}

Jochems, A, Leijenaar, RTH, Bogowicz, M, Hoebers, FJP, Wesseling, F, Huang, SH, Chan, B, Waldron, JN, O'Sullivan, B, Rietveld, D, Leemans, CR, Riesterer, O, Tanadini-Lang, S, Guckenberger, M, Ikenberg, K & Lambin, P 2018, 'Combining deep learning and radiomics to predict HPV status in oropharyngeal squamous cell carcinoma' Radiotherapy and Oncology, vol. 127, pp. S504-S505.

Combining deep learning and radiomics to predict HPV status in oropharyngeal squamous cell carcinoma. / Jochems, A.; Leijenaar, R. T. H.; Bogowicz, M.; Hoebers, F. J. P.; Wesseling, F.; Huang, S. H.; Chan, B.; Waldron, J. N.; O'Sullivan, B.; Rietveld, D.; Leemans, C. R.; Riesterer, O.; Tanadini-Lang, S.; Guckenberger, M.; Ikenberg, K.; Lambin, P.

In: Radiotherapy and Oncology, Vol. 127, 04.2018, p. S504-S505.

Research output: Contribution to journalMeeting AbstractAcademic

TY - JOUR

T1 - Combining deep learning and radiomics to predict HPV status in oropharyngeal squamous cell carcinoma

AU - Jochems, A.

AU - Leijenaar, R. T. H.

AU - Bogowicz, M.

AU - Hoebers, F. J. P.

AU - Wesseling, F.

AU - Huang, S. H.

AU - Chan, B.

AU - Waldron, J. N.

AU - O'Sullivan, B.

AU - Rietveld, D.

AU - Leemans, C. R.

AU - Riesterer, O.

AU - Tanadini-Lang, S.

AU - Guckenberger, M.

AU - Ikenberg, K.

AU - Lambin, P.

PY - 2018/4

Y1 - 2018/4

M3 - Meeting Abstract

VL - 127

SP - S504-S505

JO - Radiotherapy and Oncology

JF - Radiotherapy and Oncology

SN - 0167-8140

ER -

Jochems A, Leijenaar RTH, Bogowicz M, Hoebers FJP, Wesseling F, Huang SH et al. Combining deep learning and radiomics to predict HPV status in oropharyngeal squamous cell carcinoma. Radiotherapy and Oncology. 2018 Apr;127:S504-S505.