Data-efficient deep learning of radiological image data for outcome prediction after endovascular treatment of patients with acute ischemic stroke

A. Hilbert; L. A. Ramos; H. J. A. van Os; S. D. Olabarriaga; M. L. Tolhuisen; M. J. H. Wermer; R. S. Barros; I. van der Schaaf; D. Dippel; Y. B. W. E. M. Roos; W. H. van Zwam; A. J. Yoo; B. J. Emmer; G. J. Lycklama a Nijeholt; A. H. Zwinderman; G. J. Strijkers; C. B. L. M. Majoie; H. A. Marquering

doi:10.1016/j.compbiomed.2019.103516

Data-efficient deep learning of radiological image data for outcome prediction after endovascular treatment of patients with acute ischemic stroke

A. Hilbert, L. A. Ramos^*, H. J. A. van Os, S. D. Olabarriaga, M. L. Tolhuisen, M. J. H. Wermer, R. S. Barros, I. van der Schaaf, D. Dippel, Y. B. W. E. M. Roos, W. H. van Zwam, A. J. Yoo, B. J. Emmer, G. J. Lycklama a Nijeholt, A. H. Zwinderman, G. J. Strijkers, C. B. L. M. Majoie, H. A. Marquering

^*Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

Original language	English
Article number	103516
Number of pages	7
Journal	Computers in Biology and Medicine
Volume	115
DOIs	https://doi.org/10.1016/j.compbiomed.2019.103516
Publication status	Published - Dec 2019

Keywords

Acute ischemic stroke
Radiological images
Deep learning
Prognostics
ResNet
RFNN
Structured receptive fields
Gradient-weighted class activation mapping
COMPUTED-TOMOGRAPHY
ANGIOGRAPHY
SCORE

Cite this

Hilbert, A., Ramos, L. A., van Os, H. J. A., Olabarriaga, S. D., Tolhuisen, M. L., Wermer, M. J. H., Barros, R. S., van der Schaaf, I., Dippel, D., Roos, Y. B. W. E. M., van Zwam, W. H., Yoo, A. J., Emmer, B. J., Nijeholt, G. J. L. A., Zwinderman, A. H., Strijkers, G. J., Majoie, C. B. L. M., & Marquering, H. A. (2019). Data-efficient deep learning of radiological image data for outcome prediction after endovascular treatment of patients with acute ischemic stroke. Computers in Biology and Medicine, 115, [103516]. https://doi.org/10.1016/j.compbiomed.2019.103516

Hilbert, A. ; Ramos, L. A. ; van Os, H. J. A. ; Olabarriaga, S. D. ; Tolhuisen, M. L. ; Wermer, M. J. H. ; Barros, R. S. ; van der Schaaf, I. ; Dippel, D. ; Roos, Y. B. W. E. M. ; van Zwam, W. H. ; Yoo, A. J. ; Emmer, B. J. ; Nijeholt, G. J. Lycklama a ; Zwinderman, A. H. ; Strijkers, G. J. ; Majoie, C. B. L. M. ; Marquering, H. A. / Data-efficient deep learning of radiological image data for outcome prediction after endovascular treatment of patients with acute ischemic stroke. In: Computers in Biology and Medicine. 2019 ; Vol. 115.

@article{a97ce9a3dbd640b4b0ca4112aad50e27,

title = "Data-efficient deep learning of radiological image data for outcome prediction after endovascular treatment of patients with acute ischemic stroke",

keywords = "Acute ischemic stroke, Radiological images, Deep learning, Prognostics, ResNet, RFNN, Structured receptive fields, Gradient-weighted class activation mapping, COMPUTED-TOMOGRAPHY, ANGIOGRAPHY, SCORE",

author = "A. Hilbert and Ramos, {L. A.} and {van Os}, {H. J. A.} and Olabarriaga, {S. D.} and Tolhuisen, {M. L.} and Wermer, {M. J. H.} and Barros, {R. S.} and {van der Schaaf}, I. and D. Dippel and Roos, {Y. B. W. E. M.} and {van Zwam}, {W. H.} and Yoo, {A. J.} and Emmer, {B. J.} and Nijeholt, {G. J. Lycklama a} and Zwinderman, {A. H.} and Strijkers, {G. J.} and Majoie, {C. B. L. M.} and Marquering, {H. A.}",

year = "2019",

month = dec

doi = "10.1016/j.compbiomed.2019.103516",

language = "English",

volume = "115",

journal = "Computers in Biology and Medicine",

issn = "0010-4825",

publisher = "Elsevier Science",

}

Hilbert, A, Ramos, LA, van Os, HJA, Olabarriaga, SD, Tolhuisen, ML, Wermer, MJH, Barros, RS, van der Schaaf, I, Dippel, D, Roos, YBWEM, van Zwam, WH, Yoo, AJ, Emmer, BJ, Nijeholt, GJLA, Zwinderman, AH, Strijkers, GJ, Majoie, CBLM & Marquering, HA 2019, 'Data-efficient deep learning of radiological image data for outcome prediction after endovascular treatment of patients with acute ischemic stroke', Computers in Biology and Medicine, vol. 115, 103516. https://doi.org/10.1016/j.compbiomed.2019.103516

Data-efficient deep learning of radiological image data for outcome prediction after endovascular treatment of patients with acute ischemic stroke. / Hilbert, A.; Ramos, L. A.; van Os, H. J. A.; Olabarriaga, S. D.; Tolhuisen, M. L.; Wermer, M. J. H.; Barros, R. S.; van der Schaaf, I.; Dippel, D.; Roos, Y. B. W. E. M.; van Zwam, W. H.; Yoo, A. J.; Emmer, B. J.; Nijeholt, G. J. Lycklama a; Zwinderman, A. H.; Strijkers, G. J.; Majoie, C. B. L. M.; Marquering, H. A.

In: Computers in Biology and Medicine, Vol. 115, 103516, 12.2019.

Research output: Contribution to journal › Article › Academic › peer-review

TY - JOUR

T1 - Data-efficient deep learning of radiological image data for outcome prediction after endovascular treatment of patients with acute ischemic stroke

AU - Hilbert, A.

AU - Ramos, L. A.

AU - van Os, H. J. A.

AU - Olabarriaga, S. D.

AU - Tolhuisen, M. L.

AU - Wermer, M. J. H.

AU - Barros, R. S.

AU - van der Schaaf, I.

AU - Dippel, D.

AU - Roos, Y. B. W. E. M.

AU - van Zwam, W. H.

AU - Yoo, A. J.

AU - Emmer, B. J.

AU - Nijeholt, G. J. Lycklama a

AU - Zwinderman, A. H.

AU - Strijkers, G. J.

AU - Majoie, C. B. L. M.

AU - Marquering, H. A.

PY - 2019/12

Y1 - 2019/12

KW - Acute ischemic stroke

KW - Radiological images

KW - Deep learning

KW - Prognostics

KW - ResNet

KW - RFNN

KW - Structured receptive fields

KW - Gradient-weighted class activation mapping

KW - COMPUTED-TOMOGRAPHY

KW - ANGIOGRAPHY

KW - SCORE

U2 - 10.1016/j.compbiomed.2019.103516

DO - 10.1016/j.compbiomed.2019.103516

M3 - Article

VL - 115

JO - Computers in Biology and Medicine

JF - Computers in Biology and Medicine

SN - 0010-4825

M1 - 103516

ER -

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10.1016/j.compbiomed.2019.103516