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

A. Hilbert, L. Ramos, H. van Os, S. Olabarriaga, M. Tolhuisen, M. Wermer, R. Barros, I. van der Schaaf, D. Dippel, Y. Roos, W. van Zwam, A. Yoo, B. Emmer, G. à Nijeholt, A. Zwinderman, G. Strijkers, C. Majoie, and H. Marquering. Comput. Biol. Medicine, (2019)

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W Roos

M B Tahoori

M E Hammadeh

Yvo Biderbost

Adventyna yvotenko-Piankiv

Other publications of authors with the same name

Data-efficient deep learning of radiological image data for outcome prediction after endovascular treatment of patients with acute ischemic stroke.A. Hilbert, L. Ramos, H. van Os, S. Olabarriaga, M. Tolhuisen, M. Wermer, R. Barros, I. van der Schaaf, D. Dippel, Y. Roos and 8 other author(s). Comput. Biol. Medicine, (2019)In silico thrombectomy trials for acute ischemic stroke.C. Miller, P. Konduri, S. Bridio, G. Luraghi, N. Terreros, N. Boodt, N. Samuels, J. Matas, F. Migliavacca, H. Lingsma and 6 other author(s). Comput. Methods Programs Biomed., (2023)Prediction of final infarct volume from native CT perfusion and treatment parameters using deep learning.D. Robben, A. Boers, H. Marquering, L. Langezaal, Y. Roos, R. van Oostenbrugge, W. van Zwam, D. Dippel, C. Majoie, A. van der Lugt and 2 other author(s). CoRR, (2018)The Effect of Non-contrast CT Slice Thickness on Thrombus Density and Perviousness Assessment.M. Tolhuisen, J. Enthoven, E. Santos, W. Niessen, L. Beenen, D. Dippel, A. van der Lugt, W. van Zwam, Y. Roos, R. van Oostenbrugge and 2 other author(s). CMMI/RAMBO/SWITCH@MICCAI, volume 10555 of Lecture Notes in Computer Science, page 168-175. Springer, (2017)Quantitative Collateral Grading on CT Angiography in Patients with Acute Ischemic Stroke.A. Boers, R. Barros, I. Jansen, C. Slump, D. Dippel, A. van der Lugt, W. van Zwam, Y. Roos, R. van Oostenbrugge, C. Majoie and 1 other author(s). CMMI/RAMBO/SWITCH@MICCAI, volume 10555 of Lecture Notes in Computer Science, page 176-184. Springer, (2017)Prediction of final infarct volume from native CT perfusion and treatment parameters using deep learning.D. Robben, A. Boers, H. Marquering, L. Langezaal, Y. Roos, R. van Oostenbrugge, W. van Zwam, D. Dippel, C. Majoie, A. van der Lugt and 2 other author(s). Medical Image Anal., (2020)Evolutionary algorithms and decision trees for predicting poor outcome after endovascular treatment for acute ischemic stroke.N. Kappelhof, L. Ramos, M. Kappelhof, H. van Os, V. Chalos, K. van Kranendonk, N. Kruyt, Y. Roos, W. van Zwam, I. van der Schaaf and 7 other author(s). Comput. Biol. Medicine, (2021)

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Disambiguation of "Roos, Yvo B. W. E. M."

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

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

Please choose a person to relate this publication to

W Roos

M B Tahoori

M E Hammadeh

Yvo Biderbost

Adventyna yvotenko-Piankiv

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Roos, Yvo B. W. E. M."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Data-efficient deep learning of radiological image data for outcome prediction after endovascular treatment of patients with acute ischemic stroke.

Please choose a person to relate this publication to

W Roos

M B Tahoori

M E Hammadeh

Yvo Biderbost

Adventyna yvotenko-Piankiv

Other publications of authors with the same name

Disambiguation