Evaluating the Predictive Value of Glioma Growth Models for Low-Grade Glioma After Tumor Resection-Reference-Cited by-同舟云学术

Evaluating the Predictive Value of Glioma Growth Models for Low-Grade Glioma After Tumor Resection

Published:2024-01 Issue:1 Volume:43 Page:253-263
ISSN:0278-0062
Container-title:IEEE Transactions on Medical Imaging
language:
Short-container-title:IEEE Trans. Med. Imaging

Author:

van Garderen Karin A.¹^ORCID,van der Voort Sebastian R.¹,Wijnenga Maarten M. J.²^ORCID,Incekara Fatih¹,Alafandi Ahmad¹,Kapsas Georgios¹,Gahrmann Renske¹,Schouten Joost W.²,Dubbink Hendrikus J.³^ORCID,Vincent Arnaud J. P. E.²,van den Bent Martin⁴,French Pim J.⁴,Smits Marion¹^ORCID,Klein Stefan¹^ORCID

Affiliation:

1. Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands

2. Department of Neurosurgery, Erasmus MC, Rotterdam, The Netherlands

3. Department of Pathology, Erasmus MC, Rotterdam, The Netherlands

4. Department of Neurology, Erasmus MC, Rotterdam, The Netherlands

Funder

Dutch Cancer Society through the GLASS-NL Project

Medical Delta

Dutch Research Council

European Union’s Horizon 2020 Research and Innovation Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Radiological and Ultrasound Technology,Software

Link

http://xplorestaging.ieee.org/ielx7/42/10379496/10193839.pdf?arnumber=10193839

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