Raphael Meier
Raphael Meier
Institute for Diagnostic and Interventional Neuroradiology, University Hospital Inselspital, Bern
Verified email at insel.ch
Title
Cited by
Cited by
Year
The multimodal brain tumor image segmentation benchmark (BRATS)
BH Menze, A Jakab, S Bauer, J Kalpathy-Cramer, K Farahani, J Kirby, ...
IEEE Transactions on Medical Imaging 34 (10), 1993-2024, 2015
20082015
Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge
S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ...
arXiv preprint arXiv:1811.02629, 2018
3392018
A hybrid model for multimodal brain tumor segmentation
R Meier, S Bauer, J Slotboom, R Wiest, M Reyes
Proceedings of NCI-MICCAI BRATS 2013 1, 31-37, 2013
792013
Fully automatic GBM segmentation in the TCGA-GBM dataset: Prognosis and correlation with VASARI features
ER Velazquez, R Meier, WD Dunn Jr, B Alexander, R Wiest, S Bauer, ...
Scientific reports 5, 16822, 2015
642015
Appearance-and Context-sensitive Features for Brain Tumor Segmentation
R Meier, S Bauer, J Slotboom, R Wiest, M Reyes
MICCAI BRATS Challenge 2014, 2014
572014
Clinical Evaluation of a Fully-automatic Segmentation Method for Longitudinal Brain Tumor Volumetry
R Meier, U Knecht, T Loosli, S Bauer, J Slotboom, R Wiest, M Reyes
Scientific Reports 6, 2016
562016
Ensembles of densely-connected CNNs with label-uncertainty for brain tumor segmentation
R McKinley, R Meier, R Wiest
International MICCAI Brainlesion Workshop, 456-465, 2018
502018
Enhancing interpretability of automatically extracted machine learning features: application to a RBM-Random Forest system on brain lesion segmentation
S Pereira, R Meier, R McKinley, R Wiest, V Alves, CA Silva, M Reyes
Medical image analysis 44, 228-244, 2018
392018
Patient-specific semi-supervised learning for postoperative brain tumor segmentation
R Meier, S Bauer, J Slotboom, R Wiest, M Reyes
International Conference on Medical Image Computing and Computer-Assisted …, 2014
352014
Towards Uncertainty-Assisted Brain Tumor Segmentation and Survival Prediction
A Jungo, R McKinley, R Meier, U Knecht, L Vera, J Pérez-Beteta, ...
International MICCAI Brainlesion Workshop, 474-485, 2017
232017
Automatic estimation of extent of resection and residual tumor volume of patients with glioblastoma
R Meier, N Porz, U Knecht, T Loosli, P Schucht, J Beck, J Slotboom, ...
Journal of neurosurgery 127 (4), 798-806, 2017
212017
On the Effect of Inter-observer Variability for a Reliable Estimation of Uncertainty of Medical Image Segmentation
A Jungo, R Meier, E Ermis, M Blatti-Moreno, E Herrmann, R Wiest, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2018
192018
Fully Automated Enhanced Tumor Compartmentalization: Man vs. Machine Reloaded
N Porz, S Habegger, R Meier, R Verma, A Jilch, J Fichtner, U Knecht, ...
PloS one 11 (11), e0165302, 2016
152016
On the Interpretability of Artificial Intelligence in Radiology: Challenges and Opportunities
M Reyes, R Meier, S Pereira, CA Silva, FM Dahlweid, H Tengg-Kobligk, ...
Radiology: Artificial Intelligence 2 (3), e190043, 2020
142020
Automatic brain tumor grading from MRI data using convolutional neural networks and quality assessment
S Pereira, R Meier, V Alves, M Reyes, CA Silva
Understanding and Interpreting Machine Learning in Medical Image Computing …, 2018
142018
Uncertainty-driven Sanity Check: Application to Postoperative Brain Tumor Cavity Segmentation
A Jungo, R Meier, E Ermis, E Herrmann, M Reyes
arXiv preprint arXiv:1806.03106, 2018
142018
Parameter Learning for CRF-based Tissue Segmentation of Brain Tumors
R Meier, V Karamitsou, S Habegger, R Wiest, M Reyes
MICCAI BRATS Challenge 2015, 2015
142015
CRF-based brain tumor segmentation: alleviating the shrinking bias
R Meier, U Knecht, R Wiest, M Reyes
International Workshop on Brainlesion: Glioma, Multiple Sclerosis, Stroke …, 2016
132016
Multivessel Occlusion in Patients Subjected to Thrombectomy: Prevalence, Associated Factors, and Clinical Implications
J Kaesmacher, PJ Mosimann, M Giarrusso, M El-Koussy, F Zibold, ...
Stroke 49 (6), 1355-1362, 2018
122018
Enhancing clinical MRI Perfusion maps with data-driven maps of complementary nature for lesion outcome prediction
A Pinto, S Pereira, R Meier, V Alves, R Wiest, CA Silva, M Reyes
International Conference on Medical Image Computing and Computer-Assisted …, 2018
112018
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