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Raphael Meier
Raphael Meier
armasuisse S+T
Verified email at armasuisse.ch
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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
53272015
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
17412018
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
3492020
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
1962018
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
1432018
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
1212016
Federated learning enables big data for rare cancer boundary detection
S Pati, U Baid, B Edwards, M Sheller, SH Wang, GA Reina, P Foley, ...
Nature communications 13 (1), 1-17, 2022
1192022
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
1112013
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
1002018
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
972015
Appearance-and Context-sensitive Features for Brain Tumor Segmentation
R Meier, S Bauer, J Slotboom, R Wiest, M Reyes
MICCAI BRATS Challenge 2014, 2014
872014
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
862018
Triplanar Ensemble of 3D-to-2D CNNs with Label-Uncertainty for Brain Tumor Segmentation
R McKinley, M Rebsamen, R Meier, R Wiest
International MICCAI Brainlesion Workshop, 379-387, 2019
752019
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
712017
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
632014
Fully automated brain resection cavity delineation for radiation target volume definition in glioblastoma patients using deep learning
E Ermiş, A Jungo, R Poel, M Blatti-Moreno, R Meier, U Knecht, ...
Radiation Oncology 15 (1), 1-10, 2020
572020
Understanding and Interpreting Machine Learning in Medical Image Computing Applications
D Stoyanov, Z Taylor, SM Kia, I Oguz, M Reyes, A Martel, L Maier-Hein, ...
First International Workshops, MLCN 2018, DLF 2018, and iMIMIC 2018, Held in …, 2018
562018
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
532018
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
442017
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
362018
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