| 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 | 6516 | 2015 |
| 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 | 2292 | 2018 |
| 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 | 454 | 2020 |
| 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 | 241 | 2022 |
| 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 | 216 | 2018 |
| 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 | 167 | 2018 |
| 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 | 130 | 2016 |
| 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 | 118 | 2018 |
| 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 | 112 | 2013 |
| 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 | 104 | 2015 |
| 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 | 103 | 2018 |
| Appearance-and Context-sensitive Features for Brain Tumor Segmentation R Meier, S Bauer, J Slotboom, R Wiest, M Reyes MICCAI BRATS Challenge 2014, 2014 | 92 | 2014 |
| 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 | 89 | 2019 |
| 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 | 76 | 2020 |
| 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 | 76 | 2018 |
| 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 | 73 | 2017 |
| 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 | 62 | 2014 |
| 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 | 60 | 2018 |
| QU-BraTS: MICCAI BraTS 2020 Challenge on QuantifyingUncertainty in Brain Tumor Segmentation-Analysis of Ranking Scores and Benchmarking Results R Mehta, A Filos, U Baid, C Sako, R McKinley, M Rebsamen, K Dätwyler, ... Journal of Machine Learning for Biomedical Imaging 1, 2022 | 53 | 2022 |
| 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 | 49 | 2017 |
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