| The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS) B Menze, A Jakab, S Bauer, J Kalpathy-Cramer, K Farahani, J Kirby, ... IEEE Transactions on Medical Imaging 34 (10), 1993 - 2024, 2015 | 1931 | 2015 |
| A comparison of random forest and its Gini importance with standard chemometric methods for the feature selection and classification of spectral data BH Menze, BM Kelm, R Masuch, U Himmelreich, P Bachert, W Petrich, ... BMC Bioinformatics 10 (1), 213, 2009 | 435 | 2009 |
| Automatic liver and lesion segmentation in CT using cascaded fully convolutional neural networks and 3D conditional random fields PF Christ, MEA Elshaer, F Ettlinger, S Tatavarty, M Bickel, P Bilic, ... International Conference on Medical Image Computing and Computer-Assisted …, 2016 | 345 | 2016 |
| Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge BM Spyridon Bakas, Mauricio Reyes, Andras Jakab, Stefan Bauer, Markus ... arXiv preprint arXiv:1811.02629, 2018 | 314 | 2018 |
| ISLES 2015-A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI O Maier, BH Menze, J von der Gablentz, L Häni, MP Heinrich, M Liebrand, ... Medical image analysis 35, 250-269, 2017 | 239 | 2017 |
| Spatial decision forests for MS lesion segmentation in multi-channel magnetic resonance images E Geremia, O Clatz, BH Menze, E Konukoglu, A Criminisi, N Ayache NeuroImage, 2011 | 228 | 2011 |
| A generative model for brain tumor segmentation in multi-modal images BH Menze, K Van Leemput, D Lashkari, MA Weber, N Ayache, P Golland Medical Image Computing and Computer-Assisted Intervention (MICCAI), 151-159, 2010 | 226 | 2010 |
| On oblique random forests BH Menze, BM Kelm, D Splitthoff, U Koethe, F Hamprecht European Conference on Machine Learning (ECML PKDD), 453-469, 2011 | 201 | 2011 |
| Image guided personalization of reaction-diffusion type tumor growth models using modified anisotropic eikonal equations E Konukoglu, O Clatz, BH Menze, B Stieltjes, MAÉ Weber, E Mandonnet, ... IEEE transactions on medical imaging 29 (1), 77-95, 2009 | 186 | 2009 |
| Robust prediction of the MASCOT score for an improved quality assessment in mass spectrometric proteomics T Koenig, BH Menze, M Kirchner, F Monigatti, KC Parker, T Patterson, ... Journal of Proteome Research 7 (9), 3708-3717, 2008 | 172 | 2008 |
| Automatic liver and tumor segmentation of CT and MRI volumes using cascaded fully convolutional neural networks PF Christ, F Ettlinger, F Grün, MEA Elshaera, J Lipkova, S Schlecht, ... arXiv preprint arXiv:1702.05970, 2017 | 171 | 2017 |
| Mapping patterns of long-term settlement in Northern Mesopotamia at a large scale BH Menze, JA Ur Proceedings of the National Academy of Sciences 109 (14), E778-E787, 2012 | 123 | 2012 |
| Spatial decision forests for MS lesion segmentation in multi-channel MR images E Geremia, BH Menze, O Clatz, E Konukoglu, A Criminisi, N Ayache Medical Image Computing and Computer-Assisted Intervention (MICCAI), 111-118, 2010 | 118 | 2010 |
| Structured prediction with convolutional neural networks for multimodal brain tumor segmentation P Dvorak, B Menze Proceeding of the multimodal brain tumor image segmentation challenge, 13-24, 2015 | 113* | 2015 |
| Cloud-based evaluation of anatomical structure segmentation and landmark detection algorithms: VISCERAL anatomy benchmarks O Jimenez-del-Toro, H Müller, M Krenn, K Gruenberg, AA Taha, ... IEEE transactions on medical imaging 35 (11), 2459-2475, 2016 | 108 | 2016 |
| The liver tumor segmentation benchmark (lits) P Bilic, PF Christ, E Vorontsov, G Chlebus, H Chen, Q Dou, CW Fu, X Han, ... arXiv preprint arXiv:1901.04056, 2019 | 103 | 2019 |
| Global localization of 3D anatomical structures by pre-filtered Hough Forests and discrete optimization R Donner, BH Menze, H Bischof, G Langs Medical image analysis 17 (8), 1304-1314, 2013 | 99 | 2013 |
| A large annotated medical image dataset for the development and evaluation of segmentation algorithms AL Simpson, M Antonelli, S Bakas, M Bilello, K Farahani, B Van Ginneken, ... arXiv preprint arXiv:1902.09063, 2019 | 96 | 2019 |
| Efficient probabilistic model personalization integrating uncertainty on data and parameters: application to eikonal-diffusion models in cardiac electrophysiology E Konukoglu, J Relan, U Cilingir, BH Menze, P Chinchapatnam, A Jadidi, ... Progress in Biophysics and Molecular Biology 107 (1), 134-46, 2011 | 94 | 2011 |
| Detection of ancient settlement mounds: archaeological survey based on the SRTM terrain model BH Menze, JA Ur, AG Sherratt Photogrammetric Engineering and Remote Sensing 72 (3), 321-327, 2006 | 91 | 2006 |
Nicholas AyacheResearch Director at INRIABestätigte E-Mail-Adresse bei inria.fr
