| 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 | 3589 | 2015 |
| 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 | 1017 | 2018 |
| 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 | 773 | 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 | 582 | 2016 |
| 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 | 418 | 2019 |
| 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 | 410 | 2019 |
| 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 | 379 | 2017 |
| 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 | 309 | 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 | 272 | 2011 |
| On oblique random forests BH Menze, BM Kelm, D Splitthoff, U Koethe, F Hamprecht European Conference on Machine Learning (ECML PKDD), 453-469, 2011 | 268 | 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 | 268 | 2010 |
| Panoptic imaging of transparent mice reveals whole-body neuronal projections and skull–meninges connections R Cai, C Pan, A Ghasemigharagoz, MI Todorov, B Förstera, S Zhao, ... Nature neuroscience 22 (2), 317-327, 2019 | 232 | 2019 |
| 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 | 219 | 2008 |
| Image guided personalization of reaction-diffusion type tumor growth models using modified anisotropic eikonal equations E Konukoglu, O Clatz, BH Menze, B Stieltjes, MA Weber, E Mandonnet, ... IEEE transactions on medical imaging 29 (1), 77-95, 2009 | 207 | 2009 |
| Local structure prediction with convolutional neural networks for multimodal brain tumor segmentation P Dvořák, B Menze International MICCAI workshop on medical computer vision, 59-71, 2015 | 180 | 2015 |
| Why rankings of biomedical image analysis competitions should be interpreted with care L Maier-Hein, M Eisenmann, A Reinke, S Onogur, M Stankovic, P Scholz, ... Nature communications 9 (1), 1-13, 2018 | 177 | 2018 |
| 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 | 167 | 2012 |
| Fully convolutional network ensembles for white matter hyperintensities segmentation in MR images H Li, G Jiang, J Zhang, R Wang, Z Wang, WS Zheng, B Menze NeuroImage 183, 650-665, 2018 | 159 | 2018 |
| 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 | 155 | 2016 |
| Knowledge-aided convolutional neural network for small organ segmentation Y Zhao, H Li, S Wan, A Sekuboyina, X Hu, G Tetteh, M Piraud, B Menze IEEE journal of biomedical and health informatics 23 (4), 1363-1373, 2019 | 149 | 2019 |
Fred A. HamprechtProfessor, Heidelberg UniversityПотвърден имейл адрес: iwr.uni-heidelberg.de
