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Bjoern H Menze
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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
50362015
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
16232018
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
10802009
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
8052019
The liver tumor segmentation benchmark (lits)
P Bilic, P Christ, HB Li, E Vorontsov, A Ben-Cohen, G Kaissis, A Szeskin, ...
Medical Image Analysis 84, 102680, 2023
8022023
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, ...
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2016: 19th …, 2016
7422016
The medical segmentation decathlon
M Antonelli, A Reinke, S Bakas, K Farahani, A Kopp-Schneider, ...
Nature communications 13 (1), 4128, 2022
4862022
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
4712017
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
3982017
The rsna-asnr-miccai brats 2021 benchmark on brain tumor segmentation and radiogenomic classification
U Baid, S Ghodasara, S Mohan, M Bilello, E Calabrese, E Colak, ...
arXiv preprint arXiv:2107.02314, 2021
3622021
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
3572019
On oblique random forests
BH Menze, BM Kelm, D Splitthoff, U Koethe, F Hamprecht
European Conference on Machine Learning (ECML PKDD), 453-469, 2011
3062011
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
3022011
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
2942010
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), 5217, 2018
2692018
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
2412008
Multi-centre, multi-vendor and multi-disease cardiac segmentation: the M&Ms challenge
VM Campello, P Gkontra, C Izquierdo, C Martin-Isla, A Sojoudi, PM Full, ...
IEEE Transactions on Medical Imaging 40 (12), 3543-3554, 2021
2232021
Machine learning analysis of whole mouse brain vasculature
MI Todorov, JC Paetzold, O Schoppe, G Tetteh, S Shit, V Efremov, ...
Nature methods 17 (4), 442-449, 2020
2232020
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
2212018
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
2202009
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