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
19312015
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
4352009
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
3452016
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
3142018
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
2392017
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
2282011
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
2262010
On oblique random forests
BH Menze, BM Kelm, D Splitthoff, U Koethe, F Hamprecht
European Conference on Machine Learning (ECML PKDD), 453-469, 2011
2012011
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
1862009
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
1722008
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
1712017
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
1232012
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
1182010
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
1082016
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
1032019
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
992013
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
962019
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
942011
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
912006
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