Bjoern H Menze
TitleCited byYear
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
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
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
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
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
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
On oblique random forests
BH Menze, BM Kelm, D Splitthoff, U Koethe, F Hamprecht
European Conference on Machine Learning (ECML PKDD), 453-469, 2011
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
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
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
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
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
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
Segmentation of image ensembles via latent atlases
T Riklin-Raviv, K Van Leemput, BH Menze, WM Wells III, P Golland
Medical Image Analysis 14 (5), 654-665, 2010
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
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
VISCERAL: towards large data in medical imaging—challenges and directions
G Langs, A Hanbury, B Menze, H Müller
MICCAI international workshop on medical content-based retrieval for …, 2012
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
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
Medical Computer Vision - Recognition techniques and applications in medical imaging
BH Menze, G Langs, Z Tu, A Criminisi
Lecture Notes in Computer Science, 226, 2011
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