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Ben Glocker
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The multimodal brain tumor image segmentation benchmark (BRATS)
BH Menze, A Jakab, S Bauer, J Kalpathy-Cramer, K Farahani, J Kirby, ...
IEEE transactions on medical imaging 34 (10), 1993-2024, 2014
32882014
Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation
K Kamnitsas, C Ledig, VFJ Newcombe, JP Simpson, AD Kane, DK Menon, ...
Medical Image Analysis 36, 61-78, 2017
24652017
Attention u-net: Learning where to look for the pancreas
O Oktay, J Schlemper, LL Folgoc, M Lee, M Heinrich, K Misawa, K Mori, ...
arXiv preprint arXiv:1804.03999, 2018
16332018
Traumatic brain injury: integrated approaches to improve prevention, clinical care, and research
AIR Maas, DK Menon, PD Adelson, N Andelic, MJ Bell, A Belli, P Bragge, ...
The Lancet Neurology 16 (12), 987-1048, 2017
11202017
Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge
S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ...
arXiv preprint arXiv:1811.02629, 2018
8592018
ElasticFusion: Dense SLAM without a pose graph
T Whelan, S Leutenegger, R Salas-Moreno, B Glocker, A Davison
Robotics: Science and Systems, 2015
6752015
Scene coordinate regression forests for camera relocalization in RGB-D images
J Shotton, B Glocker, C Zach, S Izadi, A Criminisi, A Fitzgibbon
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013
6382013
Anatomically constrained neural networks (ACNNs): application to cardiac image enhancement and segmentation
O Oktay, E Ferrante, K Kamnitsas, M Heinrich, W Bai, J Caballero, ...
IEEE transactions on medical imaging 37 (2), 384-395, 2017
5472017
ElasticFusion: Real-time dense SLAM and light source estimation
T Whelan, RF Salas-Moreno, B Glocker, AJ Davison, S Leutenegger
The International Journal of Robotics Research 35 (14), 1697-1716, 2016
5362016
Attention gated networks: Learning to leverage salient regions in medical images
J Schlemper, O Oktay, M Schaap, M Heinrich, B Kainz, B Glocker, ...
Medical image analysis 53, 197-207, 2019
5322019
Dense image registration through MRFs and efficient linear programming
B Glocker, N Komodakis, G Tziritas, N Navab, N Paragios
Medical image analysis 12 (6), 731-741, 2008
5312008
Evaluation of registration methods on thoracic CT: the EMPIRE10 challenge
K Murphy, B Van Ginneken, JM Reinhardt, S Kabus, K Ding, X Deng, ...
IEEE transactions on medical imaging 30 (11), 1901-1920, 2011
4532011
Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation
K Kamnitsas, W Bai, E Ferrante, S McDonagh, M Sinclair, N Pawlowski, ...
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2018
3892018
Automated cardiovascular magnetic resonance image analysis with fully convolutional networks
W Bai, M Sinclair, G Tarroni, O Oktay, M Rajchl, G Vaillant, AM Lee, ...
Journal of Cardiovascular Magnetic Resonance 20 (1), 1-12, 2018
3822018
Unsupervised domain adaptation in brain lesion segmentation with adversarial networks
K Kamnitsas, C Baumgartner, C Ledig, V Newcombe, J Simpson, A Kane, ...
International conference on information processing in medical imaging, 597-609, 2017
3772017
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
3662017
Decision forests for tissue-specific segmentation of high-grade gliomas in multi-channel MR
D Zikic, B Glocker, E Konukoglu, A Criminisi, C Demiralp, J Shotton, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2012
2982012
Domain generalization via model-agnostic learning of semantic features
Q Dou, D Coelho de Castro, K Kamnitsas, B Glocker
Advances in Neural Information Processing Systems 32, 2019
2722019
DeepMedic for brain tumor segmentation
K Kamnitsas, E Ferrante, S Parisot, C Ledig, AV Nori, A Criminisi, ...
International workshop on Brainlesion: Glioma, multiple sclerosis, stroke …, 2016
2672016
Disease prediction using graph convolutional networks: application to autism spectrum disorder and Alzheimer’s disease
S Parisot, SI Ktena, E Ferrante, M Lee, R Guerrero, B Glocker, D Rueckert
Medical image analysis 48, 117-130, 2018
2592018
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