Bernhard Kainz
Bernhard Kainz
Assoc. Professor (UK Senior Lecturer) at Imperial College London
Verified email at imperial.ac.uk - Homepage
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Cited by
Cited by
Year
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
2712018
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
2712017
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
2352018
Ensembles of multiple models and architectures for robust brain tumour segmentation
K Kamnitsas, W Bai, E Ferrante, S McDonagh, M Sinclair, N Pawlowski, ...
International MICCAI Brainlesion Workshop, 450-462, 2017
1782017
Magnetic resonance–derived 3-dimensional blood flow patterns in the main pulmonary artery as a marker of pulmonary hypertension and a measure of elevated mean pulmonary …
G Reiter, U Reiter, G Kovacs, B Kainz, K Schmidt, R Maier, H Olschewski, ...
Circulation: Cardiovascular Imaging 1 (1), 23-30, 2008
1762008
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), 65, 2018
1362018
Deepcut: Object segmentation from bounding box annotations using convolutional neural networks
M Rajchl, MCH Lee, O Oktay, K Kamnitsas, J Passerat-Palmbach, W Bai, ...
IEEE transactions on medical imaging 36 (2), 674-683, 2016
1282016
Fast volume reconstruction from motion corrupted stacks of 2D slices
B Kainz, M Steinberger, W Wein, M Kuklisova-Murgasova, ...
IEEE transactions on medical imaging 34 (9), 1901-1913, 2015
932015
SonoNet: real-time detection and localisation of fetal standard scan planes in freehand ultrasound
CF Baumgartner, K Kamnitsas, J Matthew, TP Fletcher, S Smith, LM Koch, ...
IEEE transactions on medical imaging 36 (11), 2204-2215, 2017
772017
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
722019
OmniKinect: real-time dense volumetric data acquisition and applications
B Kainz, S Hauswiesner, G Reitmayr, M Steinberger, R Grasset, L Gruber, ...
Proceedings of the 18th ACM symposium on Virtual reality software and …, 2012
712012
Automated fetal brain segmentation from 2D MRI slices for motion correction
K Keraudren, M Kuklisova-Murgasova, V Kyriakopoulou, C Malamateniou, ...
NeuroImage 101, 633-643, 2014
692014
ScatterAlloc: Massively parallel dynamic memory allocation for the GPU
M Steinberger, M Kenzel, B Kainz, D Schmalstieg
2012 Innovative Parallel Computing (InPar), 1-10, 2012
642012
Ray casting of multiple volumetric datasets with polyhedral boundaries on manycore GPUs
B Kainz, M Grabner, A Bornik, S Hauswiesner, J Muehl, D Schmalstieg
ACM Transactions on Graphics (TOG) 28 (5), 1-9, 2009
642009
Softshell: dynamic scheduling on GPUs
M Steinberger, B Kainz, B Kerbl, S Hauswiesner, M Kenzel, ...
ACM Transactions on Graphics (TOG) 31 (6), 1-11, 2012
492012
Dltk: State of the art reference implementations for deep learning on medical images
N Pawlowski, SI Ktena, MCH Lee, B Kainz, D Rueckert, B Glocker, ...
arXiv preprint arXiv:1711.06853, 2017
392017
Fast fully automatic segmentation of the human placenta from motion corrupted MRI
A Alansary, K Kamnitsas, A Davidson, R Khlebnikov, M Rajchl, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2016
372016
Automatic differentiation for GPU-accelerated 2D/3D registration
M Grabner, T Pock, T Gross, B Kainz
Advances in automatic differentiation, 259-269, 2008
352008
Attention-gated networks for improving ultrasound scan plane detection
J Schlemper, O Oktay, L Chen, J Matthew, C Knight, B Kainz, B Glocker, ...
arXiv preprint arXiv:1804.05338, 2018
342018
Real-time standard scan plane detection and localisation in fetal ultrasound using fully convolutional neural networks
CF Baumgartner, K Kamnitsas, J Matthew, S Smith, B Kainz, D Rueckert
International conference on medical image computing and computer-assisted …, 2016
322016
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