Bernhard Kainz

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Daniel RueckertTechnical University of Munich and Imperial College LondonVerified email at tum.de
Ben GlockerImperial College LondonVerified email at imperial.ac.uk
Ozan OktayMicrosoft Research CambridgeVerified email at microsoft.com
Jo HajnalProfessor of Imaging Science, Kings College LondonVerified email at kcl.ac.uk
mary rutherfordKings College LondonVerified email at kcl.ac.uk
Dieter SchmalstiegProfessor for Computer Graphics and Virtual Reality, Graz University of TechnologyVerified email at tugraz.at
Steven McDonaghPostdoctoral researcher, Imperial College LondonVerified email at imperial.ac.uk
Konstantinos KamnitsasAssociate Professor of Biomedical Imaging @ University of OxfordVerified email at eng.ox.ac.uk
Amir AlansaryResearch Associate, Biomedical Image Analysis Group (BioMedIA), Department of Computing, ImperialVerified email at imperial.ac.uk
Matthew Chung Hai LeeImperial College LondonVerified email at imperial.ac.uk
Martin RajchlResearch Fellow, Dept. of Computing, Imperial College LondonVerified email at imperial.ac.uk
Markus SteinbergerAssociate Professor, Graz University of Technology, AustriaVerified email at icg.tugraz.at
Maria Kuklisova Murgasova DeprezKing's College LondonVerified email at kcl.ac.uk
Christina MalamateniouPostgraduate programme director (taught and research)Verified email at city.ac.uk
Kevin KeraudrenApplied Scientist at OnfidoVerified email at onfido.com
Stefan HauswiesnerResearch and Teaching Assistant, Graz University of TechnologyVerified email at icg.tugraz.at
Christian F. BaumgartnerUniversity of TübingenVerified email at uni-tuebingen.de
Philip VoglreiterPhD Student, Graz University of TechnologyVerified email at icg.tugraz.at
Michael KenzelGraz University of TechnologyVerified email at icg.tugraz.at
Denis KalkofenAssistant Professor Graz University of TechnologyVerified email at icg.tugraz.at

Bernhard Kainz

Professor of Image Data Exploration and Analysis, FAU Erlangen-Nürnberg, Imperial College London

Verified email at imperial.ac.uk - Homepage

human-in-the-loop computing machine learning medical image analysis


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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	1650	2018
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	862	2018
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	550	2017
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	535	2019
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	391	2017
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	382	2018
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	283	2016
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	221	2008
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	189	2017
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	144	2015
Intra‐and interobserver variability in fetal ultrasound measurements I Sarris, C Ioannou, P Chamberlain, E Ohuma, F Roseman, L Hoch, ... Ultrasound in obstetrics & gynecology 39 (3), 266-273, 2012	139	2012
Advances in automatic differentiation CH Bischof, HM Bücker, P Hovland, U Naumann, J Utke Springer Berlin Heidelberg, 2008	121	2008
Evaluating reinforcement learning agents for anatomical landmark detection A Alansary, O Oktay, Y Li, L Le Folgoc, B Hou, G Vaillant, K Kamnitsas, ... Medical image analysis 53, 156-164, 2019	100	2019
A survey on active learning and human-in-the-loop deep learning for medical image analysis S Budd, EC Robinson, B Kainz Medical Image Analysis 71, 102062, 2021	92	2021
Attention u-net: Learning where to look for the pancreas. arXiv 2018 O Oktay, J Schlemper, LL Folgoc, M Lee, M Heinrich, K Misawa, K Mori, ... arXiv preprint arXiv:1804.03999, 1804	90	1804
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	89	2014
Attention u-net: learning where to look for the pancreas (2018) O Oktay, J Schlemper, LL Folgoc, M Lee, M Heinrich, K Misawa, K Mori, ... arXiv preprint arXiv:1804.03999, 1804	81	1804
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	80	2012
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	78	2018
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	76	2012

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