Daniel Rueckert

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Jo HajnalProfessor of Imaging Science, Kings College LondonGeverifieerd e-mailadres voor kcl.ac.uk
Paul AljabarPerspectum DiagnosticsGeverifieerd e-mailadres voor imperial.ac.uk
Wenjia Bai (柏文佳)Senior Lecturer (Associate Professor), Imperial College LondonGeverifieerd e-mailadres voor imperial.ac.uk
Ben GlockerImperial College LondonGeverifieerd e-mailadres voor imperial.ac.uk
A David EdwardsProfessor of Paediatrics and Neonatal Medicine, King's College LondonGeverifieerd e-mailadres voor kcl.ac.uk
Bernhard KainzFAU Erlangen-Nürnberg, Imperial College LondonGeverifieerd e-mailadres voor imperial.ac.uk
Derek HillCEO, Panoramic Digital HealthGeverifieerd e-mailadres voor ucl.ac.uk
Wenzhe Shi（施闻哲）ML@SharechatGeverifieerd e-mailadres voor sharechat.co
Robin WolzResearch Fellow, Imperial College London. Chief Scientific Officer, IXICO.Geverifieerd e-mailadres voor imperial.ac.uk
Alexander HammersSchool of Biomedical Engineering and Imaging Sciences, King's College LondonGeverifieerd e-mailadres voor kcl.ac.uk
Christian LedigProfessor of Explainable Machine Learning, University of BambergGeverifieerd e-mailadres voor uni-bamberg.de
Ozan OktayMicrosoft Research CambridgeGeverifieerd e-mailadres voor microsoft.com
D J HawkesProfessor of Computational Imaging, UCLGeverifieerd e-mailadres voor ucl.ac.uk
Rolf A. HeckemannDepartment of Medical Radiation Sciences, Institute of Clinical Sciences, Sahlgrenska AcademyGeverifieerd e-mailadres voor gu.se
Declan O'ReganProfessor of Imaging Sciences, MRC London Institute of Medical Sciences, Imperial College LondonGeverifieerd e-mailadres voor imperial.ac.uk
Julia A SchnabelTechnical University of Munich, Helmholtz Munich and King's College LondonGeverifieerd e-mailadres voor tum.de
Konstantinos KamnitsasAssociate Professor of Biomedical Imaging @ University of OxfordGeverifieerd e-mailadres voor eng.ox.ac.uk
Jo SchlemperHyperfineGeverifieerd e-mailadres voor hyperfine.io
Professor James P BoardmanUniversity of EdinburghGeverifieerd e-mailadres voor ed.ac.uk
Kensaku MoriProfessor, Nagoya UniversityGeverifieerd e-mailadres voor is.nagoya-u.ac.jp

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Daniel Rueckert

Technical University of Munich and Imperial College London

Geverifieerd e-mailadres voor tum.de - Homepage

Medical Image Computing Medical Image Analysis Biomedical Image Analysis Medical Imaging AI in Medicine


Titel Sorteren op citaties Sorteren op jaar Sorteren op titel	Geciteerd door Geciteerd door	Jaar
Tract-based spatial statistics: voxelwise analysis of multi-subject diffusion data SM Smith, M Jenkinson, H Johansen-Berg, D Rueckert, TE Nichols, ... Neuroimage 31 (4), 1487-1505, 2006	6792	2006
Nonrigid registration using free-form deformations: application to breast MR images D Rueckert, LI Sonoda, C Hayes, DLG Hill, MO Leach, DJ Hawkes IEEE transactions on medical imaging 18 (8), 712-721, 1999	6360	1999
Real-time single image and video super-resolution using an efficient sub-pixel convolutional neural network W Shi, J Caballero, F Huszár, J Totz, AP Aitken, R Bishop, D Rueckert, ... Proceedings of the IEEE conference on computer vision and pattern …, 2016	5317	2016
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	3289	2018
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	3061	2017
Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration A Klein, J Andersson, BA Ardekani, J Ashburner, B Avants, MC Chiang, ... Neuroimage 46 (3), 786-802, 2009	2504	2009
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	1652	2017
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	1389	2018
A deep cascade of convolutional neural networks for MR image reconstruction J Schlemper, J Caballero, JV Hajnal, A Price, D Rueckert Information Processing in Medical Imaging: 25th International Conference …, 2017	1292	2017
Automatic anatomical brain MRI segmentation combining label propagation and decision fusion RA Heckemann, JV Hajnal, P Aljabar, D Rueckert, A Hammers NeuroImage 33 (1), 115-126, 2006	1106	2006
Multi-atlas based segmentation of brain images: atlas selection and its effect on accuracy P Aljabar, RA Heckemann, A Hammers, JV Hajnal, D Rueckert Neuroimage 46 (3), 726-738, 2009	1082	2009
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	970	2019
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	679	2017
Acquisition and voxelwise analysis of multi-subject diffusion data with tract-based spatial statistics SM Smith, H Johansen-Berg, M Jenkinson, D Rueckert, TE Nichols, ... Nature protocols 2 (3), 499-503, 2007	609	2007
Automatic construction of 3-D statistical deformation models of the brain using nonrigid registration D Rueckert, AF Frangi, JA Schnabel IEEE transactions on medical imaging 22 (8), 1014-1025, 2003	573	2003
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	541	2018
Automatic construction of multiple-object three-dimensional statistical shape models: Application to cardiac modeling AF Frangi, D Rueckert, JA Schnabel, WJ Niessen IEEE transactions on medical imaging 21 (9), 1151-1166, 2002	541	2002
Fast and robust multi-atlas segmentation of brain magnetic resonance images JMP Lötjönen, R Wolz, JR Koikkalainen, L Thurfjell, G Waldemar, ... Neuroimage 49 (3), 2352-2365, 2010	539	2010
A generic framework for non-rigid registration based on non-uniform multi-level free-form deformations JA Schnabel, D Rueckert, M Quist, JM Blackall, AD Castellano-Smith, ... Medical Image Computing and Computer-Assisted Intervention–MICCAI 2001: 4th …, 2001	517	2001
Secure, privacy-preserving and federated machine learning in medical imaging GA Kaissis, MR Makowski, D Rückert, RF Braren Nature Machine Intelligence 2 (6), 305-311, 2020	497	2020

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