Daniel Rueckert

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Jo HajnalProfessor of Imaging Science, Kings College LondonVerified email at kcl.ac.uk
Paul AljabarPerspectum DiagnosticsVerified email at imperial.ac.uk
Wenjia Bai (柏文佳)Senior Lecturer (Associate Professor), Imperial College LondonVerified email at imperial.ac.uk
Ben GlockerImperial College LondonVerified email at imperial.ac.uk
Bernhard KainzFAU Erlangen-Nürnberg, Imperial College LondonVerified email at imperial.ac.uk
A David EdwardsProfessor of Paediatrics and Neonatal Medicine, King's College LondonVerified email at kcl.ac.uk
Derek HillCEO, Panoramic Digital HealthVerified email at ucl.ac.uk
Wenzhe Shi（施闻哲）ML@SharechatVerified email at sharechat.co
Robin WolzResearch Fellow, Imperial College London. Chief Scientific Officer, IXICO.Verified email at imperial.ac.uk
Alexander HammersSchool of Biomedical Engineering and Imaging Sciences, King's College LondonVerified email at kcl.ac.uk
Ozan OktayMicrosoft Research CambridgeVerified email at microsoft.com
Christian LedigProfessor of Explainable Machine Learning, University of BambergVerified email at uni-bamberg.de
D J HawkesProfessor of Computational Imaging, UCLVerified email at ucl.ac.uk
Rolf A. HeckemannDepartment of Medical Radiation Sciences, Institute of Clinical Sciences, Sahlgrenska AcademyVerified email at gu.se
Declan O'ReganProfessor of Imaging Sciences, MRC London Institute of Medical Sciences, Imperial College LondonVerified email at imperial.ac.uk
Jo SchlemperHyperfineVerified email at hyperfine.io
Julia A SchnabelTechnical University of Munich, Helmholtz Munich and King's College LondonVerified email at tum.de
Konstantinos KamnitsasAssociate Professor of Biomedical Imaging @ University of OxfordVerified email at eng.ox.ac.uk
Professor James P BoardmanUniversity of EdinburghVerified email at ed.ac.uk
Kensaku MoriProfessor, Nagoya UniversityVerified email at is.nagoya-u.ac.jp

Daniel Rueckert

Other namesDaniel Rückert

Technical University of Munich and Imperial College London

Verified email at tum.de - Homepage

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


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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	6904	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	6409	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	5785	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	3862	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	3208	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	2542	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	1806	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	1532	2018
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	1124	2019
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	1113	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	1101	2009
A deep cascade of convolutional neural networks for dynamic MR image reconstruction J Schlemper, J Caballero, JV Hajnal, AN Price, D Rueckert IEEE transactions on Medical Imaging 37 (2), 491-503, 2017	1098	2017
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	711	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	617	2007
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	586	2020
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	582	2018
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
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	551	2010
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	549	2002
Deep learning for cardiac image segmentation: a review C Chen, C Qin, H Qiu, G Tarroni, J Duan, W Bai, D Rueckert Frontiers in Cardiovascular Medicine 7, 25, 2020	538	2020

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