Daniel Rueckert

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

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Daniel Rueckert

Otros nombresDaniel Rückert

Technical University of Munich and Imperial College London

Dirección de correo verificada de tum.de - Página principal

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


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	6991	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	6470	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	6047	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	4248	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	3309	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	2572	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	1889	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	1619	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	1209	2019
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	1140	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	1121	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	1111	2009
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	733	2017
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	641	2020
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	619	2007
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	601	2018
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	586	2020
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	574	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	553	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	553	2002

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