Daniel Rueckert

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Soavtorji

Jo HajnalProfessor of Imaging Science, Kings College LondonPreverjeni e-poštni naslov na kcl.ac.uk
Ben GlockerImperial College LondonPreverjeni e-poštni naslov na imperial.ac.uk
Wenjia Bai (柏文佳)Senior Lecturer (Associate Professor), Imperial College LondonPreverjeni e-poštni naslov na imperial.ac.uk
Bernhard KainzImperial College London, FAU Erlangen-NürnbergPreverjeni e-poštni naslov na imperial.ac.uk
Paul AljabarPerspectum LtdPreverjeni e-poštni naslov na imperial.ac.uk
A David EdwardsProfessor of Paediatrics and Neonatal Medicine, King's College LondonPreverjeni e-poštni naslov na kcl.ac.uk
Wenzhe Shi（施闻哲）ML@Elefant AIPreverjeni e-poštni naslov na elefant.gg
Derek HillCEO, Panoramic Digital HealthPreverjeni e-poštni naslov na ucl.ac.uk
Ozan Oktaylmperial College LondonPreverjeni e-poštni naslov na ic.ac.uk
Robin WolzResearch Fellow, Imperial College London. Chief Scientific Officer, IXICO.Preverjeni e-poštni naslov na imperial.ac.uk
Alexander HammersSchool of Biomedical Engineering and Imaging Sciences, King's College LondonPreverjeni e-poštni naslov na kcl.ac.uk
Christian LedigFull Professor, University of BambergPreverjeni e-poštni naslov na uni-bamberg.de
Julia A SchnabelTechnical University of Munich, Helmholtz Munich and King's College LondonPreverjeni e-poštni naslov na tum.de
Jo SchlemperHyperfinePreverjeni e-poštni naslov na hyperfine.io
D J HawkesProfessor of Computational Imaging, UCLPreverjeni e-poštni naslov na ucl.ac.uk
Rolf A. HeckemannDepartment of Medical Radiation Sciences, Institute of Clinical Sciences, Sahlgrenska AcademyPreverjeni e-poštni naslov na gu.se
Declan O'ReganBHF Chair of Cardiovascular AI, MRC Laboratory of Medical Sciences, Imperial College LondonPreverjeni e-poštni naslov na imperial.ac.uk
Kensaku MoriProfessor, Nagoya UniversityPreverjeni e-poštni naslov na is.nagoya-u.ac.jp
Konstantinos KamnitsasAssociate Professor of Biomedical Imaging @ University of OxfordPreverjeni e-poštni naslov na eng.ox.ac.uk
Professor James P BoardmanUniversity of EdinburghPreverjeni e-poštni naslov na ed.ac.uk

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Daniel Rueckert

Druga imenaDaniel Rückert

Technical University of Munich and Imperial College London

Preverjeni e-poštni naslov na tum.de - Domača stran

Machine Learning Medical Image Computing Biomedical Image Analysis Computer Vision


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
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	7889	2016
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	7532	2006
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	7459	2018
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	6743	1999
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	3892	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	2733	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	2566	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	2299	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	1746	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	1424	2017
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	1157	2009
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	1127	2006
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	1072	2020
A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises SK Zhou, H Greenspan, C Davatzikos, JS Duncan, B Van Ginneken, ... Proceedings of the IEEE 109 (5), 820-838, 2021	924	2021
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	850	2020
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	842	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), 65, 2018	749	2018
Convolutional recurrent neural networks for dynamic MR image reconstruction C Qin, J Schlemper, J Caballero, AN Price, JV Hajnal, D Rueckert IEEE transactions on medical imaging 38 (1), 280-290, 2018	697	2018
Disease prediction using graph convolutional networks: application to autism spectrum disorder and Alzheimer’s disease S Parisot, SI Ktena, E Ferrante, M Lee, R Guerrero, B Glocker, D Rueckert Medical image analysis 48, 117-130, 2018	653	2018
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	653	2007

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