Julia A Schnabel

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Daniel RueckertTechnical University of Munich and Imperial College LondonVerified email at tum.de
D J HawkesProfessor of Computational Imaging, UCLVerified email at ucl.ac.uk
Mattias P. HeinrichUniversity of LuebeckVerified email at imi.uni-luebeck.de
Derek HillCEO, Panoramic Digital HealthVerified email at ucl.ac.uk
Mark JenkinsonUniversity of Oxford, University of AdelaideVerified email at ndcn.ox.ac.uk
Andrew P KingReader in Medical Image Analysis, King's College LondonVerified email at kcl.ac.uk
Alberto GomezSenior Research Fellow, King's College London; AI and hardware lead, Ultromics LtdVerified email at kcl.ac.uk
Ilkay OksuzIstanbul Technical University, King's College LondonVerified email at itu.edu.tr
Alejandro F FrangiBicentennial Turing Chair and RAEng Chair at the University of Manchester; KU Leuven; Alan TuringVerified email at manchester.ac.uk
Esther Puyol-AntónSenior Research Scientist, HeartFlowVerified email at kcl.ac.uk
VERONIKA ANNE ZIMMERTU MünchenVerified email at tum.de
Christine TannerSenior Scientist, University of Basel, Biomaterials Science CenterVerified email at unibas.ch
Fergus GleesonProfessor of Radiology, University of OxfordVerified email at oncology.ox.ac.uk
Jo HajnalProfessor of Imaging Science, Kings College LondonVerified email at kcl.ac.uk
Bram Ruijsink MD, PhDCardiology Registrar and Clinical Research Fellow, King's College London & UMC UtrechtVerified email at kcl.ac.uk
James R. CloughCTO, Robin AIVerified email at robinai.co.uk
Toussaint NicolasKing's College LondonVerified email at kcl.ac.uk
Laurent RisserCNRS - Toulouse Mathematics Institute - Artificial and Natural Intelligence Toulouse InstituteVerified email at math.univ-toulouse.fr
Maria Kuklisova Murgasova DeprezKing's College LondonVerified email at kcl.ac.uk
Jacqueline MatthewResearch Fellow, King’s College LondonVerified email at kcl.ac.uk

Julia A Schnabel

Other namesJulia Schnabel, Julia Anne Schnabel, JA Schnabel

Technical University of Munich, Helmholtz Munich and King's College London

Verified email at tum.de - Homepage

medical imaging machine learning computational imaging medical image computing


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MIND: Modality independent neighbourhood descriptor for multi-modal deformable registration MP Heinrich, M Jenkinson, M Bhushan, T Matin, FV Gleeson, M Brady, ... Medical image analysis 16 (7), 1423-1435, 2012	643	2012
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
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
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	528	2001
Evaluation of registration methods on thoracic CT: the EMPIRE10 challenge K Murphy, B Van Ginneken, JM Reinhardt, S Kabus, K Ding, X Deng, ... IEEE transactions on medical imaging 30 (11), 1901-1920, 2011	492	2011
Reconstruction of fetal brain MRI with intensity matching and complete outlier removal M Kuklisova-Murgasova, G Quaghebeur, MA Rutherford, JV Hajnal, ... Medical image analysis 16 (8), 1550-1564, 2012	375	2012
Validation of nonrigid image registration using finite-element methods: application to breast MR images JA Schnabel, C Tanner, AD Castellano-Smith, A Degenhard, MO Leach, ... IEEE transactions on medical imaging 22 (2), 238-247, 2003	367	2003
MRF-based deformable registration and ventilation estimation of lung CT MP Heinrich, M Jenkinson, M Brady, JA Schnabel IEEE transactions on medical imaging 32 (7), 1239-1248, 2013	278	2013
An evaluation of four automatic methods of segmenting the subcortical structures in the brain KO Babalola, B Patenaude, P Aljabar, J Schnabel, D Kennedy, W Crum, ... Neuroimage 47 (4), 1435-1447, 2009	254	2009
Breast image analysis for risk assessment, detection, diagnosis, and treatment of cancer ML Giger, N Karssemeijer, JA Schnabel Annual review of biomedical engineering 15, 327-357, 2013	240	2013
Automatic construction of 3D statistical deformation models using non-rigid registration D Rueckert, AF Frangi, JA Schnabel Medical Image Computing and Computer-Assisted Intervention–MICCAI 2001: 4th …, 2001	221	2001
Towards realtime multimodal fusion for image-guided interventions using self-similarities MP Heinrich, M Jenkinson, BW Papież, SM Brady, JA Schnabel Medical Image Computing and Computer-Assisted Intervention–MICCAI 2013: 16th …, 2013	194	2013
Nonlinear smoothing for reduction of systematic and random errors in diffusion tensor imaging GJM Parker, JA Schnabel, MR Symms, DJ Werring, GJ Barker Journal of Magnetic Resonance Imaging: An Official Journal of the …, 2000	185	2000
Objective assessment of deformable image registration in radiotherapy: a multi‐institution study R Kashani, M Hub, JM Balter, ML Kessler, L Dong, L Zhang, L Xing, Y Xie, ... Medical physics 35 (12), 5944-5953, 2008	179	2008
A topological loss function for deep-learning based image segmentation using persistent homology JR Clough, N Byrne, I Oksuz, VA Zimmer, JA Schnabel, AP King IEEE transactions on pattern analysis and machine intelligence 44 (12), 8766 …, 2020	168	2020
Factors influencing the accuracy of biomechanical breast models C Tanner, JA Schnabel, DLG Hill, DJ Hawkes, MO Leach, DR Hose Medical physics 33 (6Part1), 1758-1769, 2006	158	2006
Registration-based interpolation GP Penney, JA Schnabel, D Rueckert, MA Viergever, WJ Niessen IEEE transactions on medical imaging 23 (7), 922-926, 2004	155	2004
Fully automated, quality-controlled cardiac analysis from CMR: validation and large-scale application to characterize cardiac function B Ruijsink, E Puyol-Antón, I Oksuz, M Sinclair, W Bai, JA Schnabel, ... Cardiovascular Imaging 13 (3), 684-695, 2020	150	2020
Deep learning for PET image reconstruction AJ Reader, G Corda, A Mehranian, C da Costa-Luis, S Ellis, JA Schnabel IEEE Transactions on Radiation and Plasma Medical Sciences 5 (1), 1-25, 2020	145	2020
Volume and shape preservation of enhancing lesions when applying non-rigid registration to a time series of contrast enhancing MR breast images C Tanner, JA Schnabel, D Chung, MJ Clarkson, D Rueckert, DLG Hill, ... Medical Image Computing and Computer-Assisted Intervention–MICCAI 2000 …, 2000	125	2000

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