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
Andrew P KingKing's College LondonVerified email at kcl.ac.uk
Alejandro F FrangiBicentennial Turing Chair | RAEng Chair at the University of Manchester; KU Leuven; Alan TuringVerified email at manchester.ac.uk
Alberto GomezAI and Hardware Lead, Ultromics Ltd; and Visiting Lecturer, King's College LondonVerified email at ultromics.com
Ilkay OksuzIstanbul Technical University, King's College LondonVerified email at itu.edu.tr
Esther Puyol-AntónSenior Research Scientist, HeartFlowVerified 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
Fergus GleesonProfessor of Radiology, University of OxfordVerified email at oncology.ox.ac.uk
Christine TannerSenior Scientist, University of Basel, Biomaterials Science CenterVerified email at unibas.ch
Jo HajnalProfessor of Imaging Science, Kings College LondonVerified email at kcl.ac.uk
James R. CloughCTO, Robin AIVerified email at robinai.co.uk
Nicolas ToussaintMedtronic Digital TechnologiesVerified email at medtronic.com
Maria Kuklisova Murgasova DeprezKing's College LondonVerified email at kcl.ac.uk
Jacqueline MatthewResearch Fellow, King’s College LondonVerified email at kcl.ac.uk
Claudia PrietoProfessor, King's College London - Pontificia Universidad Católica de ChileVerified email at kcl.ac.uk
Laurent RisserIRHC-HDR @ CNRS - Toulouse Mathematics Institute - ANITIVerified email at math.univ-toulouse.fr
Shujie DengKing'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	722	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	571	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	562	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	541	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	522	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	439	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	375	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	328	2013
Breast image analysis for risk assessment, detection, diagnosis, and treatment of cancer ML Giger, N Karssemeijer, JA Schnabel Annual review of biomedical engineering 15 (1), 327-357, 2013	273	2013
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	260	2020
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	256	2009
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	228	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	209	2013
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	208	2020
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	190	2008
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	190	2000
Left-ventricle quantification using residual U-Net E Kerfoot, J Clough, I Oksuz, J Lee, AP King, JA Schnabel Statistical Atlases and Computational Models of the Heart. Atrial …, 2019	186	2019
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	179	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	164	2006
Registration-based interpolation GP Penney, JA Schnabel, D Rueckert, MA Viergever, WJ Niessen IEEE transactions on medical imaging 23 (7), 922-926, 2004	157	2004

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