Julia A Schnabel

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Daniel RueckertTechnical University of Munich and Imperial College LondonEmail confirmado em tum.de
D J HawkesProfessor of Computational Imaging, UCLEmail confirmado em ucl.ac.uk
Mattias P. HeinrichUniversity of LuebeckEmail confirmado em imi.uni-luebeck.de
Derek HillCEO, Panoramic Digital HealthEmail confirmado em ucl.ac.uk
Andrew P KingKing's College LondonEmail confirmado em kcl.ac.uk
Mark JenkinsonProfessor of NeuroimagingEmail confirmado em adelaide.edu.au
Veronika A ZimmerDigital Technology & Innovation, Siemens Healthineers; Technical University MunichEmail confirmado em tum.de
Alberto GomezAI and Hardware Lead, Ultromics Ltd; and Visiting Lecturer, King's College LondonEmail confirmado em ultromics.com
Ilkay OksuzIstanbul Technical University, King's College LondonEmail confirmado em itu.edu.tr
Alejandro F FrangiBicentennial Turing Chair | RAEng Chair at the University of Manchester; KU Leuven; Alan TuringEmail confirmado em manchester.ac.uk
Esther Puyol-AntónSenior Research Scientist, HeartFlowEmail confirmado em kcl.ac.uk
Bram Ruijsink MD, PhDCardiology Registrar and Clinical Research Fellow, King's College London & UMC UtrechtEmail confirmado em kcl.ac.uk
Fergus GleesonProfessor of Radiology, University of OxfordEmail confirmado em oncology.ox.ac.uk
James R. CloughCTO, Robin AIEmail confirmado em robinai.co.uk
Nicolas ToussaintMedtronic Digital TechnologiesEmail confirmado em medtronic.com
Jo HajnalProfessor of Imaging Science, Kings College LondonEmail confirmado em kcl.ac.uk
Christine TannerSenior Scientist, University of Basel, Biomaterials Science CenterEmail confirmado em unibas.ch
Claudia PrietoProfessor Pontificia Universidad Católica de ChileEmail confirmado em uc.cl
Shujie DengKing's College LondonEmail confirmado em kcl.ac.uk
Maria Kuklisova Murgasova DeprezKing's College LondonEmail confirmado em kcl.ac.uk

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Julia A Schnabel

Outros nomesJulia Schnabel, Julia Anne Schnabel, JA Schnabel

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

Email confirmado em tum.de - Página inicial

medical imaging machine learning computational imaging medical image computing


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
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	773	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	577	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	546	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	528	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	461	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	376	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	344	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	296	2020
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	270	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	259	2009
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	234	2020
Medical image computing and computer assisted intervention–MICCAI 2018 U Schmidt, M Weigert, C Broaddus, G Myers, AF Frangi, JA Schnabel, ... 21st International Conference, Granada, Spain, 265-273, 2018	233	2018
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	233	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	223	2013
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	222	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	196	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	195	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	193	2000
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	166	2006

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