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Julia A Schnabel
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
Title
Cited by
Cited by
Year
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
6532012
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
5742003
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
5532002
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
5322001
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
4962011
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
3942012
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
3672003
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
2862013
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
2562009
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
2442013
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
2212001
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
1972013
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
1862000
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
1792008
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
1772020
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
1602006
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
1562020
Registration-based interpolation
GP Penney, JA Schnabel, D Rueckert, MA Viergever, WJ Niessen
IEEE transactions on medical imaging 23 (7), 922-926, 2004
1552004
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
1512020
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
1282019
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