متابعة
Julia A Schnabel
Julia A Schnabel
أسماء أخرىJulia Schnabel, Julia Anne Schnabel, JA Schnabel
Technical University of Munich, Helmholtz Munich and King's College London
بريد إلكتروني تم التحقق منه على tum.de - الصفحة الرئيسية
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
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
7642012
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
5762003
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
5642002
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
5462001
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
5262011
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
4602012
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
3762003
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
3442013
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
2972020
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
2772013
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
2582009
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
2322001
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
2262020
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
2172019
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
2172013
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
1942008
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
1922000
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
1912020
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
1672018
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
1652006
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مقالات 1–20