Takip et
Bram Ruijsink MD, PhD
Bram Ruijsink MD, PhD
Cardiology Registrar and Clinical Research Fellow, King's College London & UMC Utrecht
kcl.ac.uk üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
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
972020
Free breathing whole-heart 3D CINE MRI with self-gated Cartesian trajectory
M Usman, B Ruijsink, MS Nazir, G Cruz, C Prieto
Magnetic resonance imaging 38, 129-137, 2017
522017
Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning
I Oksuz, B Ruijsink, E Puyol-Antón, JR Clough, G Cruz, A Bustin, C Prieto, ...
Medical image analysis 55, 136-147, 2019
492019
A framework for combining a motion atlas with non-motion information to learn clinically useful biomarkers: application to cardiac resynchronisation therapy response prediction
D Peressutti, M Sinclair, W Bai, T Jackson, J Ruijsink, D Nordsletten, ...
Medical image analysis 35, 669-684, 2017
392017
Global and local interpretability for cardiac MRI classification
JR Clough, I Oksuz, E Puyol-Antón, B Ruijsink, AP King, JA Schnabel
International Conference on Medical Image Computing and Computer-Assisted …, 2019
282019
Pressure–volume loop-derived cardiac indices during dobutamine stress: a step towards understanding limitations in cardiac output in children with hypoplastic left heart syndrome
J Wong, K Pushparajah, A de Vecchi, B Ruijsink, GF Greil, T Hussain, ...
International journal of cardiology 230, 439-446, 2017
252017
Estimation of cardiovascular relative pressure using virtual work-energy
D Marlevi, B Ruijsink, M Balmus, D Dillon-Murphy, D Fovargue, ...
Scientific reports 9 (1), 1-16, 2019
242019
Deep learning-based detection and correction of cardiac MR motion artefacts during reconstruction for high-quality segmentation
I Oksuz, JR Clough, B Ruijsink, EP Anton, A Bustin, G Cruz, C Prieto, ...
IEEE Transactions on Medical Imaging 39 (12), 4001-4010, 2020
212020
Fully automated myocardial strain estimation from cine MRI using convolutional neural networks
E Puyol-Antón, B Ruijsink, W Bai, H Langet, M De Craene, JA Schnabel, ...
2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018
212018
Improved passive catheter tracking with positive contrast for CMR-guided cardiac catheterization using partial saturation (pSAT)
MN Velasco Forte, K Pushparajah, T Schaeffter, I Valverde Perez, ...
Journal of Cardiovascular Magnetic Resonance 19 (1), 1-9, 2017
202017
Regional multi-view learning for cardiac motion analysis: application to identification of dilated cardiomyopathy patients
E Puyol-Antón, B Ruijsink, B Gerber, MS Amzulescu, H Langet, ...
IEEE Transactions on Biomedical Engineering 66 (4), 956-966, 2018
192018
Deep learning using K-space based data augmentation for automated cardiac MR motion artefact detection
I Oksuz, B Ruijsink, E Puyol-Antón, A Bustin, G Cruz, C Prieto, D Rueckert, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2018
172018
Impact of Norwood versus hybrid palliation on cardiac size and function in hypoplastic left heart syndrome
HB Grotenhuis, B Ruijsink, D Chetan, A Dragulescu, MK Friedberg, ...
Heart 102 (12), 966-974, 2016
172016
Interpretable deep models for cardiac resynchronisation therapy response prediction
E Puyol-Antón, C Chen, JR Clough, B Ruijsink, BS Sidhu, J Gould, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2020
132020
Modeling left atrial flow, energy, blood heating distribution in response to catheter ablation therapy
D Dillon-Murphy, D Marlevi, B Ruijsink, A Qureshi, H Chubb, E Kerfoot, ...
Frontiers in Physiology 9, 1757, 2018
132018
Precision, reproducibility and applicability of an undersampled multi-venc 4D flow MRI sequence for the assessment of cardiac hemodynamics
R Moersdorf, M Treutlein, JR Kroeger, B Ruijsink, J Wong, D Maintz, ...
Magnetic resonance imaging 61, 73-82, 2019
122019
Dobutamine stress testing in patients with Fontan circulation augmented by biomechanical modeling
B Ruijsink, K Zugaj, J Wong, K Pushparajah, T Hussain, P Moireau, ...
PloS one 15 (2), e0229015, 2020
112020
Detection and correction of cardiac MRI motion artefacts during reconstruction from K-space
I Oksuz, J Clough, B Ruijsink, E Puyol-Antón, A Bustin, G Cruz, C Prieto, ...
International conference on medical image computing and computer-assisted …, 2019
112019
Automated quantification of myocardial tissue characteristics from native T1 mapping using neural networks with uncertainty-based quality-control
E Puyol-Antón, B Ruijsink, CF Baumgartner, PG Masci, M Sinclair, ...
Journal of Cardiovascular Magnetic Resonance 22 (1), 1-15, 2020
92020
Automatic left ventricular outflow tract classification for accurate cardiac MR planning
I Oksuz, B Ruijsink, E Puyol-Antón, M Sinclair, D Rueckert, JA Schnabel, ...
2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018
92018
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