Bram Ruijsink MD, PhD
Bram Ruijsink MD, PhD
Cardiology Registrar and Clinical Research Fellow, King's College London & UMC Utrecht
Geverifieerd e-mailadres voor kcl.ac.uk - Homepage
Geciteerd door
Geciteerd door
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
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
Fairness in cardiac MR image analysis: an investigation of bias due to data imbalance in deep learning based segmentation
E Puyol-Antón, B Ruijsink, SK Piechnik, S Neubauer, SE Petersen, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021
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
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
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
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
Fairness in cardiac magnetic resonance imaging: assessing sex and racial bias in deep learning-based segmentation
E Puyol-Antón, B Ruijsink, J Mariscal Harana, SK Piechnik, S Neubauer, ...
Frontiers in cardiovascular medicine 9, 859310, 2022
Estimation of cardiovascular relative pressure using virtual work-energy
D Marlevi, B Ruijsink, M Balmus, D Dillon-Murphy, D Fovargue, ...
Scientific reports 9 (1), 1375, 2019
Interpretable deep models for cardiac resynchronisation therapy response prediction
E Puyol-Antón, C Chen, JR Clough, B Ruijsink, BS Sidhu, J Gould, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020
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, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
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
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
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
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), 60, 2020
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, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018
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, 1-9, 2017
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
Estimating central blood pressure from aortic flow: development and assessment of algorithms
J Mariscal-Harana, PH Charlton, S Vennin, J Aramburu, MC Florkow, ...
American Journal of Physiology-Heart and Circulatory Physiology, 2021
Prevalence and disease expression of pathogenic and likely pathogenic variants associated with inherited cardiomyopathies in the general population
M Bourfiss, M van Vugt, AI Alasiri, B Ruijsink, J van Setten, AF Schmidt, ...
Circulation: Genomic and Precision Medicine 15 (6), e003704, 2022
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