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Bram Ruijsink MD, PhD
Bram Ruijsink MD, PhD
Cardiology Registrar and Clinical Research Fellow, King's College London & UMC Utrecht
Verified email at kcl.ac.uk - Homepage
Title
Cited by
Cited by
Year
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
1852020
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
1202019
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
1002021
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
852017
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
842019
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
792020
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
692022
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
522017
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
492019
Medical image computing and computer assisted intervention–MICCAI 2021
E Puyol-Antón, B Ruijsink, SK Piechnik, S Neubauer, SE Petersen, ...
Springer International Publishing, Cham, 2021
412021
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
412020
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
412020
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
412019
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
402018
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
372018
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
342022
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
342018
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
322017
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
322017
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
302018
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Articles 1–20