Bram Ruijsink
Orcid: 0000-0001-8313-5709
According to our database1,
Bram Ruijsink
authored at least 38 papers
between 2017 and 2024.
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Bibliography
2024
A Deep Learning-Based Integrated Framework for Quality-Aware Undersampled Cine Cardiac MRI Reconstruction and Analysis.
IEEE Trans. Biomed. Eng., March, 2024
Label Dropout: Improved Deep Learning Echocardiography Segmentation Using Multiple Datasets With Domain Shift and Partial Labelling.
CoRR, 2024
2023
Uncertainty aware training to improve deep learning model calibration for classification of cardiac MR images.
Medical Image Anal., August, 2023
Uncertainty Aware Training to Improve Deep Learning Model Calibration for Classification of Cardiac MR Images.
CoRR, 2023
An Investigation into the Impact of Deep Learning Model Choice on Sex and Race Bias in Cardiac MR Segmentation.
Proceedings of the Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging, 2023
Proceedings of the AI and Big Data in Cardiology: A Practical Guide, 2023
Proceedings of the AI and Big Data in Cardiology: A Practical Guide, 2023
2022
Large-scale, multi-centre, multi-disease validation of an AI clinical tool for cine CMR analysis.
CoRR, 2022
AI-enabled Assessment of Cardiac Systolic and Diastolic Function from Echocardiography.
CoRR, 2022
Biomed. Signal Process. Control., 2022
Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 2022
Automated Quality Controlled Analysis of 2D Phase Contrast Cardiovascular Magnetic Resonance Imaging.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 2022
AI-Enabled Assessment of Cardiac Systolic and Diastolic Function from Echocardiography.
Proceedings of the Simplifying Medical Ultrasound - Third International Workshop, 2022
Deep Learning-Based Segmentation of Pleural Effusion from Ultrasound Using Coordinate Convolutions.
Proceedings of the Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health, 2022
2021
The Impact of Domain Shift on Left and Right Ventricle Segmentation in Short Axis Cardiac MR Images.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge, 2021
Quality-Aware Cine Cardiac MRI Reconstruction and Analysis from Undersampled K-Space Data.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge, 2021
Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge, 2021
Uncertainty-Aware Training for Cardiac Resynchronisation Therapy Response Prediction.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge, 2021
Fairness in Cardiac MR Image Analysis: An Investigation of Bias Due to Data Imbalance in Deep Learning Based Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
2020
Deep Learning-Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentation.
IEEE Trans. Medical Imaging, 2020
Automated quantification of myocardial tissue characteristics from native T1 mapping using neural networks with Bayesian inference for uncertainty-based quality-control.
CoRR, 2020
Proceedings of the Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
2019
Regional Multi-View Learning for Cardiac Motion Analysis: Application to Identification of Dilated Cardiomyopathy Patients.
IEEE Trans. Biomed. Eng., 2019
Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning.
Medical Image Anal., 2019
Detection and Correction of Cardiac MR Motion Artefacts during Reconstruction from K-space.
CoRR, 2019
High-quality segmentation of low quality cardiac MR images using k-space artefact correction.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019
Assessing the Impact of Blood Pressure on Cardiac Function Using Interpretable Biomarkers and Variational Autoencoders.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges, 2019
Detection and Correction of Cardiac MRI Motion Artefacts During Reconstruction from k-space.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Model-Based Indices of Early-Stage Cardiovascular Failure and Its Therapeutic Management in Fontan Patients.
Proceedings of the Functional Imaging and Modeling of the Heart, 2019
2018
Learning Associations Between Clinical Information and Motion-Based Descriptors Using a Large Scale MR-derived Cardiac Motion Atlas.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges, 2018
Deep Learning Using K-Space Based Data Augmentation for Automated Cardiac MR Motion Artefact Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Automated CNN-Based Reconstruction of Short-Axis Cardiac MR Sequence from Real-Time Image Data.
Proceedings of the Image Analysis for Moving Organ, Breast, and Thoracic Images, 2018
Fully automated myocardial strain estimation from cine MRI using convolutional neural networks.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Automatic left ventricular outflow tract classification for accurate cardiac MR planning.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
2017
Semi-automatic Cardiac and Respiratory Gated MRI for Cardiac Assessment During Exercise.
Proceedings of the Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment, 2017