Bram Ruijsink - RankMe

62 papers Journal 34Unranked 26

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Cardiac Digital Twins at Scale from MRI: Open Tools and Representative Models from ~55000 UK Biobank Participants. CoRR Devran Ugurlu, Shuang Qian, Elliot Fairweather, Charlène Alice Mauger, Bram Ruijsink, Laura Dal Toso, Yu Deng, Marina Strocchi, Reza Razavi, Alistair A. Young, Pablo Lamata, Steven A. Niederer, Martin J. Bishop
2025	—	`conf`	Does a Rising Tide Lift All Boats? Bias Mitigation for AI-Based CMR Segmentation. FAIMI@MICCAI Tiarna Lee, Esther Puyol-Antón, Bram Ruijsink, Miaojing Shi, Andrew P. King
2025	J	`jnl`	Does a Rising Tide Lift All Boats? Bias Mitigation for AI-based CMR Segmentation. CoRR Tiarna Lee, Esther Puyol-Antón, Bram Ruijsink, Miaojing Shi, Andrew P. King
2024	J	`jnl`	A Deep Learning-Based Integrated Framework for Quality-Aware Undersampled Cine Cardiac MRI Reconstruction and Analysis. IEEE Trans. Biomed. Eng. Inês Machado, Esther Puyol-Antón, Kerstin Hammernik, Gastão Cruz, Devran Ugurlu, Ihsane Olakorede, Ilkay Öksüz, Bram Ruijsink, Miguel Castelo-Branco, Alistair A. Young, Claudia Prieto, Julia A. Schnabel, Andrew P. King
2024	J	`jnl`	An investigation into the causes of race bias in AI-based cine CMR segmentation. CoRR Tiarna Lee, Esther Puyol-Antón, Bram Ruijsink, Sebastien Roujol, Theodore Barfoot, Shaheim Ogbomo-Harmitt, Miaojing Shi, Andrew P. King
2024	J	`jnl`	Improving Deep Learning Model Calibration for Cardiac Applications using Deterministic Uncertainty Networks and Uncertainty-aware Training. CoRR Tareen Dawood, Bram Ruijsink, Reza Razavi, Andrew P. King, Esther Puyol-Antón
2024	J	`jnl`	Label Dropout: Improved Deep Learning Echocardiography Segmentation Using Multiple Datasets With Domain Shift and Partial Labelling. CoRR Iman Islam, Esther Puyol-Antón, Bram Ruijsink, Andrew J. Reader, Andrew P. King
2024	—	`conf`	Label Dropout: Improved Deep Learning Echocardiography Segmentation Using Multiple Datasets with Domain Shift and Partial Labelling. ASMUS@MICCAI Iman Islam, Esther Puyol-Antón, Bram Ruijsink, Andrew J. Reader, Andrew P. King
2023	—	`ch.`	AI and Machine Learning: The Basics. AI and Big Data in Cardiology Nicolas Duchateau, Esther Puyol-Antón, Bram Ruijsink, Andrew P. King
2023	—	`conf`	An Investigation into the Impact of Deep Learning Model Choice on Sex and Race Bias in Cardiac MR Segmentation. CLIP/FAIMI/EPIMI@MICCAI Tiarna Lee, Esther Puyol-Antón, Bram Ruijsink, Keana Aitcheson, Miaojing Shi, Andrew P. King
2023	J	`jnl`	An investigation into the impact of deep learning model choice on sex and race bias in cardiac MR segmentation. CoRR Tiarna Lee, Esther Puyol-Antón, Bram Ruijsink, Keana Aitcheson, Miaojing Shi, Andrew P. King
2023	—	`ch.`	Measurement and Quantification. AI and Big Data in Cardiology Olivier Bernard, Bram Ruijsink, Thomas Grenier, Mathieu De Craene
2023	J	`jnl`	Uncertainty Aware Training to Improve Deep Learning Model Calibration for Classification of Cardiac MR Images. CoRR Tareen Dawood, Chen Chen, Baldeep S. Sidhua, Bram Ruijsink, Justin Gould, Bradley Porter, Mark K. Elliott, Vishal Mehta, Christopher A. Rinaldi, Esther Puyol-Antón, Reza Razavi, Andrew P. King
2023	J	`jnl`	Uncertainty aware training to improve deep learning model calibration for classification of cardiac MR images. Medical Image Anal. Tareen Dawood, Chen Chen, Baldeep S. Sidhu, Bram Ruijsink, Justin Gould, Bradley Porter, Mark K. Elliott, Vishal Mehta, Christopher A. Rinaldi, Esther Puyol-Antón, Reza Razavi, Andrew P. King
2022	J	`jnl`	A Deep Learning-based Integrated Framework for Quality-aware Undersampled Cine Cardiac MRI Reconstruction and Analysis. CoRR Inês Prata Machado, Esther Puyol-Antón, Kerstin Hammernik, Gastão Cruz, Devran Ugurlu, Ihsane Olakorede, Ilkay Öksüz, Bram Ruijsink, Miguel Castelo-Branco, Alistair A. Young, Claudia Prieto, Julia A. Schnabel, Andrew P. King
2022	—	`conf`	A Systematic Study of Race and Sex Bias in CNN-Based Cardiac MR Segmentation. STACOM@MICCAI Tiarna Lee, Esther Puyol-Antón, Bram Ruijsink, Miaojing Shi, Andrew P. King
2022	J	`jnl`	A systematic study of race and sex bias in CNN-based cardiac MR segmentation. CoRR Tiarna Lee, Esther Puyol-Antón, Bram Ruijsink, Miaojing Shi, Andrew P. King
2022	—	`conf`	AI-Enabled Assessment of Cardiac Systolic and Diastolic Function from Echocardiography. ASMUS@MICCAI Esther Puyol-Antón, Bram Ruijsink, Baldeep S. Sidhu, Justin Gould, Bradley Porter, Mark K. Elliott, Vishal Mehta, Haotian Gu, Christopher A. Rinaldi, Martin R. Cowie, Philip J. Chowienczyk, Reza Razavi, Andrew P. King
2022	J	`jnl`	AI-enabled Assessment of Cardiac Systolic and Diastolic Function from Echocardiography. CoRR Esther Puyol-Antón, Bram Ruijsink, Baldeep S. Sidhu, Justin Gould, Bradley Porter, Mark K. Elliott, Vishal Mehta, Haotian Gu, Miguel Xochicale, Alberto Gómez, Christopher A. Rinaldi, Martin R. Cowie, Philip J. Chowienczyk, Reza Razavi, Andrew P. King
2022	—	`conf`	Automated Quality Controlled Analysis of 2D Phase Contrast Cardiovascular Magnetic Resonance Imaging. STACOM@MICCAI Emily Chan, Ciaran O'Hanlon, Carlota Asegurado Marquez, Marwenie Petalcorin, Jorge Mariscal Harana, Haotian Gu, Raymond J. Kim, Robert M. Judd, Philip J. Chowienczyk, Julia A. Schnabel, Reza Razavi, Andrew P. King, Bram Ruijsink, Esther Puyol-Antón
2022	J	`jnl`	Automated Quality Controlled Analysis of 2D Phase Contrast Cardiovascular Magnetic Resonance Imaging. CoRR Emily Chan, Ciaran O'Hanlon, Carlota Asegurado Marquez, Marwenie Petalcorin, Jorge Mariscal Harana, Haotian Gu, Raymond J. Kim, Robert M. Judd, Philip J. Chowienczyk, Julia A. Schnabel, Reza Razavi, Andrew P. King, Bram Ruijsink, Esther Puyol-Antón
2022	—	`conf`	Deep Learning-Based Segmentation of Pleural Effusion from Ultrasound Using Coordinate Convolutions. DeCaF/FAIR@MICCAI Germain Morilhat, Naomi Kifle, Sandra FinesilverSmith, Bram Ruijsink, Vittoria Vergani, Habtamu Tegegne Desita, Zerubabel Tegegne Desita, Esther Puyol-Antón, Aaron Carass, Andrew P. King
2022	J	`jnl`	Deep Learning-based Segmentation of Pleural Effusion From Ultrasound Using Coordinate Convolutions. CoRR Germain Morilhat, Naomi Kifle, Sandra FinesilverSmith, Bram Ruijsink, Vittoria Vergani, Habtamu Tegegne Desita, Zerubabel Tegegne Desita, Esther Puyol-Antón, Aaron Carass, Andrew P. King
2022	J	`jnl`	Large-scale, multi-centre, multi-disease validation of an AI clinical tool for cine CMR analysis. CoRR Jorge Mariscal Harana, Clint Asher, Vittoria Vergani, Maleeha Rizvi, Louise Keehn, Raymond J. Kim, Robert M. Judd, Steffen E. Petersen, Reza Razavi, Andrew P. King, Bram Ruijsink, Esther Puyol-Antón
2022	J	`jnl`	Non-invasive local pulse wave velocity using 4D-flow MRI. Biomed. Signal Process. Control. Joaquín Mura, Julio Sotelo, Hernán Mella, James Wong, Tarique Hussain, Bram Ruijsink, Sergio Uribe
2021	—	`conf`	Fairness in Cardiac MR Image Analysis: An Investigation of Bias Due to Data Imbalance in Deep Learning Based Segmentation. MICCAI (3) Esther Puyol-Antón, Bram Ruijsink, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Reza Razavi, Andrew P. King
2021	J	`jnl`	Fairness in Cardiac MR Image Analysis: An Investigation of Bias Due to Data Imbalance in Deep Learning Based Segmentation. CoRR Esther Puyol-Antón, Bram Ruijsink, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Reza Razavi, Andrew P. King
2021	—	`conf`	Improved AI-Based Segmentation of Apical and Basal Slices from Clinical Cine CMR. STACOM@MICCAI Jorge Mariscal Harana, Naomi Kifle, Reza Razavi, Andrew P. King, Bram Ruijsink, Esther Puyol-Antón
2021	J	`jnl`	Improved AI-based segmentation of apical and basal slices from clinical cine CMR. CoRR Jorge Mariscal Harana, Naomi Kifle, Reza Razavi, Andrew P. King, Bram Ruijsink, Esther Puyol-Antón
2021	—	`conf`	Quality-Aware Cine Cardiac MRI Reconstruction and Analysis from Undersampled K-Space Data. STACOM@MICCAI Inês Machado, Esther Puyol-Antón, Kerstin Hammernik, Gastão Cruz, Devran Ugurlu, Bram Ruijsink, Miguel Castelo-Branco, Alistair A. Young, Claudia Prieto, Julia A. Schnabel, Andrew P. King
2021	J	`jnl`	Quality-aware Cine Cardiac MRI Reconstruction and Analysis from Undersampled k-space Data. CoRR Inês Machado, Esther Puyol-Antón, Kerstin Hammernik, Gastão Cruz, Devran Ugurlu, Bram Ruijsink, Miguel Castelo-Branco, Alistair A. Young, Claudia Prieto, Julia A. Schnabel, Andrew P. King
2021	—	`conf`	The Impact of Domain Shift on Left and Right Ventricle Segmentation in Short Axis Cardiac MR Images. STACOM@MICCAI Devran Ugurlu, Esther Puyol-Antón, Bram Ruijsink, Alistair A. Young, Inês Machado, Kerstin Hammernik, Andrew P. King, Julia A. Schnabel
2021	J	`jnl`	The Impact of Domain Shift on Left and Right Ventricle Segmentation in Short Axis Cardiac MR Images. CoRR Devran Ugurlu, Esther Puyol-Antón, Bram Ruijsink, Alistair A. Young, Inês Machado, Kerstin Hammernik, Andrew P. King, Julia A. Schnabel
2021	—	`conf`	Uncertainty-Aware Training for Cardiac Resynchronisation Therapy Response Prediction. STACOM@MICCAI Tareen Dawood, Chen Chen, Robin Andlauer, Baldeep S. Sidhu, Bram Ruijsink, Justin Gould, Bradley Porter, Mark K. Elliott, Vishal Mehta, C. Aldo Rinaldi, Esther Puyol-Antón, Reza Razavi, Andrew P. King
2021	J	`jnl`	Uncertainty-Aware Training for Cardiac Resynchronisation Therapy Response Prediction. CoRR Tareen Dawood, Chen Chen, Robin Andlauer, Baldeep S. Sidhu, Bram Ruijsink, Justin Gould, Bradley Porter, Mark K. Elliott, Vishal Mehta, C. Aldo Rinaldi, Esther Puyol-Antón, Reza Razavi, Andrew P. King
2020	J	`jnl`	Automated quantification of myocardial tissue characteristics from native T1 mapping using neural networks with Bayesian inference for uncertainty-based quality-control. CoRR Esther Puyol-Antón, Bram Ruijsink, Christian F. Baumgartner, Matthew Sinclair, Ender Konukoglu, Reza Razavi, Andrew P. King
2020	J	`jnl`	Deep Learning-Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentation. IEEE Trans. Medical Imaging Ilkay Öksüz, James R. Clough, Bram Ruijsink, Esther Puyol-Antón, Aurélien Bustin, Gastão Cruz, Claudia Prieto, Andrew P. King, Julia A. Schnabel
2020	—	`conf`	Interpretable Deep Models for Cardiac Resynchronisation Therapy Response Prediction. MICCAI (1) Esther Puyol-Antón, Chen Chen, James R. Clough, Bram Ruijsink, Baldeep S. Sidhu, Justin Gould, Bradley Porter, Mark K. Elliott, Vishal Mehta, Daniel Rueckert, Christopher A. Rinaldi, Andrew P. King
2020	J	`jnl`	Interpretable Deep Models for Cardiac Resynchronisation Therapy Response Prediction. CoRR Esther Puyol-Antón, Chen Chen, James R. Clough, Bram Ruijsink, Baldeep S. Sidhu, Justin Gould, Bradley Porter, Mark K. Elliott, Vishal Mehta, Daniel Rueckert, Christopher A. Rinaldi, Andrew P. King
2020	—	`conf`	Quality-Aware Semi-supervised Learning for CMR Segmentation. M&Ms and EMIDEC/STACOM@MICCAI Bram Ruijsink, Esther Puyol-Antón, Ye Li, Wenjia Bai, Eric Kerfoot, Reza Razavi, Andrew P. King
2020	J	`jnl`	Quality-aware semi-supervised learning for CMR segmentation. CoRR Bram Ruijsink, Esther Puyol-Antón, Ye Li, Wenjia Bai, Eric Kerfoot, Reza Razavi, Andrew P. King
2019	—	`conf`	Assessing the Impact of Blood Pressure on Cardiac Function Using Interpretable Biomarkers and Variational Autoencoders. STACOM@MICCAI Esther Puyol-Antón, Bram Ruijsink, James R. Clough, Ilkay Öksüz, Daniel Rueckert, Reza Razavi, Andrew P. King
2019	J	`jnl`	Assessing the Impact of Blood Pressure on Cardiac Function Using Interpretable Biomarkers and Variational Autoencoders. CoRR Esther Puyol-Antón, Bram Ruijsink, James R. Clough, Ilkay Öksüz, Daniel Rueckert, Reza Razavi, Andrew P. King
2019	J	`jnl`	Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning. Medical Image Anal. Ilkay Öksüz, Bram Ruijsink, Esther Puyol-Antón, James R. Clough, Gastão Cruz, Aurélien Bustin, Claudia Prieto, René M. Botnar, Daniel Rueckert, Julia A. Schnabel, Andrew P. King
2019	J	`jnl`	Deep Learning Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentation. CoRR Ilkay Öksüz, James R. Clough, Bram Ruijsink, Esther Puyol-Antón, Aurélien Bustin, Gastão Cruz, Claudia Prieto, Andrew P. King, Julia A. Schnabel
2019	J	`jnl`	Detection and Correction of Cardiac MR Motion Artefacts during Reconstruction from K-space. CoRR Ilkay Öksüz, James R. Clough, Bram Ruijsink, Esther Puyol-Antón, Aurélien Bustin, Gastão Cruz, Claudia Prieto, Daniel Rueckert, Andrew P. King, Julia A. Schnabel
2019	—	`conf`	Detection and Correction of Cardiac MRI Motion Artefacts During Reconstruction from k-space. MICCAI (4) Ilkay Öksüz, James R. Clough, Bram Ruijsink, Esther Puyol-Antón, Aurélien Bustin, Gastão Cruz, Claudia Prieto, Daniel Rueckert, Andrew P. King, Julia A. Schnabel
2019	—	`conf`	Global and Local Interpretability for Cardiac MRI Classification. MICCAI (4) James R. Clough, Ilkay Öksüz, Esther Puyol-Antón, Bram Ruijsink, Andrew P. King, Julia A. Schnabel
2019	J	`jnl`	Global and Local Interpretability for Cardiac MRI Classification. CoRR James R. Clough, Ilkay Öksüz, Esther Puyol-Antón, Bram Ruijsink, Andrew P. King, Julia A. Schnabel
2019	—	`conf`	High-quality segmentation of low quality cardiac MR images using k-space artefact correction. MIDL Ilkay Öksüz, James R. Clough, Wenjia Bai, Bram Ruijsink, Esther Puyol-Antón, Gastão Cruz, Claudia Prieto, Andrew P. King, Julia A. Schnabel
2019	—	`conf`	Model-Based Indices of Early-Stage Cardiovascular Failure and Its Therapeutic Management in Fontan Patients. FIMH Bram Ruijsink, Konrad Zugaj, Kuberan Pushparajah, Radomír Chabiniok
2019	J	`jnl`	Regional Multi-View Learning for Cardiac Motion Analysis: Application to Identification of Dilated Cardiomyopathy Patients. IEEE Trans. Biomed. Eng. Esther Puyol-Antón, Bram Ruijsink, Bernhard Gerber, Mihaela Silvia Amzulescu, Hélène Langet, Mathieu De Craene, Julia A. Schnabel, Paolo Piro, Andrew P. King
2019	—	`conf`	Synthesising Images and Labels Between MR Sequence Types with CycleGAN. DART/MIL3ID@MICCAI Eric Kerfoot, Esther Puyol-Antón, Bram Ruijsink, Rina Ariga, Ernesto Zacur, Pablo Lamata, Julia A. Schnabel
2018	—	`conf`	Automated CNN-Based Reconstruction of Short-Axis Cardiac MR Sequence from Real-Time Image Data. RAMBO+BIA+TIA@MICCAI Eric Kerfoot, Esther Puyol-Antón, Bram Ruijsink, James R. Clough, Andrew P. King, Julia A. Schnabel
2018	J	`jnl`	Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning. CoRR Ilkay Öksüz, Bram Ruijsink, Esther Puyol-Antón, James R. Clough, Gastão Cruz, Aurélien Bustin, Claudia Prieto, René M. Botnar, Daniel Rueckert, Julia A. Schnabel, Andrew P. King
2018	—	`conf`	Automatic left ventricular outflow tract classification for accurate cardiac MR planning. ISBI Ilkay Öksüz, Bram Ruijsink, Esther Puyol-Antón, Matthew Sinclair, Daniel Rueckert, Julia A. Schnabel, Andrew P. King
2018	—	`conf`	Deep Learning Using K-Space Based Data Augmentation for Automated Cardiac MR Motion Artefact Detection. MICCAI (1) Ilkay Öksüz, Bram Ruijsink, Esther Puyol-Antón, Aurélien Bustin, Gastão Cruz, Claudia Prieto, Daniel Rueckert, Julia A. Schnabel, Andrew P. King
2018	J	`jnl`	Deep Learning using K-space Based Data Augmentation for Automated Cardiac MR Motion Artefact Detection. CoRR Ilkay Öksüz, Bram Ruijsink, Esther Puyol-Antón, Aurélien Bustin, Gastão Cruz, Claudia Prieto, Daniel Rueckert, Julia A. Schnabel, Andrew P. King
2018	—	`conf`	Fully automated myocardial strain estimation from cine MRI using convolutional neural networks. ISBI Esther Puyol-Antón, Bram Ruijsink, Wenjia Bai, Hélène Langet, Mathieu De Craene, Julia A. Schnabel, Paolo Piro, Andrew P. King, Matthew Sinclair
2018	—	`conf`	Learning Associations Between Clinical Information and Motion-Based Descriptors Using a Large Scale MR-derived Cardiac Motion Atlas. STACOM@MICCAI Esther Puyol-Antón, Bram Ruijsink, Hélène Langet, Mathieu De Craene, Paolo Piro, Julia A. Schnabel, Andrew P. King
2018	J	`jnl`	Learning associations between clinical information and motion-based descriptors using a large scale MR-derived cardiac motion atlas. CoRR Esther Puyol-Antón, Bram Ruijsink, Hélène Langet, Mathieu De Craene, Paolo Piro, Julia A. Schnabel, Andrew P. King
2017	—	`conf`	Semi-automatic Cardiac and Respiratory Gated MRI for Cardiac Assessment During Exercise. CMMI/RAMBO/SWITCH@MICCAI Bram Ruijsink, Esther Puyol-Antón, Muhammad Usman, Joshua van Amerom, Phuoc Duong, Mari Nieves Velasco Forte, Kuberan Pushparajah, Alessandra Frigiola, David A. Nordsletten, Andrew P. King, Reza Razavi