Bram Ruijsink
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
15
Venues
1
Active years
2017–2025
Best venue rank
A
Where they publish
Papers
15 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | MICCAI | Does a Rising Tide Lift All Boats? Bias Mitigation for AI-Based CMR Segmentation. | Tiarna Lee, Esther Puyol-Antn, Bram Ruijsink, Miaojing Shi, Andrew P. King |
| 2024 | MICCAI | Label Dropout: Improved Deep Learning Echocardiography Segmentation Using Multiple Datasets with Domain Shift and Partial Labelling. | Iman Islam, Esther Puyol-Antn, Bram Ruijsink, Andrew J. Reader, Andrew P. King |
| 2022 | MICCAI | Deep Learning-Based Segmentation of Pleural Effusion from Ultrasound Using Coordinate Convolutions. | Germain Morilhat, Naomi Kifle, Sandra FinesilverSmith, Bram Ruijsink, Vittoria Vergani, Habtamu Tegegne Desita, Zerubabel Tegegne Desita, Esther Puyol-Antn, Aaron Carass, Andrew P. King |
| 2022 | MICCAI | AI-Enabled Assessment of Cardiac Systolic and Diastolic Function from Echocardiography. | Esther Puyol-Antn, 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 |
| 2021 | MICCAI | Fairness in Cardiac MR Image Analysis: An Investigation of Bias Due to Data Imbalance in Deep Learning Based Segmentation. | Esther Puyol-Antn, Bram Ruijsink, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Reza Razavi, Andrew P. King |
| 2020 | MICCAI | Interpretable Deep Models for Cardiac Resynchronisation Therapy Response Prediction. | Esther Puyol-Antn, 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 | MICCAI | Quality-Aware Semi-supervised Learning for CMR Segmentation. | Bram Ruijsink, Esther Puyol-Antn, Ye Li, Wenjia Bai, Eric Kerfoot, Reza Razavi, Andrew P. King |
| 2019 | MICCAI | Global and Local Interpretability for Cardiac MRI Classification. | James R. Clough, Ilkay ksz, Esther Puyol-Antn, Bram Ruijsink, Andrew P. King, Julia A. Schnabel |
| 2019 | MICCAI | Synthesising Images and Labels Between MR Sequence Types with CycleGAN. | Eric Kerfoot, Esther Puyol-Antn, Bram Ruijsink, Rina Ariga, Ernesto Zacur, Pablo Lamata, Julia A. Schnabel |
| 2019 | MICCAI | Detection and Correction of Cardiac MRI Motion Artefacts During Reconstruction from k-space. | Ilkay ksz, James R. Clough, Bram Ruijsink, Esther Puyol-Antn, Aurlien Bustin, Gasto Cruz, Claudia Prieto, Daniel Rueckert, Andrew P. King, Julia A. Schnabel |
| 2019 | MICCAI | Assessing the Impact of Blood Pressure on Cardiac Function Using Interpretable Biomarkers and Variational Autoencoders. | Esther Puyol-Antn, Bram Ruijsink, James R. Clough, Ilkay ksz, Daniel Rueckert, Reza Razavi, Andrew P. King |
| 2018 | MICCAI | Automated CNN-Based Reconstruction of Short-Axis Cardiac MR Sequence from Real-Time Image Data. | Eric Kerfoot, Esther Puyol-Antn, Bram Ruijsink, James R. Clough, Andrew P. King, Julia A. Schnabel |
| 2018 | MICCAI | Deep Learning Using K-Space Based Data Augmentation for Automated Cardiac MR Motion Artefact Detection. | Ilkay ksz, Bram Ruijsink, Esther Puyol-Antn, Aurlien Bustin, Gasto Cruz, Claudia Prieto, Daniel Rueckert, Julia A. Schnabel, Andrew P. King |
| 2018 | MICCAI | Learning Associations Between Clinical Information and Motion-Based Descriptors Using a Large Scale MR-derived Cardiac Motion Atlas. | Esther Puyol-Antn, Bram Ruijsink, Hlne Langet, Mathieu De Craene, Paolo Piro, Julia A. Schnabel, Andrew P. King |
| 2017 | MICCAI | Semi-automatic Cardiac and Respiratory Gated MRI for Cardiac Assessment During Exercise. | Bram Ruijsink, Esther Puyol-Antn, Muhammad Usman, Joshua van Amerom, Phuoc Duong, Mari Nieves Velasco Forte, Kuberan Pushparajah, Alessandra Frigiola, David A. Nordsletten, Andrew P. King, Reza Razavi |