Steffen E. Petersen
Orcid: 0000-0003-4622-5160
According to our database1,
Steffen E. Petersen
authored at least 48 papers
between 2016 and 2024.
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Bibliography
2024
2023
Deep Learning Segmentation of the Right Ventricle in Cardiac MRI: The M&Ms Challenge.
IEEE J. Biomed. Health Informatics, July, 2023
Estimating Uncertainty in Neural Networks for Cardiac MRI Segmentation: A Benchmark Study.
IEEE Trans. Biomed. Eng., June, 2023
DragNet: Learning-based deformable registration for realistic cardiac MR sequence generation from a single frame.
Medical Image Anal., 2023
Proceedings of the AI and Big Data in Cardiology: A Practical Guide, 2023
2022
Automatic 3D+t four-chamber CMR quantification of the UK biobank: integrating imaging and non-imaging data priors at scale.
Medical Image Anal., 2022
Large-scale, multi-centre, multi-disease validation of an AI clinical tool for cine CMR analysis.
CoRR, 2022
2021
Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge.
IEEE Trans. Medical Imaging, 2021
Recovering from missing data in population imaging - Cardiac MR image imputation via conditional generative adversarial nets.
Medical Image Anal., 2021
Super-Resolution of Cardiac MR Cine Imaging using Conditional GANs and Unsupervised Transfer Learning.
Medical Image Anal., 2021
Medical Image Anal., 2021
Shape registration with learned deformations for 3D shape reconstruction from sparse and incomplete point clouds.
Medical Image Anal., 2021
The Promise of AI in Detection, Diagnosis, and Epidemiology for Combating COVID-19: Beyond the Hype.
Frontiers Artif. Intell., 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
A new scheme for the assessment of the robustness of Explainable Methods Applied to Brain Age estimation.
Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021
2020
Improving cardiac MRI convolutional neural network segmentation on small training datasets and dataset shift: A continuous kernel cut approach.
Medical Image Anal., 2020
Fully Automated Myocardial Strain Estimation from CMR Tagged Images using a Deep Learning Framework in the UK Biobank.
CoRR, 2020
Genetic Architecture of Quantitative Cardiovascular Traits: Blood Pressure, ECG and Imaging Phenotypes.
Proceedings of the Computing in Cardiology, 2020
2019
Automatic Assessment of Full Left Ventricular Coverage in Cardiac Cine Magnetic Resonance Imaging With Fisher-Discriminative 3-D CNN.
IEEE Trans. Biomed. Eng., 2019
Quantitative CMR population imaging on 20, 000 subjects of the UK Biobank imaging study: LV/RV quantification pipeline and its evaluation.
Medical Image Anal., 2019
Improving the generalizability of convolutional neural network-based segmentation on CMR images.
CoRR, 2019
CoRR, 2019
Automated Quality Control in Image Segmentation: Application to the UK Biobank Cardiac MR Imaging Study.
CoRR, 2019
Unsupervised Standard Plane Synthesis in Population Cine MRI via Cycle-Consistent Adversarial Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Missing Slice Imputation in Population CMR Imaging via Conditional Generative Adversarial Nets.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Quality Control-Driven Image Segmentation Towards Reliable Automatic Image Analysis in Large-Scale Cardiovascular Magnetic Resonance Aortic Cine Imaging.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Combining Multi-Sequence and Synthetic Images for Improved Segmentation of Late Gadolinium Enhancement Cardiac MRI.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges, 2019
Self-Supervised Learning for Cardiac MR Image Segmentation by Anatomical Position Prediction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
3D Cardiac Shape Prediction with Deep Neural Networks: Simultaneous Use of Images and Patient Metadata.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
End-Diastolic and End-Systolic LV Morphology in the Presence of Cardiovascular Risk Factors: A UK Biobank Study.
Proceedings of the Functional Imaging and Modeling of the Heart, 2019
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019
2018
Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?
IEEE Trans. Medical Imaging, 2018
Automatic Assessment of Full Left Ventricular Coverage in Cardiac Cine Magnetic Resonance Imaging with Fisher-Discriminative 3D CNN.
CoRR, 2018
Multi-Input and Dataset-Invariant Adversarial Learning (MDAL) for Left and Right-Ventricular Coverage Estimation in Cardiac MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the Machine Learning for Medical Image Reconstruction, 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
High Throughput Computation of Reference Ranges of Biventricular Cardiac Function on the UK Biobank Population Cohort.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges, 2018
2017
Proceedings of the Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges, 2017
2016
Towards the Creation of the Cardiovascular Magnetic Resonance Quality Assessment Ontology (CMR-QA).
Proceedings of the 9th International Conference Semantic Web Applications and Tools for Life Sciences, 2016
Automated Quality Assessment of Cardiac MR Images Using Convolutional Neural Networks.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2016
Towards the Semantic Enrichment of Free-Text Annotation of Image Quality Assessment for UK Biobank Cardiac Cine MRI Scans.
Proceedings of the Deep Learning and Data Labeling for Medical Applications, 2016
Proceedings of the Seventh International Workshop on Health Text Mining and Information Analysis, 2016