Nay Aung
Orcid: 0000-0001-5095-1611
According to our database1,
Nay Aung
authored at least 15 papers
between 2016 and 2025.
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Bibliography
2025
CoRR, August, 2025
2024
Prediction of Incident Atrial Fibrillation in Population with Ischemic Heart Disease Using Machine Learning with Radiomics and ECG Markers.
Proceedings of the Medical Image Understanding and Analysis - 28th Annual Conference, 2024
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
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
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
Automated Quality Control in Image Segmentation: Application to the UK Biobank Cardiac MR Imaging Study.
CoRR, 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
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
2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
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
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