Nay Aung
Orcid: 0000-0001-5095-1611
According to our database1,
Nay Aung
authored at least 14 papers
between 2016 and 2024.
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Bibliography
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