Transformer-based spatio-temporal analysis for classification of aortic stenosis severity from echocardiography cine series

N Ahmadi, MY Tsang, AN Gu… - … on Medical Imaging, 2023 - ieeexplore.ieee.org
Aortic stenosis (AS) is characterized by restricted motion and calcification of the aortic valve
and is the deadliest valvular cardiac disease. Assessment of AS severity is typically done by …

Gemtrans: A general, echocardiography-based, multi-level transformer framework for cardiovascular diagnosis

M Mokhtari, N Ahmadi, TSM Tsang… - … Workshop on Machine …, 2023 - Springer
Echocardiography (echo) is an ultrasound imaging modality that is widely used for various
cardiovascular diagnosis tasks. Due to inter-observer variability in echo-based diagnosis …

Deep learning supported echocardiogram analysis: A comprehensive review

G Sanjeevi, U Gopalakrishnan… - Artificial Intelligence in …, 2024 - Elsevier
An echocardiogram is a sophisticated ultrasound imaging technique employed to diagnose
heart conditions. The transthoracic echocardiogram, one of the most prevalent types, is …

Protoasnet: Dynamic prototypes for inherently interpretable and uncertainty-aware aortic stenosis classification in echocardiography

H Vaseli, AN Gu, SN Ahmadi Amiri, MY Tsang… - … Conference on Medical …, 2023 - Springer
Aortic stenosis (AS) is a common heart valve disease that requires accurate and timely
diagnosis for appropriate treatment. Most current automatic AS severity detection methods …

Detecting heart disease from multi-view ultrasound images via supervised attention multiple instance learning

Z Huang, BS Wessler… - Machine Learning for …, 2023 - proceedings.mlr.press
Aortic stenosis (AS) is a degenerative valve condition that causes substantial morbidity and
mortality. This condition is under-diagnosed and under-treated. In clinical practice, AS is …

Semi-Supervised Multimodal Multi-Instance Learning for Aortic Stenosis Diagnosis

Z Huang, X Yu, BS Wessler, MC Hughes - arXiv preprint arXiv:2403.06024, 2024 - arxiv.org
Automated interpretation of ultrasound imaging of the heart (echocardiograms) could
improve the detection and treatment of aortic stenosis (AS), a deadly heart disease …

[HTML][HTML] MV-MS-FETE: Multi-view multi-scale feature extractor and transformer encoder for stenosis recognition in echocardiograms

D Avola, I Cannistraci, M Cascio, L Cinque… - Computer Methods and …, 2024 - Elsevier
Background: aortic stenosis is a common heart valve disease that mainly affects older
people in developed countries. Its early detection is crucial to prevent the irreversible …

Reliable Multi-view Learning with Conformal Prediction for Aortic Stenosis Classification in Echocardiography

AN Gu, M Tsang, H Vaseli, T Tsang… - … Conference on Medical …, 2024 - Springer
The fundamental problem with ultrasound-guided diagnosis is that the acquired images are
often 2-D cross-sections of a 3-D anatomy, potentially missing important anatomical details …

Deep Learning With Limited Labeled Data: New Methods and Applications to Echocardiography

Z Huang - 2024 - search.proquest.com
Deep neural networks have revolutionized various fields via high-quality flexible predictions.
However, their effectiveness often hinges on the availability of large labeled datasets for …

Detection and severity assessment of aortic stenosis using machine learning

SN Ahmadi Amiri - 2023 - open.library.ubc.ca
Aortic stenosis (AS) is a valvular cardiac disease that results in restricted motion and
calcification of the aortic valve (AV). AS severity is currently assessed by expert cardiologists …