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Mobina Mahdavi
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Year
Imaging Biomarker Knowledge Transfer for Attention-Based Diagnosis of COVID-19 in Lung Ultrasound Videos
T Lum, M Mahdavi, O Frenkel, C Lee, MH Jafari, FT Dezaki, ...
Simplifying Medical Ultrasound: Second International Workshop, ASMUS 2021 …, 2021
52021
COVID-19 DIAGNOSIS BY POINT OF CARE LUNG ULTRASOUND: A NOVEL DEEP LEARNING ARTIFICIAL INTELLIGENCE METHOD
T Lum, M Mahdavi, C Lee, O Frenkel, F Dezaki, M Jafari, ...
Canadian Journal of Cardiology 37 (10), S77-S78, 2021
42021
Pointwise attention-based atrous convolutional neural networks
M Mahdavi, F Fooladgar, S Kasaei
arXiv preprint arXiv:1912.12082, 2019
42019
Automated Atrial Fibrillation Diagnosis by Echocardiography without ECG: Accuracy and Applications of a New Deep Learning Approach
N Lu, H Vaseli, M Mahdavi, F Taheri Dezaki, C Luong, D Yeung, K Gin, ...
Diseases 12 (2), 35, 2024
12024
NEW DEEP LEARNING APPROACH FOR AUTOMATED DIAGNOSIS OF ATRIAL FIBRILLATION BY ECHOCARDIOGRAPHY WITHOUT ECG
N Lu, H Vaseli, M Mahdavi, F Dezaki, C Luong, D Yeung, K Gin, M Tsang, ...
Canadian Journal of Diabetes 47 (7), S180, 2023
2023
EchoGLAD: Hierarchical Graph Neural Networks for Left Ventricle Landmark Detection on Echocardiograms
M Mokhtari, M Mahdavi, H Vaseli, C Luong, P Abolmaesumi, TSM Tsang, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2023
2023
DEEP LEARNING MODELS FOR AUTOMATING ASSESSMENT OF LEFT VENTRICULAR WALL THICKNESS AND DIMENSIONS
J Yim, M Mahdavi, H Vaseli, C Luong, M Tsang, D Yeung, K Gin, P Nair, ...
Canadian Journal of Cardiology 38 (10), S174, 2022
2022
Differential Learning from Sparse and Noisy Labels for Robust Detection of Clinical Landmarks in Echo Cine Series
M Mahdavi, H Vaseli, C Luong, N Van Woudenberg, M Jafari, ...
International Workshop on Advances in Simplifying Medical Ultrasound, 44-53, 2022
2022
Multi-task learning for leveraging noisy labels in automatic analysis of ultrasound images
M Mahdavi
University of British Columbia, 2022
2022
HiGNN: Hierarchical Left Ventricle Landmark Detection with Graph Neural Networks
M Mokhtari, M Mahdavi, H Vaseli
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