353 citations
- Université de MontréalCA22 papers
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36 papers · 1 filter
on the effectiveness of generative adversarial network on anomaly detection
Laya Rafiee Sevyeri, Thomas Fevens
Identifying anomalies refers to detecting samples that do not resemble the training data distribution. Many generative models have been used to find anomalies, and among them, gene…
Multi-task Recurrent Neural Networks to Simultaneously Infer Mode and Purpose in GPS Trajectories
Ali Yazdizadeh, Arash Kalatian, Zachary Patterson +1
Multi-task learning is assumed as a powerful inference method, specifically, where there is a considerable correlation between multiple tasks, predicting them in an unique framewor…
Fast Strain Estimation and Frame Selection in Ultrasound Elastography using Machine Learning
Abdelrahman Zayed, Hassan Rivaz
Ultrasound Elastography aims to determine the mechanical properties of the tissue by monitoring tissue deformation due to internal or external forces. Tissue deformations are estim…
Plane-Wave Ultrasound Beamforming: A Deep Learning Approach
Sobhan Goudarzi, Hassan Rivaz
Medical ultrasound provides images which are the spatial map of the tissue echogenicity. Unfortunately, an ultrasound image is a low-quality version of the expected Tissue Reflecti…
TEMGNet: Deep Transformer-based Decoding of Upperlimb sEMG for Hand Gestures Recognition
Elahe Rahimian, Soheil Zabihi, Amir Asif +3
There has been a surge of recent interest in Machine Learning (ML), particularly Deep Neural Network (DNN)-based models, to decode muscle activities from surface Electromyography (…
Estimation of the Scatterer Size Distributions in Quantitative Ultrasound Using Constrained Optimization
Noushin Jafarpisheh, Ivan M. Rosado-Mendez, Timothy J. Hall +1
Quantitative ultrasound (QUS) parameters such as the effective scatterer diameter (ESD) reveal tissue properties by analyzing ultrasound backscattered echo signal. ESD can be attai…