74 citations · 262 across the 80 of their papers we have counts for
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A Unifying Approach to Inverse Problems of Ultrasound Beamforming and Deconvolution
Sobhan Goudarzi, Adrian Basarab, Hassan Rivaz
Beamforming is an essential step in the ultrasound image formation pipeline and has recently attracted growing interest. An important goal of beamforming is to increase the image s…
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…
Vision Transformer for Classification of Breast Ultrasound Images
Behnaz Gheflati, Hassan Rivaz
Medical ultrasound (US) imaging has become a prominent modality for breast cancer imaging due to its ease-of-use, low-cost and safety. In the past decade, convolutional neural netw…
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…
An Ultra-Fast Method for Simulation of Realistic Ultrasound Images
Mostafa Sharifzadeh, Habib Benali, Hassan Rivaz
Convolutional neural networks (CNNs) have attracted a rapidly growing interest in a variety of different processing tasks in the medical ultrasound community. However, the performa…
Ultrasound Domain Adaptation Using Frequency Domain Analysis
Mostafa Sharifzadeh, Ali K. Z. Tehrani, Habib Benali +1
A common issue in exploiting simulated ultrasound data for training neural networks is the domain shift problem, where the trained models on synthetic data are not generalizable to…
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…
Automatic 3D Ultrasound Segmentation of Uterus Using Deep Learning
Bahareh Behboodi, Hassan Rivaz, Susan Lalondrelle +1
On-line segmentation of the uterus can aid effective image-based guidance for precise delivery of dose to the target tissue (the uterocervix) during cervix cancer radiotherapy. 3D…
Explainable AI and susceptibility to adversarial attacks: a case study in classification of breast ultrasound images
Hamza Rasaee, Hassan Rivaz
Ultrasound is a non-invasive imaging modality that can be conveniently used to classify suspicious breast nodules and potentially detect the onset of breast cancer. Recently, Convo…
Investigating Shift-Variance of Convolutional Neural Networks in Ultrasound Image Segmentation
Mostafa Sharifzadeh, Habib Benali, Hassan Rivaz
While accuracy is an evident criterion for ultrasound image segmentation, output consistency across different tests is equally crucial for tracking changes in regions of interest i…