304 citations · 457 across the 6 of their papers we have counts for
8 papers
DF-SSmVEP: Dual Frequency Aggregated Steady-State Motion Visual Evoked Potential Design with Bifold Canonical Correlation Analysis
Raika Karimi, Arash Mohammadi, Amir Asif +1
Recent advancements in Electroencephalography (EEG) sensor technologies and signal processing algorithms have paved the way for further evolution of Brain Computer Interfaces (BCI)…
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…
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…
X-vectors: New Quantitative Biomarkers for Early Parkinson's Disease Detection from Speech
Laetitia Jeancolas, Dijana Petrovska-Delacrétaz, Graziella Mangone +5
Many articles have used voice analysis to detect Parkinson's disease (PD), but few have focused on the early stages of the disease and the gender effect. In this article, we have a…
From Hand-Crafted to Deep Learning-based Cancer Radiomics: Challenges and Opportunities
Parnian Afshar, Arash Mohammadi, Konstantinos N. Plataniotis +2
Recent advancements in signal processing and machine learning coupled with developments of electronic medical record keeping in hospitals and the availability of extensive set of m…