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Ali Ameri
Shahid Beheshti University of Medical Sciences and Health Services
Pattern recognitionComputer visionMueller calculusComputer scienceArtificial neural network
19Publications
7H-index
205Citations
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Publications 17
Newest
#1N Amini (Shahid Beheshti University of Medical Sciences and Health Services)
#2Ali Ameri (Shahid Beheshti University of Medical Sciences and Health Services)H-Index: 7
Background: Arcus Senilis (AS) appears as a white, grey or blue ring or arc in front of the periphery of the iris, and is a symptom of abnormally high cholesterol in patients under 50 years old. Objective: This work proposes a deep learning approach to automatic recognition of AS in eye images.Material and Methods: In this analytical study, a dataset of 191 eye images (130 normal, 61 with AS) was employed where ¾ of the data were used for training the proposed model and ¼ of the data were used f...
#1Ali Ameri (Shahid Beheshti University of Medical Sciences and Health Services)H-Index: 7
#1A Ameri (Shahid Beheshti University of Medical Sciences and Health Services)
Last. M Ghorbani (Shahid Beheshti University of Medical Sciences and Health Services)H-Index: 2
view all 2 authors...
Source
#1Ali Ameri (Shahid Beheshti University of Medical Sciences and Health Services)H-Index: 7
#2Mohammad Ali Akhaee (UT: University of Tehran)H-Index: 12
Last. Kevin Englehart (UNB: University of New Brunswick)H-Index: 24
view all 4 authors...
An important barrier to commercialization of pattern recognition myoelectric control of prostheses is the lack of robustness to confounding factors such as electrode shift, skin impedance variations, and learning effects. To overcome this challenge, a novel supervised adaptation approach based on transfer learning (TL) with convolutional neural networks (CNNs) is proposed which requires only a short training session (a few seconds for each class) to recalibrate the system. TL is proposed as a so...
Source
#1Ali Ameri (Shahid Beheshti University of Medical Sciences and Health Services)H-Index: 7
#1Ali AmeriH-Index: 7
#2Mohammad Ali AkhaeeH-Index: 12
Last. Kevin EnglehartH-Index: 24
view all 4 authors...
OBJECTIVE: Deep learning models can learn representations of data that extract useful information in order to perform prediction without feature engineering. In this paper, an electromyography (EMG) control scheme with a regression convolutional neural network (CNN) is proposed as a substitute of conventional regression models that use purposefully designed features. APPROACH: The usability of the regression CNN model is validated for the first time, using an online Fitts' law style test with bo...
Source
#1Saeedesadat Badieyan (Shahid Beheshti University of Medical Sciences and Health Services)H-Index: 1
#2Ali Ameri (Shahid Beheshti University of Medical Sciences and Health Services)H-Index: 7
Last. Pezhman Sasanpour (Shahid Beheshti University of Medical Sciences and Health Services)H-Index: 8
view all 5 authors...
Abstract The polarimetry imaging technique has provided a powerful tool for discriminating normal from cancerous tissues. In this paper, based on the backscattering Mueller matrix imaging of prostate bulk tissues, (received immediately after surgery without any further processing), we have extracted the characteristic features of the Mueller matrix images. In order to provide a quantitative and more accurate comparison, three different methods have been used; the Mueller matrix polar decompositi...
Source
#1Ali AmeriH-Index: 7
#2Mohammad Ali AkhaeeH-Index: 12
Last. Kevin EnglehartH-Index: 24
view all 4 authors...
The evolution of deep learning techniques has been transformative as they have allowed complex mappings to be trained between control inputs and outputs without the need for feature engineering. In this work, a myoelectric control system based on convolutional neural networks (CNN) is proposed as a possible alternative to traditional approaches that rely on specifically designed features. This CNN-based system is validated using a real-time Fitts’ law style target acquisition test requiring sing...
Source
#1Saeedesadat Badieyan (Shahid Beheshti University of Medical Sciences and Health Services)H-Index: 1
#2Arezou Dilmaghani-Marand (Tehran University of Medical Sciences)H-Index: 3
Last. Pezhman Sasanpour (Shahid Beheshti University of Medical Sciences and Health Services)H-Index: 8
view all 8 authors...
The polarization imaging technique is a powerful approach to probe microstructural and optical information of biological structures (e.g., tissue samples). Here, we have studied the polarization properties of different bacterial colonies in order to evaluate the possibility of bacterial detection and discrimination. In this regard, we have taken the backscattering Mueller matrix images of four different bacteria colonies (i.e., Escherichia coli, Lactobacillus rhamnosus, Rhodococcus erythropolis,...
4 CitationsSource
#1Saeedesadat Badieyan (Shahid Beheshti University of Medical Sciences and Health Services)H-Index: 1
#2Ali Ameri (Shahid Beheshti University of Medical Sciences and Health Services)H-Index: 7
Last. Pezhman Sasanpour (Shahid Beheshti University of Medical Sciences and Health Services)H-Index: 8
view all 5 authors...
Polarimetric imaging technique is a beneficial and non-destructive tool for probing the structural properties of different tissues. The obtained optical signature matrix will help clinicians to evaluate the condition of tissues. As the polarimetric properties of tissues are dependent to the structure and cellular skeleton, time lapsing may introduce variation in the polarization properties. Based on this, in the current study we have investigated the polarization properties of human prostate tis...
Source
#1Ali Ameri (UNB: University of New Brunswick)H-Index: 7
#2Ernest Nlandu Kamavuako (AAU: Aalborg University)H-Index: 17
Last. Philip A. Parker (UNB: University of New Brunswick)H-Index: 31
view all 5 authors...
This study describes the first application of a support vector machine (SVM) based scheme for real-time simultaneous and proportional myoelectric control of multiple degrees of freedom (DOFs). Three DOFs including wrist flexion–extension, abduction–adduction and forearm pronation–supination were investigated with 10 able-bodied subjects and two individuals with transradial limb deficiency (LD). A Fitts' law test involving real-time target acquisition tasks was conducted to compare the usability ...
64 CitationsSource
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