Amel Laidi- Doctor of Psychology
- University of Boumerdes
Amel Laidi
- Doctor of Psychology
- University of Boumerdes
Biomedical Engineer & Researcher
About
6
Publications
1,082
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
35
Citations
Introduction
Experienced biomedical engineer and researcher with expertise in Biomedical Engineering, AI, and Deep Learning.
Recently, my research interests have expanded to include multifunctional biomaterials for non-surgical solutions, aiming to advance therapeutic innovation for bone regeneration.
Current institution
Publications
Publications (6)
Objective
This work aims to create an automatic detection process of cardiac structures in both short-axis and long-axis views. A workflow inspired by human thinking process, for better explainability.
Methods
we began by separating the images into two classes: long axis and short axis, using a Residual Network model. Then, we used Particle Swarm...
Background:
Patients with atherosclerosis have a rather high risk of showing complications, if not diagnosed quickly and efficiently.
Objective:
In this paper we aim to test and compare different pre-trained deep learning models, to find the best model for atherosclerosis detection in coronary CT angiography.
Methods:
We experimented with diff...
![A Building Block of Residual Network [ 17 ]](publication/360661915/figure/fig1/AS:11431281308858112@1739185557732/A-Building-Block-of-Residual-Network-17_Q320.jpg)
INTRODUCTION: Atherosclerosis is a chronic medical condition that can result in coronary artery disease, strokes, or even heart attacks. early detection can result in timely interventions and save lives.OBJECTIVES: In this work, a fully automatic transfer learning-based model was proposed for Atherosclerosis detection in coronary CT angiography (CC...
Every day, a large number of people with brain injury are received in the emergency rooms. Due to the large number of slices analyzed by the doctors for each patient and to accelerate the diagnosis, the development of a precise computer-aided diagnosis system becomes very recommended.
The aim of our work is developing a tool to help radiologists in...
![The eight White Blood Cells Types available in the dataset [ 22 ]](publication/355436134/figure/fig1/AS:11431281308942475@1739185604777/The-eight-White-Blood-Cells-Types-available-in-the-dataset-22_Q320.jpg)
INTRODUCTION: The diagnosis of hematological diseases is based on the morphological differentiation of the peripheral blood cell types.OBJECTIVES: In this work, a hybrid model based on CNN features extraction and machine learning classifiers were proposed to improve peripheral blood cell image classification.METHODS: At first, a CNN model composed...
Cardiac structure segmentation from MRI images is a tedious, time-consuming task, made easy by automatic techniques. Lately, most researchers use deep learning-based techniques as an optimal solution, accomplishing remarkable results comparable to human experts, but they still have limitations that need to be reviewed and fixed. In this
paper, we w...
