Research Projects of AI

 Revisiting the Conceptual Blending Theory by Fauconnier & Turner: A New Perspective
on Conceptual Blending Using the Mathematical Concept of Function
Mohsen Varzandeh
Shiraz University, Shiraz, Iran view

An artificial intelligence-based clinical decision support system for large kidney stone treatment. Dr. Hossein Parsaei

 Predicting the Postoperative Outcome of Percutaneous Nephrolithotomy with Machine Learning System: Software Validation and Comparative Analysis with Guy's Stone Score and the CROES Nomogram. Dr. Hossein Parsaei

SVM-based validation of motor unit potential trains extracted by EMG signal decomposition. Dr. Hossein Parsaei

3D cerebral MR image segmentation using multiple-classifier system. Dr. Hossein Parsaei

Rock squeezing prediction by a support vector machine classifier. Dr. Hossein Parsaei

A Multilayer Perceptron Neural Network–Based Model for Predicting Subjective Health Symptoms in People Living in the Vicinity of Mobile Phone Base Stations. Dr. Hossein Parsaei

Automatic segmentation of vertebrae in 3D CT images using adaptive fast 3D pulse coupled neural networks. Dr. Hossein Parsaei

An automated MR image segmentation system using multi-layer perceptron neural network. Dr. Hossein Parsaei

A Machine Learning-Based System for Detecting Leishmaniasis in Microscopic Images. Dr. Hossein Parsaei

COVID-19 Pandemic: How to Use Artificial Intelligence to Choose Non-Vulnerable Workers for Positions with the Highest Possible Levels of Exposure to the Novel Coronavirus. Dr. Hossein Parsaei

A machine learning model for predicting favorable outcome in severe traumatic brain injury patients after 6 months. Dr. Hossein Parsaei

Machine Learning Models for Predicting Breast Cancer Risk in Women Exposed to Blue Light from Digital Screens.  Dr. Hossein Parsaei

Artificial intelligence effectively predicts the COVID-19 death rate in different UK cities.  Dr. Hossein Parsaei

Medical image registration using deep neural networks: a comprehensive review. Dr. Alireza Mehdizadeh

Automated microaneurysms detection in retinal images using radon transform and supervised learning: application to mass screening of diabetic retinopathy. Dr. Alireza Mehdizadeh

Medical image registration using unsupervised deep neural network: A scoping literature review. Dr. Alireza Mehdizadeh

Segmentation of pancreatic ductal adenocarcinoma (PDAC) and surrounding vessels in CT images using deep convolutional neural networks and texture
descriptors. Dr. Tahereh Mahmoudi

Differentiation between Pancreatic Ductal Adenocarcinoma and Normal Pancreatic Tissue for Treatment Response Assessment using Multi-Scale Texture Analysis of CT Images.  Dr. Tahereh Mahmoudi

Hybrid classifcation of diffuse liver diseases in ultrasound images using
deep convolutional neural networks. Dr. Tahereh Mahmoudi

A deep learning approach for classification of the primary angle-closure disease spectrum based on anterior segment optical coherence tomography. Dr. Tahereh Mahmoudi

Automatic Choroid Vascularity Index Calculation in Optical Coherence Tomography Images with Low-Contrast Sclerochoroidal Junction Using Deep Learning. Dr. Tahereh Mahmoudi

Deep convolutional neural networks for filtering out normal frames in reviewing wireless capsule endoscopy videos. Dr. Tahereh Mahmoudi

Automated assessment of the smoothness of retinal layers in optical coherence tomography images using a machine learning algorithm. Dr. Tahereh Mahmoudi