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04/04/2023
A Brief Review of Explainable Artificial Intelligence in Healthcare
XAI refers to the techniques and methods for building AI applications wh...
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10/26/2022
Automated Diagnosis of Cardiovascular Diseases from Cardiac Magnetic Resonance Imaging Using Deep Learning Models: A Review
In recent years, cardiovascular diseases (CVDs) have become one of the l...
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10/26/2022
Automatic Diagnosis of Myocarditis Disease in Cardiac MRI Modality using Deep Transformers and Explainable Artificial Intelligence
Myocarditis is among the most important cardiovascular diseases (CVDs), ...
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05/31/2022
Automatic Diagnosis of Schizophrenia and Attention Deficit Hyperactivity Disorder in rs-fMRI Modality using Convolutional Autoencoder Model and Interval Type-2 Fuzzy Regression
Nowadays, many people worldwide suffer from brain disorders, and their h...
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09/12/2021
Accurate Prediction Using Triangular Type-2 Fuzzy Linear Regression
Many works have been done to handle the uncertainties in the data using ...
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09/12/2021
What happens in Face during a facial expression? Using data mining techniques to analyze facial expression motion vectors
One of the most common problems encountered in human-computer interactio...
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09/02/2021
Automatic Diagnosis of Schizophrenia using EEG Signals and CNN-LSTM Models
Schizophrenia (SZ) is a mental disorder whereby due to the secretion of ...
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05/29/2021
Applications of Epileptic Seizures Detection in Neuroimaging Modalities Using Deep Learning Techniques: Methods, Challenges, and Future Works
Epileptic seizures are a type of neurological disorder that affect many ...
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05/11/2021
Applications of Deep Learning Techniques for Automated Multiple Sclerosis Detection Using Magnetic Resonance Imaging: A Review
Multiple Sclerosis (MS) is a type of brain disease which causes visual, ...
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04/28/2021
Time Series Forecasting of New Cases and New Deaths Rate for COVID-19 using Deep Learning Methods
Covid-19 has been started in the year 2019 and imposed restrictions in m...
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04/24/2021
Automatic Diagnosis of COVID-19 from CT Images using CycleGAN and Transfer Learning
The outbreak of the corona virus disease (COVID-19) has changed the live...
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04/18/2021
CNN AE: Convolution Neural Network combined with Autoencoder approach to detect survival chance of COVID 19 patients
In this paper, we propose a novel method named CNN-AE to predict surviva...
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02/13/2021
Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images
The coronavirus (COVID-19) is currently the most common contagious disea...
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02/12/2021
Uncertainty-Aware Semi-supervised Method using Large Unlabelled and Limited Labeled COVID-19 Data
The new coronavirus has caused more than 1 million deaths and continues ...
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08/23/2020
Handling of uncertainty in medical data using machine learning and probability theory techniques: A review of 30 years (1991-2020)
Understanding data and reaching valid conclusions are of paramount impor...
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07/02/2020
Deep Learning for Neuroimaging-based Diagnosis and Rehabilitation of Autism Spectrum Disorder: A Review
Accurate diagnosis of Autism Spectrum Disorder (ASD) is essential for ma...
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07/02/2020
Epileptic seizure detection using deep learning techniques: A Review
A variety of screening approaches have been proposed to diagnose epilept...
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06/29/2020