Roohallah Alizadehsani | DeepAI

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Saeid Nahavandi
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U. Rajendra Acharya
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Afshin Shoeibi
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Jónathan Heras
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Panos M. Pardalos
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∙ 09/21/2023

Explainable Artificial Intelligence for Drug Discovery and Development – A Comprehensive Survey

The field of drug discovery has experienced a remarkable transformation ...

0 Roohallah Alizadehsani, et al. ∙

∙ 08/29/2023

AI Framework for Early Diagnosis of Coronary Artery Disease: An Integration of Borderline SMOTE, Autoencoders and Convolutional Neural Networks Approach

The accuracy of coronary artery disease (CAD) diagnosis is dependent on ...

0 Elham Nasarian, et al. ∙

∙ 04/27/2023

Uncertainty Aware Neural Network from Similarity and Sensitivity

Researchers have proposed several approaches for neural network (NN) bas...

0 H M Dipu Kabir, et al. ∙

∙ 04/04/2023

A Brief Review of Explainable Artificial Intelligence in Healthcare

XAI refers to the techniques and methods for building AI applications wh...

10 Zahra Sadeghi, et al. ∙

∙ 02/26/2023

Revolutionizing Genomics with Reinforcement Learning Techniques

In recent years, Reinforcement Learning (RL) has emerged as a powerful t...

0 Mohsen Karami, et al. ∙

∙ 12/24/2022

A Comprehensive Review on Autonomous Navigation

The field of autonomous mobile robots has undergone dramatic advancement...

0 Saeid Nahavandi, et al. ∙

∙ 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...

0 Mahboobeh Jafari, et al. ∙

∙ 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), ...

6 Mahboobeh Jafari, et al. ∙

∙ 03/23/2022

Resource allocation optimization using artificial intelligence methods in various computing paradigms: A Review

With the advent of smart devices, the demand for various computational p...

0 Javad Hassannataj Joloudari, et al. ∙

∙ 02/09/2022

FCM-DNN: diagnosing coronary artery disease by deep accuracy Fuzzy C-Means clustering model

Cardiovascular disease is one of the most challenging diseases in middle...

0 Javad Hassannataj Joloudari, et al. ∙

∙ 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 ...

0 Assef Zare, et al. ∙

∙ 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...

1 Mohamad Roshanzamir, et al. ∙

∙ 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 ...

15 Afshin Shoeibi, et al. ∙

∙ 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 ...

27 Afshin Shoeibi, et al. ∙

∙ 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, ...

4 Afshin Shoeibi, et al. ∙

∙ 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...

0 Nooshin Ayoobi, et al. ∙

∙ 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...

0 Fahime Khozeimeh, et al. ∙

∙ 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...

0 Danial Sharifrazi, et al. ∙

∙ 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 ...

0 Roohallah Alizadehsani, et al. ∙

∙ 12/22/2020

Objective Evaluation of Deep Uncertainty Predictions for COVID-19 Detection

Deep neural networks (DNNs) have been widely applied for detecting COVID...

13 Hamzeh Asgharnezhad, et al. ∙

∙ 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...

17 Roohallah Alizadehsani, et al. ∙

∙ 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...

9 Marjane Khodatars, et al. ∙

∙ 07/02/2020

Epileptic seizure detection using deep learning techniques: A Review

A variety of screening approaches have been proposed to diagnose epilept...

0 Afshin Shoeibi, et al. ∙

∙ 06/29/2020

Material Recognition for Automated Progress Monitoring using Deep Learning Methods

Recent advancements in Artificial intelligence, especially deep learning...

0 Navid Ghassemi, et al. ∙

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