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08/14/2023
A Hybrid Deep Spatio-Temporal Attention-Based Model for Parkinson's Disease Diagnosis Using Resting State EEG Signals
Parkinson's disease (PD), a severe and progressive neurological illness,...
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07/13/2023
Full-resolution Lung Nodule Segmentation from Chest X-ray Images using Residual Encoder-Decoder Networks
Lung cancer is the leading cause of cancer death and early diagnosis is ...
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04/27/2023
Uncertainty Aware Neural Network from Similarity and Sensitivity
Researchers have proposed several approaches for neural network (NN) bas...
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01/19/2023
Remote patient monitoring using artificial intelligence: Current state, applications, and challenges
The adoption of artificial intelligence (AI) in healthcare is growing ra...
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12/31/2022
RECOMMED: A Comprehensive Pharmaceutical Recommendation System
A comprehensive pharmaceutical recommendation system was designed based ...
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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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10/25/2022
Classification and Self-Supervised Regression of Arrhythmic ECG Signals Using Convolutional Neural Networks
Interpretation of electrocardiography (ECG) signals is required for diag...
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09/27/2022
FedStack: Personalized activity monitoring using stacked federated learning
Recent advances in remote patient monitoring (RPM) systems can recognize...
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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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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...
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08/24/2021
MCUa: Multi-level Context and Uncertainty aware Dynamic Deep Ensemble for Breast Cancer Histology Image Classification
Breast histology image classification is a crucial step in the early dia...
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05/18/2021
UncertaintyFuseNet: Robust Uncertainty-aware Hierarchical Feature Fusion with Ensemble Monte Carlo Dropout for COVID-19 Detection
The COVID-19 (Coronavirus disease 2019) has infected more than 151 milli...
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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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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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11/12/2020
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges
Uncertainty quantification (UQ) plays a pivotal role in reduction of unc...
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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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02/12/2020
HAN-ECG: An Interpretable Atrial Fibrillation Detection Model Using Hierarchical Attention Networks
Atrial fibrillation (AF) is one of the most prevalent cardiac arrhythmia...
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03/05/2019
SleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach
Electroencephalogram (EEG) is a common base signal used to monitor brain...
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02/02/2017