CovidConvLSTM: A fuzzy ensemble model for COVID-19 detection from chest X-rays

Exploring the Effect of Image Enhancement Techniques on COVID-19 Detection using Chest X-rays Images

(2021) Tawsifur Rahman et al.   COMPUTERS IN BIOLOGY AND MEDICINE

CoVNet-19: A Deep Learning model for the detection and analysis of COVID-19 patients

(2021) Priyansh Kedia et al.   APPLIED SOFT COMPUTING

Choquet fuzzy integral-based classifier ensemble technique for COVID-19 detection

(2021) Subhrajit Dey et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Covid-19 Imaging Tools: How Big Data is Big?

(2021) KC Santosh et al.   JOURNAL OF MEDICAL SYSTEMS

Automated Detection of COVID-19 Cases on Radiographs using Shape-Dependent Fibonacci-p Patterns

(2021) Karen Panetta et al.   IEEE Journal of Biomedical and Health Informatics

Bi-Level Prediction Model for Screening COVID-19 Patients Using Chest X-Ray Images

(2021) Soham Das et al.   Big Data Research

Covid-19 imaging: A narrative review

(2021) Hanae Ramdani et al.   Annals of Medicine and Surgery

A CNN-LSTM network with multi-level feature extraction-based approach for automated detection of coronavirus from CT scan and X-ray images

(2021) Hamad Naeem et al.   APPLIED SOFT COMPUTING

Automated Diagnosis of Chest X-Ray for Early Detection of COVID-19 Disease

(2021) Ebrahim Mohammed Senan et al.   Computational and Mathematical Methods in Medicine

MRFGRO: a hybrid meta-heuristic feature selection method for screening COVID-19 using deep features

(2021) Arijit Dey et al.   Scientific Reports

COVID-19 Pneumonia Detection Using Optimized Deep Learning Techniques

(2021) Abul Bashar et al.   Diagnostics

Epileptic Seizure Detection in EEG Signals Using a Unified Temporal-Spectral Squeeze-and-Excitation Network

(2020) Yang Li et al.   IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING

AI-Driven Tools for Coronavirus Outbreak: Need of Active Learning and Cross-Population Train/Test Models on Multitudinal/Multimodal Data

(2020) K. C. Santosh   JOURNAL OF MEDICAL SYSTEMS

A Novel Medical Diagnosis model for COVID-19 infection detection based on Deep Features and Bayesian Optimization

(2020) Majid Nour et al.   APPLIED SOFT COMPUTING

COVID-19 detection using deep learning models to exploit Social Mimic Optimization and structured chest X-ray images using fuzzy color and stacking approaches

(2020) Mesut Toğaçar et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Application of deep learning technique to manage COVID-19 in routine clinical practice using CT images: Results of 10 convolutional neural networks

(2020) Ali Abbasian Ardakani et al.   COMPUTERS IN BIOLOGY AND MEDICINE

OptCoNet: an optimized convolutional neural network for an automatic diagnosis of COVID-19

(2020) Tripti Goel et al.   APPLIED INTELLIGENCE

Deep learning based detection and analysis of COVID-19 on chest X-ray images

(2020) Rachna Jain et al.   APPLIED INTELLIGENCE

EnsemConvNet: a deep learning approach for human activity recognition using smartphone sensors for healthcare applications

(2020) Debadyuti Mukherjee et al.   MULTIMEDIA TOOLS AND APPLICATIONS

COVID-19 image classification using deep features and fractional-order marine predators algorithm

(2020) Ahmed T. Sahlol et al.   Scientific Reports

CNN-based transfer learning–BiLSTM network: A novel approach for COVID-19 infection detection

(2020) Muhammet Fatih Aslan et al.   APPLIED SOFT COMPUTING

Deep learning approaches for COVID-19 detection based on chest X-ray images

(2020) Aras M. Ismael et al.   EXPERT SYSTEMS WITH APPLICATIONS

Machine Learning With the Sugeno Integral: The Case of Binary Classification

(2020) Sadegh Abbaszadeh et al.   IEEE TRANSACTIONS ON FUZZY SYSTEMS

Three-Stream Convolutional Neural Network with Squeeze-and-Excitation Block for Near-Infrared Facial Expression Recognition

(2019) Ying Chen et al.   Electronics

Correlational Convolutional LSTM for human action recognition

(2019) Mahshid Majd et al.   NEUROCOMPUTING

Deep Residual Squeeze and Excitation Network for Remote Sensing Image Super-Resolution

(2019) Jun Gu et al.   Remote Sensing

Deep Learning using Convolutional LSTM estimates Biological Age from Physical Activity

(2019) Syed Ashiqur Rahman et al.   Scientific Reports

Redundancy and Attention in Convolutional LSTM for Gesture Recognition

(2019) Guangming Zhu et al.   IEEE Transactions on Neural Networks and Learning Systems

Optimal deep learning model for classification of lung cancer on CT images

(2018) Lakshmanaprabu S.K. et al.   Future Generation Computer Systems-The International Journal of eScience