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original article |
Date |
Title |
Authors All Authors |
| 1 |
[GO] |
2024―Jun―28 |
Modeling and control of COVID-19 disease using deep reinforcement learning method |
Nazanin Ghazizadeh, Sajjad Taghvaei, Seyyed Arash Haghpanah |
| 2 |
[GO] |
2024―May―07 |
FACNN: fuzzy-based adaptive convolution neural network for classifying COVID-19 in noisy CXR images |
Suganyadevi S., Seethalakshmi V. |
| 3 |
[GO] |
2024―Mar―13 |
An AI healthcare ecosystem framework for Covid-19 detection and forecasting using CronaSona |
Samah A. Z. Hassan |
| 4 |
[GO] |
2024―Feb―03 |
GIFNet: an effective global infection feature network for automatic COVID-19 lung lesions segmentation |
Anita Murmu, Piyush Kumar |
| 5 |
[GO] |
2023―Dec―21 |
Identification of key gene expression associated with quality of life after recovery from COVID-19 |
JingXin Ren, Qian Gao, XianChao Zhou, Lei Chen, Wei Guo, KaiYan Feng, et al. (+2) Tao Huang, Yu-Dong Cai |
| 6 |
[GO] |
2023―Dec―14 |
IoT-based COVID-19 detection using recalling-enhanced recurrent neural network optimized with golden eagle optimization algorithm |
Karthick S |
| 7 |
[GO] |
2023―Nov―18 |
Insights from 3D modeling and fluid dynamics in COVID-19 pneumonia |
M. Kürşat Gökcan, D. Funda Kurtuluş, Adalet Aypak, Murathan Köksal, Sarper R. Ökten |
| 8 |
[GO] |
2023―Jun―14 |
Forecasting and what-if analysis of new positive COVID-19 cases during the first three waves in Italy |
Serena De Ruvo, Gianvito Pio, Gennaro Vessio, Vincenzo Volpe |
| 9 |
[GO] |
2023―Feb―24 |
MSCCov19Net: multi-branch deep learning model for COVID-19 detection from cough sounds |
Sezer Ulukaya, Ahmet Alp Sarıca, Oğuzhan Erdem, Ali Karaali |
| 10 |
[GO] |
2023―Jan―31 |
PneuNet: deep learning for COVID-19 pneumonia diagnosis on chest X-ray image analysis using Vision Transformer |
Tianmu Wang, Zhenguo Nie, Ruijing Wang, Qingfeng Xu, Hongshi Huang, Handing Xu, et al. (+2) Fugui Xie, Xin-Jun Liu |
| 11 |
[GO] |
2023―Jan―28 |
A survey of machine learning-based methods for COVID-19 medical image analysis |
Kashfia Sailunaz, Tansel Özyer, Jon Rokne, Reda Alhajj |
| 12 |
[GO] |
2023―Jan―20 |
COVID-19’s influence on cardiac function: a machine learning perspective on ECG analysis |
Juliana Carneiro Gomes, Maíra Araújo de Santana, Aras Ismael Masood, Clarisse Lins de Lima, Wellington Pinheiro dos Santos |
| 13 |
[GO] |
2022―Oct―24 |
Correction to: Integrated Bayesian and association-rules methods for autonomously orienting COVID-19 patients |
Adel Thaljaoui, Salim El Khediri, Emna Benmohamed, Abdulatif Alabdulatif, Abdullah Alourani |
| 14 |
[GO] |
2022―Oct―07 |
Integrated Bayesian and association-rules methods for autonomously orienting COVID-19 patients |
Adel Thaljaoui, Salim El Khediri, Emna Benmohamed, Abdulatif Alabdulatif, Abdullah Alourani |
| 15 |
[GO] |
2022―Oct―06 |
Neural-Symbolic Ensemble Learning for early-stage prediction of critical state of Covid-19 patients |
Arnaud Nguembang Fadja, Michele Fraccaroli, Alice Bizzarri, Giulia Mazzuchelli, Evelina Lamma |
| 16 |
[GO] |
2022―Sep―15 |
On nonlinear dynamics of COVID-19 disease model corresponding to nonsingular fractional order derivative |
Muhammad Arfan, Maha M. A. Lashin, Pongsakorn Sunthrayuth, Kamal Shah, Aman Ullah, Kulpash Iskakova, et al. (+2) M. R. Gorji, Thabet Abdeljawad |
| 17 |
[GO] |
2022―Aug―12 |
COVID-19 diagnosis using chest CT scans and deep convolutional neural networks evolved by IP-based sine-cosine algorithm |
Binfeng Xu, Diego Martín, Mohammad Khishe, Reza Boostani |
| 18 |
[GO] |
2022―Jul―19 |
Two-stage hybrid network for segmentation of COVID-19 pneumonia lesions in CT images: a multicenter study |
Yaxin Shang, Zechen Wei, Hui Hui, Xiaohu Li, Liang Li, Yongqiang Yu, et al. (+13) Ligong Lu, Li Li, Hongjun Li, Qi Yang, Meiyun Wang, Meixiao Zhan, Wei Wang, Guanghao Zhang, Xiangjun Wu, Li Wang, Jie Liu, Jie Tian, Yunfei Zha |
| 19 |
[GO] |
2022―Jul―14 |
Classification of COVID-19 from tuberculosis and pneumonia using deep learning techniques |
Lokeswari Venkataramana, D. Venkata Vara Prasad, S. Saraswathi, C. M. Mithumary, R. Karthikeyan, N. Monika |
| 20 |
[GO] |
2022―Jul―01 |
Image registration of computed tomography of lung infected with COVID-19 using an improved sine cosine algorithm |
Hedifa Dida, Fella Charif, Abderrazak Benchabane |
| 21 |
[GO] |
2022―Jun―06 |
Classification of SARS-CoV-2 viral genome sequences using Neurochaos Learning |
N. B. Harikrishnan, S. Y. Pranay, Nithin Nagaraj |
| 22 |
[GO] |
2022―May―11 |
Who was at risk for COVID-19 late in the US pandemic? Insights from a population health machine learning model |
Elijah A. Adeoye, Yelena Rozenfeld, Jennifer Beam, Karen Boudreau, Emily J. Cox, James M. Scanlan |
| 23 |
[GO] |
2022―May―04 |
Efficient analysis of COVID-19 clinical data using machine learning models |
Sarwan Ali, Yijing Zhou, Murray Patterson |
| 24 |
[GO] |
2022―Apr―25 |
Building a predictive model to identify clinical indicators for COVID-19 using machine learning method |
Xinlei Deng, Han Li, Xin Liao, Zhiqiang Qin, Fan Xu, Samantha Friedman, et al. (+3) Gang Ma, Kun Ye, Shao Lin |
| 25 |
[GO] |
2022―Apr―14 |
Analysis of COVID-19 inpatients in France during first lockdown of 2020 using explainability methods |
Jean-Baptiste Excoffier, Noémie Salaün-Penquer, Matthieu Ortala, Mathilde Raphaël-Rousseau, Christos Chouaid, Camille Jung |
| 26 |
[GO] |
2022―Apr―08 |
COVID-CCD-Net: COVID-19 and colon cancer diagnosis system with optimized CNN hyperparameters using gradient-based optimizer |
Soner Kiziloluk, Eser Sert |
| 27 |
[GO] |
2022―Mar―30 |
A robust and parsimonious machine learning method to predict ICU admission of COVID-19 patients |
Lorenzo Famiglini, Andrea Campagner, Anna Carobene, Federico Cabitza |
| 28 |
[GO] |
2022―Mar―25 |
NICOV : a model to analyse impact of nutritional status and immunity on COVID-19 |
Zakir Hussain, Malaya Dutta Borah |
| 29 |
[GO] |
2022―Mar―22 |
Challenges and solutions for the integrated recovery room planning and scheduling problem during COVID-19 pandemic |
Marouene Chaieb, Dhekra Ben Sassi, Jaber Jemai, Khaled Mellouli |
| 30 |
[GO] |
2022―Feb―16 |
Exploring diet associations with Covid-19 and other diseases: a Network Analysis-based approach |
Rashmeet Toor, Inderveer Chana |
| 31 |
[GO] |
2022―Feb―12 |
Simulation of the COVID-19 patient flow and investigation of the future patient arrival using a time-series prediction model: a real-case study |
Mahdieh Tavakoli, Reza Tavakkoli-Moghaddam, Reza Mesbahi, Mohssen Ghanavati-Nejad, Amirreza Tajally |
| 32 |
[GO] |
2022―Feb―11 |
Predicting the necessity of oxygen therapy in the early stage of COVID-19 using machine learning |
Sara Saadatmand, Khodakaram Salimifard, Reza Mohammadi, Maryam Marzban, Ahmad Naghibzadeh-Tahami |
| 33 |
[GO] |
2022―Jan―07 |
Predicting SARS-CoV-2 infection duration at hospital admission:a deep learning solution |
Piergiuseppe Liuzzi, Silvia Campagnini, Chiara Fanciullacci, Chiara Arienti, Michele Patrini, Maria Chiara Carrozza, Andrea Mannini |
| 34 |
[GO] |
2021―Oct―27 |
Pandemic tele-smart: a contactless tele-health system for efficient monitoring of remotely located COVID-19 quarantine wards in India using near-field communication and natural language processing system |
Vishal Balasubramanian, Sapthagirivasan Vivekanandhan, Venkatesh Mahadevan |
| 35 |
[GO] |
2021―Jul―22 |
Computational predictions for protein sequences of COVID-19 virus via machine learning algorithms |
Heba M. Afify, Muhammad S. Zanaty |
| 36 |
[GO] |
2021―Mar―18 |
Transfer learning-based ensemble support vector machine model for automated COVID-19 detection using lung computerized tomography scan data |
Mukul Singh, Shrey Bansal, Sakshi Ahuja, Rahul Kumar Dubey, Bijaya Ketan Panigrahi, Nilanjan Dey |
