|
original article |
Date |
Title |
Authors All Authors |
1 |
[GO] |
2024―Dec―28 |
COVID-19 and flu diagnosis from short electrocardiogram images using a residual neural network |
Nayeon Kwon, Dongwon Lee, Yong-Hoon Yoon, Inchan Youn, Hyuk-June Moon, Sungmin Han |
2 |
[GO] |
2024―Dec―22 |
Investigation on super-resolution reconstruction of lung CT images for COVID-19 based on sequential images |
Fengjun Zhang, Le Gong |
3 |
[GO] |
2024―Nov―17 |
A novel optimized machine learning approach with texture rectified cross-attention based transformer for COVID-19 detection |
C. Binu Jeya Schafftar, A. Radhakrishnan, C. Emmy Prema |
4 |
[GO] |
2024―Nov―05 |
A design of computational stochastic framework for the mathematical severe acute respiratory syndrome coronavirus model |
Atifa Asghar, Mohsan Hassan, Zulqurnain Sabir, Shahid Ahmad Bhat, Sharifah E Alhazmi |
5 |
[GO] |
2024―Nov―03 |
An Optimized Wasserstein Deep Convolutional Generative Adversarial Network approach for the classification of COVID-19 and pneumonia |
A.B. Rajendra, B.S. Jayasri, S. Ramya, Shruthi Jagadish |
6 |
[GO] |
2024―Nov―02 |
IoT enabled smart healthcare system for COVID-19 classification using optimized robust spatiotemporal graph convolutional networks |
A. Velayudham, R. Karthick, A. Sivabalan, V. Sathya |
7 |
[GO] |
2024―Oct―23 |
Enhancing COVID-19 disease severity classification through advanced transfer learning techniques and optimal weight initialization schemes |
Tijana Geroski, Vesna Ranković, Ognjen Pavić, Lazar Dašić, Marina Petrović, Dragan Milovanović, Nenad Filipović |
8 |
[GO] |
2024―Oct―14 |
Robust multi-modal COVID-19 medical image registration using dense deep learning descriptor model |
Yallapu Srinivas, Madam Aravind Kumar |
9 |
[GO] |
2024―Oct―05 |
HCO-RLF: Hybrid classification optimization using recurrent learning and fuzzy for COVID-19 detection on CT images |
K. Balasamy, V. Seethalakshmi |
10 |
[GO] |
2024―Sep―13 |
LungXpertAI: A deep multi-task learning model for chest CT scan analysis and COVID-19 detection |
Shirin Kordnoori, Maliheh Sabeti, Hamidreza Mostafaei, Saeed Seyed Agha Banihashemi |
11 |
[GO] |
2024―Aug―09 |
Selection and classification of COVID-19 CT images using artificial intelligence: A case study in a Brazilian university hospital |
Isis D. Lins, Caio B.S. Maior, Leonardo S. Raupp, Monalisa C. Moura, Márcio C. Moura, Murilo A.A. Rodrigues, Tiago Jornada |
12 |
[GO] |
2024―Jul―12 |
COVID-19 disease detection using attention based Bi-Directional capsule network model |
Satya Sukumar Makkapati, N. Nagamalleswara Rao |
13 |
[GO] |
2024―Jun―08 |
COVID-HGS: Early severity prediction model of COVID-19 based on Hunger Game Search (HGS) optimization algorithm |
Safynaz AbdEl-Fattah Sayed, Abeer ElKorany, Sabah Sayed |
14 |
[GO] |
2024―May―25 |
A dynamic ensemble approach based on trend analysis to COVID-19 incidence forecast |
Jair Paulino de Sales, Paulo S.G. de Mattos Neto, Paulo R.A. Firmino |
15 |
[GO] |
2024―Apr―27 |
MIB-Net: Balance the mutual information flow in deep learning network for multi-dimensional segmentation of COVID-19 CT images |
Zikun Yang, Wenbo Qi, Shing Chow Chan, Ho Chun Wu |
16 |
[GO] |
2024―Apr―26 |
Enhancing COVID-19 diagnosis from lung CT scans using optimized quantum-inspired complex convolutional neural network with ResNeXt-50 |
R. Saranya, R. Jaichandran |
17 |
[GO] |
2024―Apr―11 |
GACEMV: An ensemble learning framework for constructing COVID-19 diagnosis and prognosis models |
Lei Sun, Yueyang Liu, Linjie Han, Yibin Chang, Minghui Du, Yongshan Zhao, Jinghai Zhang |
18 |
[GO] |
2024―Mar―16 |
STCNet: Alternating CNN and improved transformer network for COVID-19 CT image segmentation |
Peng Geng, Ziye Tan, Yimeng Wang, Wenran Jia, Ying Zhang, Hongjiang Yan |
19 |
[GO] |
2024―Mar―02 |
Attention induced multi-head convolutional neural network organization with MobileNetv1 transfer learning and COVID-19 diagnosis using jellyfish search optimization process on chest X-ray images |
M. Ramkumar, M.S. Gowtham, S. Syed Jamaesha, M. Vigenesh |
20 |
[GO] |
2024―Feb―28 |
U-TranSvision: Transformer-based deep supervision approach for COVID-19 lesion segmentation on Computed Tomography images |
Mahmut Ağralı, Volkan Kılıç |
21 |
[GO] |
2024―Feb―26 |
RT-PCR accuracy improvement for SARS-CoV-2 detection using deep neural networks |
Melih Gunay, Muhammad Sanwal |
22 |
[GO] |
2024―Feb―03 |
Recent developments in segmentation of COVID-19 CT images using deep-learning: An overview of models, techniques and challenges |
Ju Zhang, Changgan Ying, Zhiyi Ye, Dong Ma, Beng Wang, Yun Cheng |
23 |
[GO] |
2024―Jan―05 |
Multimodal deep learning model for Covid-19 detection |
Fadilul-lah Yassaanah Issahaku, Xiangwei Liu, Ke Lu, Xianwen Fang, Sumaiya Bashiru Danwana, Ernest Asimeng |
24 |
[GO] |
2024―Jan―05 |
Joint margin adaption and multiscale feature fusion for COVID-19 CT images segmentation |
Ying Chen, Wei Zhang, Taohui Zhou, Honping Lin, Ali Asghar Heidari, Huiling Chen, Lan Liu |
25 |
[GO] |
2023―Dec―07 |
BGSNet: A cascaded framework of boundary guided semantic for COVID-19 infection segmentation |
Ying Chen, Longfeng Feng, Hongping Lin, Wei Zhang, Wang Chen, Zonglai Zhou, Guohui Xu |
26 |
[GO] |
2023―Dec―06 |
Analysis of the Clever Hans effect in COVID-19 detection using Chest X-Ray images and Bayesian Deep Learning |
Julián D. Arias-Londoño, Juan I. Godino-Llorente |
27 |
[GO] |
2023―Dec―06 |
COVID-ECG-RSNet: COVID-19 classification from ECG images using swish-based improved ResNet model |
Marriam Nawaz, Sumera Saleem, Momina Masood, Junaid Rashid, Tahira Nazir |
28 |
[GO] |
2023―Nov―17 |
EAswin-unet: Segmenting CT images of COVID-19 with edge-fusion attention |
Guilin Zhan, Kai Qian, Wenyang Chen, Dandan Xue, Mengdi Li, Jun Zhang, Yonghang Tai |
29 |
[GO] |
2023―Nov―05 |
Deep learning based classification of COVID-19 severity using hierarchical deep maxout model |
M. Surya Bhupal Rao, Y. Mallikarjuna Rao, C. Venkataiah, G.L.N. Murthy, M. Dharani, Manjula Jayamma |
30 |
[GO] |
2023―Nov―01 |
Introducing the COVID-19 YouTube (COVYT) speech dataset featuring the same speakers with and without infection |
Andreas Triantafyllopoulos, Anastasia Semertzidou, Meishu Song, Florian B. Pokorny, Björn W. Schuller |
31 |
[GO] |
2023―Oct―07 |
Machine learning-based cardiac activity non-linear analysis for discriminating COVID-19 patients with different degrees of severity |
Pedro Ribeiro, João Alexandre Lobo Marques, Daniel Pordeus, Laíla Zacarias, Camila Ferreira Leite, Manoel Alves Sobreira-Neto, et al. (+4) Arnaldo Aires Peixoto, Adriel de Oliveira, João Paulo do Vale Madeiro, Pedro Miguel Rodrigues |
32 |
[GO] |
2023―Oct―04 |
Network-based analysis between SARS-CoV-2 receptor ACE2 and common host factors in COVID-19 and asthma: Potential mechanistic insights |
Qian Yan, Xue-Ying Lin, Cheng-Wen Peng, Wen-Jiang Zheng, Xiao-Hong Liu, Wu-Jin Wen, et al. (+3) Yong Jiang, Shao-Feng Zhan, Xiu-Fang Huang |
33 |
[GO] |
2023―Oct―03 |
Conditional cascaded network (CCN) approach for diagnosis of COVID-19 in chest X-ray and CT images using transfer learning |
Amr E. Eldin Rashed, Waleed M. Bahgat |
34 |
[GO] |
2023―Sep―30 |
A robust IoT-based cloud model for COVID-19 prediction using advanced machine learning technique |
Mohamed E. Elaraby, Ahmed A. Ewees, Ahmed M. Anter |
35 |
[GO] |
2023―Sep―21 |
Thoracal motion-based analysis of breathing patterns in individuals with a mild-moderate Covid-19 history using machine learning techniques: A single blinded multidisciplinary study on post-Covid |
İlke Kurt, Halit Selçuk, Sezer Ulukaya, Gülnur Öztürk, Hilal Keklicek |
36 |
[GO] |
2023―Sep―19 |
X-RCRNet: An explainable deep-learning network for COVID-19 detection using ECG beat signals |
Marc Junior Nkengue, Xianyi Zeng, Ludovic Koehl, Xuyuan Tao |
37 |
[GO] |
2023―Sep―19 |
An automated chest X-ray analysis for COVID-19, tuberculosis, and pneumonia employing ensemble learning approach |
Sareer Ul Amin, Sher Taj, Adnan Hussain, Sanghyun Seo |
38 |
[GO] |
2023―Jul―31 |
COVID-19 diagnosis with Deep Learning: Adjacent-pooling CTScan-COVID-19 Classifier Based on ResNet and CBAM |
Ali Deeb, Ahmad Debow, Saleem Mansour, Viacheslav Shkodyrev |
39 |
[GO] |
2023―Jun―16 |
Multi-threshold image segmentation using an enhanced fruit fly optimization for COVID-19 X-ray images |
Shuhui Hao, Changcheng Huang, Ali Asghar Heidari, Zhangze Xu, Huiling Chen, Eatedal Alabdulkreem, et al. (+2) Hela Elmannai, Xianchuan Wang |
40 |
[GO] |
2023―Jun―13 |
Finite-time stability analysis and control of stochastic SIR epidemic model: A study of COVID-19 |
Nallappan Gunasekaran, R. Vadivel, Guisheng Zhai, S. Vinoth |
41 |
[GO] |
2023―May―15 |
Optimized DEC: An Effective Cough Detection Framework using Optimal Weighted Features-aided Deep Ensemble Classifier for COVID-19 |
Muhammad Awais, Abhishek Bhuva, Dipen Bhuva, Saman Fatima, Touseef Sadiq |
42 |
[GO] |
2023―Apr―22 |
ADU-Net: An attention dense U-Net based deep supervised DNN for automated lesion segmentation of COVID-19 from chest CT images |
Sanjib Saha, Subhadeep Dutta, Biswarup Goswami, Debashis Nandi |
43 |
[GO] |
2023―Apr―22 |
Opportune Warning of COVID-19 in a Mexican Health Care Worker Cohort: Discrete Beta Distribution Entropy of Smartwatch Physiological Records |
Alejandro Aguado-García, América Arroyo-Valerio, Galileo Escobedo, Nallely Bueno-Hernández, P.V. Olguín-Rodríguez, Markus F. Müller, et al. (+2) José Damián Carrillo-Ruiz, Gustavo Martínez-Mekler |
44 |
[GO] |
2023―Apr―19 |
Kidney stone detection using an optimized Deep Believe network by fractional coronavirus herd immunity optimizer |
Chaohua Yan, Navid Razmjooy |
45 |
[GO] |
2023―Apr―10 |
Fully feature fusion based neural network for COVID-19 lesion segmentation in CT images |
Wei Li, Yangyong Cao, Shanshan Wang, Bolun Wan |
46 |
[GO] |
2023―Mar―22 |
Semi-Supervised COVID-19 Volumetric Pulmonary Lesion Estimation on CT Images using Probabilistic Active Contour and CNN Segmentation |
Diomar Enrique Rodriguez-Obregon, Aldo Rodrigo Mejia-Rodriguez, Leopoldo Cendejas-Zaragoza, Juan Gutiérrez Mejía, Edgar Román Arce-Santana, Sonia Charleston-Villalobos, et al. (+3) Tomas Aljama-Corrales, Alejandro Gabutti, Alejandro Santos-Díaz |
47 |
[GO] |
2023―Mar―21 |
SuperMini-seg: An ultra lightweight network for COVID-19 lung infection segmentation from CT images |
Yuan Yang, Lin Zhang, Lei Ren, Longfei Zhou, Xiaohan Wang |
48 |
[GO] |
2023―Mar―21 |
MTMC-AUR2CNet: Multi-textural multi-class attention recurrent residual convolutional neural network for COVID-19 classification using chest X-ray images |
Anandbabu Gopatoti, P. Vijayalakshmi |
49 |
[GO] |
2023―Mar―09 |
Comprehensive analysis of clinical data for COVID-19 outcome estimation with machine learning models |
Daniel I. Morís, Joaquim de Moura, Pedro J. Marcos, Enrique Míguez Rey, Jorge Novo, Marcos Ortega |
50 |
[GO] |
2023―Feb―24 |
STG-Net: A COVID-19 prediction network based on multivariate spatio-temporal information |
Yucheng Song, Huaiyi Chen, Xiaomeng Song, Zhifang Liao, Yan Zhang |
51 |
[GO] |
2023―Feb―23 |
Kalman-based compartmental estimation for covid-19 pandemic using advanced epidemic model |
Sumanta Kumar Nanda, Guddu Kumar, Vimal Bhatia, Abhinoy Kumar Singh |
52 |
[GO] |
2023―Feb―17 |
Broad learning solution for rapid diagnosis of COVID-19 |
Xiaowei Wang, Liying Cheng, Dan Zhang, Zuchen Liu, Longtao Jiang |
53 |
[GO] |
2023―Feb―17 |
An augmented Snake Optimizer for diseases and COVID-19 diagnosis |
Ruba Abu Khurma, Dheeb Albashish, Malik Braik, Abdullah Alzaqebah, Ashwaq Qasem, Omar Adwan |
54 |
[GO] |
2023―Feb―08 |
Self-Paced Multi-view Learning for CT-based severity assessment of COVID-19 |
Yishu Liu, Bingzhi Chen, Zheng Zhang, Hongbing Yu, Shouhang Ru, Xiaosheng Chen, Guangming Lu |
55 |
[GO] |
2023―Feb―01 |
Whale Optimization with Random Contraction and Rosenbrock Method for COVID-19 disease prediction |
Meilin Zhang, Qianxi Wu, Huiling Chen, Ali Asghar Heidari, Zhennao Cai, Jiaren Li, et al. (+2) Elsaid Md. Abdelrahim, Romany F. Mansour |
56 |
[GO] |
2023―Jan―02 |
D3SENet: A hybrid deep feature extraction network for Covid-19 classification using chest X-ray images |
Mustafa Kaya, Mustafa Eris |
57 |
[GO] |
2022―Dec―12 |
COVID-19 and human development: An approach for classification of HDI with deep CNN |
Gürkan Kavuran, Şeyma Gökhan, Celaleddin Yeroğlu |
58 |
[GO] |
2022―Dec―05 |
COVID-19 CT ground-glass opacity segmentation based on attention mechanism threshold |
Yunbo Rao, Qingsong Lv, Shaoning Zeng, Yuling Yi, Cheng Huang, Yun Gao, et al. (+2) Zhanglin Cheng, Jihong Sun |
59 |
[GO] |
2022―Nov―30 |
PulDi-COVID: Chronic Obstructive Pulmonary (Lung) Diseases With COVID-19 Classification Using Ensemble Deep Convolutional Neural Network From Chest X-Ray Images To Minimize Severity And Mortality Rates |
Yogesh H. Bhosale, K. Sridhar Patnaik |
60 |
[GO] |
2022―Nov―21 |
Optimal Ensemble Learning Model for COVID-19 detection using chest X-ray images |
S. Balasubramaniam, K. Satheesh Kumar |
61 |
[GO] |
2022―Nov―21 |
The SEIR model incorporating asymptomatic cases, behavioral measures, and lockdowns: Lesson learned from the COVID-19 flow in Sweden |
Muhamad Khairulbahri |
62 |
[GO] |
2022―Nov―08 |
Cov-TransNet: Dual branch fusion network with transformer for COVID-19 infection segmentation |
Yanjun Peng, Tong Zhang, Yanfei Guo |
63 |
[GO] |
2022―Oct―18 |
Automated diagnosis of COVID-19 using radiological modalities and Artificial Intelligence functionalities: A retrospective study based on chest HRCT database |
Upasana Bhattacharjya, Kandarpa Kumar Sarma, Jyoti Prakash Medhi, Binoy Kumar Choudhury, Geetanjali Barman |
64 |
[GO] |
2022―Sep―30 |
Deep learning models-based CT-scan image classification for automated screening of COVID-19 |
Kapil Gupta, Varun Bajaj |
65 |
[GO] |
2022―Sep―26 |
A teacher-student framework with Fourier Transform augmentation for COVID-19 infection segmentation in CT images |
Han Chen, Yifan Jiang, Hanseok Ko, Murray Loew |
66 |
[GO] |
2022―Sep―23 |
Identification and classification of coronavirus genomic signals based on linear predictive coding and machine learning methods |
Amin Khodaei, Parvaneh Shams, Hadi Sharifi, Behzad Mozaffari-Tazehkand |
67 |
[GO] |
2022―Sep―12 |
COVID-19 ground-glass opacity segmentation based on fuzzy c-means clustering and improved random walk algorithm |
Guowei Wang, Shuli Guo, Lina Han, Zhilei Zhao, Xiaowei Song |
68 |
[GO] |
2022―Aug―18 |
Weakly supervised segmentation of COVID-19 infection with local lesion coherence on CT images |
Wanchun Sun, Xin Feng, Jingyao Liu, Hui Ma |
69 |
[GO] |
2022―Aug―18 |
Multi-Objective T-S Fuzzy Control of Covid-19 Spread Model: An LMI Approach |
Reza Najarzadeh, Mohammad Hassan Asemani, Maryam Dehghani, Mokhtar Shasadeghi |
70 |
[GO] |
2022―Jul―15 |
COVID-19 chest X-ray detection through blending ensemble of CNN snapshots |
Avinandan Banerjee, Arya Sarkar, Sayantan Roy, Pawan Kumar Singh, Ram Sarkar |
71 |
[GO] |
2022―Jul―14 |
Deep learning-based approach for detecting COVID-19 in chest X-rays |
M. Emin Sahin |
72 |
[GO] |
2022―Jun―27 |
A comparison of the power of breathing sounds signals acquired with a smart stethoscope from a cohort of COVID-19 patients at peak disease, and pre-discharge from the hospital |
Nour Kasim, Noa Bachner-Hinenzon, Shay Brikman, Ori Cheshin, Doron Adler, Guy Dori |
73 |
[GO] |
2022―Jun―22 |
Two-dimensional reciprocal cross entropy multi-threshold combined with improved firefly algorithm for lung parenchyma segmentation of COVID-19 CT image |
Guowei Wang, Shuli Guo, Lina Han, Anil Baris Cekderi |
74 |
[GO] |
2022―Jun―22 |
Automated screening of COVID-19 using two-dimensional variational mode decomposition and locally linear embedding |
Liyuan Ma, Xipeng Xu, Changcai Cui, Jingyi Lu, Qifeng Hua, Hao Sun |
75 |
[GO] |
2022―Jun―21 |
A fast lightweight network for the discrimination of COVID-19 and pulmonary diseases |
Oussama Aiadi, Belal Khaldi |
76 |
[GO] |
2022―Jun―16 |
Identification of characteristics frequency and hot-spots in protein sequence of COVID-19 disease |
Vikas Pathak, Satyasai Jagannath Nanda, Amit Mahesh Joshi, Sitanshu Sekhar Sahu |
77 |
[GO] |
2022―Jun―08 |
CoviXNet: A novel and efficient deep learning model for detection of COVID-19 using chest X-Ray images |
Gaurav Srivastava, Aninditaa Chauhan, Mahesh Jangid, Sandeep Chaurasia |
78 |
[GO] |
2022―Jun―06 |
CXGNet: A Tri-phase Chest X-ray Image Classification for COVID-19 Diagnosis using Deep CNN with Enhanced Grey-wolf Optimizer |
Anandbabu Gopatoti, P. Vijayalakshmi |
79 |
[GO] |
2022―May―30 |
A Novel Method Using Covid-19 Dataset and Machine Learning Algorithms FOR THE MOST ACCURATE DIAGNOSIS That can be Obtained in Medical Diagnosis |
Emre Avuçlu |
80 |
[GO] |
2022―May―08 |
Classification and detection of COVID-19 X-Ray images based on DenseNet and VGG16 feature fusion |
Lingzhi Kong, Jinyong Cheng |
81 |
[GO] |
2022―May―02 |
A Novel Fusion based Convolutional Neural Network Approach for Classification of COVID-19 from Chest X-ray Images |
Anubhav Sharma, Karamjeet Singh, Deepika Koundal |
82 |
[GO] |
2022―May―02 |
CrodenseNet: An efficient parallel cross DenseNet for COVID-19 infection detection |
Jingdong Yang, Lei Zhang, Xinjun Tang |
83 |
[GO] |
2022―May―02 |
DCML: Deep Contrastive Mutual Learning for COVID-19 Recognition |
Hongbin Zhang, Weinan Liang, Chuanxiu Li, Qipeng Xiong, Haowei Shi, Lang Hu, Guangli Li |
84 |
[GO] |
2022―Apr―18 |
Audio texture analysis of COVID-19 cough, breath, and speech sounds |
Garima Sharma, Karthikeyan Umapathy, Sri Krishnan |
85 |
[GO] |
2022―Apr―18 |
Asymptomatic COVID-19 CT image denoising method based on wavelet transform combined with improved PSO |
Guowei Wang, Shuli Guo, Lina Han, Anil Baris Cekderi, Xiaowei Song, Zhilei Zhao |
86 |
[GO] |
2022―Apr―13 |
IoMT-fog-cloud based architecture for Covid-19 detection |
Khelili Mohamed Akram, Slatnia Sihem, Kazar Okba, Saad Harous |
87 |
[GO] |
2022―Apr―13 |
Deep feature fusion classification network (DFFCNet): Towards accurate diagnosis of COVID-19 using chest X-rays images |
Jingyao Liu, Wanchun Sun, Xuehua Zhao, Jiashi Zhao, Zhengang Jiang |
88 |
[GO] |
2022―Mar―25 |
Effectiveness evaluation of different feature extraction methods for classification of covid-19 from computed tomography images: A high accuracy classification study |
Farid Al-Areqi, Mehmet Zeki Konyar |
89 |
[GO] |
2022―Feb―23 |
Deep Multi-view Feature Learning for Detecting COVID-19 based on Chest X-ray Images |
Hamidreza Hosseinzadeh |
90 |
[GO] |
2022―Feb―16 |
COVID-19 CT image denoising algorithm based on adaptive threshold and optimized weighted median filter |
Shuli Guo, Guowei Wang, Lina Han, Xiaowei Song, Wentao Yang |
91 |
[GO] |
2022―Feb―07 |
Automated Lung Ultrasound Scoring for Evaluation of Coronavirus Disease 2019 Pneumonia Using Two-stage Cascaded Deep Learning Model |
Wenyu Xing, Chao He, Jiawei Li, Wei Qin, Minglei Yang, Guannan Li, et al. (+5) Qingli Li, Dean Ta, Gaofeng Wei, Wenfang Li, Jiangang Chen |
92 |
[GO] |
2022―Jan―26 |
Detection and Classification of COVID-19 Disease from X-ray Images Using Convolutional Neural Networks and Histogram of Oriented Gradients |
Aleka Melese Ayalew, Ayodeji Olalekan Salau, Bekalu Tadele Abeje, Belay Enyew |
93 |
[GO] |
2021―Dec―13 |
An efficient multi-thresholding based COVID-19 CT images segmentation approach using an improved equilibrium optimizer |
Essam H. Houssein, Bahaa El-din Helmy, Diego Oliva, Pradeep Jangir, M. Premkumar, Ahmed A. Elngar, Hassan Shaban |
94 |
[GO] |
2021―Dec―06 |
A fractal scaling analysis of the SARS-CoV-2 genome sequence |
M. Meraz, E.J. Vernon-Carter, E. Rodriguez, J. Alvarez-Ramirez |
95 |
[GO] |
2021―Dec―05 |
A novel Gray-Scale spatial exploitation learning Net for COVID-19 by crawling Internet resources |
Mohamed E. ElAraby, Omar M. Elzeki, Mahmoud Y. Shams, Amena Mahmoud, Hanaa Salem |
96 |
[GO] |
2021―Nov―24 |
Virtual Reality Visualization for Computerized COVID-19 Lesion Segmentation and Interpretation |
Adel Oulefki, Sos Agaian, Thaweesak Trongtirakul, Samir Benbelkacem, Djamel Aouam, Nadia Zenati-Henda, Mohamed lamine Abdelli |
97 |
[GO] |
2021―Nov―17 |
Virtual system for early detection of COVID-19 infection “Etaware-CDT-2020 prototype design” (corroborated by rRT-PCR data) |
Peter Mudiaga Etaware |
98 |
[GO] |
2021―Nov―15 |
Covid-19 Recognition from Cough Sounds Using Lightweight Separable-Quadratic Convolutional Network |
Mohammad Soltanian, Keivan Borna |
99 |
[GO] |
2021―Nov―09 |
A novel data augmentation based on Gabor filter and convolutional deep learning for improving the classification of COVID-19 chest X-Ray images |
Amir Hossein Barshooi, Abdollah Amirkhani |
100 |
[GO] |
2021―Nov―01 |
COVID-19 Diagnosis from Routine Blood Tests using Artificial Intelligence Techniques |
Samin Babaei Rikan, Amir Sorayaie Azar, Ali Ghafari, Jamshid Bagherzadeh Mohasefi, Habibollah Pirnejad |
101 |
[GO] |
2021―Nov―01 |
ENResNet: A novel residual neural network for chest X-ray enhancement based COVID-19 detection |
Swarup Kr Ghosh, Anupam Ghosh |
102 |
[GO] |
2021―Oct―22 |
CovXmlc: High performance COVID-19 detection on X-ray images using Multi-Model classification |
Sourabh Singh Verma, Ajay Prasad, Anil Kumar |
103 |
[GO] |
2021―Oct―08 |
Epidemic model dynamics and fuzzy neural-network optimal control with impulsive traveling and migrating: case study of COVID-19 vaccination |
C. Treesatayapun |
104 |
[GO] |
2021―Sep―23 |
A Deep Learning Based Approach for Automatic Detection of COVID-19 Cases using Chest X-Ray Images |
Abhijit Bhattacharyya, Divyanshu Bhaik, Sunil Kumar, Prayas Thakur, Rahul Sharma, Ram Bilas Pachori |
105 |
[GO] |
2021―Sep―13 |
Automated Detection of COVID-19 Cough |
Alberto Tena, Francesc Clarià, Francesc Solsona |
106 |
[GO] |
2021―Sep―02 |
Detection of COVID-19 Findings by the Local Interpretable Model-agnostic Explanations Method of Types-Based Activations Extracted from CNNs |
Mesut Toğaçar, Nedim Muzoğlu, Burhan Ergen, Bekir Sıddık Binboğa Yarman, Ahmet Mesrur Halefoğlu |
107 |
[GO] |
2021―Aug―25 |
COVID-19 Disease Identification from Chest CT Images using Empirical Wavelet Transformation and Transfer Learning |
Pramod Gaur, Vatsal Malaviya, Abhay Gupta, Gautam Bhatia, Ram Bilas Pachori, Divyesh Sharma |
108 |
[GO] |
2021―Jul―21 |
A Novel Deep Learning Based Method for COVID-19 Detection from CT Image |
SeyyedMohammad JavadiMoghaddam, Hossain Golamalinejad |
109 |
[GO] |
2021―Jul―21 |
Linear Parameter Varying Model of COVID-19 Pandemic Exploiting Basis Functions |
Roozbeh Abolpour, Sara Siamak, Mohsen Mohammadi, Parisa Moradi, Maryam Dehghani |
110 |
[GO] |
2021―Jul―07 |
A cognitive IoT-based framework for effective diagnosis of COVID-19 using multimodal data |
V P Jayachitra, S Nivetha, R Nivetha, R Harini |
111 |
[GO] |
2021―Jun―30 |
X-Ray and CT-Scan-Based Automated Detection and Classification of Covid-19 Using Convolutional Neural Networks (CNN) |
Samritika Thakur, Aman Kumar |
112 |
[GO] |
2021―Jun―23 |
Dense GAN and Multi-layer Attention based Lesion Segmentation Method for COVID-19 CT Images |
Ju Zhang, Lundun Yu, Decheng Chen, Weidong Pan, Chao Shi, Yan Niu, et al. (+3) Xinwei Yao, Xiaobin Xu, Yun Cheng |
113 |
[GO] |
2021―Jun―11 |
Automated detection of Covid-19 disease using deep fused features from chest radiography images |
Emine Uçar, Ümit Atila, Murat Uçar, Kemal Akyol |
114 |
[GO] |
2021―May―28 |
Deep Insight: Convolutional Neural Network and its Applications for COVID-19 Prognosis |
Nadeem Yousuf Khanday, Shabir Ahmad Sofi |
115 |
[GO] |
2021―May―27 |
A novel DeepNet model for the efficient detection of COVID-19 for symptomatic patients |
Alavikunhu Panthakkan, S.M. Anzar, Saeed Al Mansoori, Hussain Al Ahmad |
116 |
[GO] |
2021―May―19 |
A morphology-based radiological image segmentation approach for efficient screening of COVID-19 |
Shouvik Chakraborty, Kalyani Mali |
117 |
[GO] |
2021―May―14 |
Detection of COVID-19 in X-Ray Images by Classification of Bag of Visual Words Using Neural Networks |
Zahra Nabizadeh-Shahre-Babak, Nader Karimi, Pejman Khadivi, Roshanak Roshandel, Ali Emami, Shadrokh Samavi |
118 |
[GO] |
2021―May―11 |
Real-Time COVID-19 Diagnosis from X-Ray Images Using Deep CNN and Extreme Learning Machines Stabilized by Chimp Optimization Algorithm |
Tianqing Hu, Mohammad Khishe, Mokhtar Mohammadi, Gholam-Reza Parvizi, Sarkhel H. Taher Karim, Tarik A. Rashid |
119 |
[GO] |
2021―May―11 |
Academic stress detection on university students during COVID-19 outbreak by using an electronic nose and the galvanic skin response |
Cristhian Manuel Durán Acevedo, Jeniffer Katerine Carrillo Gómez, Camilo Andrés Albarracín Rojas |
120 |
[GO] |
2021―May―10 |
New strategy to control covid-19 pandemic using lead/lag compensator |
Musadaq A. Hadi, Zainab M. Amean |
121 |
[GO] |
2021―Apr―27 |
Reinforcement Learning-based Decision Support System for COVID-19 |
Regina Padmanabhan, Nader Meskin, Tamer Khattab, Mujahed Shraim, Mohammed Al-Hitmi |
122 |
[GO] |
2021―Apr―21 |
Ensemble-based Bag of Features for Automated Classification of Normal and COVID-19 CXR Images |
Amira S. Ashour, Merihan M. Eissa, Maram A. Wahba, Radwa A. Elsawy, Hamada Fathy Elgnainy, Mohamed Saeed Tolba, Waleed S. Mohamed |
123 |
[GO] |
2021―Apr―08 |
Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images |
Danial Sharifrazi, Roohallah Alizadehsani, Mohamad Roshanzamir, Javad Hassannataj Joloudari, Afshin Shoeibi, Mahboobeh Jafari, et al. (+10) Sadiq Hussain, Zahra Alizadeh Sani, Fereshteh Hasanzadeh, Fahime Khozeimeh, Abbas Khosravi, Saeid Nahavandi, Maryam Panahiazar, Assef Zare, Sheikh Mohammed Shariful Islam, U. Rajendra Acharya |
124 |
[GO] |
2021―Apr―02 |
Framework for Real-Time Detection and Identification of possible patients of COVID-19 at public places |
Bharati Peddinti, Amir Shaikh, Bhavya K.R., Nithin Kumar K.C. |
125 |
[GO] |
2021―Apr―02 |
Evaluation of COVID-19 chest computed tomography: a texture analysis based on three-dimensional entropy |
Andreia S. Gaudêncio, Pedro G. Vaz, Mirvana Hilal, Guillaume Mahé, Mathieu Lederlin, Anne Humeau-Heurtier, João M. Cardoso |
126 |
[GO] |
2021―Apr―02 |
Diagnosing Covid-19 Chest X-Rays with a Lightweight Truncated DenseNet with Partial Layer Freezing and Feature Fusion |
Francis Jesmar P. Montalbo |
127 |
[GO] |
2021―Apr―02 |
Automatic Diagnosis of Coronavirus (COVID-19) Using Shape and Texture Characteristics Extracted From X-Ray and CT-Scan Images |
Maryam Imani |
128 |
[GO] |
2021―Apr―01 |
A Fully Automated Deep Learning-based Network For Detecting COVID-19 from a New And Large Lung CT Scan Dataset |
Mohammad Rahimzadeh, Abolfazl Attar, Seyed Mohammad Sakhaei |
129 |
[GO] |
2021―Feb―21 |
Automatic Detection of COVID-19 Disease using U-Net Architecture Based Fully Convolutional Network |
Prasad Kalane, Sarika Patil, B.P. Patil, Davinder Pal Sharma |
130 |
[GO] |
2021―Feb―10 |
Coronavirus (COVID-19) Detection from Chest Radiology Images using Convolutional Neural Networks |
Ghulam Gilanie, Usama Ijaz Bajwa, Mustansar Mahmood Waraich, Mutyyba Asghar, Rehana Kousar, Adnan Kashif, et al. (+3) Rabab Shereen Aslam, Muhammad Mohsin Qasim, Hamza Rafique |
131 |
[GO] |
2021―Feb―10 |
Modeling and forecasting number of confirmed and death caused COVID-19 in IRAN: A Comparison of Time Series Forecasting Methods |
Nasrin Talkhi, Narges Akhavan Fatemi, Zahra Ataei, Mehdi Jabbari Nooghabi |
132 |
[GO] |
2020―Nov―26 |
Evaluation of the effect of different policies in the containment of epidemic spreads for the COVID-19 case |
Paolo Di Giamberardino, Daniela Iacoviello |
133 |
[GO] |
2020―Nov―19 |
Application of deep learning techniques for detection of COVID-19 cases using chest X-ray images: A comprehensive study |
Soumya Ranjan Nayak, Deepak Ranjan Nayak, Utkarsh Sinha, Vaibhav Arora, Ram Bilas Pachori |
134 |
[GO] |
2020―Nov―05 |
Control of COVID-19 System using A Novel Nonlinear Robust Control Algorithm |
Musadaq A. Hadi, Hazem I. Ali |
135 |
[GO] |
2020―Oct―06 |
MH-COVIDNet: Diagnosis of COVID-19 using Deep Neural Networks and Meta-heuristic-based Feature Selection on X-ray Images |
Murat Canayaz |
136 |
[GO] |
2020―Aug―15 |
An IoT-based Framework for Early Identification and Monitoring of COVID-19 Cases |
Mwaffaq Otoom, Nesreen Otoum, Mohammad A. Alzubaidi, Yousef Etoom, Rudaina Banihani |