| |
original article |
Date |
Title |
Authors All Authors |
| 1 |
[GO] |
2023―Dec―31 |
Fusing global features and local information for COVID-19 detection with X-ray images |
Meiao Wang, Zhangjun Wu, Xingxing Wang |
| 2 |
[GO] |
2023―May―19 |
A novel and accurate deep learning-based Covid-19 diagnostic model for heart patients |
Ahmed Hassan, Mohamed Elhoseny, Mohammed Kayed |
| 3 |
[GO] |
2023―Mar―25 |
Machine learning approach for detecting Covid-19 from speech signal using Mel frequency magnitude coefficient |
Sudhansu Sekhar Nayak, Anand D. Darji, Prashant K. Shah |
| 4 |
[GO] |
2022―Aug―03 |
MLCA2F: Multi-Level Context Attentional Feature Fusion for COVID-19 lesion segmentation from CT scans |
Ibtissam Bakkouri, Karim Afdel |
| 5 |
[GO] |
2022―Jul―22 |
Unconstrained face mask and face-hand interaction datasets: building a computer vision system to help prevent the transmission of COVID-19 |
Fevziye Irem Eyiokur, Hazım Kemal Ekenel, Alexander Waibel |
| 6 |
[GO] |
2022―Apr―25 |
A comparative study of medical image enhancement algorithms and quality assessment metrics on COVID-19 CT images |
Muhammad Waqar Mirza, Asif Siddiq, Ishtiaq Rasool Khan |
| 7 |
[GO] |
2022―Apr―21 |
EfficientMask-Net for face authentication in the era of COVID-19 pandemic |
Neda Azouji, Ashkan Sami, Mohammad Taheri |
| 8 |
[GO] |
2022―Mar―28 |
A Novel Threshold-Based Segmentation Method for Quantification of COVID-19 Lung Abnormalities |
Azrin Khan, Rachael Garner, Marianna La Rocca, Sana Salehi, Dominique Duncan |
| 9 |
[GO] |
2022―Mar―20 |
An adaptive feature extraction method for classification of Covid-19 X-ray images |
Zeynep Gündoğar, Furkan Eren |
| 10 |
[GO] |
2022―Mar―04 |
An improved immune plasma algorithm with a regional pandemic restriction |
Selcuk Aslan, Sercan Demirci |
| 11 |
[GO] |
2022―Jan―24 |
COVID-19 detection on chest radiographs using feature fusion based deep learning |
Fatih Bayram, Alaa Eleyan |
| 12 |
[GO] |
2022―Jan―12 |
SARS-CoV-2: theoretical analysis of the proposed algorithms to the enhancement and segmentation of high-resolution microscopy images-Part II |
Roberto Rodríguez, Brian A. Mondeja, Odalys Valdes, Sonia Resik, Ananayla Vizcaino, Emilio F. Acosta, et al. (+4) Yorexis González, Vivian Kourí, Angelina Díaz, María G. Guzmán |
| 13 |
[GO] |
2021―Nov―15 |
Efficient masked face recognition method during the COVID-19 pandemic |
Walid Hariri |
| 14 |
[GO] |
2021―Aug―16 |
Computer-aided detection of COVID-19 from CT scans using an ensemble of CNNs and KSVM classifier |
Bejoy Abraham, Madhu S. Nair |
| 15 |
[GO] |
2021―Jul―23 |
A deep learning framework using CNN and stacked Bi-GRU for COVID-19 predictions in India |
Sahil Ahuja, Nitin Arvind Shelke, Pawan Kumar Singh |
| 16 |
[GO] |
2021―Apr―24 |
SARS-CoV-2: enhancement and segmentation of high-resolution microscopy images-Part I |
Roberto Rodríguez, Brian A. Mondeja, Odalys Valdés, Sonia Resik, Ananayla Vizcaino, Emilio F. Acosta, et al. (+4) Yorexis González, Vivian Kourí, Angelina Díaz, María G. Guzmán |
| 17 |
[GO] |
2021―Jan―25 |
Forecasting of medical equipment demand and outbreak spreading based on deep long short-term memory network: the COVID-19 pandemic in Turkey |
Erdinç Koç, Muammer Türkoğlu |
| 18 |
[GO] |
2021―Jan―07 |
Evaluation of deep learning-based approaches for COVID-19 classification based on chest X-ray images |
Kamal KC, Zhendong Yin, Mingyang Wu, Zhilu Wu |
