| |
original article |
Date |
Title |
Authors Max. 6 Authors |
| 1 |
[GO] |
2025―Dec―15 |
Application of Generative Adversarial Networks to Improve COVID-19 Classification on Ultrasound Images |
Pedro Sérgio Tôrres Figueiredo Silva, Antonio Mauricio Ferreira Leite Miranda de Sá, Wagner Coelho de Albuquerque Pereira, Leonardo Bonato Felix, José Manoel de Seixas |
| 2 |
[GO] |
2025―Mar―03 |
GM-CBAM-ResNet: A Lightweight Deep Learning Network for Diagnosis of COVID-19 |
Junjiang Zhu, Yihui Zhang, Cheng Ma, Jiaming Wu, Xuchen Wang, Dongdong Kong |
| 3 |
[GO] |
2025―Feb―17 |
Non-Hospitalized Long COVID Patients Exhibit Reduced Retinal Capillary Perfusion: A Prospective Cohort Study |
Clayton E. Lyons, Jonathan Alhalel, Anna Busza, Emily Suen, Nathan Gill, Nicole Decker, Stephen Suchy, Zachary Orban, Millenia Jimenez, Gina Perez Giraldo, Igor J. Koralnik, Manjot K. Gill |
| 4 |
[GO] |
2024―Dec―19 |
X-Ray Image-Based Real-Time COVID-19 Diagnosis Using Deep Neural Networks (CXR-DNNs) |
Ali Yousuf Khan, Miguel-Angel Luque-Nieto, Muhammad Imran Saleem, Enrique Nava-Baro |
| 5 |
[GO] |
2024―Oct―14 |
Enhanced COVID-19 Detection from X-ray Images with Convolutional Neural Network and Transfer Learning |
Qanita Bani Baker, Mahmoud Hammad, Mohammed Al-Smadi, Heba Al-Jarrah, Rahaf Al-Hamouri, Sa’ad A. Al-Zboon |
| 6 |
[GO] |
2024―May―10 |
Bayesian Networks in the Management of Hospital Admissions: A Comparison between Explainable AI and Black Box AI during the Pandemic |
Giovanna Nicora, Michele Catalano, Chandra Bortolotto, Marina Francesca Achilli, Gaia Messana, Antonio Lo Tito, Alessio Consonni, Sara Cutti, Federico Comotto, Giulia Maria Stella, Angelo Corsico, Stefano Perlini, Riccardo Bellazzi, Raffaele Bruno, Lorenzo Preda |
| 7 |
[GO] |
2024―Feb―29 |
Enhancing COVID-19 Detection: An Xception-Based Model with Advanced Transfer Learning from X-ray Thorax Images |
Reagan E. Mandiya, Hervé M. Kongo, Selain K. Kasereka, Kyamakya Kyandoghere, Petro Mushidi Tshakwanda, Nathanaël M. Kasoro |
| 8 |
[GO] |
2024―Feb―09 |
Exploration of Interpretability Techniques for Deep COVID-19 Classification Using Chest X-ray Images |
Soumick Chatterjee, Fatima Saad, Chompunuch Sarasaen, Suhita Ghosh, Valerie Krug, Rupali Khatun, Rahul Mishra, Nirja Desai, Petia Radeva, Georg Rose, Sebastian Stober, Oliver Speck, Andreas Nürnberger |
| 9 |
[GO] |
2023―Dec―18 |
Enhancing COVID-19 CT Image Segmentation: A Comparative Study of Attention and Recurrence in UNet Models |
Rossana Buongiorno, Giulio Del Corso, Danila Germanese, Leonardo Colligiani, Lorenzo Python, Chiara Romei, Sara Colantonio |
| 10 |
[GO] |
2023―Aug―08 |
Biased Deep Learning Methods in Detection of COVID-19 Using CT Images: A Challenge Mounted by Subject-Wise-Split ISFCT Dataset |
Shiva Parsarad, Narges Saeedizadeh, Ghazaleh Jamalipour Soufi, Shamim Shafieyoon, Farzaneh Hekmatnia, Andrew Parviz Zarei, Samira Soleimany, Amir Yousefi, Hengameh Nazari, Pegah Torabi, Abbas S. Milani, Seyed Ali Madani Tonekaboni, Hossein Rabbani, Ali Hekmatnia, Rahele Kafieh |
| 11 |
[GO] |
2023―May―28 |
Transformative Effect of COVID-19 Pandemic on Magnetic Resonance Imaging Services in One Tertiary Cardiovascular Center |
Tatiana A. Shelkovnikova, Aleksandra S. Maksimova, Nadezhda I. Ryumshina, Olga V. Mochula, Valery K. Vaizov, Wladimir Y. Ussov, Nina D. Anfinogenova |
| 12 |
[GO] |
2023―Jan―30 |
Impact of Wavelet Kernels on Predictive Capability of Radiomic Features: A Case Study on COVID-19 Chest X-ray Images |
Francesco Prinzi, Carmelo Militello, Vincenzo Conti, Salvatore Vitabile |
| 13 |
[GO] |
2023―Jan―09 |
Social Media Devices’ Influence on User Neck Pain during the COVID-19 Pandemic: Collaborating Vertebral-GLCM Extracted Features with a Decision Tree |
Bassam Al-Naami, Bashar E. A. Badr, Yahia Z. Rawash, Hamza Abu Owida, Roberto De Fazio, Paolo Visconti |
| 14 |
[GO] |
2022―Dec―20 |
A Survey on Deep Learning in COVID-19 Diagnosis |
Xue Han, Zuojin Hu, Shuihua Wang, Yudong Zhang |
| 15 |
[GO] |
2022―Nov―24 |
Characterization of COVID-19-Related Lung Involvement in Patients Undergoing Magnetic Resonance T1 and T2 Mapping Imaging: A Pilot Study |
Giovanni Camastra, Luca Arcari, Federica Ciolina, Massimiliano Danti, Gerardo Ansalone, Luca Cacciotti, Stefano Sbarbati |
| 16 |
[GO] |
2022―Oct―09 |
Comprehensive Survey of Machine Learning Systems for COVID-19 Detection |
Bayan Alsaaidah, Moh’d Rasoul Al-Hadidi, Heba Al-Nsour, Raja Masadeh, Nael AlZubi |
| 17 |
[GO] |
2022―Sep―02 |
Comparison of Convolutional Neural Networks and Transformers for the Classification of Images of COVID-19, Pneumonia and Healthy Individuals as Observed with Computed Tomography |
Azucena Ascencio-Cabral, Constantino Carlos Reyes-Aldasoro |
| 18 |
[GO] |
2022―Mar―07 |
Review of Machine Learning in Lung Ultrasound in COVID-19 Pandemic |
Jing Wang, Xiaofeng Yang, Boran Zhou, James J. Sohn, Jun Zhou, Jesse T. Jacob, Kristin A. Higgins, Jeffrey D. Bradley, Tian Liu |
| 19 |
[GO] |
2022―Jan―26 |
Label-Free Detection of Human Coronaviruses in Infected Cells Using Enhanced Darkfield Hyperspectral Microscopy (EDHM) |
Devadatta Gosavi, Byron Cheatham, Joanna Sztuba-Solinska |
| 20 |
[GO] |
2021―Dec―01 |
Abdominal Computed Tomography Imaging Findings in Hospitalized COVID-19 Patients: A Year-Long Experience and Associations Revealed by Explainable Artificial Intelligence |
Alice Scarabelli, Massimo Zilocchi, Elena Casiraghi, Pierangelo Fasani, Guido Giovanni Plensich, Andrea Alessandro Esposito, Elvira Stellato, Alessandro Petrini, Justin Reese, Peter Robinson, Giorgio Valentini, Gianpaolo Carrafiello |
| 21 |
[GO] |
2021―Sep―21 |
Per-COVID-19: A Benchmark Dataset for COVID-19 Percentage Estimation from CT-Scans |
Fares Bougourzi, Cosimo Distante, Abdelkrim Ouafi, Fadi Dornaika, Abdenour Hadid, Abdelmalik Taleb-Ahmed |
| 22 |
[GO] |
2021―Aug―04 |
Customized Efficient Neural Network for COVID-19 Infected Region Identification in CT Images |
Alessandro Stefano, Albert Comelli |
| 23 |
[GO] |
2021―Apr―28 |
CORONA-Net: Diagnosing COVID-19 from X-ray Images Using Re-Initialization and Classification Networks |
Sherif Elbishlawi, Mohamed H. Abdelpakey, Mohamed S. Shehata, Mostafa M. Mohamed |
| 24 |
[GO] |
2021―Jan―11 |
Bayesian Learning of Shifted-Scaled Dirichlet Mixture Models and Its Application to Early COVID-19 Detection in Chest X-ray Images |
Sami Bourouis, Abdullah Alharbi, Nizar Bouguila |
