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original article |
Date |
Title |
Authors All Authors |
1 |
[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, et al. (+9) Alessio Consonni, Sara Cutti, Federico Comotto, Giulia Maria Stella, Angelo Corsico, Stefano Perlini, Riccardo Bellazzi, Raffaele Bruno, Lorenzo Preda |
2 |
[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 |
3 |
[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, et al. (+7) Rahul Mishra, Nirja Desai, Petia Radeva, Georg Rose, Sebastian Stober, Oliver Speck, Andreas Nürnberger |
4 |
[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 |
5 |
[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, et al. (+9) Samira Soleimany, Amir Yousefi, Hengameh Nazari, Pegah Torabi, Abbas S. Milani, Seyed Ali Madani Tonekaboni, Hossein Rabbani, Ali Hekmatnia, Rahele Kafieh |
6 |
[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 |
7 |
[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 |
8 |
[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 |
9 |
[GO] |
2022―Dec―20 |
A Survey on Deep Learning in COVID-19 Diagnosis |
Xue Han, Zuojin Hu, Shuihua Wang, Yudong Zhang |
10 |
[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 |
11 |
[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 |
12 |
[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 |
13 |
[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, et al. (+3) Kristin A. Higgins, Jeffrey D. Bradley, Tian Liu |
14 |
[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 |
15 |
[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, et al. (+6) Elvira Stellato, Alessandro Petrini, Justin Reese, Peter Robinson, Giorgio Valentini, Gianpaolo Carrafiello |
16 |
[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 |
17 |
[GO] |
2021―Aug―04 |
Customized Efficient Neural Network for COVID-19 Infected Region Identification in CT Images |
Alessandro Stefano, Albert Comelli |
18 |
[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 |
19 |
[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 |