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Original Artikel |
Datum |
Titel |
Autoren Alle Autoren |
| 1 |
[GO] |
2024―Jun―12 |
An automatic radiomic-based approach for disease localization: A pilot study on COVID-19 |
Giulia Varriano, Vittoria Nardone, Simona Correra, Francesco Mercaldo, Antonella Santone |
| 2 |
[GO] |
2022―Okt―07 |
Active deep learning from a noisy teacher for semi-supervised 3D image segmentation: Application to COVID-19 pneumonia infection in CT |
Mohammad Arafat Hussain, Zahra Mirikharaji, Mohammad Momeny, Mahmoud Marhamati, Ali Asghar Neshat, Rafeef Garbi, Ghassan Hamarneh |
| 3 |
[GO] |
2021―Okt―25 |
DenResCov-19: A deep transfer learning network for robust automatic classification of COVID-19, pneumonia, and tuberculosis from X-rays |
Michail Mamalakis, Andrew J. Swift, Bart Vorselaars, Surajit Ray, Simonne Weeks, Weiping Ding, et al. (+3) Richard H. Clayton, Louise S. Mackenzie, Abhirup Banerjee |
| 4 |
[GO] |
2021―Mai―15 |
Digital Imaging, Technologies and Artificial Intelligence Applications during COVID-19 pandemic |
Mustafa Alhasan, Mohamed Hasaneen |