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COVID Antworten in den wissenschaftlichen Zeitschriften der Welt


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MDPI AG: Journal of Imaging
  Original Artikel Datum Titel Autoren   Alle Autoren
1 [GO] 2025―Dez―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―Mrz―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, et al. (+6)
4 [GO] 2024―Dez―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―Okt―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―Mai―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)
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, et al. (+7)
9 [GO] 2023―Dez―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, et al. (+9)
11 [GO] 2023―Mai―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―Dez―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―Okt―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―Mrz―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)
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―Dez―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)
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
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