[1]
|
Multiresolution analysis for COVID-19 diagnosis from chest CT images: wavelet vs. contourlet transforms
Multimedia Tools and Applications,
2024
DOI:10.1007/s11042-023-15485-9
|
|
|
[2]
|
Interpretable Machine Learning for COVID-19: An Empirical Study on Severity Prediction Task
IEEE Transactions on Artificial Intelligence,
2023
DOI:10.1109/TAI.2021.3092698
|
|
|
[3]
|
Improvement of the AI-Based Estimation of Significant Wave Height Based on Preliminary Training on Synthetic X-Band Radar Sea Clutter Images
Moscow University Physics Bulletin,
2023
DOI:10.3103/S0027134923070275
|
|
|
[4]
|
Multiresolution analysis for COVID-19 diagnosis from chest CT images: wavelet vs. contourlet transforms
Multimedia Tools and Applications,
2023
DOI:10.1007/s11042-023-15485-9
|
|
|
[5]
|
Automatic diagnosis of COVID-19 from CT images using CycleGAN and transfer learning
Applied Soft Computing,
2023
DOI:10.1016/j.asoc.2023.110511
|
|
|
[6]
|
Interpretable Machine Learning for COVID-19: An Empirical Study on Severity Prediction Task
IEEE Transactions on Artificial Intelligence,
2023
DOI:10.1109/TAI.2021.3092698
|
|
|
[7]
|
Explainable Machine Learning for Multimedia Based Healthcare Applications
2023
DOI:10.1007/978-3-031-38036-5_11
|
|
|
[8]
|
Automatic diagnosis of COVID-19 from CT images using CycleGAN and transfer learning
Applied Soft Computing,
2023
DOI:10.1016/j.asoc.2023.110511
|
|
|
[9]
|
Review and classification of AI-enabled COVID-19 CT imaging models based on computer vision tasks
Computers in Biology and Medicine,
2022
DOI:10.1016/j.compbiomed.2021.105123
|
|
|
[10]
|
Deep Learning Models for the Diagnosis and Screening of COVID-19: A Systematic Review
SN Computer Science,
2022
DOI:10.1007/s42979-022-01326-3
|
|
|
[11]
|
Review and classification of AI-enabled COVID-19 CT imaging models based on computer vision tasks
Computers in Biology and Medicine,
2022
DOI:10.1016/j.compbiomed.2021.105123
|
|
|
[12]
|
EDNC: Ensemble Deep Neural Network for COVID-19 Recognition
Tomography,
2022
DOI:10.3390/tomography8020071
|
|
|
[13]
|
Prognostic Models in Healthcare: AI and Statistical Approaches
Studies in Big Data,
2022
DOI:10.1007/978-981-19-2057-8_4
|
|
|
[14]
|
On the benchmarking of ResNet forgery image model using different datasets
2022 Human-Centered Cognitive Systems (HCCS),
2022
DOI:10.1109/HCCS55241.2022.10090275
|
|
|
[15]
|
Global and local interpretation of black-box machine learning models to determine prognostic factors from early COVID-19 data
17th International Symposium on Medical Information Processing and Analysis,
2021
DOI:10.1117/12.2604743
|
|
|
[16]
|
Transfer learning-based approach for detecting COVID-19 ailment in lung CT scan
Computers in Biology and Medicine,
2021
DOI:10.1016/j.compbiomed.2021.104575
|
|
|
[17]
|
Covid-19 Detection Using Chest Computed Tomography Scans on Ecuadorian Patients Who Live in the Highland Region
2021 8th International Conference on Biomedical and Bioinformatics Engineering,
2021
DOI:10.1145/3502871.3502873
|
|
|
[18]
|
Checklist for responsible deep learning modeling of medical images based on COVID-19 detection studies
Pattern Recognition,
2021
DOI:10.1016/j.patcog.2021.108035
|
|
|
[19]
|
Biomedical Engineering Tools for Management for Patients with COVID-19
2021
DOI:10.1016/B978-0-12-824473-9.00001-X
|
|
|
[20]
|
Transfer learning-based approach for detecting COVID-19 ailment in lung CT scan
Computers in Biology and Medicine,
2021
DOI:10.1016/j.compbiomed.2021.104575
|
|
|
[21]
|
COVID‐19 diagnosis on CT scan images using a generative adversarial network and concatenated feature pyramid network with an attention mechanism
Medical Physics,
2021
DOI:10.1002/mp.15044
|
|
|
[22]
|
Covid-19 Detection Using Chest Computed Tomography Scans on Ecuadorian Patients Who Live in the Highland Region
2021 8th International Conference on Biomedical and Bioinformatics Engineering,
2021
DOI:10.1145/3502871.3502873
|
|
|
[23]
|
Transfer learning-based approach for detecting COVID-19 ailment in lung CT scan
Computers in Biology and Medicine,
2021
DOI:10.1016/j.compbiomed.2021.104575
|
|
|