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Lung vessel volume evaluated with CALIPER software is an independent predictor of mortality in COVID-19 patients: a multicentric retrospective analysis.
- Published in:
- European Radiology, 2022, v. 32, n. 6, p. 4314, doi. 10.1007/s00330-021-08485-6
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- Article
Machine Learning to Predict In-Hospital Mortality in COVID-19 Patients Using Computed Tomography-Derived Pulmonary and Vascular Features.
- Published in:
- Journal of Personalized Medicine, 2021, v. 11, n. 6, p. 501, doi. 10.3390/jpm11060501
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- Article
18 months computed tomography follow-up after Covid-19 interstitial pneumonia.
- Published in:
- Journal of Public Health Research, 2022, v. 11, n. 2, p. 239, doi. 10.4081/jphr.2022.2782
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- Article
Ensemble Deep Learning Derived from Transfer Learning for Classification of COVID-19 Patients on Hybrid Deep-Learning-Based Lung Segmentation: A Data Augmentation and Balancing Framework.
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- Diagnostics (2075-4418), 2023, v. 13, n. 11, p. 1954, doi. 10.3390/diagnostics13111954
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- Article
COVLIAS 2.0-cXAI: Cloud-Based Explainable Deep Learning System for COVID-19 Lesion Localization in Computed Tomography Scans.
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- Diagnostics (2075-4418), 2022, v. 12, n. 6, p. 1482, doi. 10.3390/diagnostics12061482
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- Article
COVLIAS 1.0 Lesion vs. MedSeg: An Artificial Intelligence Framework for Automated Lesion Segmentation in COVID-19 Lung Computed Tomography Scans.
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- Diagnostics (2075-4418), 2022, v. 12, n. 5, p. N.PAG, doi. 10.3390/diagnostics12051283
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- Article
COVLIAS 1.0 vs. MedSeg: Artificial Intelligence-Based Comparative Study for Automated COVID-19 Computed Tomography Lung Segmentation in Italian and Croatian Cohorts.
- Published in:
- Diagnostics (2075-4418), 2021, v. 11, n. 12, p. 2367, doi. 10.3390/diagnostics11122367
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- Article