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1.
Lung vessel volume evaluated with CALIPER software is an independent predictor of mortality in COVID-19 patients: a multicentric retrospective analysis.
Eur Radiol
; 32(6): 4314-4323, 2022 Jun.
Artículo
en Inglés
| MEDLINE | ID: mdl-35028751
2.
CT-derived Chest Muscle Metrics for Outcome Prediction in Patients with COVID-19.
Radiology
; 300(2): E328-E336, 2021 08.
Artículo
en Inglés
| MEDLINE | ID: mdl-33724065
3.
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.
Diagnostics (Basel)
; 13(11)2023 Jun 02.
Artículo
en Inglés
| MEDLINE | ID: mdl-37296806
4.
May an incidental finding on chest CT be a predictor of access in intensive care unit? Role of hepatic steatosis in patients affected by SARS-CoV-2.
J Public Health Res
; 11(4): 22799036221115779, 2022 Oct.
Artículo
en Inglés
| MEDLINE | ID: mdl-36407057
5.
COVLIAS 1.0Lesion vs. MedSeg: An Artificial Intelligence Framework for Automated Lesion Segmentation in COVID-19 Lung Computed Tomography Scans.
Diagnostics (Basel)
; 12(5)2022 May 21.
Artículo
en Inglés
| MEDLINE | ID: mdl-35626438
6.
COVLIAS 2.0-cXAI: Cloud-Based Explainable Deep Learning System for COVID-19 Lesion Localization in Computed Tomography Scans.
Diagnostics (Basel)
; 12(6)2022 Jun 16.
Artículo
en Inglés
| MEDLINE | ID: mdl-35741292
7.
Machine Learning to Predict In-Hospital Mortality in COVID-19 Patients Using Computed Tomography-Derived Pulmonary and Vascular Features.
J Pers Med
; 11(6)2021 Jun 03.
Artículo
en Inglés
| MEDLINE | ID: mdl-34204911
8.
COVLIAS 1.0 vs. MedSeg: Artificial Intelligence-Based Comparative Study for Automated COVID-19 Computed Tomography Lung Segmentation in Italian and Croatian Cohorts.
Diagnostics (Basel)
; 11(12)2021 Dec 15.
Artículo
en Inglés
| MEDLINE | ID: mdl-34943603
9.
Chest CT accuracy in diagnosing COVID-19 during the peak of the Italian epidemic: A retrospective correlation with RT-PCR testing and analysis of discordant cases.
Eur J Radiol
; 130: 109192, 2020 Sep.
Artículo
en Inglés
| MEDLINE | ID: mdl-32738464
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