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For: Cozzi A, Schiaffino S, Arpaia F, Della Pepa G, Tritella S, Bertolotti P, Menicagli L, Monaco CG, Carbonaro LA, Spairani R, Babaei Paskeh B, Sardanelli F. Chest x-ray in the COVID-19 pandemic: Radiologists' real-world reader performance. Eur J Radiol 2020;132:109272. [PMID: 32971326 DOI: 10.1016/j.ejrad.2020.109272] [Cited by in Crossref: 13] [Cited by in F6Publishing: 14] [Article Influence: 6.5] [Reference Citation Analysis]
Number Citing Articles
1 Yildirim M, Eroğlu O, Eroğlu Y, Çinar A, Cengil E. COVID-19 Detection on Chest X-ray Images with the Proposed Model Using Artificial Intelligence and Classifiers. New Gener Comput . [DOI: 10.1007/s00354-022-00172-4] [Reference Citation Analysis]
2 Shome D, Kar T, Mohanty SN, Tiwari P, Muhammad K, AlTameem A, Zhang Y, Saudagar AKJ. COVID-Transformer: Interpretable COVID-19 Detection Using Vision Transformer for Healthcare. Int J Environ Res Public Health 2021;18:11086. [PMID: 34769600 DOI: 10.3390/ijerph182111086] [Reference Citation Analysis]
3 Campagner A, Carobene A, Cabitza F. External validation of Machine Learning models for COVID-19 detection based on Complete Blood Count. Health Inf Sci Syst 2021;9:37. [PMID: 34721844 DOI: 10.1007/s13755-021-00167-3] [Reference Citation Analysis]
4 Brogna B, Bignardi E, Brogna C, Volpe M, Lombardi G, Rosa A, Gagliardi G, Capasso PFM, Gravino E, Maio F, Pane F, Picariello V, Buono M, Colucci L, Musto LA. A Pictorial Review of the Role of Imaging in the Detection, Management, Histopathological Correlations, and Complications of COVID-19 Pneumonia. Diagnostics (Basel) 2021;11:437. [PMID: 33806423 DOI: 10.3390/diagnostics11030437] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 6.0] [Reference Citation Analysis]
5 Salvatore C, Interlenghi M, Monti CB, Ippolito D, Capra D, Cozzi A, Schiaffino S, Polidori A, Gandola D, Alì M, Castiglioni I, Messa C, Sardanelli F. Artificial Intelligence Applied to Chest X-ray for Differential Diagnosis of COVID-19 Pneumonia. Diagnostics (Basel) 2021;11:530. [PMID: 33809625 DOI: 10.3390/diagnostics11030530] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
6 Karthik R, Menaka R, Hariharan M, Kathiresan GS. AI for COVID-19 Detection from Radiographs: Incisive Analysis of State of the Art Techniques, Key Challenges and Future Directions. Ing Rech Biomed 2021. [PMID: 34336141 DOI: 10.1016/j.irbm.2021.07.002] [Reference Citation Analysis]
7 Albrandt-Salmeron A, Espejo-Fonseca R, Roldan-Valadez E. Correlation between Chest X-Ray Severity in COVID-19 and Age in Mexican-Mestizo Patients: An Observational Cross-Sectional Study. Biomed Res Int 2021;2021:5571144. [PMID: 33997012 DOI: 10.1155/2021/5571144] [Reference Citation Analysis]
8 Martínez Redondo J, Comas Rodríguez C, Pujol Salud J, Crespo Pons M, García Serrano C, Ortega Bravo M, Palacín Peruga JM. Higher Accuracy of Lung Ultrasound over Chest X-ray for Early Diagnosis of COVID-19 Pneumonia. Int J Environ Res Public Health 2021;18:3481. [PMID: 33801638 DOI: 10.3390/ijerph18073481] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
9 Au-Yong I, Higashi Y, Giannotti E, Fogarty A, Morling JR, Grainge M, Race A, Juurlink I, Simmonds M, Briggs S, Cruikshank S, Hammond-Pears S, West J, Crooks CJ, Card T. Chest Radiograph Scoring Alone or Combined with Other Risk Scores for Predicting Outcomes in COVID-19. Radiology 2021;:210986. [PMID: 34519573 DOI: 10.1148/radiol.2021210986] [Reference Citation Analysis]
10 Chan JH, Li C. Learning from imbalanced COVID-19 chest X-ray (CXR) medical imaging data. Methods 2021:S1046-2023(21)00154-7. [PMID: 34090971 DOI: 10.1016/j.ymeth.2021.06.002] [Reference Citation Analysis]
11 Ackall G, Elmzoudi M, Yuan R, Chen C. An Exploration into the Detection of COVID-19 from Chest X-ray Scans Using the xRGM-NET Convolutional Neural Network. Technologies 2021;9:98. [DOI: 10.3390/technologies9040098] [Reference Citation Analysis]
12 Tricarico D, Calandri M, Barba M, Piatti C, Geninatti C, Basile D, Gatti M, Melis M, Veltri A. Convolutional Neural Network-Based Automatic Analysis of Chest Radiographs for the Detection of COVID-19 Pneumonia: A Prioritizing Tool in the Emergency Department, Phase I Study and Preliminary “Real Life” Results. Diagnostics 2022;12:570. [DOI: 10.3390/diagnostics12030570] [Reference Citation Analysis]
13 Pediconi F, Rizzo V, Schiaffino S, Cozzi A, Della Pepa G, Galati F, Catalano C, Sardanelli F. Visceral adipose tissue area predicts intensive care unit admission in COVID-19 patients. Obes Res Clin Pract 2021;15:89-92. [PMID: 33358147 DOI: 10.1016/j.orcp.2020.12.002] [Cited by in Crossref: 6] [Cited by in F6Publishing: 7] [Article Influence: 3.0] [Reference Citation Analysis]
14 Islam N, Ebrahimzadeh S, Salameh JP, Kazi S, Fabiano N, Treanor L, Absi M, Hallgrimson Z, Leeflang MM, Hooft L, van der Pol CB, Prager R, Hare SS, Dennie C, Spijker R, Deeks JJ, Dinnes J, Jenniskens K, Korevaar DA, Cohen JF, Van den Bruel A, Takwoingi Y, van de Wijgert J, Damen JA, Wang J, McInnes MD; Cochrane COVID-19 Diagnostic Test Accuracy Group. Thoracic imaging tests for the diagnosis of COVID-19. Cochrane Database Syst Rev 2021;3:CD013639. [PMID: 33724443 DOI: 10.1002/14651858.CD013639.pub4] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 6.0] [Reference Citation Analysis]
15 Nabavi S, Ejmalian A, Moghaddam ME, Abin AA, Frangi AF, Mohammadi M, Rad HS. Medical imaging and computational image analysis in COVID-19 diagnosis: A review. Comput Biol Med 2021;135:104605. [PMID: 34175533 DOI: 10.1016/j.compbiomed.2021.104605] [Reference Citation Analysis]
16 Reeves RA, Pomeranz C, Gomella AA, Gulati A, Metra B, Hage A, Lange S, Parekh M, Donuru A, Lakhani P, Sundaram B. Performance of a Severity Score on Admission Chest Radiograph in Predicting Clinical Outcomes in Hospitalized Patients with Coronavirus Disease (COVID-19). AJR Am J Roentgenol. 2020;. [PMID: 33112201 DOI: 10.2214/ajr.20.24801] [Cited by in Crossref: 5] [Cited by in F6Publishing: 6] [Article Influence: 2.5] [Reference Citation Analysis]
17 Monaco CG, Zaottini F, Schiaffino S, Villa A, Della Pepa G, Carbonaro LA, Menicagli L, Cozzi A, Carriero S, Arpaia F, Di Leo G, Astengo D, Rosenberg I, Sardanelli F. Chest x-ray severity score in COVID-19 patients on emergency department admission: a two-centre study. Eur Radiol Exp 2020;4:68. [PMID: 33319321 DOI: 10.1186/s41747-020-00195-w] [Cited by in Crossref: 4] [Cited by in F6Publishing: 5] [Article Influence: 2.0] [Reference Citation Analysis]
18 Dorr F, Chaves H, Serra MM, Ramirez A, Costa ME, Seia J, Cejas C, Castro M, Eyheremendy E, Fernández Slezak D, Farez MF; Study Collaborators. COVID-19 pneumonia accurately detected on chest radiographs with artificial intelligence. Intell Based Med 2020;3:100014. [PMID: 33230503 DOI: 10.1016/j.ibmed.2020.100014] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
19 Cecchini S, Di Rosa M, Soraci L, Fumagalli A, Misuraca C, Colombo D, Piomboni I, Carnevali F, Paci E, Galeazzi R, Giordano P, Fedecostante M, Cherubini A, Lattanzio F. Chest X-ray Score and Frailty as Predictors of In-Hospital Mortality in Older Adults with COVID-19. J Clin Med 2021;10:2965. [PMID: 34279449 DOI: 10.3390/jcm10132965] [Reference Citation Analysis]