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For: Giannitto C, Sposta FM, Repici A, Vatteroni G, Casiraghi E, Casari E, Ferraroli GM, Fugazza A, Sandri MT, Chiti A, Luca B. Chest CT in patients with a moderate or high pretest probability of COVID-19 and negative swab. Radiol Med 2020;125:1260-70. [PMID: 32862406 DOI: 10.1007/s11547-020-01269-w] [Cited by in Crossref: 15] [Cited by in F6Publishing: 14] [Article Influence: 7.5] [Reference Citation Analysis]
Number Citing Articles
1 Suehiro K. Preoperative assessment for scheduling surgery during the coronavirus disease pandemic. J Anesth 2021;35:378-83. [PMID: 33502589 DOI: 10.1007/s00540-021-02896-x] [Reference Citation Analysis]
2 Borghesi A, Sverzellati N, Polverosi R, Balbi M, Baratella E, Busso M, Calandriello L, Cortese G, Farchione A, Iezzi R, Palmucci S, Pulzato I, Rampinelli C, Romei C, Valentini A, Grassi R, Larici AR. Impact of the COVID-19 pandemic on the selection of chest imaging modalities and reporting systems: a survey of Italian radiologists. Radiol Med 2021. [PMID: 34196908 DOI: 10.1007/s11547-021-01385-1] [Reference Citation Analysis]
3 Manzo M, Pellino S. Fighting Together against the Pandemic: Learning Multiple Models on Tomography Images for COVID-19 Diagnosis. AI 2021;2:261-73. [DOI: 10.3390/ai2020016] [Cited by in Crossref: 9] [Cited by in F6Publishing: 1] [Article Influence: 9.0] [Reference Citation Analysis]
4 Granata V, Fusco R, Izzo F, Venanzio Setola S, Coppola M, Grassi R, Reginelli A, Cappabianca S, Grassi R, Petrillo A. Covid-19 infection in cancer patients: the management in a diagnostic unit. Radiol Oncol 2021;55:121-9. [PMID: 33675200 DOI: 10.2478/raon-2021-0010] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
5 Granata V, Fusco R, Vallone P, Setola SV, Picone C, Grassi F, Patrone R, Belli A, Izzo F, Petrillo A. Not only lymphadenopathy: case of chest lymphangitis assessed with MRI after COVID 19 vaccine. Infect Agent Cancer 2022;17:8. [PMID: 35300727 DOI: 10.1186/s13027-022-00419-1] [Reference Citation Analysis]
6 Dai M, Ouyang L, Yang F, Shi H, Wang J, Han X, Alwalid O, Cao Y, Yang D, Li Y, Zhu W, Liu J. Chest CT Imaging Features of Typical Covert COVID-19 Cases. Int J Med Sci 2021;18:2128-36. [PMID: 33859519 DOI: 10.7150/ijms.48614] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
7 Granata V, Fusco R, Setola SV, Galdiero R, Picone C, Izzo F, D'Aniello R, Miele V, Grassi R, Grassi R, Petrillo A. Lymphadenopathy after BNT162b2 Covid-19 Vaccine: Preliminary Ultrasound Findings. Biology (Basel) 2021;10:214. [PMID: 33799618 DOI: 10.3390/biology10030214] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 4.0] [Reference Citation Analysis]
8 Fusco R, Grassi R, Granata V, Setola SV, Grassi F, Cozzi D, Pecori B, Izzo F, Petrillo A. Artificial Intelligence and COVID-19 Using Chest CT Scan and Chest X-ray Images: Machine Learning and Deep Learning Approaches for Diagnosis and Treatment. J Pers Med 2021;11:993. [PMID: 34683133 DOI: 10.3390/jpm11100993] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
9 Chatzitofis A, Cancian P, Gkitsas V, Carlucci A, Stalidis P, Albanis G, Karakottas A, Semertzidis T, Daras P, Giannitto C, Casiraghi E, Sposta FM, Vatteroni G, Ammirabile A, Lofino L, Ragucci P, Laino ME, Voza A, Desai A, Cecconi M, Balzarini L, Chiti A, Zarpalas D, Savevski V. Volume-of-Interest Aware Deep Neural Networks for Rapid Chest CT-Based COVID-19 Patient Risk Assessment. Int J Environ Res Public Health 2021;18:2842. [PMID: 33799509 DOI: 10.3390/ijerph18062842] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 3.0] [Reference Citation Analysis]
10 Juengling FD, Maldonado A, Wuest F, Schindler TH. Identify. Quantify. Predict. Why Immunologists Should Widely Use Molecular Imaging for Coronavirus Disease 2019. Front Immunol 2021;12:568959. [PMID: 34054793 DOI: 10.3389/fimmu.2021.568959] [Reference Citation Analysis]
11 Rong Y, Wang F, Tian J, Liang X, Wang J, Li X, Zhang D, Liu J, Zeng H, Zhou Y, Shi Y. Clinical and CT features of mild-to-moderate COVID-19 cases after two sequential negative nucleic acid testing results: a retrospective analysis. BMC Infect Dis 2021;21:333. [PMID: 33832444 DOI: 10.1186/s12879-021-06013-x] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
12 Grassi R, Cappabianca S, Urraro F, Granata V, Giacobbe G, Magliocchetti S, Cozzi D, Fusco R, Galdiero R, Picone C, Belfiore MP, Reginelli A, Atripaldi U, Picascia O, Coppola M, Bignardi E, Grassi R, Miele V. Evolution of CT Findings and Lung Residue in Patients with COVID-19 Pneumonia: Quantitative Analysis of the Disease with a Computer Automatic Tool. J Pers Med 2021;11:641. [PMID: 34357108 DOI: 10.3390/jpm11070641] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
13 Tagliafico AS, Albano D, Torri L, Messina C, Gitto S, Bruno F, Barile A, Giovagnoni A, Miele V, Grassi R, Sconfienza LM. Impact of coronavirus disease 2019 (COVID-19) outbreak on radiology research: An Italian survey. Clin Imaging 2021;76:144-8. [PMID: 33601188 DOI: 10.1016/j.clinimag.2021.02.009] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
14 Kumar Singh V, Abdel-Nasser M, Pandey N, Puig D. LungINFseg: Segmenting COVID-19 Infected Regions in Lung CT Images Based on a Receptive-Field-Aware Deep Learning Framework. Diagnostics (Basel) 2021;11:158. [PMID: 33498999 DOI: 10.3390/diagnostics11020158] [Cited by in Crossref: 13] [Cited by in F6Publishing: 10] [Article Influence: 13.0] [Reference Citation Analysis]
15 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]
16 Zhang YD, Zhang Z, Zhang X, Wang SH. MIDCAN: A multiple input deep convolutional attention network for Covid-19 diagnosis based on chest CT and chest X-ray. Pattern Recognit Lett 2021;150:8-16. [PMID: 34276114 DOI: 10.1016/j.patrec.2021.06.021] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
17 Palumbo P, Palumbo MM, Bruno F, Picchi G, Iacopino A, Acanfora C, Sgalambro F, Arrigoni F, Ciccullo A, Cosimini B, Splendiani A, Barile A, Masedu F, Grimaldi A, Di Cesare E, Masciocchi C. Automated Quantitative Lung CT Improves Prognostication in Non-ICU COVID-19 Patients beyond Conventional Biomarkers of Disease. Diagnostics (Basel) 2021;11:2125. [PMID: 34829472 DOI: 10.3390/diagnostics11112125] [Reference Citation Analysis]
18 Maio F, Tari DU, Granata V, Fusco R, Grassi R, Petrillo A, Pinto F. Breast Cancer Screening during COVID-19 Emergency: Patients and Department Management in a Local Experience. J Pers Med 2021;11:380. [PMID: 34066425 DOI: 10.3390/jpm11050380] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
19 Phuong J, Hyland SL, Mooney SJ, Long DR, Takeda K, Vavilala MS, O'Hara K. Sociodemographic and clinical features predictive of SARS-CoV-2 test positivity across healthcare visit-types. PLoS One 2021;16:e0258339. [PMID: 34648552 DOI: 10.1371/journal.pone.0258339] [Reference Citation Analysis]
20 Fusco R, Simonetti I, Ianniello S, Villanacci A, Grassi F, Dell’aversana F, Grassi R, Cozzi D, Bicci E, Palumbo P, Borgheresi A, Giovagnoni A, Miele V, Barile A, Granata V. Pulmonary Lymphangitis Poses a Major Challenge for Radiologists in an Oncological Setting during the COVID-19 Pandemic. JPM 2022;12:624. [DOI: 10.3390/jpm12040624] [Reference Citation Analysis]
21 Granata V, Ianniello S, Fusco R, Urraro F, Pupo D, Magliocchetti S, Albarello F, Campioni P, Cristofaro M, Di Stefano F, Fusco N, Petrone A, Schininà V, Villanacci A, Grassi F, Grassi R, Grassi R. Quantitative Analysis of Residual COVID-19 Lung CT Features: Consistency among Two Commercial Software. J Pers Med 2021;11:1103. [PMID: 34834455 DOI: 10.3390/jpm11111103] [Reference Citation Analysis]