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For: Li K, Wu J, Wu F, Guo D, Chen L, Fang Z, Li C. The Clinical and Chest CT Features Associated With Severe and Critical COVID-19 Pneumonia. Invest Radiol. 2020;55:327-331. [PMID: 32118615 DOI: 10.1097/rli.0000000000000672] [Cited by in Crossref: 472] [Cited by in F6Publishing: 320] [Article Influence: 236.0] [Reference Citation Analysis]
Number Citing Articles
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2 Saburi A, Schoepf UJ, Ulversoy KA, Jafari R, Eghbal F, Ghanei M. From Radiological Manifestations to Pulmonary Pathogenesis of COVID-19: A Bench to Bedside Review. Radiol Res Pract. 2020;2020:8825761. [PMID: 33294226 DOI: 10.1155/2020/8825761] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
3 Silva FAFD, Brito BB, Santos MLC, Marques HS, Silva Júnior RTD, Carvalho LS, Vieira ES, Oliveira MV, Melo FF. COVID-19 gastrointestinal manifestations: a systematic review. Rev Soc Bras Med Trop 2020;53:e20200714. [PMID: 33263693 DOI: 10.1590/0037-8682-0714-2020] [Cited by in Crossref: 9] [Cited by in F6Publishing: 8] [Article Influence: 4.5] [Reference Citation Analysis]
4 Sun C, Hong S, Song M, Li H, Wang Z. Predicting COVID-19 disease progression and patient outcomes based on temporal deep learning. BMC Med Inform Decis Mak 2021;21:45. [PMID: 33557818 DOI: 10.1186/s12911-020-01359-9] [Cited by in Crossref: 6] [Cited by in F6Publishing: 3] [Article Influence: 6.0] [Reference Citation Analysis]
5 Pezzutti DL, Wadhwa V, Makary MS. COVID-19 imaging: Diagnostic approaches, challenges, and evolving advances. WJR 2021;13:172-92. [DOI: 10.4329/wjr.v13.i6.172] [Reference Citation Analysis]
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7 Gresser E, Rueckel J, Puhr-Westerheide D, Schwarze V, Fink N, Kunz WG, Wassilowsky D, Irlbeck M, Ricke J, Ingrisch M, Sabel BO. Prognostic Value of Admission Chest CT Findings for Invasive Ventilation Therapy in COVID-19 Pneumonia. Diagnostics (Basel) 2020;10:E1108. [PMID: 33352758 DOI: 10.3390/diagnostics10121108] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 1.5] [Reference Citation Analysis]
8 Ufuk F, Savaş R. Chest CT features of the novel coronavirus disease (COVID-19). Turk J Med Sci 2020;50:664-78. [PMID: 32394687 DOI: 10.3906/sag-2004-331] [Cited by in Crossref: 15] [Cited by in F6Publishing: 7] [Article Influence: 7.5] [Reference Citation Analysis]
9 Zheng B, Cai Y, Zeng F, Lin M, Zheng J, Chen W, Qin G, Guo Y. An Interpretable Model-Based Prediction of Severity and Crucial Factors in Patients with COVID-19. Biomed Res Int 2021;2021:8840835. [PMID: 33708997 DOI: 10.1155/2021/8840835] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
10 Ippolito D, Vernuccio F, Maino C, Cannella R, Giandola T, Ragusi M, Bigiogera V, Capodaglio C, Sironi S. Multiorgan Involvement in SARS-CoV-2 Infection: The Role of the Radiologist from Head to Toe. Diagnostics 2022;12:1188. [DOI: 10.3390/diagnostics12051188] [Reference Citation Analysis]
11 Davarpanah AH, Asgari R, Moharamzad Y, Mahdavi A, Abrishami A, Nekooghadam S, Sabri A, Zarei E, Khazaei M, Sanei Taheri M. Risk Factors for Poor Outcome in Patients with Severe Viral Pneumonia on Chest CT during the COVID-19 Outbreak: a Perspective from Iran. SN Compr Clin Med 2020;:1-11. [PMID: 32838199 DOI: 10.1007/s42399-020-00445-3] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
12 Habtemariam S, Nabavi SF, Berindan-Neagoe I, Cismaru CA, Izadi M, Sureda A, Nabavi SM. Should we try the antiinflammatory natural product, celastrol, for COVID-19? Phytother Res 2020;34:1189-90. [PMID: 32347602 DOI: 10.1002/ptr.6711] [Cited by in Crossref: 8] [Cited by in F6Publishing: 7] [Article Influence: 4.0] [Reference Citation Analysis]
13 Barek MA, Aziz MA, Islam MS. Impact of age, sex, comorbidities and clinical symptoms on the severity of COVID-19 cases: A meta-analysis with 55 studies and 10014 cases. Heliyon 2020;6:e05684. [PMID: 33344791 DOI: 10.1016/j.heliyon.2020.e05684] [Cited by in Crossref: 19] [Cited by in F6Publishing: 20] [Article Influence: 9.5] [Reference Citation Analysis]
14 Nayeri ND, Nadali J, Divani A, Basirinezhad MH, Meidani M. Clinical manifestation, laboratory and radiology finding, treatment and outcomes of COVID-19: A systematic review and meta-analysis. J Res Med Sci 2021;26:41. [PMID: 34484373 DOI: 10.4103/jrms.JRMS_900_20] [Reference Citation Analysis]
15 Ferreira-Santos D, Maranhão P, Monteiro-Soares M; COVIDcids. Identifying common baseline clinical features of COVID-19: a scoping review. BMJ Open 2020;10:e041079. [PMID: 32938604 DOI: 10.1136/bmjopen-2020-041079] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
16 Nagpal P, Narayanasamy S, Vidholia A, Guo J, Shin KM, Lee CH, Hoffman EA. Imaging of COVID-19 pneumonia: Patterns, pathogenesis, and advances. Br J Radiol 2020;93:20200538. [PMID: 32758014 DOI: 10.1259/bjr.20200538] [Cited by in Crossref: 10] [Cited by in F6Publishing: 7] [Article Influence: 5.0] [Reference Citation Analysis]
17 Shahriarirad R, Khodamoradi Z, Erfani A, Hosseinpour H, Ranjbar K, Emami Y, Mirahmadizadeh A, Lotfi M, Shirazi Yeganeh B, Dorrani Nejad A, Hemmati A, Ebrahimi M, Moghadami M. Epidemiological and clinical features of 2019 novel coronavirus diseases (COVID-19) in the South of Iran. BMC Infect Dis. 2020;20:427. [PMID: 32552751 DOI: 10.1186/s12879-020-05128-x] [Cited by in Crossref: 47] [Cited by in F6Publishing: 47] [Article Influence: 23.5] [Reference Citation Analysis]
18 Chidambaram V, Tun NL, Haque WZ, Majella MG, Sivakumar RK, Kumar A, Hsu AT, Ishak IA, Nur AA, Ayeh SK, Salia EL, Zil-E-Ali A, Saeed MA, Sarena APB, Seth B, Ahmadzada M, Haque EF, Neupane P, Wang KH, Pu TM, Ali SMH, Arshad MA, Wang L, Baksh S, Karakousis PC, Galiatsatos P. Factors associated with disease severity and mortality among patients with COVID-19: A systematic review and meta-analysis.PLoS One. 2020;15:e0241541. [PMID: 33206661 DOI: 10.1371/journal.pone.0241541] [Cited by in Crossref: 27] [Cited by in F6Publishing: 31] [Article Influence: 13.5] [Reference Citation Analysis]
19 Silva M, Ledda RE, Schiebler M, Balbi M, Sironi S, Milone F, Affanni P, Milanese G, Sverzellati N. Frequency and characterization of ancillary chest CT findings in COVID-19 pneumonia.Br J Radiol. 2021;94:20200716. [PMID: 33471553 DOI: 10.1259/bjr.20200716] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
20 Leger T, Jacquier A, Barral PA, Castelli M, Finance J, Lagier JC, Million M, Parola P, Brouqui P, Raoult D, Bartoli A, Gaubert JY, Habert P. Low-dose chest CT for diagnosing and assessing the extent of lung involvement of SARS-CoV-2 pneumonia using a semi quantitative score. PLoS One 2020;15:e0241407. [PMID: 33141845 DOI: 10.1371/journal.pone.0241407] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
21 Meyer HJ, Wienke A, Surov A. Extrapulmonary CT Findings Predict In-Hospital Mortality in COVID-19. A Systematic Review and Meta-Analysis. Acad Radiol 2022;29:17-30. [PMID: 34772618 DOI: 10.1016/j.acra.2021.10.001] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
22 Ghahramani S, Tabrizi R, Lankarani KB, Kashani SMA, Rezaei S, Zeidi N, Akbari M, Heydari ST, Akbari H, Nowrouzi-Sohrabi P, Ahmadizar F. Laboratory features of severe vs. non-severe COVID-19 patients in Asian populations: a systematic review and meta-analysis. Eur J Med Res. 2020;25:30. [PMID: 32746929 DOI: 10.1186/s40001-020-00432-3] [Cited by in Crossref: 55] [Cited by in F6Publishing: 50] [Article Influence: 27.5] [Reference Citation Analysis]
23 Güneyli S, Atçeken Z, Doğan H, Altınmakas E, Atasoy KÇ. Radiological approach to COVID-19 pneumonia with an emphasis on chest CT. Diagn Interv Radiol 2020;26:323-32. [PMID: 32352917 DOI: 10.5152/dir.2020.20260] [Cited by in Crossref: 19] [Cited by in F6Publishing: 17] [Article Influence: 9.5] [Reference Citation Analysis]
24 Ghashghaei S, Wood DA, Sadatshojaei E, Jalilpoor M. Grayscale image statistics of COVID‐19 patient CT scans characterize lung condition with machine and deep learning. Chronic Diseases and Translational Medicine. [DOI: 10.1002/cdt3.27] [Reference Citation Analysis]
25 Pasha SB, Swi A, Hammoud GM. Gastrointestinal and hepatic manifestations of COVID-19 infection: Lessons for practitioners. World J Meta-Anal 2020; 8(5): 348-374 [DOI: 10.13105/wjma.v8.i5.348] [Cited by in Crossref: 1] [Article Influence: 0.5] [Reference Citation Analysis]
26 Wu Q, Wang S, Li L, Wu Q, Qian W, Hu Y, Li L, Zhou X, Ma H, Li H, Wang M, Qiu X, Zha Y, Tian J. Radiomics Analysis of Computed Tomography helps predict poor prognostic outcome in COVID-19. Theranostics 2020;10:7231-44. [PMID: 32641989 DOI: 10.7150/thno.46428] [Cited by in Crossref: 60] [Cited by in F6Publishing: 41] [Article Influence: 30.0] [Reference Citation Analysis]
27 Lieveld AWE, Azijli K, Teunissen BP, van Haaften RM, Kootte RS, van den Berk IAH, van der Horst SFB, de Gans C, van de Ven PM, Nanayakkara PWB. Chest CT in COVID-19 at the ED: Validation of the COVID-19 Reporting and Data System (CO-RADS) and CT Severity Score: A Prospective, Multicenter, Observational Study. Chest 2021;159:1126-35. [PMID: 33271157 DOI: 10.1016/j.chest.2020.11.026] [Cited by in Crossref: 9] [Cited by in F6Publishing: 11] [Article Influence: 4.5] [Reference Citation Analysis]
28 Zeng F, Huang Y, Guo Y, Yin M, Chen X, Xiao L, Deng G. Association of inflammatory markers with the severity of COVID-19: A meta-analysis. Int J Infect Dis 2020;96:467-74. [PMID: 32425643 DOI: 10.1016/j.ijid.2020.05.055] [Cited by in Crossref: 137] [Cited by in F6Publishing: 120] [Article Influence: 68.5] [Reference Citation Analysis]
29 Açıksarı G, Koçak M, Çağ Y, Altunal LN, Atıcı A, Çelik FB, Bölen F, Açıksarı K, Çalışkan M. Prognostic Value of Inflammatory Biomarkers in Patients with Severe COVID-19: A Single-Center Retrospective Study. Biomark Insights 2021;16:11772719211027022. [PMID: 34248354 DOI: 10.1177/11772719211027022] [Reference Citation Analysis]
30 Sharma G, Umapathy K, Krishnan S. Audio texture analysis of COVID-19 cough, breath, and speech sounds. Biomedical Signal Processing and Control 2022;76:103703. [DOI: 10.1016/j.bspc.2022.103703] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
31 Fathi M, Vakili K, Sayehmiri F, Mohamadkhani A, Hajiesmaeili M, Rezaei-Tavirani M, Eilami O. The prognostic value of comorbidity for the severity of COVID-19: A systematic review and meta-analysis study. PLoS One 2021;16:e0246190. [PMID: 33592019 DOI: 10.1371/journal.pone.0246190] [Cited by in Crossref: 9] [Cited by in F6Publishing: 9] [Article Influence: 9.0] [Reference Citation Analysis]
32 Burian E, Jungmann F, Kaissis GA, Lohöfer FK, Spinner CD, Lahmer T, Treiber M, Dommasch M, Schneider G, Geisler F, Huber W, Protzer U, Schmid RM, Schwaiger M, Makowski MR, Braren RF. Intensive Care Risk Estimation in COVID-19 Pneumonia Based on Clinical and Imaging Parameters: Experiences from the Munich Cohort. J Clin Med 2020;9:E1514. [PMID: 32443442 DOI: 10.3390/jcm9051514] [Cited by in Crossref: 24] [Cited by in F6Publishing: 22] [Article Influence: 12.0] [Reference Citation Analysis]
33 Yang H, Lan Y, Yao X, Lin S, Xie B. The chest CT features of coronavirus disease 2019 (COVID-19) in China: a meta-analysis of 19 retrospective studies. Virol J 2020;17:159. [PMID: 33087181 DOI: 10.1186/s12985-020-01432-9] [Cited by in Crossref: 5] [Cited by in F6Publishing: 7] [Article Influence: 2.5] [Reference Citation Analysis]
34 Liu M, Zeng W, Wen Y, Zheng Y, Lv F, Xiao K. COVID-19 pneumonia: CT findings of 122 patients and differentiation from influenza pneumonia. Eur Radiol. 2020;30:5463-5469. [PMID: 32399710 DOI: 10.1007/s00330-020-06928-0] [Cited by in Crossref: 44] [Cited by in F6Publishing: 40] [Article Influence: 22.0] [Reference Citation Analysis]
35 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]
36 Jiang H, Guo W, Shi Z, Jiang H, Zhang M, Wei L, Pan Y. Clinical imaging characteristics of inpatients with coronavirus disease-2019 in Heilongjiang Province, China: a retrospective study. Aging (Albany NY) 2020;12:13860-8. [PMID: 32688346 DOI: 10.18632/aging.103633] [Cited by in Crossref: 6] [Cited by in F6Publishing: 4] [Article Influence: 3.0] [Reference Citation Analysis]
37 Zadeh FA, Ardalani MV, Salehi AR, Jalali Farahani R, Hashemi M, Mohammed AH. An Analysis of New Feature Extraction Methods Based on Machine Learning Methods for Classification Radiological Images. Comput Intell Neurosci 2022;2022:3035426. [PMID: 35634075 DOI: 10.1155/2022/3035426] [Reference Citation Analysis]
38 Abdolrahimzadeh Fard H, Mahmudi-Azer S, Sefidbakht S, Iranpour P, Bolandparvaz S, Abbasi HR, Paydar S, Sabetian G, Mahmoudi MM, Zare M, Shayan L, Salimi M. Evaluation of Chest CT Scan as a Screening and Diagnostic Tool in Trauma Patients with Coronavirus Disease 2019 (COVID-19): A Cross-Sectional Study. Emerg Med Int 2021;2021:4188178. [PMID: 34327023 DOI: 10.1155/2021/4188178] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
39 Raoufi M, Khalili S, Mansouri M, Mahdavi A, Khalili N. Well-controlled vs poorly-controlled diabetes in patients with COVID-19: Are there any differences in outcomes and imaging findings? Diabetes Res Clin Pract 2020;166:108286. [PMID: 32592836 DOI: 10.1016/j.diabres.2020.108286] [Cited by in Crossref: 6] [Cited by in F6Publishing: 7] [Article Influence: 3.0] [Reference Citation Analysis]
40 Shuai W, Chen X, Shan Y, Li W, Ma W, Lu Q, Li D. Clinical Characteristics and CT Findings in 148 Non-COVID-19 Influenza-Like Illness Cases: A Retrospective Control Study. Front Public Health 2021;9:616963. [PMID: 33634067 DOI: 10.3389/fpubh.2021.616963] [Reference Citation Analysis]
41 Mafort TT, Lopes AJ, da Costa CH, da Cal MS, Lopes MC, da Silva BRA, Faria LF, Faria AC, Costa W, Salles REB, de Castro MCS, Rufino R. Changes in lung ultrasound of symptomatic healthcare professionals with COVID-19 pneumonia and their association with clinical findings. J Clin Ultrasound 2020;48:515-21. [PMID: 32827163 DOI: 10.1002/jcu.22905] [Cited by in Crossref: 4] [Cited by in F6Publishing: 5] [Article Influence: 2.0] [Reference Citation Analysis]
42 Walker C, Peyko V, Farrell C, Awad-Spirtos J, Adamo M, Scrocco J. Pericardial effusion and cardiac tamponade requiring pericardial window in an otherwise healthy 30-year-old patient with COVID-19: a case report. J Med Case Rep 2020;14:158. [PMID: 32907623 DOI: 10.1186/s13256-020-02467-w] [Cited by in Crossref: 5] [Cited by in F6Publishing: 3] [Article Influence: 2.5] [Reference Citation Analysis]
43 Yoo SJ, Qi X, Inui S, Kim H, Jeong YJ, Lee KH, Lee YK, Lee BY, Kim JY, Jin KN, Lim JK, Kim YH, Kim KB, Jiang Z, Shao C, Lei J, Zou S, Pan H, Gu Y, Zhang G, Goo JM, Yoon SH. Deep Learning-Based Automatic CT Quantification of Coronavirus Disease 2019 Pneumonia: An International Collaborative Study. J Comput Assist Tomogr 2022. [PMID: 35405709 DOI: 10.1097/RCT.0000000000001303] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
44 Ashraf MA, Shokouhi N, Shirali E, Davari-Tanha F, Shirani K, Memar O, Kamalipour A, Azarnoush A, Mabadi A, Ossareh A, Sanginabadi M, Azad TM, Aghaghazvini L, Ghaderkhani S, Poordast T, Pourdast A, Nazemi P. COVID-19, An early investigation from exposure to treatment outcomes in Tehran, Iran. J Res Med Sci 2021;26:114. [PMID: 35126577 DOI: 10.4103/jrms.JRMS_1088_20] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
45 Allam HH, Kinsara AJ, Tuaima T, Alfakih S. Pericardial Fluid in a COVID-19 Patient: Is It Exudate or Transudate? Eur J Case Rep Intern Med. 2020;7:001703. [PMID: 32523923 DOI: 10.12890/2020_001703] [Cited by in Crossref: 1] [Cited by in F6Publishing: 6] [Article Influence: 0.5] [Reference Citation Analysis]
46 Madhusudhan KS, Srivastava DN, Garg KV, Khandelwal N. Computed Tomography of the Chest in COVID-19: A Pictorial Review of Indian Patients. Ann Natl Acad Med Sci 2021;57:82-92. [DOI: 10.1055/s-0041-1728973] [Reference Citation Analysis]
47 Niu R, Ye S, Li Y, Ma H, Xie X, Hu S, Huang X, Ou Y, Chen J. Chest CT features associated with the clinical characteristics of patients with COVID-19 pneumonia. Ann Med 2021;53:169-80. [PMID: 33426973 DOI: 10.1080/07853890.2020.1851044] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
48 Zhou S, Chen C, Hu Y, Lv W, Ai T, Xia L. Chest CT imaging features and severity scores as biomarkers for prognostic prediction in patients with COVID-19. Ann Transl Med. 2020;8:1449. [PMID: 33313194 DOI: 10.21037/atm-20-3421] [Cited by in Crossref: 8] [Cited by in F6Publishing: 5] [Article Influence: 4.0] [Reference Citation Analysis]
49 Li MM, Kuo TT. Previewable Contract-Based On-Chain X-Ray Image Sharing Framework for Clinical Research. Int J Med Inform 2021;156:104599. [PMID: 34628257 DOI: 10.1016/j.ijmedinf.2021.104599] [Reference Citation Analysis]
50 Soewono KY, Raney KC 3rd, Sidhu MS. Pericarditis with pericardial effusion as a delayed complication of COVID-19. Proc (Bayl Univ Med Cent) 2021;34:629-30. [PMID: 34456496 DOI: 10.1080/08998280.2021.1918975] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
51 Kwee TC, Kwee RM. Chest CT in COVID-19: What the Radiologist Needs to Know. Radiographics. 2020;40:1848-1865. [PMID: 33095680 DOI: 10.1148/rg.2020200159] [Cited by in Crossref: 59] [Cited by in F6Publishing: 39] [Article Influence: 29.5] [Reference Citation Analysis]
52 Toussie D, Voutsinas N, Chung M, Bernheim A. Imaging of COVID-19. Seminars in Roentgenology 2022;57:40-52. [DOI: 10.1053/j.ro.2021.10.002] [Reference Citation Analysis]
53 Liu N, He G, Yang X, Chen J, Wu J, Ma M, Lu W, Li Q, Cheng T, Huang X. Dynamic changes of Chest CT follow-up in Coronavirus Disease-19 (COVID-19) pneumonia: relationship to clinical typing. BMC Med Imaging 2020;20:92. [PMID: 32758155 DOI: 10.1186/s12880-020-00491-2] [Cited by in Crossref: 10] [Cited by in F6Publishing: 7] [Article Influence: 5.0] [Reference Citation Analysis]
54 Forero-Peña DA, Carrión-Nessi FS, Mendoza-Millán DL, Omaña-Ávila ÓD, Mejía-Bernard MD, Camejo-Ávila NA, Flora-Noda DM, Velásquez VL, Chacón-Labrador FR, Doval-Fernández JM, Maricuto AL, Grillet ME, Hernández-Villena JV, Vincenti-González MF, Paniz-Mondolfi AE, Orejas J, Rodríguez VI, Contreras MB, Guevara RN, Carballo M, Caldera J, Redondo MC, Landaeta ME. First wave of COVID-19 in Venezuela: Epidemiological, clinical, and paraclinical characteristics of first cases. J Med Virol 2021. [PMID: 34761824 DOI: 10.1002/jmv.27449] [Reference Citation Analysis]
55 Wu Z, Liu X, Liu J, Zhu F, Liu Y, Liu Y, Peng H. Correlation between ground-glass opacity on pulmonary CT and the levels of inflammatory cytokines in patients with moderate-to-severe COVID-19 pneumonia. Int J Med Sci 2021;18:2394-400. [PMID: 33967617 DOI: 10.7150/ijms.56683] [Reference Citation Analysis]
56 Lessmann N, Sánchez CI, Beenen L, Boulogne LH, Brink M, Calli E, Charbonnier JP, Dofferhoff T, van Everdingen WM, Gerke PK, Geurts B, Gietema HA, Groeneveld M, van Harten L, Hendrix N, Hendrix W, Huisman HJ, Išgum I, Jacobs C, Kluge R, Kok M, Krdzalic J, Lassen-Schmidt B, van Leeuwen K, Meakin J, Overkamp M, van Rees Vellinga T, van Rikxoort EM, Samperna R, Schaefer-Prokop C, Schalekamp S, Scholten ET, Sital C, Stöger JL, Teuwen J, Venkadesh KV, de Vente C, Vermaat M, Xie W, de Wilde B, Prokop M, van Ginneken B. Automated Assessment of COVID-19 Reporting and Data System and Chest CT Severity Scores in Patients Suspected of Having COVID-19 Using Artificial Intelligence. Radiology 2021;298:E18-28. [PMID: 32729810 DOI: 10.1148/radiol.2020202439] [Cited by in Crossref: 26] [Cited by in F6Publishing: 25] [Article Influence: 13.0] [Reference Citation Analysis]
57 Tung-Chen Y. Acute pericarditis due to COVID-19 infection: An underdiagnosed disease? Med Clin (Barc) 2020;155:44-5. [PMID: 32446685 DOI: 10.1016/j.medcli.2020.04.007] [Cited by in Crossref: 9] [Cited by in F6Publishing: 2] [Article Influence: 4.5] [Reference Citation Analysis]
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