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For: Wong HYF, Lam HYS, Fong AH, Leung ST, Chin TW, Lo CSY, Lui MM, Lee JCY, Chiu KW, Chung TW, Lee EYP, Wan EYF, Hung IFN, Lam TPW, Kuo MD, Ng MY. Frequency and Distribution of Chest Radiographic Findings in Patients Positive for COVID-19. Radiology. 2020;296:E72-E78. [PMID: 32216717 DOI: 10.1148/radiol.2020201160] [Cited by in Crossref: 443] [Cited by in F6Publishing: 354] [Article Influence: 443.0] [Reference Citation Analysis]
Number Citing Articles
1 Rajamani KT, Siebert H, Heinrich MP. Dynamic deformable attention network (DDANet) for COVID-19 lesions semantic segmentation. J Biomed Inform 2021;119:103816. [PMID: 34022421 DOI: 10.1016/j.jbi.2021.103816] [Reference Citation Analysis]
2 Badu-Peprah A, Anyitey-Kokor I, Ackon A, Otoo OK, Asamoah NAK, Adu-Bredu TK. Chest radiography patterns of COVID-19 pneumonia in Kumasi, Ghana. Ghana Med J 2020;54:264-8. [PMID: 33883775 DOI: 10.4314/gmj.v54i4.9] [Reference Citation Analysis]
3 Colman J, Zamfir G, Sheehan F, Berrill M, Saikia S, Saltissi F. Chest radiograph characteristics in COVID-19 infection and their association with survival. Eur J Radiol Open 2021;8:100360. [PMID: 34095358 DOI: 10.1016/j.ejro.2021.100360] [Reference Citation Analysis]
4 Garg RK, Singh GP, Garg R, Kumar N, Parihar A. Severe COVID-19: A distinct entity. J Family Med Prim Care 2021;10:84-92. [PMID: 34017708 DOI: 10.4103/jfmpc.jfmpc_1600_20] [Reference Citation Analysis]
5 Hussain L, Nguyen T, Li H, Abbasi AA, Lone KJ, Zhao Z, Zaib M, Chen A, Duong TQ. Machine-learning classification of texture features of portable chest X-ray accurately classifies COVID-19 lung infection. Biomed Eng Online 2020;19:88. [PMID: 33239006 DOI: 10.1186/s12938-020-00831-x] [Cited by in Crossref: 15] [Cited by in F6Publishing: 8] [Article Influence: 15.0] [Reference Citation Analysis]
6 Sánchez-Guijo F, García-Arranz M, López-Parra M, Monedero P, Mata-Martínez C, Santos A, Sagredo V, Álvarez-Avello JM, Guerrero JE, Pérez-Calvo C, Sánchez-Hernández MV, Del-Pozo JL, Andreu EJ, Fernández-Santos ME, Soria-Juan B, Hernández-Blasco LM, Andreu E, Sempere JM, Zapata AG, Moraleda JM, Soria B, Fernández-Avilés F, García-Olmo D, Prósper F. Adipose-derived mesenchymal stromal cells for the treatment of patients with severe SARS-CoV-2 pneumonia requiring mechanical ventilation. A proof of concept study. EClinicalMedicine 2020;25:100454. [PMID: 32838232 DOI: 10.1016/j.eclinm.2020.100454] [Cited by in Crossref: 48] [Cited by in F6Publishing: 42] [Article Influence: 48.0] [Reference Citation Analysis]
7 Sankar J, Dhochak N, Kabra SK, Lodha R. COVID-19 in Children: Clinical Approach and Management. Indian J Pediatr 2020;87:433-42. [PMID: 32338347 DOI: 10.1007/s12098-020-03292-1] [Cited by in Crossref: 35] [Cited by in F6Publishing: 23] [Article Influence: 35.0] [Reference Citation Analysis]
8 Nagra D, Russell M, Yates M, Galloway J, Barker R, Desai SR, Norton S. COVID-19: opacification score is higher in the right lung and right lung involvement is a better predictor of ICU admission. Eur Respir J 2020;56:2002340. [PMID: 33008941 DOI: 10.1183/13993003.02340-2020] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
9 Finance J, Zieleskewicz L, Habert P, Jacquier A, Parola P, Boussuges A, Bregeon F, Eldin C. Low Dose Chest CT and Lung Ultrasound for the Diagnosis and Management of COVID-19. J Clin Med 2021;10:2196. [PMID: 34069557 DOI: 10.3390/jcm10102196] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
10 Iacobellis G, Malavazos AE, Basilico S, Tresoldi S, Rinaldo RF, Dubini C, Capitanio G, Serpi F, Schiaffino S, Oliva OA, Cariati M, Morricone L, Centanni S, Sardanelli F, Carruba M, Corsi Romanelli MM, Secchi F. Epicardial fat inflammation response to COVID-19 therapies. Obesity (Silver Spring) 2021;29:1427-33. [PMID: 34028990 DOI: 10.1002/oby.23232] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
11 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]
12 Ma IWY, Hussain A, Wagner M, Walker B, Chee A, Arishenkoff S, Buchanan B, Liu RB, Mints G, Wong T, Noble V, Tonelli AC, Dumoulin E, Miller DJ, Hergott CA, Liteplo AS. Canadian Internal Medicine Ultrasound (CIMUS) Expert Consensus Statement on the Use of Lung Ultrasound for the Assessment of Medical Inpatients With Known or Suspected Coronavirus Disease 2019. J Ultrasound Med 2021;40:1879-92. [PMID: 33274782 DOI: 10.1002/jum.15571] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 4.0] [Reference Citation Analysis]
13 Vancheri SG, Savietto G, Ballati F, Maggi A, Canino C, Bortolotto C, Valentini A, Dore R, Stella GM, Corsico AG, Iotti GA, Mojoli F, Perlini S, Bruno R, Preda L. Radiographic findings in 240 patients with COVID-19 pneumonia: time-dependence after the onset of symptoms. Eur Radiol. 2020;. [PMID: 32474630 DOI: 10.1007/s00330-020-06967-7] [Cited by in Crossref: 47] [Cited by in F6Publishing: 39] [Article Influence: 47.0] [Reference Citation Analysis]
14 [DOI: 10.1101/2020.04.21.20063263] [Cited by in Crossref: 5] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
15 Abdulkareem M, Petersen SE. The Promise of AI in Detection, Diagnosis, and Epidemiology for Combating COVID-19: Beyond the Hype. Front Artif Intell 2021;4:652669. [PMID: 34056579 DOI: 10.3389/frai.2021.652669] [Reference Citation Analysis]
16 Carpenter CR, Mudd PA, West CP, Wilber E, Wilber ST. Diagnosing COVID-19 in the Emergency Department: A Scoping Review of Clinical Examinations, Laboratory Tests, Imaging Accuracy, and Biases. Acad Emerg Med 2020;27:653-70. [PMID: 32542934 DOI: 10.1111/acem.14048] [Cited by in Crossref: 16] [Cited by in F6Publishing: 11] [Article Influence: 16.0] [Reference Citation Analysis]
17 Van Laethem J, Wuyts S, Van Laere S, Koulalis J, Colman M, Moretti M, Seyler L, De Waele E, Pierard D, Lacor P, Allard SD. Antibiotic prescriptions in the context of suspected bacterial respiratory tract superinfections in the COVID-19 era: a retrospective quantitative analysis of antibiotic consumption and identification of antibiotic prescription drivers. Intern Emerg Med 2021. [PMID: 34185257 DOI: 10.1007/s11739-021-02790-0] [Reference Citation Analysis]
18 [DOI: 10.1101/2020.05.14.097204] [Cited by in Crossref: 5] [Cited by in F6Publishing: 2] [Reference Citation Analysis]
19 Wang L, Jiaerken Y, Li Q, Huang P, Shen Z, Zhao T, Zheng H, Ji W, Gao Y, Xia J, Cheng J, Ma J, Liu J, Liu Y, Su M, Ruan G, Shu J, Ren D, Zhao Z, Yao W, Yang Y, Zhang M. An Illustrated Guide to the Imaging Evolution of COVID in Non-Epidemic Areas of Southeast China. Front Mol Biosci 2021;8:648180. [PMID: 34124146 DOI: 10.3389/fmolb.2021.648180] [Reference Citation Analysis]
20 Fontanellaz M, Ebner L, Huber A, Peters A, Löbelenz L, Hourscht C, Klaus J, Munz J, Ruder T, Drakopoulos D, Sieron D, Primetis E, Heverhagen JT, Mougiakakou S, Christe A. A Deep-Learning Diagnostic Support System for the Detection of COVID-19 Using Chest Radiographs: A Multireader Validation Study. Invest Radiol 2021;56:348-56. [PMID: 33259441 DOI: 10.1097/RLI.0000000000000748] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 3.0] [Reference Citation Analysis]
21 Wehbe RM, Sheng J, Dutta S, Chai S, Dravid A, Barutcu S, Wu Y, Cantrell DR, Xiao N, Allen BD, MacNealy GA, Savas H, Agrawal R, Parekh N, Katsaggelos AK. DeepCOVID-XR: An Artificial Intelligence Algorithm to Detect COVID-19 on Chest Radiographs Trained and Tested on a Large U.S. Clinical Data Set. Radiology. 2021;299:E167-E176. [PMID: 33231531 DOI: 10.1148/radiol.2020203511] [Cited by in Crossref: 14] [Cited by in F6Publishing: 10] [Article Influence: 14.0] [Reference Citation Analysis]
22 Foster A, Khan Z, Siddiqui A, Singh S, Atere M, Nfonoyim JM. It's complicated: A case report on a COVID-19-positive HIV patient presenting with rhabdomyolysis and acute kidney injury. SAGE Open Med Case Rep 2020;8:2050313X20965423. [PMID: 33117541 DOI: 10.1177/2050313X20965423] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
23 Li J, Long X, Wang X, Fang F, Lv X, Zhang D, Sun Y, Hu S, Lin Z, Xiong N. Radiology indispensable for tracking COVID-19. Diagn Interv Imaging 2021;102:69-75. [PMID: 33281082 DOI: 10.1016/j.diii.2020.11.008] [Cited by in Crossref: 6] [Cited by in F6Publishing: 5] [Article Influence: 6.0] [Reference Citation Analysis]
24 Tartaglione E, Barbano CA, Berzovini C, Calandri M, Grangetto M. Unveiling COVID-19 from CHEST X-Ray with Deep Learning: A Hurdles Race with Small Data. Int J Environ Res Public Health 2020;17:E6933. [PMID: 32971995 DOI: 10.3390/ijerph17186933] [Cited by in Crossref: 38] [Cited by in F6Publishing: 21] [Article Influence: 38.0] [Reference Citation Analysis]
25 Joshi RC, Yadav S, Pathak VK, Malhotra HS, Khokhar HVS, Parihar A, Kohli N, Himanshu D, Garg RK, Bhatt MLB, Kumar R, Singh NP, Sardana V, Burget R, Alippi C, Travieso-Gonzalez CM, Dutta MK. A deep learning-based COVID-19 automatic diagnostic framework using chest X-ray images. Biocybern Biomed Eng 2021;41:239-54. [PMID: 33518878 DOI: 10.1016/j.bbe.2021.01.002] [Cited by in Crossref: 5] [Cited by in F6Publishing: 2] [Article Influence: 5.0] [Reference Citation Analysis]
26 Petite Felipe DJ, Rivera Campos MI, San Miguel Espinosa J, Malo Rubio Y, Flores Quan JC, Cuartero Revilla MV. Initial findings in chest X-rays as predictors of worsening lung infection in patients with COVID-19: correlation in 265 patients. Radiologia 2021;63:324-33. [PMID: 33902938 DOI: 10.1016/j.rx.2021.03.004] [Reference Citation Analysis]
27 Tamayo-Velasco Á, Peñarrubia-Ponce MJ, Álvarez FJ, Gonzalo-Benito H, de la Fuente I, Martín-Fernández M, Eiros JM, Martínez-Paz P, Miramontes-González JP, Fiz-López A, Arribas-Rodríguez E, Cal-Sabater P, Aller R, Dueñas C, Heredia-Rodríguez M, Tamayo E, Bernardo D, Gómez-Sánchez E. Evaluation of Cytokines as Robust Diagnostic Biomarkers for COVID-19 Detection. J Pers Med 2021;11:681. [PMID: 34357148 DOI: 10.3390/jpm11070681] [Reference Citation Analysis]
28 Schiaffino S, Tritella S, Cozzi A, Carriero S, Blandi L, Ferraris L, Sardanelli F. Diagnostic Performance of Chest X-Ray for COVID-19 Pneumonia During the SARS-CoV-2 Pandemic in Lombardy, Italy. J Thorac Imaging. 2020;35:W105-W106. [PMID: 32404797 DOI: 10.1097/rti.0000000000000533] [Cited by in Crossref: 45] [Cited by in F6Publishing: 31] [Article Influence: 45.0] [Reference Citation Analysis]
29 Rubin GD, Ryerson CJ, Haramati LB, Sverzellati N, Kanne JP, Raoof S, Schluger NW, Volpi A, Yim JJ, Martin IBK, Anderson DJ, Kong C, Altes T, Bush A, Desai SR, Goldin O, Goo JM, Humbert M, Inoue Y, Kauczor HU, Luo F, Mazzone PJ, Prokop M, Remy-Jardin M, Richeldi L, Schaefer-Prokop CM, Tomiyama N, Wells AU, Leung AN. The Role of Chest Imaging in Patient Management during the COVID-19 Pandemic: A Multinational Consensus Statement from the Fleischner Society. Radiology. 2020;296:172-180. [PMID: 32255413 DOI: 10.1148/radiol.2020201365] [Cited by in Crossref: 327] [Cited by in F6Publishing: 250] [Article Influence: 327.0] [Reference Citation Analysis]
30 Sigman SA, Mokmeli S, Vetrici MA. Adjunct low level laser therapy (LLLT) in a morbidly obese patient with severe COVID-19 pneumonia: A case report. Can J Respir Ther 2020;56:52-6. [PMID: 33043132 DOI: 10.29390/cjrt-2020-022] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 5.0] [Reference Citation Analysis]
31 Shah K, Kamler J, Phan A, Toy D. Imaging & other potential predictors of deterioration in COVID-19. Am J Emerg Med 2020;38:1547.e1-4. [PMID: 32386804 DOI: 10.1016/j.ajem.2020.04.075] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
32 Kaufman AE, Naidu S, Ramachandran S, Kaufman DS, Fayad ZA, Mani V. Review of radiographic findings in COVID-19. World J Radiol. 2020;12:142-155. [PMID: 32913561 DOI: 10.4329/wjr.v12.i8.142] [Cited by in CrossRef: 8] [Cited by in F6Publishing: 5] [Article Influence: 8.0] [Reference Citation Analysis]
33 Larici AR, Cicchetti G, Marano R, Bonomo L, Storto ML. COVID-19 pneumonia: current evidence of chest imaging features, evolution and prognosis. Chin J Acad Radiol 2021;:1-12. [PMID: 33969266 DOI: 10.1007/s42058-021-00068-0] [Reference Citation Analysis]
34 Parsons IT, Parsons AT, Balme E, Hazell G, Gifford R, Stacey M, Woods DR, Russell-Jones D. The use of routine blood tests to assist the diagnosis of COVID-19 in symptomatic hospitalized patients. Ann Clin Biochem 2021;58:318-26. [PMID: 33591793 DOI: 10.1177/0004563221999076] [Reference Citation Analysis]
35 Kihira S, Schefflein J, Chung M, Mahmoudi K, Rigney B, Delman BN, Mocco J, Doshi A, Belani P. Incidental COVID-19 related lung apical findings on stroke CTA during the COVID-19 pandemic. J Neurointerv Surg 2020;12:669-72. [PMID: 32430481 DOI: 10.1136/neurintsurg-2020-016188] [Cited by in Crossref: 16] [Cited by in F6Publishing: 10] [Article Influence: 16.0] [Reference Citation Analysis]
36 Hapshy V, Aziz D, Kahar P, Khanna D, Johnson KE, Parmar MS. COVID-19 and Pregnancy: Risk, Symptoms, Diagnosis, and Treatment. SN Compr Clin Med 2021;:1-7. [PMID: 33898924 DOI: 10.1007/s42399-021-00915-2] [Cited by in Crossref: 5] [Cited by in F6Publishing: 3] [Article Influence: 5.0] [Reference Citation Analysis]
37 Cellina M, Panzeri M, Oliva G. Chest Radiography Features Help to Predict a Favorable Outcome in Patients with Coronavirus Disease 2019. Radiology. 2020;297:E238. [PMID: 32484419 DOI: 10.1148/radiol.2020202326] [Cited by in Crossref: 6] [Cited by in F6Publishing: 4] [Article Influence: 6.0] [Reference Citation Analysis]
38 Contributors to the C4 article. C4 article: Implications of COVID-19 in transplantation. Am J Transplant 2021;21:1801-15. [PMID: 33040483 DOI: 10.1111/ajt.16346] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 3.0] [Reference Citation Analysis]
39 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: 3] [Article Influence: 4.0] [Reference Citation Analysis]
40 Gatti M, Calandri M, Barba M, Biondo A, Geninatti C, Gentile S, Greco M, Morrone V, Piatti C, Santonocito A, Varello S, Bergamasco L, Cavallo R, Di Stefano R, Riccardini F, Boccuzzi A, Limerutti G, Veltri A, Fonio P, Faletti R. Baseline chest X-ray in coronavirus disease 19 (COVID-19) patients: association with clinical and laboratory data. Radiol Med 2020;125:1271-9. [PMID: 32894449 DOI: 10.1007/s11547-020-01272-1] [Cited by in Crossref: 14] [Cited by in F6Publishing: 14] [Article Influence: 14.0] [Reference Citation Analysis]
41 Farias LPG, Fonseca EKUN, Strabelli DG, Loureiro BMC, Neves YCS, Rodrigues TP, Chate RC, Nomura CH, Sawamura MVY, Cerri GG. Imaging findings in COVID-19 pneumonia. Clinics (Sao Paulo) 2020;75:e2027. [PMID: 32578826 DOI: 10.6061/clinics/2020/e2027] [Cited by in Crossref: 6] [Cited by in F6Publishing: 1] [Article Influence: 6.0] [Reference Citation Analysis]
42 Pagnesi M, Baldetti L, Beneduce A, Calvo F, Gramegna M, Pazzanese V, Ingallina G, Napolano A, Finazzi R, Ruggeri A, Ajello S, Melisurgo G, Camici PG, Scarpellini P, Tresoldi M, Landoni G, Ciceri F, Scandroglio AM, Agricola E, Cappelletti AM. Pulmonary hypertension and right ventricular involvement in hospitalised patients with COVID-19. Heart. 2020;106:1324-1331. [PMID: 32675217 DOI: 10.1136/heartjnl-2020-317355] [Cited by in Crossref: 56] [Cited by in F6Publishing: 41] [Article Influence: 56.0] [Reference Citation Analysis]
43 Deng H, Li X. AI-Empowered Computational Examination of Chest Imaging for COVID-19 Treatment: A Review. Front Artif Intell 2021;4:612914. [PMID: 34368756 DOI: 10.3389/frai.2021.612914] [Reference Citation Analysis]
44 Ebrahimian S, Homayounieh F, Rockenbach MABC, Putha P, Raj T, Dayan I, Bizzo BC, Buch V, Wu D, Kim K, Li Q, Digumarthy SR, Kalra MK. Artificial intelligence matches subjective severity assessment of pneumonia for prediction of patient outcome and need for mechanical ventilation: a cohort study. Sci Rep 2021;11:858. [PMID: 33441578 DOI: 10.1038/s41598-020-79470-0] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 5.0] [Reference Citation Analysis]
45 Jin C, Chen W, Cao Y, Xu Z, Tan Z, Zhang X, Deng L, Zheng C, Zhou J, Shi H, Feng J. Development and evaluation of an artificial intelligence system for COVID-19 diagnosis. Nat Commun 2020;11:5088. [PMID: 33037212 DOI: 10.1038/s41467-020-18685-1] [Cited by in Crossref: 42] [Cited by in F6Publishing: 29] [Article Influence: 42.0] [Reference Citation Analysis]
46 Landete P, Quezada Loaiza CA, Aldave-Orzaiz B, Muñiz SH, Maldonado A, Zamora E, Sam Cerna AC, Del Cerro E, Alonso RC, Couñago F. Clinical features and radiological manifestations of COVID-19 disease. World J Radiol. 2020;12:247-260. [PMID: 33362916 DOI: 10.4329/wjr.v12.i11.247] [Cited by in CrossRef: 6] [Cited by in F6Publishing: 5] [Article Influence: 6.0] [Reference Citation Analysis]
47 Dhamad AE, Abdal Rhida MA. COVID-19: molecular and serological detection methods. PeerJ 2020;8:e10180. [PMID: 33083156 DOI: 10.7717/peerj.10180] [Cited by in Crossref: 13] [Cited by in F6Publishing: 7] [Article Influence: 13.0] [Reference Citation Analysis]
48 Chia AQX, Cheng LT, Wijaya L, Png MA, Sim WY, Hong WL, Chen RC. Chest Radiographs and CTs in the Era of COVID-19: Indications, Operational Safety Considerations and Alternative Imaging Practices. Acad Radiol. 2020;27:1193-1203. [PMID: 32703648 DOI: 10.1016/j.acra.2020.06.022] [Cited by in Crossref: 5] [Cited by in F6Publishing: 3] [Article Influence: 5.0] [Reference Citation Analysis]
49 Polese J, Sant'Ana L, Moulaz IR, Lara IC, Bernardi JM, Lima MD, Turini EAS, Silveira GC, Duarte S, Mill JG. Pulmonary function evaluation after hospital discharge of patients with severe COVID-19. Clinics (Sao Paulo) 2021;76:e2848. [PMID: 34190851 DOI: 10.6061/clinics/2021/e2848] [Reference Citation Analysis]
50 Chee J, Loh WS, Liu Z, Mullol J, Wang Y. Clinical-Pathological Correlation of the Pathophysiology and Mechanism of Action of COVID-19 - a Primer for Clinicians. Curr Allergy Asthma Rep 2021;21:38. [PMID: 34259961 DOI: 10.1007/s11882-021-01015-w] [Reference Citation Analysis]
51 Afshar-Oromieh A, Prosch H, Schaefer-Prokop C, Bohn KP, Alberts I, Mingels C, Thurnher M, Cumming P, Shi K, Peters A, Geleff S, Lan X, Wang F, Huber A, Gräni C, Heverhagen JT, Rominger A, Fontanellaz M, Schöder H, Christe A, Mougiakakou S, Ebner L. A comprehensive review of imaging findings in COVID-19 - status in early 2021. Eur J Nucl Med Mol Imaging 2021;48:2500-24. [PMID: 33932183 DOI: 10.1007/s00259-021-05375-3] [Cited by in Crossref: 5] [Cited by in F6Publishing: 2] [Article Influence: 5.0] [Reference Citation Analysis]
52 Rajapakse N, Dixit D. Human and novel coronavirus infections in children: a review. Paediatr Int Child Health 2021;41:36-55. [PMID: 32584199 DOI: 10.1080/20469047.2020.1781356] [Cited by in Crossref: 16] [Cited by in F6Publishing: 12] [Article Influence: 16.0] [Reference Citation Analysis]
53 [DOI: 10.1101/2020.06.15.20130344] [Cited by in Crossref: 4] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
54 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]
55 Tay YX, Kothan S, Kada S, Cai S, Lai CWK. Challenges and optimization strategies in medical imaging service delivery during COVID-19. World J Radiol 2021;13:102-21. [PMID: 34141091 DOI: 10.4329/wjr.v13.i5.102] [Reference Citation Analysis]
56 Wong A, Lin ZQ, Wang L, Chung AG, Shen B, Abbasi A, Hoshmand-Kochi M, Duong TQ. Towards computer-aided severity assessment via deep neural networks for geographic and opacity extent scoring of SARS-CoV-2 chest X-rays. Sci Rep 2021;11:9315. [PMID: 33927239 DOI: 10.1038/s41598-021-88538-4] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 5.0] [Reference Citation Analysis]
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