CT Imaging Features of 2019 Novel Coronavirus (2019-nCoV)

Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China

Huang, C., Wang, Y., Li, X., Ren, L., Zhao, J., Hu, Y., Zhang, L., Fan, G., Xu, J., Gu, X., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30183-5 · Cited by 48,884

Fleischner Society: Glossary of Terms for Thoracic Imaging

Hansell, D. M., Bankier, A. A., MacMahon, H., McLoud, T. C., Müller, N. L., & Rémy, J. (2008) · Radiology · doi:10.1148/radiol.2462070712 · Cited by 4,189

Radiographic and CT Features of Viral Pneumonia

Koo, H. J., Lim, S., Choe, J., Choi, S., Sung, H., & Do, K. (2018) · Radiographics · doi:10.1148/rg.2018170048 · Cited by 718

Severe Acute Respiratory Syndrome: Temporal Lung Changes at Thin-Section CT in 30 Patients

OOI, G. C., Khong, P. L., Müller, N. L., Yiu, W. C., Zhou, L. J., Ho, J., LAM, B. K., Nicolaou, S., & TSANG, K. W. T. (2004) · Radiology · doi:10.1148/radiol.2303030853 · Cited by 329

Severe Acute Respiratory Syndrome: Radiographic Appearances and Pattern of Progression in 138 Patients

Wong, K. T., Antonio, G. E., Hui, D. S. C., Lee, N. L. S., Yuen, E. H. Y., Wu, A. K. L., Leung, C. B., Rainer, T. H., Cameron, P. A., Chung, S. S. C., et al. (2003) · Radiology · doi:10.1148/radiol.2282030593 · Cited by 289

Middle East Respiratory Syndrome Coronavirus (MERS-CoV) Infection: Chest CT Findings

Ajlan, A. M., Ahyad, R. A., Jamjoom, L. G., Alharthy, A., & Madani, T. A. (2014) · American Journal of Roentgenology · doi:10.2214/ajr.14.13021 · Cited by 286

Radiologic Pattern of Disease in Patients with Severe Acute Respiratory Syndrome: The Toronto Experience

Paul, N. S., Roberts, H. C., BUTANY, J. W., Chung, T., Gold, W. L., Mehta, S., Konen, E., Rao, A., Provost, Y. L., Hong, H., et al. (2004) · Radiographics · doi:10.1148/rg.242035193 · Cited by 98

Middle East Respiratory Syndrome-Coronavirus Infection: A Case Report of Serial Computed Tomographic Findings in a Young Male Patient

Choi, W. J., Lee, K. N., Kang, E., & Lee, H. (2016) · Korean Journal of Radiology · doi:10.3348/kjr.2016.17.1.166 · Cited by 45

Chest X-Ray Findings in COVID-19 Patients Presenting to Primary Care during the Peak of the First Wave of the Pandemic in Qatar: Their Association with Clinical and Laboratory Findings

Abougazia, A. S., Alnuaimi, A. S., Mahran, A., Ali, T., Khedr, A., Qadourah, B., Shareef, A., Zitouni, S., Kahveci, S., Alqudah, B., et al. (2021) · Pulmonary Medicine · doi:10.1155/2021/4496488 · Cited by 24

Pulmonary thromboembolism in critical ill COVID-19 patients

Scialpi, M., Scialpi, S., Piscioli, I., Scalera, G. B., & Longo, F. (2020) · International Journal of Infectious Diseases · doi:10.1016/j.ijid.2020.04.056 · Cited by 26

COVID-19 findings in chest computed tomography

Menegassi, C. C., Ferreira, F. F., Lyrio, L., Baptista, R. D. M., Zanoni, B. B., Junger, Y. O., Barros, W. H., Volpato, R. G., Júnior, L. M., & Júnior, M. R. (2021) · Revista da Associação Médica Brasileira · doi:10.1590/1806-9282.20210414 · Cited by 23

Chest lesion CT radiological features and quantitative analysis in RT-PCR turned negative and clinical symptoms resolved COVID-19 patients

Du, S., Si, G., Huang, G., Li, S., Chong, W., Jia, Z., Hou, G., Wáng, Y. X. J., & Zhang, L. (2020) · Quantitative Imaging in Medicine and Surgery · doi:10.21037/qims-20-531 · Cited by 23

The broad-spectrum antiviral recommendations for drug discovery against COVID-19

Hazafa, A., ur-Rahman, K., Haq, I. U., Jahan, N., Mumtaz, M., Farman, M. T., Naeem, H., Abbas, F., Naeem, M., Sadiqa, S., et al. (2020) · Drug Metabolism Reviews · doi:10.1080/03602532.2020.1770782 · Cited by 23

Pathology and pathogenicity of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)

Afewerky, H. K. (2020) · Experimental Biology and Medicine · doi:10.1177/1535370220942126 · Cited by 23

Efficacy of High‐Dose Vitamin D Supplementation as an Adjuvant Treatment on Pneumonia: Systematic Review and a Meta‐Analysis of Randomized Controlled Studies

Yang, C., Lü, Y., Wan, M., Xu, D., Yang, X., Yang, L., Wang, S., & Sun, G. (2020) · Nutrition in Clinical Practice · doi:10.1002/ncp.10585 · Cited by 23

Diagnostic performance of chest CT in differentiating COVID-19 from other causes of ground-glass opacities

Elmokadem, A. H., Bayoumi, D., Abo-Hedibah, S. A., & Elmorsy, A. (2021) · The Egyptian Journal of Radiology and Nuclear Medicine · doi:10.1186/s43055-020-00398-6 · Cited by 25

Coronavirus Disease 2019 (COVID-19) in Italy: Double Reading of Chest CT Examination

Reginelli, A., Grassi, R., Feragalli, B., Belfiore, M. P., Montanelli, A., Patelli, G., Porta, M. L., Urraro, F., Fusco, R., Granata, V., et al. (2021) · Biology · doi:10.3390/biology10020089 · Cited by 23

Temporal changes of haematological and radiological findings of the COVID-19 infection—a review of literature

Lim, A. Y. H., Goh, J. L., Chua, M. C. W., Heng, B. H., Abisheganaden, J. A., & George, P. P. (2021) · BMC Pulmonary Medicine · doi:10.1186/s12890-020-01389-z · Cited by 23

Quantification of COVID-19 Opacities on Chest CT – Evaluation of a Fully Automatic AI-approach to Noninvasively Differentiate Critical Versus Noncritical Patients

Mader, C., Bernatz, S., Michalik, S., Koch, V., Martin, S. S., Mahmoudi, S., Basten, L. M., Grünewald, L. D., Bucher, A. M., Albrecht, M. H., et al. (2021) · Academic Radiology · doi:10.1016/j.acra.2021.03.001 · Cited by 25

Machine Learning to Predict In-Hospital Mortality in COVID-19 Patients Using Computed Tomography-Derived Pulmonary and Vascular Features

Schiaffino, S., Codari, M., Cozzi, A., Albano, D., Alì, M., Arioli, R., Avola, E., Bnà, C., Cariati, M., Carriero, S., et al. (2021) · Journal of Personalized Medicine · doi:10.3390/jpm11060501 · Cited by 23

Long-term chest CT follow-up in COVID-19 Survivors: 102–361 days after onset

Yin, X., Xi, X., Min, X., Feng, Z., Li, B., Cai, W., Fan, C., Wang, L., & Xia, L. (2021) · Annals of Translational Medicine · doi:10.21037/atm-21-1438 · Cited by 23

New Optimized Deep Learning Application for COVID-19 Detection in Chest X-ray Images

Karim, A., Kaya, H., Alcan, V., Şen, B., & Hadımlıoğlu, İ. A. (2022) · Symmetry · doi:10.3390/sym14051003 · Cited by 23

Quantitative and semi-quantitative CT assessments of lung lesion burden in COVID-19 pneumonia

Guan, X., Yao, L.-D., Tan, Y., Shen, Z., Zheng, H., Zhou, H., Gao, Y., Li, Y., Ji, W., Zhang, H., et al. (2021) · Scientific Reports · doi:10.1038/s41598-021-84561-7 · Cited by 23

Learning to learn by yourself: Unsupervised meta‐learning with self‐knowledge distillation for COVID‐19 diagnosis from pneumonia cases

Zheng, W., Yan, L., Gou, C., Zhang, Z., Zhang, J. J., Hu, M., & Wang, F. (2021) · International Journal of Intelligent Systems · doi:10.1002/int.22449 · Cited by 23

IoT-enabled stacked ensemble of deep neural networks for the diagnosis of COVID-19 using chest CT scans

Shorfuzzaman, M. (2021) · Computing · doi:10.1007/s00607-021-00971-5 · Cited by 23

Chest CT severity score: assessment of COVID‑19 severity and short-term prognosis in hospitalized Iranian patients

Aziz‐Ahari, A., Keyhanian, M., Mamishi, S., Mahmoudi, S., Bastani, E. E., Asadi, F., & Khaleghi, M. (2022) · Wiener Medizinische Wochenschrift · doi:10.1007/s10354-022-00914-5 · Cited by 23

COVID-19 paraclinical diagnostic tools: Updates and future trends

Alsuliman, T., Sulaiman, R., Ismail, S., Srour, M., & Alrstom, A. (2020) · Current Research in Translational Medicine · doi:10.1016/j.retram.2020.06.001 · Cited by 22

Regulatory T cells: A potential weapon to combat COVID‐19?

Liu, Y., Qi, G., Bellanti, J. A., Moser, R., Ryffel, B., & Zheng, S. G. (2020) · MedComm · doi:10.1002/mco2.12 · Cited by 22

Radiomics‐based model for accurately distinguishing between severe acute respiratory syndrome associated coronavirus 2 (SARS‐CoV‐2) and influenza A infected pneumonia

Zeng, Q., Zheng, K. I., Chen, J., Jiang, Z., Tian, T., Wang, X., Ma, H., Pan, K., Yang, Y., Chen, Y., et al. (2020) · MedComm · doi:10.1002/mco2.14 · Cited by 22

A comparison of clinical, laboratory and chest CT findings of laboratory-confirmed and clinically diagnosed COVID-19 patients at first admission

Kuzan, T. Y., Altıntoprak, K. M., Çiftçi, H. Ö., Ergul, U., Ozdemir, N. B. U., Bulut, M., & Yigit, N. (2020) · Diagnostic and Interventional Radiology · doi:10.5152/dir.2020.20270 · Cited by 22

Dual-Energy Computed Tomography of the Lung in COVID-19 Patients: Mismatch of Perfusion Defects and Pulmonary Opacities

Afat, S., Othman, A. E., Nikolaou, K., & Gassenmaier, S. (2020) · Diagnostics · doi:10.3390/diagnostics10110870 · Cited by 22

The chest CT features of coronavirus disease 2019 (COVID-19) in China: a meta-analysis of 19 retrospective studies

Yang, H., Lan, Y., Yao, X., Lin, S., & Xie, B. (2020) · Virology Journal · doi:10.1186/s12985-020-01432-9 · Cited by 22

Contribution of CT Features in the Diagnosis of COVID-19

Zuo, H.-D. (2020) · Canadian Respiratory Journal · doi:10.1155/2020/1237418 · Cited by 22

Challenges in COVID-19 drug treatment in patients with advanced liver diseases: A hepatology perspective

Hanafy, A. S., & Abd-Elsalam, S. M. (2020) · World Journal of Gastroenterology · doi:10.3748/wjg.v26.i46.7272 · Cited by 22

Lung CT image aided detection COVID-19 based on Alexnet network

Wang, T., Zhao, Y., Zhu, L., Liu, G., Ma, Z., & Zheng, J. (2020) · International Conference on Communication, Image and Signal Processing (CCISP) · doi:10.1109/ccisp51026.2020.9273512 · Cited by 22

Chest CT features associated with the clinical characteristics of patients with COVID-19 pneumonia

Niu, R., Ye, S., Li, Y., Ma, H., Xie, X., Hu, S., Huang, X., Ou, Y., & Chen, J. (2021) · Annals of Medicine · doi:10.1080/07853890.2020.1851044 · Cited by 22

Integration of CNN, CBMIR, and Visualization Techniques for Diagnosis and Quantification of Covid-19 Disease

Mohagheghi, S., Alizadeh, M., Safavi, S. M., Foruzan, A. H., & Chen, Y. (2021) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2021.3067333 · Cited by 23

Comparison of the CO-RADS and the RSNA chest CT classification system concerning sensitivity and reliability for the diagnosis of COVID-19 pneumonia

Abdel-Tawab, M., Basha, M. A. A., Mohamed, I. A. I., Ibrahim, H. M., Zaitoun, M., Elsayed, S. B., Mahmoud, N., Sammak, A. A. E., Yousef, H. Y., Aly, S. A., et al. (2021) · Insights into Imaging · doi:10.1186/s13244-021-00998-4 · Cited by 22

Detection of Covid-19 from Chest CT Images using Xception Architecture: A Deep Transfer Learning based Approach

Polat, Ö. (2021) · Sakarya University Journal of Science · doi:10.16984/saufenbilder.903886 · Cited by 22

Is chest X-ray severity scoring for COVID-19 pneumonia reliable?

Abo-Hedibah, S. A., Tharwat, N., & Elmokadem, A. H. (2021) · Polish Journal of Radiology · doi:10.5114/pjr.2021.108172 · Cited by 22

Long-lasting consequences of coronavirus disease 19 pneumonia: a systematic review

Patrucco, F., Zeppegno, P., Baricich, A., Gramaglia, C. M., Balbo, P. E., Falaschi, Z., Carriero, A., Cuneo, D., Pirisi, M., & Bellan, M. (2021) · Minerva Medica · doi:10.23736/s0026-4806.21.07594-7 · Cited by 22

COVLIAS 1.0Lesion vs. MedSeg: An Artificial Intelligence Framework for Automated Lesion Segmentation in COVID-19 Lung Computed Tomography Scans

Suri, J. S., Agarwal, S., Chabert, G. L., Carriero, A., Paschè, A., Danna, P. S. C., Saba, L., Mehmedović, A., Faa, G., Singh, I. M., et al. (2022) · Diagnostics · doi:10.3390/diagnostics12051283 · Cited by 22

Infection Control and Management Strategy for COVID-19 in the Radiology Department: Focusing on Experiences from China

Chen, Q., Zu, Z., Jiang, M. D., Ling-quan, L., Lu, G., & Zhang, L. J. (2020) · Korean Journal of Radiology · doi:10.3348/kjr.2020.0342 · Cited by 22

THE RAPID ESCALATION OF PUBLICATIONS ON COVID-19: A SNAPSHOT OF TRENDS IN THE EARLY MONTHS TO OVERCOME THE PANDEMIC AND TO IMPROVE LIFE QUALITY

Reis, J. S. D. M., Silva, F. D. O., Espuny, M., Alexandre, L. G. L., Munhoz, A. C., Faria, A. M., Sampaio, N. A. D. S., Santos, G., & de Oliveira, O. J. (2020) · International Journal for Quality Research · doi:10.24874/ijqr14.03-19 · Cited by 22

Quantitative CT imaging and advanced visualization methods: potential application in novel coronavirus disease 2019 (COVID-19) pneumonia

Nagpal, P., Guo, J., Shin, K. M., Lim, J., Kim, K. B., Comellas, A. P., Kaczka, D. W., Peterson, S., Lee, C. H., & Hoffman, E. A. (2021) · BJR|Open · doi:10.1259/bjro.20200043 · Cited by 22

Chest computed tomography in COVID-19 pneumonia: a retrospective study of 155 patients at a university hospital in Rio de Janeiro, Brazil

Mogami, R., Lopes, A. J., Filho, R. C. A., de Almeida, F. C. S., Messeder, A. M. D. C., Koifman, A. C. B., Guimarães, A. B., & Monteiro, A. M. V. (2021) · Radiologia Brasileira · doi:10.1590/0100-3984.2020.0133 · Cited by 22

Structured thoracic computed tomography report for COVID-19 pandemic

Shoji, H., Fonseca, E. K. U. N., Teles, G. B. D. S., Passos, R. B. D., Yanata, E., Silva, M. M. A., Funari, M. B. D. G., Neto, R. S., Ishikawa, W. Y., Chate, R. C., et al. (2020) · Einstein (São Paulo) · doi:10.31744/einstein_journal/2020ed5720 · Cited by 22

3D Tomographic Pattern Synthesis for Enhancing the Quantification of COVID-19Preprint

Liu, S., Georgescu, B., Xu, Z., Yoo, Y., Chabin, G., Chaganti, S., Grbić, S., Piat, S., Teixeira, B., Balachandran, A., et al. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2005.01903 · Cited by 22

Novel coronavirus (COVID-19) infection: What a doctor on the frontline needs to know

Down, B., Kulkarni, S., Khan, A. H. A., Barker, B., & Tang, I. (2020) · Annals of Medicine and Surgery · doi:10.1016/j.amsu.2020.05.014 · Cited by 21

Lung ultrasonography in patients with COVID-19: comparison with CT

Ottaviani, S., Franc, M. M., Ebstein, E., Demaria, L., Lheure, C., Debray, M., Khalil, A., Crestani, B., Borie, R., & Dieudé, P. (2020) · Clinical Radiology · doi:10.1016/j.crad.2020.07.024 · Cited by 21

Maternal and Perinatal Outcomes in Patients with Suspected COVID-19 and Their Relationship with a Negative RT-PCR Result

Cuñarro-López, Y., Cano-Valderrama, Ó., Recarte, P. P., Cueto-Hernández, I., Garzón, B. G., Larroca, S. G., Buján, J., Asúnsolo, Á., Ortega, M. A., & León-Luis, J. A. D. (2020) · Journal of Clinical Medicine · doi:10.3390/jcm9113552 · Cited by 21

Differentiation of COVID-19 Pneumonitis and ICI Induced Pneumonitis

Dumoulin, D. W., Gietema, H. A., Paats, M. S., Hendriks, L. E. L., & Cornelissen, R. (2020) · Frontiers in Oncology · doi:10.3389/fonc.2020.577696 · Cited by 21

Postmortem CT lung findings in decedents with Covid-19: A review of 14 decedents and potential triage implications

Helmrich, E., Decker, L. A., Adolphi, N. L., & Makino, Y. (2020) · Forensic Imaging · doi:10.1016/j.fri.2020.200419 · Cited by 21

Clinical and laboratory findings of COVID-19: A systematic review and meta-analysis

Khamis, A. H., Jaber, M. A., Azar, A. J., AlQahtani, F. A., Bishawi, K., & Shanably, A. (2020) · Journal of the Formosan Medical Association · doi:10.1016/j.jfma.2020.12.003 · Cited by 21

Diagnostic classification of coronavirus disease 2019 (COVID-19) and other pneumonias using radiomics features in CT chest images

Yang, N., Liu, F., Li, C., Xiao, W., Xie, S., Yuan, S., Zuo, W., Ma, X., & Jiang, G. (2021) · Scientific Reports · doi:10.1038/s41598-021-97497-9 · Cited by 21

Utility of visual coronary artery calcification on non-cardiac gated thoracic CT in predicting clinical severity and outcome in COVID-19

Nair, A., Kumar, D., Yadav, S. K., Nepal, P., Jacob, B., & Heidous, M. A. (2021) · Clinical Imaging · doi:10.1016/j.clinimag.2021.01.015 · Cited by 21

Current Understanding of Novel Coronavirus: Molecular Pathogenesis, Diagnosis, and Treatment Approaches

Jha, N. K., Jeyaraman, M., Rachamalla, M., Ojha, S. K., Dua, K., Chellappan, D. K., Muthu, S., Sharma, A., Jha, S. K., Jain, R., et al. (2021) · Immuno · doi:10.3390/immuno1010004 · Cited by 21

SARS-CoV-2: Current trends in emerging variants, pathogenesis, immune responses, potential therapeutic, and vaccine development strategies

Jeda, A. S., Abbassi, S., Mousavizadeh, A., Esghaie, M., Bokharaei‐Salim, F., Jeddi, F., Shafaati, M., & Abdoli, A. (2021) · International Immunopharmacology · doi:10.1016/j.intimp.2021.108232 · Cited by 22

Risk factors for impaired pulmonary diffusion function in convalescent COVID-19 patients: A systematic review and meta-analysis

Zhi, H., Ji, X., Zhao, Z., Liang, H., Zhong, S., Luo, Y., Zhong, M., Zhan, C., Gao, Y., Deng, X., et al. (2022) · EClinicalMedicine · doi:10.1016/j.eclinm.2022.101473 · Cited by 21

Detecting COVID-19 from digitized ECG printouts using 1D convolutional neural networks

Nguyen, T., Pham, H., Le, K. H., Nguyen, A.-T., Thanh, T., & Do, C. (2022) · PLoS ONE · doi:10.1371/journal.pone.0277081 · Cited by 21

Towards an ML-based semantic IoT for pandemic management: A survey of enabling technologies for COVID-19

Zgheib, R., Chahbandarian, G., Kamalov, F., Messiry, H. E., & Al-Gindy, A. (2023) · Neurocomputing · doi:10.1016/j.neucom.2023.01.007 · Cited by 21

A CT-based radiomics nomogram for predicting prognosis of coronavirus disease 2019 (COVID-19) radiomics nomogram predicting COVID-19

Chen, H., Zeng, M., Wang, X., Su, L., Xia, Y., Yang, Q., & Liu, D. (2020) · British Journal of Radiology · doi:10.1259/bjr.20200634 · Cited by 21

Tensor Gradient L₀-Norm Minimization-Based Low-Dose CT and Its Application to COVID-19

Wu, W., Shi, J., Yu, H., Wu, W., & Vardhanabhuti, V. (2021) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2021.3050190 · Cited by 21

LiMS-Net: A Lightweight Multi-Scale CNN for COVID-19 Detection from Chest CT Scans

Joshi, A. M., Nayak, D. R., Das, D., & Zhang, Y. (2022) · ACM Transactions on Management Information Systems · doi:10.1145/3551647 · Cited by 21

CT imaging features of 34 patients infected with COVID-19

Zhang, L., Kong, X., Li, X., Zhu, J., Liu, S., Li, W., Xu, C., Du, H., Jing, H., Xu, J., et al. (2020) · Clinical Imaging · doi:10.1016/j.clinimag.2020.05.016 · Cited by 21

Rare CT feature in a COVID-19 patient: cavitation

Xu, Z., Aizhen, P., & Zhou, H. (2020) · Diagnostic and Interventional Radiology · doi:10.5152/dir.2020.20181 · Cited by 20

Detection of Unsuspected Coronavirus Disease 2019 Cases by Computed Tomography and Retrospective Implementation of the Radiological Society of North America/Society of Thoracic Radiology/American College of Radiology Consensus Guidelines

Lang, M., Som, A., Mendoza, D. P., Flores, E. J., Li, M., Shepard, J.-A. O., & Little, B. P. (2020) · Journal of Thoracic Imaging · doi:10.1097/rti.0000000000000542 · Cited by 20

Chest Computed Tomography and Lung Ultrasound Findings in COVID-19 Pneumonia: A Pocket Review for Non-radiologists

Pata, D., Valentini, P., Rose, C. D., Santis, R. D., Morello, R., & Buonsenso, D. (2020) · Frontiers in Medicine · doi:10.3389/fmed.2020.00375 · Cited by 20

Spontaneous pneumomediastinum in a male adult with COVID-19 pneumonia

Janssen, J., Kamps, M. J. A., Joosten, T. M. B., & Barten, D. G. (2020) · The American Journal of Emergency Medicine · doi:10.1016/j.ajem.2020.07.066 · Cited by 20

Reverse-transcriptase polymerase chain reaction versus chest computed tomography for detecting early symptoms of COVID-19. A diagnostic accuracy systematic review and meta-analysis

Duarte, M. L., dos Santos, L. R., Contenças, A. C. D. S., Iared, W., Peccin, M. S., & Atallah, Á. N. (2020) · Sao Paulo Medical Journal · doi:10.1590/1516-3180.2020.034306072020 · Cited by 20

Diagnostic performance of low-dose chest CT to detect COVID-19: A Turkish population study

Aslan, S., Bekçi, T., Çakır, İ. M., Ekiz, M., Yavuz, İ., & Şahin, A. M. (2020) · Diagnostic and Interventional Radiology · doi:10.5152/dir.2020.20350 · Cited by 20

Temporal relationship between serial RT-PCR results and serial chest CT imaging, and serial CT changes in coronavirus 2019 (COVID-19) pneumonia: a descriptive study of 155 cases in China

Gu, J.-F., Li, Y., Li, T., Liu, Y., Zhang, J., Ning, K., & Su, D. (2020) · European Radiology · doi:10.1007/s00330-020-07268-9 · Cited by 20

COVID-19 Stroke Apical Lung Examination Study: A Diagnostic and Prognostic Imaging Biomarker in Suspected Acute Stroke

Siddiqui, J., Bala, F., Sciacca, S., Falzon, A., Benger, M., Matloob, S. A., Miller, F., Simister, R. J., Chatterjee, I., Sztriha, L., et al. (2020) · American Journal of Neuroradiology · doi:10.3174/ajnr.a6832 · Cited by 20

A Survey on Artificial Intelligence in Chest Imaging of COVID-19

Chen, Y., Jiang, G., Li, Y., Tang, Y., Xu, Y., Ding, S., Xin, Y., & Lu, Y. (2020) · BIO Integration · doi:10.15212/bioi-2020-0015 · Cited by 20

A Pictorial Review of the Role of Imaging in the Detection, Management, Histopathological Correlations, and Complications of COVID-19 Pneumonia

Brogna, B., Bignardi, E., Brogna, C., Volpe, M., Lombardi, G., Rosa, A., Gagliardi, G., Capasso, P. F. M., Gravino, E., Maio, F., et al. (2021) · Diagnostics · doi:10.3390/diagnostics11030437 · Cited by 20

Vaccinia virus-based vaccines confer protective immunity against SARS-CoV-2 virus in Syrian hamsters

Kulkarni, R., Chen, W.-C., Lee, Y., Kao, C., Hu, S.-L., Ma, H., Jan, J., Liao, C., Liang, J., Ko, H., et al. (2021) · PLoS ONE · doi:10.1371/journal.pone.0257191 · Cited by 21

COVID-19 Acute Respiratory Distress Syndrome

Empson, S., Rogers, A. J., & Wilson, J. G. (2022) · Critical Care Clinics · doi:10.1016/j.ccc.2022.02.001 · Cited by 20

CoVSeverity-Net: an efficient deep learning model for COVID-19 severity estimation from Chest X-Ray images

Deb, S. D., Jha, R. K., Kumar, R., Tripathi, P. S., Talera, Y., & Kumar, M. (2023) · Research on Biomedical Engineering · doi:10.1007/s42600-022-00254-8 · Cited by 21

Covid-19: Round and oval areas of ground-glass opacity

Schmitt, W. R., & Marchiori, E. D. S. (2020) · Pulmonology · doi:10.1016/j.pulmoe.2020.04.011 · Cited by 20

Coronavirus in Continuous Flux: From SARS‐CoV to SARS‐CoV‐2

Dong, Y., Dai, T., Liu, J., Zhang, L., & Zhou, F. (2020) · Advanced Science · doi:10.1002/advs.202001474 · Cited by 20

Disease progression patterns and risk factors associated with mortality in deceased patients with COVID‐19 in Hubei Province, China

Chen, L., Liu, S., Tian, J., Pan, H., Liu, Y., Hu, J., Wang, M., & Hou, X. (2020) · Immunity Inflammation and Disease · doi:10.1002/iid3.343 · Cited by 20

Cancer Imaging and Patient Care during the COVID-19 Pandemic

Boettcher, A. N., Hammoud, D. A., Weinberg, J. B., Agarwal, P., Mendiratta‐Lala, M., & Luker, G. D. (2020) · Radiology Imaging Cancer · doi:10.1148/rycan.2020200058 · Cited by 23

Temporal evolution, most influential studies and sleeping beauties of the coronavirus literature

Haghani, M., & Varamini, P. (2021) · Scientometrics · doi:10.1007/s11192-021-04036-4 · Cited by 20

Diagnostic imaging in COVID-19 pneumonia: a literature review

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