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

Cited by (1,002)

Items 301–400 of 1,002

1. Association between cytokine profiles and lung injury in COVID-19 pneumonia
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2. Transfer learning-based convolutional neural network for COVID-19 detection with X-ray images
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3. COVID-19 X-ray image segmentation by modified whale optimization algorithm with population reduction
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4. Lung Ultrasound in Patients with Acute Respiratory Failure Reduces Conventional Imaging and Health Care Provider Exposure to COVID-19
   Silvia Mongodi, Anita Orlando, Eric Arisi, Guido Tavazzi, Erminio Santangelo, Luca Caneva, Marco Pozzi, Eleonora Pariani, Giada Bettini, Giuseppe Maggio et al. · 2020 · Ultrasound in Medicine & Biology
5. Sociodemographic, clinical and laboratory factors on admission associated with COVID-19 mortality in hospitalized patients: A retrospective observational study
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6. Hypoalbuminemia in COVID‐19: assessing the hypothesis for underlying pulmonary capillary leakage
   Maddalena Alessandra Wu, Tommaso Fossali, Laura Pandolfi, Luca Carsana, Davide Ottolina, Vanessa Frangipane, Roberto Rech, Antonella Tosoni, Gianluca Lopez, Andrea Agarossi et al. · 2021 · Journal of Internal Medicine
7. An Effective Deep Neural Network for Lung Lesions Segmentation From COVID-19 CT Images
   Cheng Chen, Kangneng Zhou, Muxi Zha, Xiangyan Qu, Xiaoyu Guo, Hongyu Chen, Zhiliang Wang, Ruoxiu Xiao · 2021 · IEEE Transactions on Industrial Informatics
8. Can Chest CT Features Distinguish Patients With Negative From Those With Positive Initial RT-PCR Results for Coronavirus Disease (COVID-19)?
   Dandan Chen, Xinqing Jiang, Yong Kuk Hong, Zhihui Wen, Shuquan Wei, Guangming Peng, Xinhua Wei · 2020 · American Journal of Roentgenology
9. Diagnostic and Treatment Strategies for COVID-19
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10. Assessing countries’ performances against COVID-19 via WSIDEA and machine learning algorithms
    Nezir Aydın, Gökhan Yurdakul · 2020 · Applied Soft Computing
11. Striding towards Sustainability: A Framework to Overcome Challenges and Explore Opportunities through Industry 4.0
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12. An automated chest X-ray analysis for COVID-19, tuberculosis, and pneumonia employing ensemble learning approach
    Sareer Ul Amin, Sher Taj, Adnan Hussain, Sanghyun Seo · 2023 · Biomedical Signal Processing and Control
13. Radiological findings for diagnosis of SARS-CoV-2 pneumonia (COVID-19)
    Raquel Sánchez-Oro, Julio Pablo Torres Nuez, Gloria Martínez-Sanz · 2020 · Medicina Clínica (English Edition)
14. COVIDiag: a clinical CAD system to diagnose COVID-19 pneumonia based on CT findings
    Ali Abbasian Ardakani, U. Rajendra Acharya, Sina Habibollahi, Afshin Mohammadi · 2020 · European Radiology
15. A multisystem, cardio-renal investigation of post-COVID-19 illness
    Andrew Morrow, Robert Sykes, Alasdair McIntosh, Anna L. Kamdar, Catherine N. Bagot, Hannah Kelly Bayes, Kevin G. Blyth, Michael Briscoe, Heerajnarain Bulluck, David Carrick et al. · 2022 · Nature Medicine
16. CT Manifestations and Clinical Characteristics of 1115 Patients with Coronavirus Disease 2019 (COVID-19): A Systematic Review and Meta-analysis
    Shang Wan, Mingqi Li, Zheng Ye, Caiwei Yang, Qian Cai, Shaofeng Duan, Bin Song · 2020 · Academic Radiology
17. Coronavirus disease 2019 (COVID-19) in children: a systematic review of imaging findings
    Susan Cheng Shelmerdine, Jovan Lovrenski, Pablo Caro‐Domínguez, Seema Toso, Collaborators of the European Society of Paediatric Radiology Cardiothoracic Imaging Taskforce, Efi Alexopoulou, Judith Almanza-Aranda, Alistair Duncan Calder, Pierluigi Ciet, Beatrice Damasio et al. · 2020 · Pediatric Radiology
18. ResGNet-C: A graph convolutional neural network for detection of COVID-19
    Xiang Yu, Siyuan Lu, Lili Guo, Shuihua Wang‎, Yudong Zhang · 2020 · Neurocomputing
19. A deep learning-based quantitative computed tomography model for predicting the severity of COVID-19: a retrospective study of 196 patients
    Weiya Shi, Xueqing Peng, Tiefu Liu, Zenghui Cheng, Hongzhou Lu, Shuyi Yang, Jiulong Zhang, Feng Li, Mei Wang, Xinlei Zhang et al. · 2020 · Annals of Translational Medicine
20. A quantum-clustering optimization method for COVID-19 CT scan image segmentation
    Pritpal Singh, Surya Sekhar Bose · 2021 · Expert Systems with Applications
21. Diagnostic performance of chest CT to differentiate COVID-19 pneumonia in non-high-epidemic area in Japan
    Yuki Himoto, Akihiko Sakata, Mitsuhiro Kirita, Takashi Hiroi, Ken‐ichiro Kobayashi, Kenji Kubo, Hyun‐Jin Kim, Azusa Nishimoto, Chikara Maeda, Akira Kawamura et al. · 2020 · Japanese Journal of Radiology
22. A Review of SARS-CoV2: Compared With SARS-CoV and MERS-CoV
    Huan Zhou, Junfa Yang, Chang Sheng Zhou, Bangjie Chen, Hui Fang, Shuo Chen, Xian‐Zheng Zhang, Linding Wang, Lingling Zhang · 2021 · Frontiers in Medicine
23. Chest CT–based Assessment of 1-year Outcomes after Moderate COVID-19 Pneumonia
    Marialuisa Bocchino, Roberta Lieto, Federica Romano, Giacomo Sica, Giorgio Bocchini, Emanuele Muto, Ludovica Capitelli, Davide Sequino, Tullio Valente, Giuseppe Fiorentino et al. · 2022 · Radiology
24. A Comparison of Clinical and Chest CT Findings in Patients With Influenza A (H1N1) Virus Infection and Coronavirus Disease (COVID-19)
    Zhilan Yin, Zhen Kang, Danhui Yang, Shuizi Ding, Hong Luo, Enhua Xiao · 2020 · American Journal of Roentgenology
25. Epidemiological and Clinical Characteristics of Cases During the Early Phase of COVID-19 Pandemic: A Systematic Review and Meta-Analysis
    Jiayun Koh, Shimoni Urvish Shah, Pearleen Ee Yong Chua, Hao Gui, Junxiong Pang · 2020 · Frontiers in Medicine
26. Advancements in research and development to combat COVID-19 using nanotechnology
    Vishal Chaudhary, Abhishek Royal, Murthy S. Chavali, S. K. Yadav · 2021 · Nanotechnology for Environmental Engineering
27. Thin-Section Chest CT Imaging of COVID-19 Pneumonia: A Comparison Between Patients with Mild and Severe Disease
    Minhua Yu, Dan Xu, Lan Lan, Mengqi Tu, Rufang Liao, Shuhan Cai, Yiyuan Cao, Liying Xu, Meiyan Liao, Xiaochun Zhang et al. · 2020 · Radiology Cardiothoracic Imaging
28. Respiratory conditions in coronavirus disease 2019 (COVID-19): Important considerations regarding novel treatment strategies to reduce mortality
    Mark R. Geier, David A. Geier · 2020 · Medical Hypotheses
29. The Global Emergency of Novel Coronavirus (SARS-CoV-2): An Update of the Current Status and Forecasting
    Hossein Hozhabri, Francesca Piceci‐Sparascio, Hamidreza Sohrabi, Leila Mousavifar, René Roy, Daniela Scribano, Alessandro De Luca, Cecilia Ambrosi, Meysam Sarshar · 2020 · International Journal of Environmental Research and Public Health
30. Thoracic imaging tests for the diagnosis of COVID-19
    Jean‐Paul Salameh, Mariska Leeflang, Lotty Hooft, Nayaar Islam, Trevor Adam McGrath, Christian B. van der Pol, Robert A Frank, Ross T. Prager, Samanjit S Hare, Carole J. Dennie et al. · 2020 · Cochrane Database of Systematic Reviews
31. An efficient deep learning-based framework for tuberculosis detection using chest X-ray images
    Ahmed Iqbal, Muhammad Usman, Zohair Ahmed · 2022 · Tuberculosis
32. Presentation of pulmonary infection on CT in COVID-19: initial experience in Brazil
    Rodrigo Caruso Chate, Eduardo Kaiser Ururahy Nunes Fonseca, Rodrigo Bastos Duarte Passos, Gustavo Borges da Silva Teles, Hamilton Shoji, Gilberto Szarf · 2020 · Jornal Brasileiro de Pneumologia
33. CT Features of Coronavirus Disease (COVID-19) in 30 Pediatric Patients
    Sharon Steinberger, Bin Lin, Adam Bernheim, Michael Chung, Yuantong Gao, Zongyu Xie, Tongtong Zhao, Junli Xia, Xueyan Mei, Brent P. Little · 2020 · American Journal of Roentgenology
34. Clinical Characteristics of Coronavirus Disease 2019
    Rara Julia Timbara Harahap · 2019 · Jurnal Penelitian Perawat Profesional
35. Evidence of Pulmonary Hypertension after SARS-CoV-2 Infection in Subjects without Previous Significant Cardiovascular Pathology
    Cristina Tudoran, Mariana Tudoran, Voichița Elena Lăzureanu, Adelina Raluca Marinescu, Gheorghe Nicușor Pop, Silvius Alexandru Pescariu, Alexandra Enache, Talida Georgiana Cut · 2021 · Journal of Clinical Medicine
36. Transfer learning for establishment of recognition of COVID-19 on CT imaging using small-sized training datasets
    Chun Li, Yunyun Yang, Hui Liang, Boying Wu · 2021 · Knowledge-Based Systems
37. The Promise of AI in Detection, Diagnosis, and Epidemiology for Combating COVID-19: Beyond the Hype
    Musa Abdulkareem, Steffen Erhard Petersen · 2021 · Frontiers in Artificial Intelligence
38. Photoelectrochemical sensors based on paper and their emerging applications in point-of-care testing
    Yixiang Wang, Yumeng Rong, Tinglei Ma, Lin Li, Li Xu, Peihua Zhu, Shuang Zhou, Jinghua Yu, Yan Zhang · 2023 · Biosensors and Bioelectronics
39. Efficacy of Chest CT for COVID-19 Pneumonia Diagnosis in France
    Guillaume Herpe, Mathieu Léderlin, Mathieu Naudin, Mickaël Ohana, Kathia Chaumoître, Jules Grégory, Valérie Vilgrain, Cornelia Anna Freitag, Constance de Margerie‐Mellon, Violaine Flory et al. · 2020 · Radiology
40. Radiological approach to COVID-19 pneumonia with an emphasis on chest CT
    Serkan Güneyli, Zeynep Atçeken, Hakan Doğan, Emre Altınmakas, Kayhan Cetin Atasoy · 2020 · Diagnostic and Interventional Radiology
41. Chest computed tomography findings of coronavirus disease 2019 (COVID-19) pneumonia
    Fangfang Fu, Jianghua Lou, Xi Deyan, Yan Bai, Gongbao Ma, Bin Zhao, Dong Liu, Guofeng Bao, Lei Zhidan, Meiyun Wang · 2020 · European Radiology
42. Erratum: Extension of Coronavirus Disease 2019 (COVID-19) on Chest CT and Implications for Chest Radiograph Interpretation
    Hyewon Choi, Xiaolong Qi, Soon Ho Yoon, Sang Joon Park, Kyung Hee Lee, Jin Yong Kim, Young Kyung Lee, Hongseok Ko, Ki Hwan Kim, Chang Min Park et al. · 2020 · Radiology Cardiothoracic Imaging
43. Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence
    Bai, Xiang, Wang, Hanchen, Ma, Liya, Xu, Yongchao, Gan, Jiefeng, Fan, Ziwei, Yang, Fan, Ma, Ke, Yang, Jiehua, Bai, Song et al. · 2021 · Nature Machine Intelligence
44. Progress and prospect on imaging diagnosis of COVID-19
    Li Fan, Li Dong, Huadan Xue, Long Jiang Zhang, Zaiyi Liu, Bing Zhang, Lina Zhang, Wenjie Yang, Baojun Xie, Xiaoyi Duan et al. · 2020 · Chinese Journal of Academic Radiology
45. Imaging of coronavirus disease 2019: A Chinese expert consensus statement
    Qi Yang, Qiang Liu, Haibo Xu, Hong Zhou Lu, Shiyuan Anabeth Liu, Hongjun Li · 2020 · European Journal of Radiology
46. COVID‐19 under spotlight: A close look at the origin, transmission, diagnosis, and treatment of the 2019‐nCoV disease
    Roghayeh Sheervalilou, Milad Shirvaliloo, Nahid Dadashzadeh, Sakine Shirvalilou, Omolbanin Shahraki, Younes Pilehvar‐Soltanahmadi, Habib Ghaznavi, Samideh Khoei, Ziba Nazarlou · 2020 · Journal of Cellular Physiology
47. End-to-end automatic differentiation of the coronavirus disease 2019 (COVID-19) from viral pneumonia based on chest CT
    Jiangdian Song, Hongmei Wang, Yuchan Liu, Wenqing Wu, Gang Dai, Zongshan Wu, Puhe Zhu, Wei Zhang, Kristen W. Yeom, Kexue Deng · 2020 · European Journal of Nuclear Medicine and Molecular Imaging
48. Integrative analysis for COVID-19 patient outcome prediction
    Hanqing Chao, Xi Fang, Jiajin Zhang, Fatemeh Homayounieh, Chiara Daniela Arru, Subba Rao Digumarthy, Rosa Babaei, Hadi Karimi Mobin, Iman Mohseni, Luca Saba et al. · 2020 · Medical Image Analysis
49. Chest CT accuracy in diagnosing COVID-19 during the peak of the Italian epidemic: A retrospective correlation with RT-PCR testing and analysis of discordant cases
    Zeno Falaschi, Pietro S. C. Danna, Roberto Arioli, Alessio Paschè, Domenico Zagaria, Ilaria Percivale, Stefano Tricca, Michela Barini, Ferruccio Aquilini, Stefano Andreoni et al. · 2020 · European Journal of Radiology
50. S2k-Leitlinie – Empfehlungen zur stationären Therapie von Patienten mit COVID-19
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51. A Recent Update on Advanced Molecular Diagnostic Techniques for COVID-19 Pandemic: An Overview
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52. In-flight transmission cluster of COVID-19: a retrospective case series
    Naibin Yang, Yuefei Shen, Chunwei Shi, Ada Hoi Yan Ma, Xie Zhang, Xiaomin Jian, Liping Wang, Jiejun Shi, Chunyang Wu, Guoxiang Li et al. · 2020 · Scandinavian Journal of Infectious Diseases
53. Low-Dose Radiation Therapy in the Management of Coronavirus Disease 2019 (COVID-19) Pneumonia (LOWRAD-Cov19): Preliminary Report
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54. Acute kidney injury in patients hospitalized with COVID-19 in Wuhan, China: A single-center retrospective observational study
    Guanhua Xiao, Hongbin Hu, Feng Wu, Tong Sha, 黄巧冰, haijun Li, Jiafa Han, Wenhong Song, Zhongqing Chen, Zhenhua Zeng · 2020 · medRxiv
55. Emergency Caesarean delivery in a patient with confirmed COVID-19 under spinal anaesthesia
    Haifa Xia, Shuai Zhao, Zhouyang Wu, Huilin Luo, Cheng Zhou, Xiangdong Chen · 2020 · British Journal of Anaesthesia
56. Personalized Predictive Models for Symptomatic COVID-19 Patients Using Basic Preconditions: Hospitalizations, Mortality, and the Need for an ICU or Ventilator
    Salomón Wollenstein-Betech, Christos G. Cassandras, Ioannis Ch. Paschalidis · 2020 · International Journal of Medical Informatics
57. M$^3$Lung-Sys: A Deep Learning System for Multi-Class Lung Pneumonia Screening From CT Imaging
    Xuelin Qian, Huazhu Fu, Weiya Shi, Tao Chen, Yanwei Fu, Fei Shan, Xiangyang Xue · 2020 · IEEE Journal of Biomedical and Health Informatics
58. Imaging of COVID-19: CT, MRI, and PET
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59. A narrative review of coronavirus disease 2019 (COVID-19): clinical, epidemiological characteristics, and systemic manifestations
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60. Seasonality and immunity to laboratory-confirmed seasonal coronaviruses (HCoV-NL63, HCoV-OC43, and HCoV-229E): results from the Flu Watch cohort study
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61. More effective strategies are required to strengthen public awareness of COVID-19: Evidence from Google Trends.
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62. A SARS-CoV-2 vaccine candidate: In-silico cloning and validation
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63. Optimized Deep Learning-Inspired Model for the Diagnosis and Prediction of COVID-19
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64. Lightweight deep CNN-based models for early detection of COVID-19 patients from chest X-ray images
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65. Ultra-high-resolution computed tomography can demonstrate alveolar collapse in novel coronavirus (COVID-19) pneumonia
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66. Chest CT features of the novel coronavirus disease (COVID-19)
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67. Determinants of Chest Radiography Sensitivity for COVID-19: A Multi-Institutional Study in the United States
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68. Relationship of the cycle threshold values of SARS-CoV-2 polymerase chain reaction and total severity score of computerized tomography in patients with COVID 19
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69. The Prevalence of Gastrointestinal Symptoms, Abnormal Liver Function, Digestive System Disease and Liver Disease in COVID-19 Infection
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70. AANet: Adaptive Attention Network for COVID-19 Detection From Chest X-Ray Images
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71. Radiologist-Level COVID-19 Detection Using CT Scans with Detail-Oriented Capsule Networks
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72. Management of patients with suspected or confirmed COVID-19, in the radiology department
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73. Recommendations for Trauma and Emergency General Surgery Practice During COVID-19 Pandemic
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74. Clinical characteristics and chest CT imaging features of critically ill COVID-19 patients
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75. Clinical presentations, laboratory and radiological findings, and treatments for 11,028 COVID-19 patients: a systematic review and meta-analysis
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76. Eight months follow-up study on pulmonary function, lung radiographic, and related physiological characteristics in COVID-19 survivors
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77. Clinical Features of COVID-19 and Factors Associated with Severe Clinical Course: A Systematic Review and Meta-Analysis
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78. HRCT imaging features in representative imported cases of 2019 novel coronavirus pneumonia
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79. Review of chest CT manifestations of COVID-19 infection
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80. Complete post-mortem data in a fatal case of COVID-19: clinical, radiological and pathological correlations
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81. Radiographic and Clinical Features of Children With Coronavirus Disease (COVID-19) Pneumonia
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82. Semiquantitative lung ultrasound scores in the evaluation and follow-up of critically ill patients with COVID-19: a single-center study
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83. A Characteristic Chest Radiographic Pattern in the Setting of the COVID-19 Pandemic
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84. Extension of Coronavirus Disease 2019 on Chest CT and Implications for Chest Radiographic Interpretation
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85. COVID-19: La pandemia por el nuevo virus SARS-CoV-2
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86. Association of clinical and radiographic findings with the outcomes of 93 patients with COVID-19 in Wuhan, China
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87. Association of “initial CT” findings with mortality in older patients with coronavirus disease 2019 (COVID-19)
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88. A comparison between manual and artificial intelligence–based automatic positioning in CT imaging for COVID-19 patients
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89. An Overview of Deep Learning Techniques on Chest X-Ray and CT Scan Identification of COVID-19
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90. Comparison of chest CT severity scoring systems for COVID-19
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91. Deep learning-based approach for detecting COVID-19 in chest X-rays
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92. COVID-19 pneumonia: what is the role of imaging in diagnosis?
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93. The clinical data from 19 critically ill patients with coronavirus disease 2019: a single-centered, retrospective, observational study
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94. Four Types of Multiclass Frameworks for Pneumonia Classification and Its Validation in X-ray Scans Using Seven Types of Deep Learning Artificial Intelligence Models
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95. Diagnosis of COVID-19 Pneumonia via a Novel Deep Learning Architecture
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96. Co-infection of SARS-CoV-2 and influenza virus causes more severe and prolonged pneumonia in hamsters
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97. Detecting COVID-19 from chest computed tomography scans using AI-driven android application
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98. Association between Initial Chest CT or Clinical Features and Clinical Course in Patients with Coronavirus Disease 2019 Pneumonia
    Zhe Liu, Chao Jin, Carol C. Wu, Ting Bo Liang, Huifang Zhao, Yan Wang, Zekun Wang, Fen Li, Jie Zhou, Shubo Cai et al. · 2020 · Korean Journal of Radiology
99. Coronavirus Disease 2019 (COVID-19)
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100. Differentiating novel coronavirus pneumonia from general pneumonia based on machine learning
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