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Across the world's coronavirus disease 2019 (COVID-19) hot spots, the need to streamline patient diagnosis and management has become more pressing than ever.
PadChest: A large chest x-ray image dataset with multi-label annotated reports
Aurelia Bustos, Antonio Pertusa, Jose-Maria Salinas, and Maria de la Iglesia-Vayá · 1901
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Generalizing from a Few Examples: A Survey on Few-Shot Learning
Yaqing Wang, Quanming Yao, James Kwok, and Lionel M. Ni · 1904
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Saliency is a Possible Red Herring When Diagnosing Poor Generalization
Joseph D. Viviano, Becks Simpson, Francis Dutil, Yoshua Bengio, and Joseph Paul Cohen · 1910
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Explanation by Progressive Exaggeration
Sumedha Singla, Brian Pollack, Junxiang Chen, and Kayhan Batmanghelich · 1911
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Big data {+} politics = open data: The case of health care data in England
Justin Keen, Radu Calinescu, Richard Paige, and John Rooksby · 1944
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Lung cancer screening: Computed tomography or chest radiographs?
Edwin JR van Beek · 1949
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On the limits of cross-domain generalization in automated X-ray prediction
Joseph Paul Cohen, Mohammad Hashir, Rupert Brooks, and Hadrien Bertrand · 2002
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Revisiting Training Strategies and Generalization Performance in Deep Metric Learning
Karsten Roth, Timo Milbich, Samarth Sinha, Prateek Gupta, Björn Ommer, and Joseph Paul Cohen · 2002
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COVID-19 Image Data Collection
Joseph Paul Cohen, Paul Morrison, and Lan Dao · 2003
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CheXclusion: Fairness gaps in deep chest X-ray classifiers
Laleh Seyyed-Kalantari, Guanxiong Liu, Matthew McDermott, and Marzyeh Ghassemi · 2003
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Rethinking Few-Shot Image Classification: a Good Embedding Is All You Need?
Yonglong Tian, Yue Wang, Dilip Krishnan, Joshua B Tenenbaum, and Phillip Isola · 2003
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Linda Wang and Alexander Wong · 2003
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Severe acute respiratory syndrome: Radiographic appearances and pattern of progression in 138 patients
K. T. Wong, Gregory E. Antonio, David S.C. Hui, Nelson Lee, Edmund H.Y. Yuen, Alan Wu, C. B. Leung, T. H. Rainer, Peter Cameron, Sydney S.C. Chung, Joseph J.Y. Sung, and Anil T. Ahuja · 2003
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COVID-19 Screening on Chest X-ray Images Using Deep Learning based Anomaly Detection
Jianpeng Zhang, Yutong Xie, Yi Li, Chunhua Shen, and Yong Xia · 2003
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A Critic Evaluation of Methods for COVID-19 Automatic Detection from X-Ray Images
Gianluca Maguolo and Loris Nanni · 2004
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Radiologic pattern of disease in patients with severe acute respiratory syndrome: The toronto experience
Narinder S. Paul, Heidi Roberts, Jagdish Butany, TaeBong Chung, Wayne Gold, Sangeeta Mehta, Eli Konen, Anuradha Rao, Yves Provost, Harry H. Hong, Leon Zelovitsky, and Gordon L. Weisbrod · 2004
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Unveiling COVID-19 from Chest X-ray with deep learning: a hurdles race with small data
Enzo Tartaglione, Carlo Alberto Barbano, Claudio Berzovini, Marco Calandri, and Marco Grangetto · 2004
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Predicting COVID-19 Pneumonia Severity on Chest X-ray with Deep Learning
Joseph Paul Cohen, Lan Dao, Paul Morrison, Karsten Roth, Yoshua Bengio, Beiyi Shen, Almas Abbasi, Mahsa Hoshmand-Kochi, Marzyeh Ghassemi, Haifang Li, and Tim Q Duong · 2005
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Lung Segmentation from Chest X-rays using Variational Data Imputation
Raghavendra Selvan, Erik B. Dam, Sofus Rischel, Kaining Sheng, Mads Nielsen, and Akshay Pai · 2005
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End-to-end learning for semiquantitative rating of COVID-19 severity on Chest X-rays
Alberto Signoroni, Mattia Savardi, Sergio Benini, Nicola Adami, Riccardo Leonardi, Paolo Gibellini, Filippo Vaccher, Marco Ravanelli, Andrea Borghesi, Roberto Maroldi, and Davide Farina · 2006
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COVID-19 in CXR: from Detection and Severity Scoring to Patient Disease Monitoring
Rula Amer, Maayan Frid-Adar, Ophir Gozes, Jannette Nassar, and Hayit Greenspan · 2008
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Zero-data Learning of New Tasks
Hugo Larochelle, Dumitru Erhan, and Yoshua Bengio · 2008
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Reading chest radiographs in the critically ill (Part I): Normal chest radiographic appearance, instrumentation and complications from instrumentation
Ali Nawaz Khan, Hamdan Al-Jahdali, Sarah Al-Ghanem, and Alaa Gouda · 2009
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Imaging lung manifestations of HIV/AIDS, 10 2010
Carolyn M. Allen, Hamdan H. Al-Jahdali, Klaus L. Irion, Sarah Ai Al Ghanem, Alaa Gouda, and Ali Nawaz Khan · 2010
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Deep sparse rectifier neural networks
Xavier Glorot, Antoine Bordes, and Yoshua Bengio · 2011
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Scikit-learn: Machine Learning in Python
F Pedregosa, G Varoquaux, A Gramfort, V Michel, B Thirion, O Grisel, M Blondel, P Prettenhofer, R Weiss, V Dubourg, J Vanderplas, A Passos, D Cournapeau, M Brucher, M Perrot, and E Duchesnay · 2011
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The decision to extubate in the intensive care unit, 6 2013
Arnaud W. Thille, Jean Christophe M. Richard, and Laurent Brochard · 2013
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Challenges of Open Data in Medical Research
Ralf Floca · 2014
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Adam: A Method for Stochastic Optimization
Diederik Kingma and Jimmy Ba · 2014
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Learning to learn by gradient descent by gradient descent
Marcin Andrychowicz, Misha Denil, Sergio Gómez Colmenarejo, Matthew W. Hoffman, David Pfau, Tom Schaul, Brendan Shillingford, Nando de Freitas, Sergio Gomez, Matthew W. Hoffman, David Pfau, Tom Schaul, and Nando de Freitas · 2016
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Preparing a collection of radiology examinations for distribution and retrieval
Dina Demner-Fushman, Marc D. Kohli, Marc B. Rosenman, Sonya E. Shooshan, Laritza Rodriguez, Sameer Antani, George R. Thoma, and Clement J. McDonald · 2016
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Who Owns the Data? Open Data for Healthcare
Patty Kostkova, Helen Brewer, Simon de Lusignan, Edward Fottrell, Ben Goldacre, Graham Hart, Phil Koczan, Peter Knight, Corinne Marsolier, Rachel A. McKendry, Emma Ross, Angela Sasse, Ralph Sullivan, Sarah Chaytor, Olivia Stevenson, Raquel Velho, and John Tooke · 2016
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Lung imaging: How to get better look inside the lung, 7 2017
Lorenzo Ball, Veronica Vercesi, Federico Costantino, Karthikka Chandrapatham, and Paolo Pelosi · 2017
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What are the Radiation Risks from CT?
FDA · 2017
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Densely Connected Convolutional Networks
Gao Huang, Zhuang Liu, Laurens van der Maaten, and Kilian Q. Weinberger · 2017
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Abnormality detection and localization in chest x-rays using deep convolutional neural networks, 2017
Mohammad Tariqul Islam, Md Abdul Aowal, Ahmed Tahseen Minhaz, and Khalid Ashraf · 2017
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Learning to Discover Cross-Domain Relations with Generative Adversarial Networks, 3 2017
Taeksoo Kim, Moonsu Cha, Hyunsoo Kim, Jung Kwon Lee, and Jiwon Kim · 2017
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Deep Learning at Chest Radiography: Automated Classification of Pulmonary Tuberculosis by Using Convolutional Neural Networks
Paras Lakhani and Baskaran Sundaram · 2017
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Medical big data: Promise and challenges
Choong Ho Lee and Hyung Jin Yoon · 2017
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Few-Shot Adversarial Domain Adaptation
Saeid Motiian, Quinn Jones, Mehdi Iranmanesh, and Gianfranco Doretto · 2017
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CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning
Pranav Rajpurkar, Jeremy Irvin, Kaylie Zhu, Brandon Yang, Hershel Mehta, Tony Duan, Daisy Ding, Aarti Bagul, Curtis Langlotz, Katie Shpanskaya, Matthew P. Lungren, and Andrew Y. Ng · 2017
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Right for the Right Reasons: Training Differentiable Models by Constraining their Explanations
Andrew Ross, Michael C Hughes, and Finale Doshi-Velez · 2017
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Prototypical Networks for Few-shot Learning
Jake Snell, Kevin Swersky, and Twitter Richard Zemel · 2017
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Mechanical Ventilation
Martin Tobin and Constantine Manthous · 2017
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Xiaosong Wang, Yifan Peng, Le Lu, Zhiyong Lu, Mohammadhadi Bagheri, and Ronald M. Summers · 2017
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Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks
Jun Yan Zhu, Taesung Park, Phillip Isola, and Alexei A. Efros · 2017
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ACR Appropriateness Criteria for Acute Respiratory Illness in Immunocompetent Patients
ACR · 2018
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Distribution Matching Losses Can Hallucinate Features in Medical Image Translation
Joseph Paul Cohen, Margaux Luck, and Sina Honari · 2018
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Deep Learning with Lung Segmentation and Bone Shadow Exclusion Techniques for Chest X-Ray Analysis of Lung Cancer
Yu. Gordienko, Peng Gang, Jiang Hui, Wei Zeng, Yu. Kochura, O Alienin, O Rokovyi, and S Stirenko · 2018
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Towards robust lung segmentation in chest radiographs with deep learning, 2018
Jyoti Islam and Yanqing Zhang · 2018
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Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning
Daniel S Kermany, Michael Goldbaum, Wenjia Cai, Carolina C S Valentim, Huiying Liang, Sally L Baxter, Alex McKeown, Ge Yang, Xiaokang Wu, Fangbing Yan, Justin Dong, Made K Prasadha, Jacqueline Pei, Magdalene Y L Ting, Jie Zhu, Christina Li, Sierra Hewett, Jason Dong, Ian Ziyar, Alexander Shi, Runze Zhang, Lianghong Zheng, Rui Hou, William Shi, Xin Fu, Yaou Duan, Viet A N Huu, Cindy Wen, Edward D Zhang, Charlotte L Zhang, Oulan Li, Xiaobo Wang, Michael A Singer, Xiaodong Sun, Jie Xu, Ali Tafreshi, M Anthony Lewis, Huimin Xia, and Kang Zhang · 2018
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UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
Leland McInnes, John Healy, and James Melville · 2018
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Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists
Pranav Rajpurkar, Jeremy Irvin, Robyn L. Ball, Kaylie Zhu, Brandon Yang, Hershel Mehta, Tony Duan, Daisy Ding, Aarti Bagul, Curtis P. Langlotz, Bhavik N. Patel, Kristen W. Yeom, Katie Shpanskaya, Francis G. Blankenberg, Jayne Seekins, Timothy J. Amrhein, David A. Mong, Safwan S. Halabi, Evan J. Zucker, Andrew Y. Ng, and Matthew P. Lungren · 2018
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Jonathan Rubin, Deepan Sanghavi, Claire Zhao, Kathy Lee, Ashequl Qadir, and Minnan Xu-Wilson · 2018
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Does Your Model Know the Digit 6 Is Not a Cat? A Less Biased Evaluation of "Outlier" Detectors
Alireza Shafaei, Mark Schmidt, and James J. Little · 2018
Cited alongside, same era.
Chest x-ray analysis of tuberculosis by deep learning with segmentation and augmentation
S. Stirenko, Y. Kochura, O. Alienin, O. Rokovyi, Y. Gordienko, P. Gang, and W. Zeng · 2018
Cited alongside, same era.
Deep learning predicts hip fracture using confounding patient and healthcare variables
Marcus A. Badgeley, John R. Zech, Luke Oakden-Rayner, Benjamin S. Glicksberg, Manway Liu, William Gale, Michael V. McConnell, Bethany Percha, Thomas M. Snyder, and Joel T. Dudley · 2019
Cited alongside, same era.
Medicine contends with how to use artificial intelligence, 6 2019
Jennifer Couzin-Frankel · 2019
Cited alongside, same era.
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison
Jeremy Irvin, Pranav Rajpurkar, Michael Ko, Yifan Yu, Silviana Ciurea-Ilcus, Chris Chute, Henrik Marklund, Behzad Haghgoo, Robyn Ball, Katie Shpanskaya, Jayne Seekins, David A. Mong, Safwan S. Halabi, Jesse K. Sandberg, Ricky Jones, David B. Larson, Curtis P. Langlotz, Bhavik N. Patel, Matthew P. Lungren, and Andrew Y. Ng · 2019
Italian doctors turn to Chinese A.I. to speed up detection, 4 2020
Eric Lyman · 2020
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The first case of covid-19 treated with the complement c3 inhibitor amy-101
Sara Mastaglio, Annalisa Ruggeri, Antonio M. Risitano, Piera Angelillo, Despina Yancopoulou, Dimitrios C. Mastellos, Markus Huber-Lang, Simona Piemontese, Andrea Assanelli, Cecilia Garlanda, John D. Lambris, and Fabio Ciceri · 2020
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COVID-19 and artificial intelligence: protecting health-care workers and curbing the spread
Becky McCall · 2020
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Successful recovery of COVID-19 pneumonia in a patient from colombia after receiving chloroquine and clarithromycin
José Millán-Oñate, William Millan, Luis Alfonso Mendoza, Carlos Guillermo Sánchez, Hugo Fernandez-Suarez, D. Katterine Bonilla-Aldana, and Alfonso J. Rodríguez-Morales · 2020
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Deep-COVID: Predicting COVID-19 from chest X-ray images using deep transfer learning
Shervin Minaee, Rahele Kafieh, Milan Sonka, Shakib Yazdani, and Ghazaleh Jamalipour Soufi · 2020
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Cited alongside, same era.
A rapid advice guideline for the diagnosis and treatment of 2019 novel coronavirus (2019-ncov) infected pneumonia (standard version)
Ying-Hui Jin, , Lin Cai, Zhen-Shun Cheng, Hong Cheng, Tong Deng, Yi-Pin Fan, Cheng Fang, Di Huang, Lu-Qi Huang, Qiao Huang, Yong Han, Bo Hu, Fen Hu, Bing-Hui Li, Yi-Rong Li, Ke Liang, Li-Kai Lin, Li-Sha Luo, Jing Ma, Lin-Lu Ma, Zhi-Yong Peng, Yun-Bao Pan, Zhen-Yu Pan, Xue-Qun Ren, Hui-Min Sun, Ying Wang, Yun-Yun Wang, Hong Weng, Chao-Jie Wei, Dong-Fang Wu, Jian Xia, Yong Xiong, Hai-Bo Xu, Xiao-Mei Yao, Yu-Feng Yuan, Tai-Sheng Ye, Xiao-Chun Zhang, Ying-Wen Zhang, Yin-Gao Zhang, Hua-Min Zhang, Yan Zhao, Ming-Juan Zhao, Hao Zi, Xian-Tao Zeng, Yong-Yan Wang, and Xing-Huan Wang · 2019
Cited alongside, same era.
MIMIC-CXR: A large publicly available database of labeled chest radiographs
Alistair E. W. Johnson, Tom J. Pollard, Seth J. Berkowitz, Nathaniel R. Greenbaum, Matthew P. Lungren, Chih-ying Deng, Roger G. Mark, and Steven Horng · 2019
Cited alongside, same era.
Key challenges for delivering clinical impact with artificial intelligence, 10 2019
Christopher J. Kelly, Alan Karthikesalingam, Mustafa Suleyman, Greg Corrado, and Dominic King · 2019
Cited alongside, same era.
Chest Radiograph Interpretation with Deep Learning Models: Assessment with Radiologist-adjudicated Reference Standards and Population-adjusted Evaluation
Anna Majkowska, Sid Mittal, David F. Steiner, Joshua J. Reicher, Scott Mayer McKinney, Gavin E. Duggan, Krish Eswaran, Po-Hsuan Cameron Chen, Yun Liu, Sreenivasa Raju Kalidindi, Alexander Ding, Greg S. Corrado, Daniel Tse, and Shravya Shetty · 2019
Cited alongside, same era.
Incremental Few-Shot Learning with Attention Attractor Networks
Mengye Ren, Renjie Liao, Ethan Fetaya, and Richard S Zemel · 2019
Cited alongside, same era.
Emerging 2019 novel coronavirus (2019-NCoV) pneumonia
Fengxiang Song, Nannan Shi, Fei Shan, Zhiyong Zhang, Jie Shen, Hongzhou Lu, Yun Ling, Yebin Jiang, and Yuxin Shi · 2019
Cited alongside, same era.
InfoMask: Masked Variational Latent Representation to Localize Chest Disease
Saeid Asgari Taghanaki, Mohammad Havaei, Tess Berthier, Francis Dutil, Lisa Di Jorio, Ghassan Hamarneh, and Yoshua Bengio · 2019
Cited alongside, same era.
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Contribution of interventional radiology to the management of covid-19 patient
Lorenzo Monfardini, Claudio Sallemi, Nicolò Gennaro, Vittorio Pedicini, and Claudio Bnà · 2020
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A coronavirus disease 2019 (covid-19) patient with multifocal pneumonia treated with hydroxychloroquine
Aveek Mukherjee, Mudassar Ahmad, and Douglas Frenia · 2020
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COVID-19 on Chest Radiographs: A Multireader Evaluation of an Artificial Intelligence System
Keelin Murphy, Henk Smits, Arnoud J.G. Knoops, Michael B.J.M. Korst, Tijs Samson, Ernst T. Scholten, Steven Schalekamp, Cornelia M. Schaefer-Prokop, Rick H.H.M. Philipsen, Annet Meijers, Jaime Melendez, Bram van Ginneken, and Matthieu Rutten · 2020
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A British Society of Thoracic Imaging statement: considerations in designing local imaging diagnostic algorithms for the COVID-19 pandemic, 5 2020
A. Nair, J. C.L. Rodrigues, S. Hare, A. Edey, A. Devaraj, J. Jacob, A. Johnstone, R. McStay, Erika Denton, and G. Robinson · 2020
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A sporadic covid-19 pneumonia treated with extracorporeal membrane oxygenation in tokyo, japan: A case report
Kazuha Nakamura, Mayu Hikone, Hiroshi Shimizu, Yusuke Kuwahara, Maki Tanabe, Mioko Kobayashi, Takuto Ishida, Kazuhiro Sugiyama, Takuya Washino, Naoya Sakamoto, and Yuichi Hamabe · 2020
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Imaging Profile of the COVID-19 Infection: Radiologic Findings and Literature Review
Ming-Yen Ng, Elaine YP Lee, Jin Yang, Fangfang Yang, Xia Li, Hongxia Wang, Macy Mei-sze Lui, Christine Shing-Yen Lo, Barry Leung, Pek-Lan Khong, Christopher Kim-Ming Hui, Kwok-yung Yuen, and Michael David Kuo · 2020
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A dynamic immune response shapes covid-19 progression
Eugenia Ziying Ong, Yvonne Fu Zi Chan, Wan Ying Leong, Natalie Mei Ying Lee, Shirin Kalimuddin, Salahudeen Mohamed Haja Mohideen, Kian Sing Chan, Anthony Tanoto Tan, Antonio Bertoletti, Eng Eong Ooi, and Jenny Guek Hong Low · 2020
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COVID-19-CT-CXR: a freely accessible and weakly labeled chest X-ray and CT image collection on COVID-19 from the biomedical literature
Y Peng, YX Tang, S Lee, Zhu Y, RM Summers, and Z Lu · 2020
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COVID-19 identification in chest X-ray images on flat and hierarchical classification scenarios
Rodolfo M. Pereira, Diego Bertolini, Lucas O. Teixeira, Carlos N. Silla, and Yandre M.G. Costa · 2020
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Importation and human-to-human transmission of a novel coronavirus in vietnam
Lan T. Phan, Thuong V. Nguyen, Quang C. Luong, Thinh V. Nguyen, Hieu T. Nguyen, Hung Q. Le, Thuc T. Nguyen, Thang M. Cao, and Quang D. Pham · 2020
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Can Lung US Help Critical Care Clinicians in the Early Diagnosis of Novel Coronavirus (COVID-19) Pneumonia?, 6 2020
Erika Poggiali, Alessandro Dacrema, Davide Bastoni, Valentina Tinelli, Elena Demichele, Pau Mateo Ramos, Teodoro Marcianò, Matteo Silva, Andrea Vercelli, and Andrea Magnacavallo · 2020
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Persistent hiccups as an atypical presenting complaint of covid-19
Garrett Prince and Michelle Sergel · 2020
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Severe Acute Respiratory Disease in a Huanan Seafood Market Worker: Images of an Early Casualty
Lijuan Qian, Jie Yu, and Heshui Shi · 2020
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Use of tocilizumab for covid-19-induced cytokine release syndrome
Jared Radbel, Navaneeth Narayanan, and Pinki J. Bhatt · 2020
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Re-purposing qXR for COVID-19, 2020
Tarun Raj · 2020
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Co-infection with SARS-COV-2 and parainfluenza in a young adult patient with pneumonia: Case report
Jose A. Rodriguez, Heysu Rubio-Gomez, Alejandra A. Roa, N. Miller, and Paula A. Eckardt · 2020
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The Role of Chest Imaging in Patient Management during the COVID-19 Pandemic: A Multinational Consensus Statement from the Fleischner Society
Geoffrey D. Rubin, Linda B. Haramati, Jeffrey P. Kanne, Neil W. Schluger, Jae-Joon Yim, Deverick J. Anderson, Talissa Altes, Sujal R. Desai, Jin Mo Goo, Yoshikazu Inoue, Fengming Luo, Mathias Prokop, Luca Richeldi, Noriyuki Tomiyama, Ann N. Leung, Christopher J. Ryerson, Nicola Sverzellati, Suhail Raoof, Annalisa Volpi, Ian B. K. Martin, Christina Kong, Andrew Bush, Jonathan Goldin, Marc Humbert, Hans-Ulrich Kauczor, Peter J. Mazzone, Martine Remy-Jardin, Cornelia M. Schaefer-Prokop, and Athol U. Wells · 2020
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Coronavirus Disease 2019 (COVID-19): A Systematic Review of Imaging Findings in 919 Patients
Sana Salehi, Aidin Abedi, Sudheer Balakrishnan, and Ali Gholamrezanezhad · 2020
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Radiological findings for diagnosis of sars-cov-2 pneumonia (covid-19)
Raquel Sánchez-Oro, Julio Torres Nuez, and Gloria Martínez-Sanz · 2020
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An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department, 8 2020
Farah E. Shamout, Yiqiu Shen, Nan Wu, Aakash Kaku, Jungkyu Park, Taro Makino, Stanisław Jastrzȩbski, Duo Wang, Ben Zhang, Siddhant Dogra, Meng Cao, Narges Razavian, David Kudlowitz, Lea Azour, William Moore, Yvonne W. Lui, Yindalon Aphinyanaphongs, Carlos Fernandez-Granda, and Krzysztof J. Geras · 2020
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Evolution of CT manifestations in a patient recovered from 2019 novel coronavirus (2019-nCoV) pneumonia in wuhan, china
Heshui Shi, Xiaoyu Han, and Chuansheng Zheng · 2020
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Corona virus disease 2019 (covid-19) presenting as acute st elevation myocardial infarction
Suman Siddamreddy, Ramakrishna Thotakura, Vasuki Dandu, Sruthi Kanuru, and Sreenath Meegada · 2020
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First imported case of 2019 novel coronavirus in canada, presenting as mild pneumonia
William Kyle Silverstein, Lynfa Stroud, Graham Edward Cleghorn, and Jerome Allen Leis · 2020
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Chinese Hospitals Deploy AI to Help Diagnose COVID-19, 2 2020
Tom Simonite · 2020
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Novel coronavirus disease 2019 in a patient on durable left ventricular assist device support
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Case report: Walking pneumonia in novel coronavirus disease (COVID-19): Mild symptoms with marked abnormalities on chest imaging
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AI Can Help Hospitals Triage COVID-19 Patients, 2020
Eliza Strickland · 2020
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Atypical presentation of covid-19 in a frail older person
Hui Sian Tay and Rowan Harwood · 2020
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Breadth of concomitant immune responses prior to patient recovery: a case report of non-severe COVID-19
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Never give up: Lesson learned from a severe covid-19 patient
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Endothelial cell infection and endotheliitis in covid-19
Zsuzsanna Varga, Andreas J Flammer, Peter Steiger, Martina Haberecker, Rea Andermatt, Annelies S Zinkernagel, Mandeep R Mehra, Reto A Schuepbach, Frank Ruschitzka, and Holger Moch · 2020
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Focal status epilepticus as unique clinical feature of covid-19: A case report
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Dan Vu and Peter Vu · 2020
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M Wadman, J Couzin-Frankel, J Kaiser, and C Matacic · 2020
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COVID-19 pneumonia-disease progression over time, 2020
Lili WANG, Junfeng Li, and Junqiang Lei · 2020
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Evolving COVID-19 pneumonia, 2020
MD Wanshu Zhang and MD Heshui Shi · 2020
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2019 novel coronavirus (COVID-19) pneumonia: Serial computed tomography findings
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Risk of nosocomial transmission of coronavirus disease 2019: an experience in a general ward setting in hong kong
S.C.Y. Wong, R.T-S. Kwong, T.C. Wu, J.W.M. Chan, M.Y. Chu, S.Y. Lee, H.Y. Wong, and D.C. Lung · 2020
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Covid-19: A case series to support radiographer preliminary clinical evaluation
N. Woznitza, A. Nair, and S.S. Hare · 2020
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Clinical characteristics of imported cases of COVID-19 in jiangsu province: A multicenter descriptive study
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Prediction models for diagnosis and prognosis of COVID-19 infection: Systematic review and critical appraisal
Laure Wynants, Ben Van Calster, Marc M.J. Bonten, Gary S. Collins, Thomas P.A. Debray, Maarten De Vos, Maria C. Haller, Georg Heinze, Karel G.M. Moons, Richard D. Riley, Ewoud Schuit, Luc J.M. Smits, Kym I.E. Snell, Ewout W. Steyerberg, Christine Wallisch, and Maarten Van Smeden · 2020
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Case Report Pathological findings of COVID-19 associated with acute respiratory distress syndrome
Z Xu, L Shi, J Zhang, L Huang, C Zhang, H Liu Bsc, J Song, F-S Wang, Y Wang, Y Tai, J Zhao, Fu-Sheng Wang, Jingmin Zhao, Zhe Xu, Lei Shi, Yijin Wang, Jiyuan Zhang, Lei Huang, Chao Zhang, Shuhong Liu, Peng Zhao, Hongxia Liu, Li Zhu, Yanhong Tai, Changqing Bai, Tingting Gao, Jinwen Song, Peng Xia, and Jinghui Dong · 2020
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