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This paper describes BIMCV COVID-19+, a large dataset from the Valencian Region Medical ImageBank (BIMCV) containing chest X-ray images CXR (CR, DX) and computed tomography (CT) imaging of COVID-19+ patients along with their radiological findings and locations, pathologies, radiological reports (in Spanish), DICOM metadata, Polymerase chain reaction (PCR), Immunoglobulin G (IgG) and Immunoglobulin M (IgM) diagnostic antibody tests.
R and d cloud ceib: Management and knowledge extraction system for bioimaging in the cloud
J. M. S. Serrano, M. A. C. Quevedo, M. de la Iglesia-Vaya, L. Marti-Bonmati, and R. Valenzuela · 2012
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Implementation of an anonymisation tool for clinical trials using a clinical trial processor integrated with an existing trial patient data information system
Kadek YE Aryanto, André Broekema, Matthijs Oudkerk, and Peter MA van Ooijen · 2012
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U-net: Convolutional networks for biomedical image segmentation
O. Ronneberger, P.Fischer, and T. Brox · 2015
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The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments
Krzysztof J. Gorgolewski, Tibor Auer, Vince D. Calhoun, R. Cameron Craddock, Samir Das, Eugene P. Duff, Guillaume Flandin, Satrajit S. Ghosh, Tristan Glatard, Yaroslav O. Halchenko, Daniel A. Handwerker, Michael Hanke, David Keator, Xiangrui Li, Zachary Michael, Camille Maumet, B. Nolan Nichols, Thomas E. Nichols, John Pellman, Jean-Baptiste Poline, Ariel Rokem, Gunnar Schaefer, Vanessa Sochat, William Triplett, Jessica A. Turner, Gaël Varoquaux, and Russell A. Poldrack · 2016
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An integrated tcga pan-cancer clinical data resource to drive high-quality survival outcome analytics
Jianfang Liu, Tara Lichtenberg, Katherine A Hoadley, Laila M Poisson, Alexander J Lazar, Andrew D Cherniack, Albert J Kovatich, Christopher C Benz, Douglas A Levine, Adrian V Lee, et al · 2018
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Mapping patient trajectories using longitudinal extraction and deep learning in the mimic-iii critical care database
Brett K Beaulieu-Jones, Patryk Orzechowski, and Jason H Moore · 2018
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Development of a flexible imaging data integration tool for multicenter clinical trials
Jingyi Shi, Jeff Carr, and Yaorong Ge · 2018
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Development of a Flexible Imaging Data Integration Tool for Multicenter Clinical Trials
Jingyi Shi, Jeff Carr, and Yaorong Ge · 2018
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Mimic-cxr: A large publicly available database of labeled chest radiographs
Alistair EW Johnson, Tom J Pollard, Seth Berkowitz, Nathaniel R Greenbaum, Matthew P Lungren, Chih-ying Deng, Roger G Mark, and Steven Horng · 2019
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PadChest: A large chest x-ray image dataset with multi-label annotated reports, 2019
Aurelia Bustos, Antonio Pertusa, Jose-Maria Salinas, and Maria de la Iglesia-Vayá · 2019
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Efficientnet: Rethinking model scaling for convolutional neural networks, 2019
Mingxing Tan and Quoc V. Le · 2019
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ACR Recommendations for the use of Chest Radiography and Computed Tomography (CT) for Suspected COVID-19 Infection
ACR · 2020
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COVID-19 Image Data Collection, 2020
Joseph Paul Cohen, Paul Morrison, and Lan Dao · 2020
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COVID-CT-Dataset: a CT scan dataset about COVID-19
Jinyu Zhao, Yichen Zhang, Xuehai He, and Pengtao Xie · 2020
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BOE.es - Documento consolidado BOE-A-2018-16673
BOE · 2020
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De-identifying Spanish medical texts - Named Entity Recognition applied to radiology reports
Irene Perez-Diez, Raul Perez-Moraga, Adolfo Lopez-Cerdan, Jose-Maria Salinas-Serrano, and Maria de la Iglesia-Vaya · 2020
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Chest ct findings in coronavirus disease-19 (covid-19): Relationship to duration of infection
Adam Bernheim, Xueyan Mei, Mingqian Huang, Yang Yang, Zahi Fayad, Ning Zhang, Kaiyue Diao, Bin Lin, Xiqi Zhu, Kunwei Li, Shaolin Li, Hong Shan, Adam Jacobi, and Michael Chung · 2020
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Time course of lung changes on chest ct during recovery from 2019 novel coronavirus (covid-19) pneumonia
Feng Pan, Tianhe Ye, Peng Sun, Shan Gui, Bo Liang, Lingli Li, Dandan Zheng, Jiazheng Wang, Richard Hesketh, Lian Yang, and Chuansheng Zheng · 2020
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Temporal changes of ct findings in 90 patients with covid-19 pneumonia: A longitudinal study
Yuhui Wang, Chengjun Dong, Yue Hu, Chungao Li, Qianqian Ren, Xin Zhang, Heshui Shi, and Min Zhou · 2020
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Muhammad E. H. Chowdhury, Tawsifur Rahman, Amith Khandakar, Rashid Mazhar, Muhammad Abdul Kadir, Zaid Bin Mahbub, Khandaker Reajul Islam, Muhammad Salman Khan, Atif Iqbal, Nasser Al-Emadi, and Mamun Bin Ibne Reaz · 2020
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Artificial intelligence distinguishes COVID-19 from community acquired pneumonia on chest CT
Lin Li, Lixin Qin, Zeguo Xu, Youbing Yin, Xin Wang, Bin Kong, Junjie Bai, Yi Lu, Zhenghan Fang, Qi Song, et al · 2020
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AI-assisted CT imaging analysis for COVID-19 screening: Building and deploying a medical AI system in four weeks
Shuo Jin, Bo Wang, Haibo Xu, Chuan Luo, Lai Wei, Wei Zhao, Xuexue Hou, Wenshuo Ma, Zhengqing Xu, Zhuozhao Zheng, et al · 2020
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Feng Shi, Liming Xia, Fei Shan, Dijia Wu, Ying Wei, Huan Yuan, Huiting Jiang, Yaozong Gao, He Sui, and Dinggang Shen · 2020
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Relation between chest ct findings and clinical conditions of coronavirus disease (covid-19) pneumonia: A multicenter study
Wei Zhao, Zheng Zhong, Xingzhi Xie, Qizhi Yu, and Jun Liu · 2020
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Available at url=https://healthcare-in-europe.com/en/news/imaging-the-coronavirus-disease-covid-19.html
Milagros Martí de Gracia, 2020 · 2020
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OHIF XNAT Viewer, 2020
2020
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