AIMC Topic: Pandemics

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Relational Modeling for Robust and Efficient Pulmonary Lobe Segmentation in CT Scans.

IEEE transactions on medical imaging Aug 1, 2020
Pulmonary lobe segmentation in computed tomography scans is essential for regional assessment of pulmonary diseases. Recent works based on convolution neural networks have achieved good performance for this task. However, they are still limited in ca...
Algorithms Lung Humans Tomography, X-Ray Computed Coronavirus Infections Neural Networks, Computer SARS-CoV-2 Betacoronavirus Pandemics Pneumonia, Viral COVID-19 Pulmonary Disease, Chronic Obstructive
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A Noise-Robust Framework for Automatic Segmentation of COVID-19 Pneumonia Lesions From CT Images.

IEEE transactions on medical imaging Aug 1, 2020
Segmentation of pneumonia lesions from CT scans of COVID-19 patients is important for accurate diagnosis and follow-up. Deep learning has a potential to automate this task but requires a large set of high-quality annotations that are difficult to col...
Humans Coronavirus Infections Pandemics Betacoronavirus COVID-19 Tomography, X-Ray Computed Pneumonia, Viral Algorithms SARS-CoV-2 Lung Deep Learning
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A Rapid, Accurate and Machine-Agnostic Segmentation and Quantification Method for CT-Based COVID-19 Diagnosis.

IEEE transactions on medical imaging Aug 1, 2020
COVID-19 has caused a global pandemic and become the most urgent threat to the entire world. Tremendous efforts and resources have been invested in developing diagnosis, prognosis and treatment strategies to combat the disease. Although nucleic acid ...
Betacoronavirus Pneumonia, Viral SARS-CoV-2 Pandemics Lung COVID-19 Humans Algorithms Deep Learning Tomography, X-Ray Computed Coronavirus Infections
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Inf-Net: Automatic COVID-19 Lung Infection Segmentation From CT Images.

IEEE transactions on medical imaging Aug 1, 2020
Coronavirus Disease 2019 (COVID-19) spread globally in early 2020, causing the world to face an existential health crisis. Automated detection of lung infections from computed tomography (CT) images offers a great potential to augment the traditional...
Lung Supervised Machine Learning Coronavirus Infections Betacoronavirus Pneumonia, Viral COVID-19 Algorithms Tomography, X-Ray Computed SARS-CoV-2 Humans Pandemics
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Dual-Sampling Attention Network for Diagnosis of COVID-19 From Community Acquired Pneumonia.

IEEE transactions on medical imaging Aug 1, 2020
The coronavirus disease (COVID-19) is rapidly spreading all over the world, and has infected more than 1,436,000 people in more than 200 countries and territories as of April 9, 2020. Detecting COVID-19 at early stage is essential to deliver proper h...
Humans Pandemics COVID-19 Community-Acquired Infections Betacoronavirus ROC Curve Pneumonia, Viral Coronavirus Infections Image Interpretation, Computer-Assisted Algorithms Radiography, Thoracic Tomography, X-Ray Computed SARS-CoV-2 Deep Learning
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Accurate Screening of COVID-19 Using Attention-Based Deep 3D Multiple Instance Learning.

IEEE transactions on medical imaging Aug 1, 2020
Automated Screening of COVID-19 from chest CT is of emergency and importance during the outbreak of SARS-CoV-2 worldwide in 2020. However, accurate screening of COVID-19 is still a massive challenge due to the spatial complexity of 3D volumes, the la...
Radiography, Thoracic Betacoronavirus Pneumonia, Viral Lung Deep Learning Imaging, Three-Dimensional Coronavirus Infections Humans Algorithms Tomography, X-Ray Computed SARS-CoV-2 Pandemics COVID-19
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Prior-Attention Residual Learning for More Discriminative COVID-19 Screening in CT Images.

IEEE transactions on medical imaging Aug 1, 2020
We propose a conceptually simple framework for fast COVID-19 screening in 3D chest CT images. The framework can efficiently predict whether or not a CT scan contains pneumonia while simultaneously identifying pneumonia types between COVID-19 and Inte...
Pneumonia, Viral Imaging, Three-Dimensional Coronavirus Infections Radiography, Thoracic Betacoronavirus Pandemics COVID-19 Tomography, X-Ray Computed SARS-CoV-2 Adult Middle Aged Lung Deep Learning Humans
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Developing a curriculum in artificial intelligence for emergency radiology.

Emergency radiology Aug 1, 2020
Humans Artificial Intelligence Pandemics Curriculum Education, Medical Emergency Medicine COVID-19 SARS-CoV-2 Emergency Service, Hospital Radiology
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Constructing co-occurrence network embeddings to assist association extraction for COVID-19 and other coronavirus infectious diseases.

Journal of the American Medical Informatics Association : JAMIA Aug 1, 2020
OBJECTIVE: As coronavirus disease 2019 (COVID-19) started its rapid emergence and gradually transformed into an unprecedented pandemic, the need for having a knowledge repository for the disease became crucial. To address this issue, a new COVID-19 m...
Humans Decision Trees Bayes Theorem Coronavirus Infections Datasets as Topic Pneumonia, Viral Algorithms ROC Curve Logistic Models Support Vector Machine Neural Networks, Computer Software Pandemics COVID-19
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An artificial intelligence approach to COVID-19 infection risk assessment in virtual visits: A case report.

Journal of the American Medical Informatics Association : JAMIA Aug 1, 2020
OBJECTIVE: In an effort to improve the efficiency of computer algorithms applied to screening for coronavirus disease 2019 (COVID-19) testing, we used natural language processing and artificial intelligence-based methods with unstructured patient dat...
Humans Neural Networks, Computer Artificial Intelligence SARS-CoV-2 Risk Assessment Deep Learning ROC Curve Pandemics COVID-19 Algorithms Organizational Case Studies Electronic Health Records Clinical Laboratory Techniques Natural Language Processing South Carolina Coronavirus Infections Betacoronavirus Telemedicine Pneumonia, Viral COVID-19 Testing
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