Machine Learning for COVID-19 Diagnosis and Prognostication: Lessons for Amplifying the Signal While Reducing the Noise-Reference-Cited by-同舟云学术

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Machine Learning for COVID-19 Diagnosis and Prognostication: Lessons for Amplifying the Signal While Reducing the Noise

Published:2021-03-24 Issue: Volume: Page:e210011
ISSN:2638-6100
Container-title:Radiology: Artificial Intelligence
language:en
Short-container-title:Radiology: Artificial Intelligence

Author:

Driggs Derek^ORCID,Selby Ian,Roberts Michael,Gkrania-Klotsas Effrossyni^ORCID,Rudd James H. F.^ORCID,Yang Guang^ORCID,Babar Judith,Sala Evis^ORCID,Schönlieb Carola-Bibiane,

Publisher

Radiological Society of North America (RSNA)

Subject

Artificial Intelligence,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Link

http://pubs.rsna.org/doi/pdf/10.1148/ryai.2021210011

Cited by 23 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Assessment of a deep learning model for COVID-19 classification on chest radiographs: a comparison across image acquisition techniques and clinical factors;Journal of Medical Imaging;2023-12-28

2. A medical multimodal large language model for future pandemics;npj Digital Medicine;2023-12-02

3. Pathological changes or technical artefacts? The problem of the heterogenous databases in COVID-19 CXR image analysis;Computer Methods and Programs in Biomedicine;2023-10

4. Optimal control strategy for COVID-19 developed using an AI-based learning method;Journal of Experimental & Theoretical Artificial Intelligence;2023-09-16

5. A pipeline to further enhance quality, integrity and reusability of the NCCID clinical data;Scientific Data;2023-07-27

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