Position paper on COVID-19 imaging and AI: From the clinical needs and technological challenges to initial AI solutions at the lab and national level towards a new era for AI in healthcare
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Position paper on COVID-19 imaging and AI: From the clinical needs and technological challenges to initial AI solutions at the lab and national level towards a new era for AI in healthcare
Authors
Keywords
COVID-19, Imaging, AI
Journal
MEDICAL IMAGE ANALYSIS
Volume 66, Issue -, Pages 101800
Publisher
Elsevier BV
Online
2020-08-20
DOI
10.1016/j.media.2020.101800
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Relation Between Chest CT Findings and Clinical Conditions of Coronavirus Disease (COVID-19) Pneumonia: A Multicenter Study
- (2020) Wei Zhao et al. AMERICAN JOURNAL OF ROENTGENOLOGY
- Radiological findings from 81 patients with COVID-19 pneumonia in Wuhan, China: a descriptive study
- (2020) Heshui Shi et al. LANCET INFECTIOUS DISEASES
- Chest CT Findings in Coronavirus Disease-19 (COVID-19): Relationship to Duration of Infection
- (2020) Adam Bernheim et al. RADIOLOGY
- The Role of Chest Imaging in Patient Management During the COVID-19 Pandemic
- (2020) Geoffrey D. Rubin et al. CHEST
- COVID-19 and Postinfection Immunity
- (2020) Robert D. Kirkcaldy et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- From Containment to Mitigation of COVID-19 in the US
- (2020) Stephen M. Parodi et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- Pulmonary Vascular Endothelialitis, Thrombosis, and Angiogenesis in Covid-19
- (2020) Maximilian Ackermann et al. NEW ENGLAND JOURNAL OF MEDICINE
- Factors associated with hospital admission and critical illness among 5279 people with coronavirus disease 2019 in New York City: prospective cohort study
- (2020) Christopher M Petrilli et al. BMJ-British Medical Journal
- Clinically Applicable AI System for Accurate Diagnosis, Quantitative Measurements, and Prognosis of COVID-19 Pneumonia Using Computed Tomography
- (2020) Kang Zhang et al. CELL
- Not-so-supervised: a survey of semi-supervised, multi-instance, and transfer learning in medical image analysis
- (2019) Veronika Cheplygina et al. MEDICAL IMAGE ANALYSIS
- Efficient Deep Network Architectures for Fast Chest X-Ray Tuberculosis Screening and Visualization
- (2019) F. Pasa et al. Scientific Reports
- Uncovering the heterogeneity and temporal complexity of neurodegenerative diseases with Subtype and Stage Inference
- (2018) Alexandra L Young et al. Nature Communications
- A survey on deep learning in medical image analysis
- (2017) Geert Litjens et al. MEDICAL IMAGE ANALYSIS
- Guest Editorial Deep Learning in Medical Imaging: Overview and Future Promise of an Exciting New Technique
- (2016) Hayit Greenspan et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- The FAIR Guiding Principles for scientific data management and stewardship
- (2016) Mark D. Wilkinson et al. Scientific Data
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started