Related references
Note: Only part of the references are listed.The clinical dynamics of 18 cases of COVID-19 outside of Wuhan, China
Lei Wang et al.
EUROPEAN RESPIRATORY JOURNAL (2020)
High-resolution computed tomography features of 17 cases of coronavirus disease 2019 in Sichuan province, China
Simin Zhang et al.
EUROPEAN RESPIRATORY JOURNAL (2020)
Clinical Characteristics of 138 Hospitalized Patients With 2019 Novel Coronavirus-Infected Pneumonia in Wuhan, China
Dawei Wang et al.
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION (2020)
COVID-19 pneumonia: what has CT taught us?
Elaine Y. P. Lee et al.
LANCET INFECTIOUS DISEASES (2020)
Radiological findings from 81 patients with COVID-19 pneumonia in Wuhan, China: a descriptive study
Heshui Shi et al.
LANCET INFECTIOUS DISEASES (2020)
Chest CT for Typical Coronavirus Disease 2019 (COVID-19) Pneumonia: Relationship to Negative RT-PCR Testing
Xingzhi Xie et al.
RADIOLOGY (2020)
Correlation of Chest CT and RT-PCR Testing for Coronavirus Disease 2019 (COVID-19) in China: A Report of 1014 Cases
Tao Ai et al.
RADIOLOGY (2020)
Potential association between COVID-19 mortality and healthcare resource availability
Yunpeng Ji et al.
LANCET GLOBAL HEALTH (2020)
Imaging research in fibrotic lung disease; applying deep learning to unsolved problems
Simon L. F. Walsh et al.
LANCET RESPIRATORY MEDICINE (2020)
Clinical course and outcomes of critically ill patients with SARS-CoV-2 pneumonia in Wuhan, China: a single-centered, retrospective, observational study
Xiaobo Yang et al.
Lancet Respiratory Medicine (2020)
Using Artificial Intelligence to Detect COVID-19 and Community-acquired Pneumonia Based on Pulmonary CT: Evaluation of the Diagnostic Accuracy
Lin Li et al.
RADIOLOGY (2020)
Unravelling machine learning: insights in respiratory medicine
Elsa Angelini et al.
EUROPEAN RESPIRATORY JOURNAL (2019)
Predicting EGFR mutation status in lung adenocarcinoma on computed tomography image using deep learning
Shuo Wang et al.
EUROPEAN RESPIRATORY JOURNAL (2019)
Deep learning provides a new computed tomography-based prognostic biomarker for recurrence prediction in high-grade serous ovarian cancer
Shuo Wang et al.
RADIOTHERAPY AND ONCOLOGY (2019)
Deep learning for classifying fibrotic lung disease on high-resolution computed tomography: a case-cohort study
Simon L. F. Walsh et al.
LANCET RESPIRATORY MEDICINE (2018)
Central focused convolutional neural networks: Developing a data-driven model for lung nodule segmentation
Shuo Wang et al.
MEDICAL IMAGE ANALYSIS (2017)
Densely Connected Convolutional Networks
Gao Huang et al.
30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)
Comparing algorithms for automated vessel segmentation in computed tomography scans of the lung: the VESSEL12 study
Rina D. Rudyanto et al.
MEDICAL IMAGE ANALYSIS (2014)