相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。Automated quantification of COVID-19 severity and progression using chest CT images
Jiantao Pu et al.
EUROPEAN RADIOLOGY (2021)
Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network
Asmaa Abbas et al.
APPLIED INTELLIGENCE (2021)
Efficacy of Chest CT for COVID-19 Pneumonia Diagnosis in France
Guillaume Herpe et al.
RADIOLOGY (2021)
MH-COVIDNet: Diagnosis of COVID-19 using deep neural networks and meta-heuristic-based feature selection on X-ray images
Murat Canayaz
BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2021)
The Clinical and Chest CT Features Associated With Severe and Critical COVID-19 Pneumonia
Kunhua Li et al.
INVESTIGATIVE RADIOLOGY (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)
Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study
Nanshan Chen et al.
LANCET (2020)
Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China
Chaolin Huang et al.
LANCET (2020)
Radiological findings from 81 patients with COVID-19 pneumonia in Wuhan, China: a descriptive study
Heshui Shi et al.
LANCET INFECTIOUS DISEASES (2020)
A new coronavirus associated with human respiratory disease in China
Fan Wu et al.
NATURE (2020)
A Novel Coronavirus Emerging in China - Key Questions for Impact Assessment
Vincent J. Munster et al.
NEW ENGLAND JOURNAL OF MEDICINE (2020)
Importation and Human-to-Human Transmission of a Novel Coronavirus in Vietnam
Lan T. Phan et al.
NEW ENGLAND JOURNAL OF MEDICINE (2020)
Coronavirus Disease 2019 (COVID-19) A Perspective from China
Zi Yue Zu et al.
RADIOLOGY (2020)
Chest CT Findings in Coronavirus Disease 2019 (COVID-19): Relationship to Duration of Infection
Adam Bernheim et al.
RADIOLOGY (2020)
Chest CT for Typical Coronavirus Disease 2019 (COVID-19) Pneumonia: Relationship to Negative RT-PCR Testing
Xingzhi Xie et al.
RADIOLOGY (2020)
Sensitivity of Chest CT for COVID-19: Comparison to RT-PCR
Yicheng Fang 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)
CT Imaging Features of 2019 Novel Coronavirus (2019-nCoV)
Michael Chung et al.
RADIOLOGY (2020)
The species Severe acute respiratory syndrome-related coronavirus: classifying 2019-nCoV and naming it SARS-CoV-2
Alexander E. Gorbalenya et al.
NATURE MICROBIOLOGY (2020)
Clinically Applicable AI System for Accurate Diagnosis, Quantitative Measurements, and Prognosis of COVID-19 Pneumonia Using Computed Tomography
Kang Zhang et al.
CELL (2020)
Application of deep learning for fast detection of COVID-19 in X-Rays using nCOVnet
Harsh Panwar et al.
CHAOS SOLITONS & FRACTALS (2020)
Diagnosis of the Coronavirus disease (COVID-19): rRT-PCR or CT?
Chunqin Long et al.
EUROPEAN JOURNAL OF RADIOLOGY (2020)
Comparison of chest CT findings between COVID-19 pneumonia and other types of viral pneumonia: a two-center retrospective study
Xiao Li et al.
EUROPEAN RADIOLOGY (2020)
Chest CT manifestations of new coronavirus disease 2019 (COVID-19): a pictorial review
Zheng Ye et al.
EUROPEAN RADIOLOGY (2020)
A fully automatic deep learning system for COVID-19 diagnostic and prognostic analysis
Shuo Wang et al.
EUROPEAN RESPIRATORY JOURNAL (2020)
Real-time RT-PCR in COVID-19 detection: issues affecting the results
Alireza Tahamtan et al.
EXPERT REVIEW OF MOLECULAR DIAGNOSTICS (2020)
Findings of lung ultrasonography of novel corona virus pneumonia during the 2019-2020 epidemic
Qian-Yi Peng et al.
INTENSIVE CARE MEDICINE (2020)
A case report of COVID-19 with false negative RT-PCR test: necessity of chest CT
Hao Feng et al.
JAPANESE JOURNAL OF RADIOLOGY (2020)
Artificial Intelligence Augmentation of Radiologist Performance in Distinguishing COVID-19 from Pneumonia of Other Origin at Chest CT
Harrison X. Bai et al.
RADIOLOGY (2020)
Temporal Changes of CT Findings in 90 Patients with COVID-19 Pneumonia: A Longitudinal Study
Yuhui Wang et al.
RADIOLOGY (2020)
Performance of Radiologists in Differentiating COVID-19 from Non-COVID-19 Viral Pneumonia at Chest CT
Harrison X. Bai et al.
RADIOLOGY (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)
Artificial intelligence-enabled rapid diagnosis of patients with COVID-19
Xueyan Mei et al.
NATURE MEDICINE (2020)
A systematic review of chest imaging findings in COVID-19
Zhonghua Sun et al.
QUANTITATIVE IMAGING IN MEDICINE AND SURGERY (2020)
COVID-19 detection using deep learning models to exploit Social Mimic Optimization and structured chest X-ray images using fuzzy color and stacking approaches
Mesut Togacar et al.
COMPUTERS IN BIOLOGY AND MEDICINE (2020)
Application of deep learning technique to manage COVID-19 in routine clinical practice using CT images: Results of 10 convolutional neural networks
Ali Abbasian Ardakani et al.
COMPUTERS IN BIOLOGY AND MEDICINE (2020)
Automated detection of COVID-19 cases using deep neural networks with X-ray images
Tulin Ozturk et al.
COMPUTERS IN BIOLOGY AND MEDICINE (2020)
A Novel Medical Diagnosis model for COVID-19 infection detection based on Deep Features and Bayesian Optimization
Majid Nour et al.
APPLIED SOFT COMPUTING (2020)
Deep learning -based multi -view fusion model for screening 2019 novel coronavirus pneumonia: A multicentre study
Xiangjun Wu et al.
EUROPEAN JOURNAL OF RADIOLOGY (2020)
From community-acquired pneumonia to COVID-19: a deep learning-based method for quantitative analysis of COVID-19 on thick-section CT scans
Zhang Li et al.
EUROPEAN RADIOLOGY (2020)
Cancer Patients and Risk of Mortality for COVID-19
Giuseppe Curigliano
CANCER CELL (2020)
Age and Multimorbidity Predict Death Among COVID-19 Patients Results of the SARS-RAS Study of the Italian Society of Hypertension
Guido Iaccarino et al.
HYPERTENSION (2020)
Diagnosis of Coronavirus Disease 2019 (COVID-19) With Structured Latent Multi-View Representation Learning
Hengyuan Kang et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2020)
Dual-Sampling Attention Network for Diagnosis of COVID-19 From Community Acquired Pneumonia
Xi Ouyang et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2020)
A Weakly-Supervised Framework for COVID-19 Classification and Lesion Localization From Chest CT
Xinggang Wang et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2020)
Accurate Screening of COVID-19 Using Attention-Based Deep 3D Multiple Instance Learning
Zhongyi Han et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2020)
Deep Learning COVID-19 Features on CXR Using Limited Training Data Sets
Yujin Oh et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2020)
Deep Learning for Classification and Localization of COVID-19 Markers in Point-of-Care Lung Ultrasound
Subhankar Roy et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2020)
A Deep Learning System to Screen Novel Coronavirus Disease 2019 Pneumonia
Xiaowei Xu et al.
ENGINEERING (2020)
Development and Validation of a Deep Learning-Based Model Using Computed Tomography Imaging for Predicting Disease Severity of Coronavirus Disease 2019
Lu-Shan Xiao et al.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY (2020)
Deep Learning-Based Decision-Tree Classifier for COVID-19 Diagnosis From Chest X-ray Imaging
Seung Hoon Yoo et al.
FRONTIERS IN MEDICINE (2020)
COVID-19 Pneumonia Diagnosis Using a Simple 2D Deep Learning Framework With a Single Chest CT Image: Model Development and Validation
Hoon Ko et al.
JOURNAL OF MEDICAL INTERNET RESEARCH (2020)
False Negative Tests for SARS-CoV-2 Infection - Challenges and Implications
Steven Woloshin et al.
NEW ENGLAND JOURNAL OF MEDICINE (2020)
New machine learning method for image-based diagnosis of COVID-19
Mohamed Abd Elaziz et al.
PLOS ONE (2020)
Deep transfer learning artificial intelligence accurately stages COVID-19 lung disease severity on portable chest radiographs
Jocelyn Zhu et al.
PLOS ONE (2020)
RadioGraphics Update: Radiographic and CT Features of Viral Pneumonia
Hyun Jung Koo et al.
RADIOGRAPHICS (2020)
Frequency and Distribution of Chest Radiographic Findings in Patients Positive for COVID-19
Ho Yuen Frank Wong et al.
RADIOLOGY (2020)
CORRELATION BETWEEN CHEST COMPUTED TOMOGRAPHY AND LUNG ULTRASONOGRAPHY IN PATIENTS WITH CORONAVIRUS DISEASE 2019 (COVID-19)
Yale Tung-Chen et al.
ULTRASOUND IN MEDICINE AND BIOLOGY (2020)
CT features of COVID-19 patients with two consecutive negative RT-PCR tests after treatment
Zhao Fu et al.
SCIENTIFIC REPORTS (2020)
Developing intelligent medical image modality classification system using deep transfer learning and LDA
Mehdi Hassan et al.
SCIENTIFIC REPORTS (2020)
Comparing different deep learning architectures for classification of chest radiographs
Keno K. Bressem et al.
SCIENTIFIC REPORTS (2020)
Deep-COVID: Predicting COVID-19 from chest X-ray images using deep transfer learning
Shervin Minaee et al.
MEDICAL IMAGE ANALYSIS (2020)
Early prediction of disease progression in COVID-19 pneumonia patients with chest CT and clinical characteristics
Zhichao Feng et al.
NATURE COMMUNICATIONS (2020)
Artificial intelligence for the detection of COVID-19 pneumonia on chest CT using multinational datasets
Stephanie A. Harmon et al.
NATURE COMMUNICATIONS (2020)
Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification With Chest CT
Liang Sun et al.
IEEE Journal of Biomedical and Health Informatics (2020)
Predictive value of CT in the short-term mortality of Coronavirus Disease 2019 (COVID-19) pneumonia in nonelderly patients: A case-control study
Seyed Mohammad Hossein Tabatabaei et al.
EUROPEAN JOURNAL OF RADIOLOGY (2020)
Automatic distinction between COVID-19 and common pneumonia using multi-scale convolutional neural network on chest CT scans
Tao Yan et al.
CHAOS SOLITONS & FRACTALS (2020)
Convolutional capsnet: A novel artificial neural network approach to detect COVID-19 disease from X-ray images using capsule networks
Suat Toraman et al.
CHAOS SOLITONS & FRACTALS (2020)
CVDNet: A novel deep learning architecture for detection of coronavirus (Covid-19) from chest x-ray images
Chaimae Ouchicha et al.
CHAOS SOLITONS & FRACTALS (2020)
CoroNet: A deep neural network for detection and diagnosis of COVID-19 from chest x-ray images
Asif Iqbal Khan et al.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2020)
Automatic Pleural Line Extraction and COVID-19 Scoring From Lung Ultrasound Data
Leonardo Carrer et al.
IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL (2020)
Explainable Deep Learning for Pulmonary Disease and Coronavirus COVID-19 Detection from X-rays
Luca Brunese et al.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2020)
Automated Assessment and Tracking of COVID-19 Pulmonary Disease Severity on Chest Radiographs Using Convolutional Siamese Neural Networks
Matthew D. Li et al.
RADIOLOGY-ARTIFICIAL INTELLIGENCE (2020)
Imaging Profile of the COVID-19 Infection: Radiologic Findings and Literature Review
Ming-Yen Ng et al.
RADIOLOGY-CARDIOTHORACIC IMAGING (2020)
Chest Imaging Appearance of COVID-19 Infection
Weifang Kong et al.
RADIOLOGY-CARDIOTHORACIC IMAGING (2020)
The Effect of Image Resolution on Deep Learning in Radiography
Carl F. Sabottke et al.
RADIOLOGY-ARTIFICIAL INTELLIGENCE (2020)
Chest Radiographic and CT Findings of the 2019 Novel Coronavirus Disease (COVID-19): Analysis of Nine Patients Treated in Korea
Soon Ho Yoon et al.
KOREAN JOURNAL OF RADIOLOGY (2020)
Weakly Supervised Deep Learning for COVID-19 Infection Detection and Classification From CT Images
Shaoping Hu et al.
IEEE ACCESS (2020)
COVID-19 Detection Through Transfer Learning Using Multimodal Imaging Data
Michael J. Horry et al.
IEEE ACCESS (2020)
Can AI Help in Screening Viral and COVID-19 Pneumonia?
Muhammad E. H. Chowdhury et al.
IEEE ACCESS (2020)
Predicting EGFR mutation status in lung adenocarcinoma on computed tomography image using deep learning
Shuo Wang et al.
EUROPEAN RESPIRATORY JOURNAL (2019)
Deep learning in medical imaging and radiation therapy
Berkman Sahiner et al.
MEDICAL PHYSICS (2019)
DRUNET: a dilated-residual U-Net deep learning network to segment optic nerve head tissues in optical coherence tomography images
Sripad Krishna Devalla et al.
BIOMEDICAL OPTICS EXPRESS (2018)
Artificial intelligence in radiology
Ahmed Hosny et al.
NATURE REVIEWS CANCER (2018)
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2017)
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2017)
A survey on deep learning in medical image analysis
Geert Litjens et al.
MEDICAL IMAGE ANALYSIS (2017)
The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation
Simon Jegou et al.
2017 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS (CVPRW) (2017)
Densely Connected Convolutional Networks
Gao Huang et al.
30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)
Xception: Deep Learning with Depthwise Separable Convolutions
Francois Chollet
30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)
Probabilistic machine learning and artificial intelligence
Zoubin Ghahramani
NATURE (2015)
Deep learning in neural networks: An overview
Juergen Schmidhuber
NEURAL NETWORKS (2015)
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)
Imaging of community-acquired pneumonia: Roles of imaging examinations, imaging diagnosis of specific pathogens and discrimination from noninfectious diseases
Atsushi Nambu et al.
WORLD JOURNAL OF RADIOLOGY (2014)
A Few Useful Things to Know About Machine Learning
Pedro Domingos
COMMUNICATIONS OF THE ACM (2012)
Radiologic pattern of disease in patients with severe acute respiratory syndrome: The Toronto experience
NS Paul et al.
RADIOGRAPHICS (2004)
分享论文
