Related references
Note: Only part of the references are listed.Minimizing acquisition-related radiomics variability by image resampling and batch effect correction to allow for large-scale data analysis
Marta Ligero et al.
EUROPEAN RADIOLOGY (2021)
Multi-classifier-based identification of COVID-19 from chest computed tomography using generalizable and interpretable radiomics features
Lu Wang et al.
EUROPEAN JOURNAL OF RADIOLOGY (2021)
A CT radiomics analysis of COVID-19-related ground-glass opacities and consolidation: Is it valuable in a differential diagnosis with other atypical pneumonias?
Mutlu Gulbay et al.
PLOS ONE (2021)
A deep learning integrated radiomics model for identification of coronavirus disease 2019 using computed tomography
Xiaoguo Zhang et al.
SCIENTIFIC REPORTS (2021)
MRI-based clinical-radiomics model predicts tumor response before treatment in locally advanced rectal cancer
Andrea Delli Pizzi et al.
SCIENTIFIC REPORTS (2021)
CT-based radiomics combined with signs: a valuable tool to help radiologist discriminate COVID-19 and influenza pneumonia
Yilong Huang et al.
BMC MEDICAL IMAGING (2021)
Texture feature-based machine learning classifier could assist in the diagnosis of COVID-19
Zhiyuan Wu et al.
EUROPEAN JOURNAL OF RADIOLOGY (2021)
Machine learning is the key to diagnose COVID-19: a proof-of-concept study
Cedric Gangloff et al.
SCIENTIFIC REPORTS (2021)
Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study
Qi Dou et al.
NPJ DIGITAL MEDICINE (2021)
Radiomics performs comparable to morphologic assessment by expert radiologists for prediction of response to neoadjuvant chemoradiotherapy on baseline staging MRI in rectal cancer
Joost J. M. van Griethuysen et al.
ABDOMINAL RADIOLOGY (2020)
Relation Between Chest CT Findings and Clinical Conditions of Coronavirus Disease (COVID-19) Pneumonia: A Multicenter Study
Wei Zhao et al.
AMERICAN JOURNAL OF ROENTGENOLOGY (2020)
The epidemiology and pathogenesis of coronavirus disease (COVID-19) outbreak
Hussin A. Rothan et al.
JOURNAL OF AUTOIMMUNITY (2020)
Radiological findings from 81 patients with COVID-19 pneumonia in Wuhan, China: a descriptive study
Heshui Shi et al.
LANCET INFECTIOUS DISEASES (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)
Chest CT Features of COVID-19 in Rome, Italy
Damiano Caruso et al.
RADIOLOGY (2020)
COVID-19 diagnosis and management: a comprehensive review
Giuseppe Pascarella et al.
JOURNAL OF INTERNAL MEDICINE (2020)
COVID-19 pneumonia: A review of typical CT findings and differential diagnosis
C. Hani et al.
DIAGNOSTIC AND INTERVENTIONAL IMAGING (2020)
Chest CT findings in asymptomatic cases with COVID-19: a systematic review and meta-analysis
M. Tsikala Vafea et al.
CLINICAL RADIOLOGY (2020)
Identification of common and severe COVID-19: the value of CT texture analysis and correlation with clinical characteristics
Wei Wei et al.
EUROPEAN RADIOLOGY (2020)
Review of the Chest CT Differential Diagnosis of Ground-Glass Opacities in the COVID Era
Maansi Parekh et al.
RADIOLOGY (2020)
Multimodality imaging of COVID-19 pneumonia: from diagnosis to follow-up. A comprehensive review
Anna Rita Larici et al.
EUROPEAN JOURNAL OF RADIOLOGY (2020)
Curing COVID-19
[Anonymous]
LANCET INFECTIOUS DISEASES (2020)
Chest CT in COVID-19: What the Radiologist Needs to Know
Thomas C. Kwee et al.
RADIOGRAPHICS (2020)
Development and evaluation of an artificial intelligence system for COVID-19 diagnosis
Cheng Jin et al.
NATURE COMMUNICATIONS (2020)
COVID-19 pneumonia: the great radiological mimicker
Selin Ardali Duzgun et al.
INSIGHTS INTO IMAGING (2020)
The study of automatic machine learning base on radiomics of non-focus area in the first chest CT of different clinical types of COVID-19 pneumonia
Hui-Bin Tan et al.
SCIENTIFIC REPORTS (2020)
Radiological approaches to COVID-19 pneumonia
Sule Akcay et al.
TURKISH JOURNAL OF MEDICAL SCIENCES (2020)
Radiomics-based model for accurately distinguishing between severe acute respiratory syndrome associated coronavirus 2 (SARS-CoV-2) and influenza A infected pneumonia
Qi-Qiang Zeng et al.
MEDCOMM (2020)
COVID-19: a review
Irappa Madabhavi et al.
MONALDI ARCHIVES FOR CHEST DISEASE (2020)
Radiomics with artificial intelligence: a practical guide for beginners
Burak Kocak et al.
DIAGNOSTIC AND INTERVENTIONAL RADIOLOGY (2019)
Repeatability and Reproducibility of Radiomic Features: A Systematic Review
Alberto Traverso et al.
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS (2018)
Use of a Radiomics Model to Predict Tumor Invasiveness of Pulmonary Adenocarcinomas Appearing as Pulmonary Ground-Glass Nodules
Xing Xue et al.
BIOMED RESEARCH INTERNATIONAL (2018)
Radiomic analysis of pulmonary ground-glass opacity nodules for distinction of preinvasive lesions, invasive pulmonary adenocarcinoma and minimally invasive adenocarcinoma based on quantitative texture analysis of CT
Wei Li et al.
CHINESE JOURNAL OF CANCER RESEARCH (2018)
Computational Radiomics System to Decode the Radiographic Phenotype
Joost J. M. van Griethuysen et al.
CANCER RESEARCH (2017)
Overfitting in linear feature extraction for classification of high-dimensional image data
Raymond Liu et al.
PATTERN RECOGNITION (2016)
Normal Lung Quantification in Usual Interstitial Pneumonia Pattern: The Impact of Threshold-based Volumetric CT Analysis for the Staging of Idiopathic Pulmonary Fibrosis
Hirotsugu Ohkubo et al.
PLOS ONE (2016)
Fast optical signals in the sensorimotor cortex: General Linear Convolution Model applied to multiple source-detector distance-based data
Antonio Maria Chiarelli et al.
NEUROIMAGE (2014)
Quantitative Computed Tomographic Indexes in Diffuse Interstitial Lung Disease: Correlation With Physiologic Tests and Computed Tomography Visual Scores
Kyung Eun Shin et al.
JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY (2011)
Fleischner Society: Glossary of terms tor thoracic imaging
David M. Hansell et al.
RADIOLOGY (2008)
Interstitial lung disease guideline: the British Thoracic Society in collaboration with the Thoracic Society of Australia and New Zealand and the Irish thoracic society
A. U. Wells et al.
THORAX (2008)
Isolated diffuse ground-glass opacity in thoracic CT: Causes and clinical presentations
WT Miller et al.
AMERICAN JOURNAL OF ROENTGENOLOGY (2005)
Widespread ground-glass opacity of the lung in consecutive patients undergoing CT: does lobular distribution assist diagnosis?
RM Shah et al.
AMERICAN JOURNAL OF ROENTGENOLOGY (2003)
Crazy-paving pattern at thin-section CT of the lungs: Radiologic-pathologic overview
SE Rossi et al.
RADIOGRAPHICS (2003)
Automatic detection and quantification of ground-glass opacities on high-resolution CT using multiple neural networks: Comparison with a density mask
HU Kauczor et al.
AMERICAN JOURNAL OF ROENTGENOLOGY (2000)
Share Paper
