Result Number | Material Type | Add to My Shelf Action | Record Details and Options |
---|---|---|---|
1 |
Material Type: Article
|
Variability of the Positive Predictive Value of PI-RADS for Prostate MRI across 26 Centers: Experience of the Society of Abdominal Radiology Prostate Cancer Disease-focused PanelRadiology, 2020-07, Vol.296 (1), p.76-84 [Peer Reviewed Journal]2020 by the Radiological Society of North America, Inc. 2020 ;ISSN: 0033-8419 ;EISSN: 1527-1315 ;DOI: 10.1148/radiol.2020190646 ;PMID: 32315265Digital Resources/Online E-Resources |
|
2 |
Material Type: Article
|
Correlation of Chest CT and RT-PCR Testing for Coronavirus Disease 2019 (COVID-19) in China: A Report of 1014 CasesRadiology, 2020-08, Vol.296 (2), p.E32-E40 [Peer Reviewed Journal]2020 by the Radiological Society of North America, Inc. 2020 ;ISSN: 0033-8419 ;EISSN: 1527-1315 ;DOI: 10.1148/radiol.2020200642 ;PMID: 32101510Digital Resources/Online E-Resources |
|
3 |
Material Type: Article
|
Time Course of Lung Changes at Chest CT during Recovery from Coronavirus Disease 2019 (COVID-19)Radiology, 2020-06, Vol.295 (3), p.715-721 [Peer Reviewed Journal]ISSN: 0033-8419 ;EISSN: 1527-1315 ;DOI: 10.1148/radiol.2020200370 ;PMID: 32053470Digital Resources/Online E-Resources |
|
4 |
Material Type: Article
|
CT Imaging Features of 2019 Novel Coronavirus (2019-nCoV)Radiology, 2020-04, Vol.295 (1), p.202-207 [Peer Reviewed Journal]RSNA, 2020. ;2020 by the Radiological Society of North America, Inc. 2020 ;ISSN: 0033-8419 ;EISSN: 1527-1315 ;DOI: 10.1148/radiol.2020200230 ;PMID: 32017661Digital Resources/Online E-Resources |
|
5 |
Material Type: Article
|
Using Artificial Intelligence to Detect COVID-19 and Community-acquired Pneumonia Based on Pulmonary CT: Evaluation of the Diagnostic AccuracyRadiology, 2020-08, Vol.296 (2), p.E65-E71 [Peer Reviewed Journal]ISSN: 0033-8419 ;EISSN: 1527-1315 ;DOI: 10.1148/radiol.2020200905 ;PMID: 32191588Digital Resources/Online E-Resources |
|
6 |
Material Type: Article
|
Performance of Radiologists in Differentiating COVID-19 from Non-COVID-19 Viral Pneumonia at Chest CTRadiology, 2020-08, Vol.296 (2), p.E46-E54 [Peer Reviewed Journal]ISSN: 0033-8419 ;EISSN: 1527-1315 ;DOI: 10.1148/radiol.2020200823 ;PMID: 32155105Digital Resources/Online E-Resources |
|
7 |
Material Type: Article
|
Deep Learning at Chest Radiography: Automated Classification of Pulmonary Tuberculosis by Using Convolutional Neural NetworksRadiology, 2017-08, Vol.284 (2), p.574-582 [Peer Reviewed Journal]ISSN: 0033-8419 ;EISSN: 1527-1315 ;DOI: 10.1148/radiol.2017162326 ;PMID: 28436741Digital Resources/Online E-Resources |
|
8 |
Material Type: Article
|
Frequency and Distribution of Chest Radiographic Findings in Patients Positive for COVID-19Radiology, 2020-08, Vol.296 (2), p.E72-E78 [Peer Reviewed Journal]ISSN: 0033-8419 ;EISSN: 1527-1315 ;DOI: 10.1148/radiol.2020201160 ;PMID: 32216717Digital Resources/Online E-Resources |
|
9 |
Material Type: Article
|
Intracranial Gadolinium Deposition after Contrast-enhanced MR ImagingRadiology, 2015-06, Vol.275 (3), p.772-782 [Peer Reviewed Journal]RSNA, 2015 ;ISSN: 0033-8419 ;EISSN: 1527-1315 ;DOI: 10.1148/radiol.15150025 ;PMID: 25742194Digital Resources/Online E-Resources |
|
10 |
Material Type: Article
|
Use of 2D U-Net Convolutional Neural Networks for Automated Cartilage and Meniscus Segmentation of Knee MR Imaging Data to Determine Relaxometry and MorphometryRadiology, 2018-07, Vol.288 (1), p.177-185 [Peer Reviewed Journal]2018 by the Radiological Society of North America, Inc. 2018 ;ISSN: 0033-8419 ;EISSN: 1527-1315 ;DOI: 10.1148/radiol.2018172322 ;PMID: 29584598Digital Resources/Online E-Resources |
|
11 |
Material Type: Article
|
Classification of Cancer at Prostate MRI: Deep Learning versus Clinical PI-RADS AssessmentRadiology, 2019-12, Vol.293 (3), p.607-617 [Peer Reviewed Journal]ISSN: 0033-8419 ;EISSN: 1527-1315 ;DOI: 10.1148/radiol.2019190938 ;PMID: 31592731Digital Resources/Online E-Resources |
|
12 |
Material Type: Article
|
Deep Learning-based Image Conversion of CT Reconstruction Kernels Improves Radiomics Reproducibility for Pulmonary Nodules or MassesRadiology, 2019-08, Vol.292 (2), p.365-373 [Peer Reviewed Journal]ISSN: 0033-8419 ;EISSN: 1527-1315 ;DOI: 10.1148/radiol.2019181960 ;PMID: 31210613Digital Resources/Online E-Resources |
|
13 |
Material Type: Article
|
Artificial Intelligence Augmentation of Radiologist Performance in Distinguishing COVID-19 from Pneumonia of Other Origin at Chest CTRadiology, 2020-09, Vol.296 (3), p.E156-E165 [Peer Reviewed Journal]ISSN: 0033-8419 ;EISSN: 1527-1315 ;DOI: 10.1148/radiol.2020201491 ;PMID: 32339081Digital Resources/Online E-Resources |
|
14 |
Material Type: Article
|
Deep Learning for Automated Contouring of Primary Tumor Volumes by MRI for Nasopharyngeal CarcinomaRadiology, 2019-06, Vol.291 (3), p.677-686 [Peer Reviewed Journal]ISSN: 0033-8419 ;EISSN: 1527-1315 ;DOI: 10.1148/radiol.2019182012 ;PMID: 30912722Digital Resources/Online E-Resources |
|
15 |
Material Type: Article
|
Automated Abdominal Segmentation of CT Scans for Body Composition Analysis Using Deep LearningRadiology, 2019-03, Vol.290 (3), p.669-679 [Peer Reviewed Journal]ISSN: 0033-8419 ;EISSN: 1527-1315 ;DOI: 10.1148/radiol.2018181432 ;PMID: 30526356Digital Resources/Online E-Resources |
|
16 |
Material Type: Article
|
Automation Bias in Mammography: The Impact of Artificial Intelligence BI-RADS Suggestions on Reader PerformanceRadiology, 2023-05, Vol.307 (4), p.e222176-e222176 [Peer Reviewed Journal]ISSN: 0033-8419 ;EISSN: 1527-1315 ;DOI: 10.1148/radiol.222176 ;PMID: 37129490Digital Resources/Online E-Resources |
|
17 |
Material Type: Article
|
MR Imaging of Rectal Cancer: Radiomics Analysis to Assess Treatment Response after Neoadjuvant TherapyRadiology, 2018-06, Vol.287 (3), p.833-843 [Peer Reviewed Journal]2018 by the Radiological Society of North America, Inc. 2018 ;ISSN: 0033-8419 ;EISSN: 1527-1315 ;DOI: 10.1148/radiol.2018172300 ;PMID: 29514017Digital Resources/Online E-Resources |
|
18 |
Material Type: Article
|
Interobserver Reproducibility of the PI-RADS Version 2 Lexicon: A Multicenter Study of Six Experienced Prostate RadiologistsRadiology, 2016-09, Vol.280 (3), p.793-804 [Peer Reviewed Journal]2016 by the Radiological Society of North America, Inc. 2016 ;ISSN: 0033-8419 ;EISSN: 1527-1315 ;DOI: 10.1148/radiol.2016152542 ;PMID: 27035179Digital Resources/Online E-Resources |
|
19 |
Material Type: Article
|
Lymph Node Metastasis Prediction from Primary Breast Cancer US Images Using Deep LearningRadiology, 2020-01, Vol.294 (1), p.19-28 [Peer Reviewed Journal]ISSN: 0033-8419 ;EISSN: 1527-1315 ;DOI: 10.1148/radiol.2019190372 ;PMID: 31746687Digital Resources/Online E-Resources |
|
20 |
Material Type: Article
|
Opportunistic Osteoporosis Screening at Routine Abdominal and Thoracic CT: Normative L1 Trabecular Attenuation Values in More than 20 000 AdultsRadiology, 2019-05, Vol.291 (2), p.360-367 [Peer Reviewed Journal]2019 by the Radiological Society of North America, Inc. 2019 ;ISSN: 0033-8419 ;EISSN: 1527-1315 ;DOI: 10.1148/radiol.2019181648 ;PMID: 30912719Digital Resources/Online E-Resources |