Samuel G. Armato to Artificial Intelligence
This is a "connection" page, showing publications Samuel G. Armato has written about Artificial Intelligence.
Connection Strength
1.694
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The Lung Image Database Consortium (LIDC): an evaluation of radiologist variability in the identification of lung nodules on CT scans. Acad Radiol. 2007 Nov; 14(11):1409-21.
Score: 0.251
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Temporal subtraction in chest radiography: automated assessment of registration accuracy. Med Phys. 2006 May; 33(5):1239-49.
Score: 0.226
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Evaluation of semiautomated measurements of mesothelioma tumor thickness on CT scans. Acad Radiol. 2005 Oct; 12(10):1301-9.
Score: 0.217
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Best Practices for Artificial Intelligence and Machine Learning for Computer-Aided Diagnosis in Medical Imaging. J Am Coll Radiol. 2024 Feb; 21(2):341-343.
Score: 0.190
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AI in medical imaging grand challenges: translation from competition to research benefit and patient care. Br J Radiol. 2023 Oct; 96(1150):20221152.
Score: 0.188
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A Competition, Benchmark, Code, and Data for Using Artificial Intelligence to Detect Lesions in Digital Breast Tomosynthesis. JAMA Netw Open. 2023 02 01; 6(2):e230524.
Score: 0.181
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AAPM task group report 273: Recommendations on best practices for AI and machine learning for computer-aided diagnosis in medical imaging. Med Phys. 2023 Feb; 50(2):e1-e24.
Score: 0.180
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Evaluation of lung MDCT nodule annotation across radiologists and methods. Acad Radiol. 2006 Oct; 13(10):1254-65.
Score: 0.058
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Automated detection of lung nodules in CT scans: false-positive reduction with the radial-gradient index. Med Phys. 2006 Apr; 33(4):1133-40.
Score: 0.056
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Measurement of mesothelioma on thoracic CT scans: a comparison of manual and computer-assisted techniques. Med Phys. 2004 May; 31(5):1105-15.
Score: 0.049
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QIBA guidance: Computed tomography imaging for COVID-19 quantitative imaging applications. Clin Imaging. 2021 Sep; 77:151-157.
Score: 0.040
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Mixture of expert 3D massive-training ANNs for reduction of multiple types of false positives in CAD for detection of polyps in CT colonography. Med Phys. 2008 Feb; 35(2):694-703.
Score: 0.016
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Automated lung segmentation of diseased and artifact-corrupted magnetic resonance sections. Med Phys. 2006 Sep; 33(9):3085-93.
Score: 0.014
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Vessel tree reconstruction in thoracic CT scans with application to nodule detection. IEEE Trans Med Imaging. 2005 Apr; 24(4):486-99.
Score: 0.013
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Automated matching of temporally sequential CT sections. Med Phys. 2004 Dec; 31(12):3417-24.
Score: 0.013