Co-Authors
This is a "connection" page, showing publications co-authored by Samuel G. Armato and Karen Drukker.
Connection Strength
1.367
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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: 0.236
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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: 0.234
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PROSTATEx Challenges for computerized classification of prostate lesions from multiparametric magnetic resonance images. J Med Imaging (Bellingham). 2018 Oct; 5(4):044501.
Score: 0.167
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Letter to the Editor: Use of Publicly Available Image Resources. Acad Radiol. 2017 07; 24(7):916-917.
Score: 0.151
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LUNGx Challenge for computerized lung nodule classification. J Med Imaging (Bellingham). 2016 Oct; 3(4):044506.
Score: 0.147
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LUNGx Challenge for computerized lung nodule classification: reflections and lessons learned. J Med Imaging (Bellingham). 2015 Apr; 2(2):020103.
Score: 0.130
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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: 0.070
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AI and machine learning in medical imaging: key points from development to translation. BJR Artif Intell. 2024 Jan; 1(1):ubae006.
Score: 0.061
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Artificial intelligence in medicine: mitigating risks and maximizing benefits via quality assurance, quality control, and acceptance testing. BJR Artif Intell. 2024 Jan; 1(1):ubae003.
Score: 0.060
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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: 0.056
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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: 0.056