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Samuel G Armato

Showing results (121-130 of 133) with videos related to

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Medical Image Analysis|June 25, 2010
Comparing and combining algorithms for computer-aided detection of pulmonary nodules in computed tomography scans: The ANODE09 studyBram van Ginneken, Samuel G Armato, Bartjan de Hoop, et al.
BJR Artificial Intelligence|March 13, 2024
Artificial intelligence in medicine: mitigating risks and maximizing benefits via quality assurance, quality control, and acceptance testingUsman Mahmood, Amita Shukla-Dave, Heang-Ping Chan, et al.
BJR Artificial Intelligence|June 3, 2024
AI and machine learning in medical imaging: key points from development to translationRavi K Samala, Karen Drukker, Amita Shukla-Dave, et al.
JAMA Network Open|August 9, 2023
Germline Variants Incidentally Detected via Tumor-Only Genomic Profiling of Patients With MesotheliomaOwen D Mitchell, Katie Gilliam, Daniela Del Gaudio, et al.
Academic Radiology|October 30, 2007
The Lung Image Database Consortium (LIDC): an evaluation of radiologist variability in the identification of lung nodules on CT scansSamuel G Armato, Michael F McNitt-Gray, Anthony P Reeves, et al.
Academic Radiology|November 24, 2007
The Lung Image Database Consortium (LIDC) data collection process for nodule detection and annotationMichael F McNitt-Gray, Samuel G Armato, Charles R Meyer, et al.
Academic Radiology|September 19, 2006
Evaluation of lung MDCT nodule annotation across radiologists and methodsCharles R Meyer, Timothy D Johnson, Geoffrey McLennan, et al.
Annals of the American Thoracic Society|December 9, 2022
Emphysema Detection in the Course of Lung Cancer Screening: Optimizing a Rare Opportunity to Impact Population HealthJames L Mulshine, Carolyn R Aldigé, Laurie Fenton Ambrose, et al.
JAMA Network Open|February 23, 2023
A Competition, Benchmark, Code, and Data for Using Artificial Intelligence to Detect Lesions in Digital Breast TomosynthesisNicholas Konz, Mateusz Buda, Hanxue Gu, et al.
Journal of Thoracic Oncology : Official Publication of the International Association for the Study of Lung Cancer|August 31, 2019
Radiologic Considerations and Standardization of Malignant Pleural Mesothelioma Imaging Within Clinical Trials: Consensus Statement from the NCI Thoracic Malignancy Steering Committee - International Association for the Study of Lung Cancer - Mesothelioma Applied Research Foundation Clinical Trials Planning MeetingRitu R Gill, Anne S Tsao, Hedy L Kindler, et al.
Pageof 14

Showing results (121-130 of 133) with videos related to

Sort By:
Pageof 14
Medical Image Analysis|June 25, 2010
Comparing and combining algorithms for computer-aided detection of pulmonary nodules in computed tomography scans: The ANODE09 studyBram van Ginneken, Samuel G Armato, Bartjan de Hoop, et al.
BJR Artificial Intelligence|March 13, 2024
Artificial intelligence in medicine: mitigating risks and maximizing benefits via quality assurance, quality control, and acceptance testingUsman Mahmood, Amita Shukla-Dave, Heang-Ping Chan, et al.
BJR Artificial Intelligence|June 3, 2024
AI and machine learning in medical imaging: key points from development to translationRavi K Samala, Karen Drukker, Amita Shukla-Dave, et al.
JAMA Network Open|August 9, 2023
Germline Variants Incidentally Detected via Tumor-Only Genomic Profiling of Patients With MesotheliomaOwen D Mitchell, Katie Gilliam, Daniela Del Gaudio, et al.
Academic Radiology|October 30, 2007
The Lung Image Database Consortium (LIDC): an evaluation of radiologist variability in the identification of lung nodules on CT scansSamuel G Armato, Michael F McNitt-Gray, Anthony P Reeves, et al.
Academic Radiology|November 24, 2007
The Lung Image Database Consortium (LIDC) data collection process for nodule detection and annotationMichael F McNitt-Gray, Samuel G Armato, Charles R Meyer, et al.
Academic Radiology|September 19, 2006
Evaluation of lung MDCT nodule annotation across radiologists and methodsCharles R Meyer, Timothy D Johnson, Geoffrey McLennan, et al.
Annals of the American Thoracic Society|December 9, 2022
Emphysema Detection in the Course of Lung Cancer Screening: Optimizing a Rare Opportunity to Impact Population HealthJames L Mulshine, Carolyn R Aldigé, Laurie Fenton Ambrose, et al.
JAMA Network Open|February 23, 2023
A Competition, Benchmark, Code, and Data for Using Artificial Intelligence to Detect Lesions in Digital Breast TomosynthesisNicholas Konz, Mateusz Buda, Hanxue Gu, et al.
Journal of Thoracic Oncology : Official Publication of the International Association for the Study of Lung Cancer|August 31, 2019
Radiologic Considerations and Standardization of Malignant Pleural Mesothelioma Imaging Within Clinical Trials: Consensus Statement from the NCI Thoracic Malignancy Steering Committee - International Association for the Study of Lung Cancer - Mesothelioma Applied Research Foundation Clinical Trials Planning MeetingRitu R Gill, Anne S Tsao, Hedy L Kindler, et al.
Pageof 14