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Armato

Showing results (321-330 of 334) with videos related to

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Frontiers in Neurology|December 17, 2020
Upright BPPV Protocol: Feasibility of a New Diagnostic Paradigm for Lateral Semicircular Canal Benign Paroxysmal Positional Vertigo Compared to Standard Diagnostic ManeuversSalvatore Martellucci, Pasquale Malara, Andrea Castellucci, 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.
International Journal of Molecular Sciences|May 13, 2026
Clinical and Mechanistic Evidence for Comano Thermal Water: A Narrative ReviewErmanno Baldo, Damiano Abeni, Giovanni Agostini, 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.
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.
The Lancet. Oncology|June 17, 2026
Development and validation of artificial intelligence-assisted volumetric response criteria in pleural mesothelioma (ARTIMES): a retrospective, multicohort, multicentre studyKevin B W Groot Lipman, Rianne Wittenberg, Mateus de Oliveira Taveira, et al.
Pageof 34

Showing results (321-330 of 334) with videos related to

Sort By:
Pageof 34
Frontiers in Neurology|December 17, 2020
Upright BPPV Protocol: Feasibility of a New Diagnostic Paradigm for Lateral Semicircular Canal Benign Paroxysmal Positional Vertigo Compared to Standard Diagnostic ManeuversSalvatore Martellucci, Pasquale Malara, Andrea Castellucci, 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.
International Journal of Molecular Sciences|May 13, 2026
Clinical and Mechanistic Evidence for Comano Thermal Water: A Narrative ReviewErmanno Baldo, Damiano Abeni, Giovanni Agostini, 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.
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.
The Lancet. Oncology|June 17, 2026
Development and validation of artificial intelligence-assisted volumetric response criteria in pleural mesothelioma (ARTIMES): a retrospective, multicohort, multicentre studyKevin B W Groot Lipman, Rianne Wittenberg, Mateus de Oliveira Taveira, et al.
Pageof 34