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Academic Radiology
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November 24, 2007
The Lung Image Database Consortium (LIDC): ensuring the integrity of expert-defined "truth"
Samuel G Armato, Rachael Y Roberts, Michael F McNitt-Gray, et al.
Academic Radiology
|
November 24, 2007
The Lung Image Database Consortium (LIDC): a comparison of different size metrics for pulmonary nodule measurements
Anthony P Reeves, Alberto M Biancardi, Tatiyana V Apanasovich, et al.
Clinical Imaging
|
March 8, 2021
QIBA guidance: Computed tomography imaging for COVID-19 quantitative imaging applications
Ricardo S Avila, Sean B Fain, Chuck Hatt, et al.
Medical Physics
|
December 24, 2022
AAPM task group report 273: Recommendations on best practices for AI and machine learning for computer-aided diagnosis in medical imaging
Lubomir Hadjiiski, Kenny Cha, Heang-Ping Chan, et al.
Medical Physics
|
August 10, 2013
Evaluation of computer-aided detection and diagnosis systems
Nicholas Petrick, Berkman Sahiner, Samuel G Armato, et al.
Academic Radiology
|
December 10, 2008
Assessment of radiologist performance in the detection of lung nodules: dependence on the definition of "truth"
Samuel G Armato, Rachael Y Roberts, Masha Kocherginsky, et al.
Journal of Clinical Oncology : Official Journal of the American Society of Clinical Oncology
|
June 6, 2012
Multicenter, double-blind, placebo-controlled, randomized phase II trial of gemcitabine/cisplatin plus bevacizumab or placebo in patients with malignant mesothelioma
Hedy L Kindler, Theodore G Karrison, David R Gandara, et al.
Clinical Social Work Journal
|
November 22, 2021
Student Reflections on Shared Trauma: One Year Later
Shari Bloomberg, Carol Tosone, Valencia M Agordo, et al.
Medical Image Analysis
|
June 25, 2010
Comparing and combining algorithms for computer-aided detection of pulmonary nodules in computed tomography scans: The ANODE09 study
Bram 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 testing
Usman Mahmood, Amita Shukla-Dave, Heang-Ping Chan, et al.
Page
of 34
Search research articles
Search
Showing results (311-320 of 334) with videos related to
Sort By:
Page
of 34
Academic Radiology
|
November 24, 2007
The Lung Image Database Consortium (LIDC): ensuring the integrity of expert-defined "truth"
Samuel G Armato, Rachael Y Roberts, Michael F McNitt-Gray, et al.
Academic Radiology
|
November 24, 2007
The Lung Image Database Consortium (LIDC): a comparison of different size metrics for pulmonary nodule measurements
Anthony P Reeves, Alberto M Biancardi, Tatiyana V Apanasovich, et al.
Clinical Imaging
|
March 8, 2021
QIBA guidance: Computed tomography imaging for COVID-19 quantitative imaging applications
Ricardo S Avila, Sean B Fain, Chuck Hatt, et al.
Medical Physics
|
December 24, 2022
AAPM task group report 273: Recommendations on best practices for AI and machine learning for computer-aided diagnosis in medical imaging
Lubomir Hadjiiski, Kenny Cha, Heang-Ping Chan, et al.
Medical Physics
|
August 10, 2013
Evaluation of computer-aided detection and diagnosis systems
Nicholas Petrick, Berkman Sahiner, Samuel G Armato, et al.
Academic Radiology
|
December 10, 2008
Assessment of radiologist performance in the detection of lung nodules: dependence on the definition of "truth"
Samuel G Armato, Rachael Y Roberts, Masha Kocherginsky, et al.
Journal of Clinical Oncology : Official Journal of the American Society of Clinical Oncology
|
June 6, 2012
Multicenter, double-blind, placebo-controlled, randomized phase II trial of gemcitabine/cisplatin plus bevacizumab or placebo in patients with malignant mesothelioma
Hedy L Kindler, Theodore G Karrison, David R Gandara, et al.
Clinical Social Work Journal
|
November 22, 2021
Student Reflections on Shared Trauma: One Year Later
Shari Bloomberg, Carol Tosone, Valencia M Agordo, et al.
Medical Image Analysis
|
June 25, 2010
Comparing and combining algorithms for computer-aided detection of pulmonary nodules in computed tomography scans: The ANODE09 study
Bram 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 testing
Usman Mahmood, Amita Shukla-Dave, Heang-Ping Chan, et al.
Page
of 34