about
Inter-Method Performance Study of Tumor Volumetry Assessment on Computed Tomography Test-Retest Data.Monte Carlo reference data sets for imaging research: Executive summary of the report of AAPM Research Committee Task Group 195.The Lung Image Database Consortium (LIDC) data collection process for nodule detection and annotation.Quantitative imaging to assess tumor response to therapy: common themes of measurement, truth data, and error sourcesComputed tomography assessment of response to therapy: tumor volume change measurement, truth data, and error.Reducing radiation dose to selected organs by selecting the tube start angle in MDCT helical scans: a Monte Carlo based study.Data sets for the qualification of volumetric CT as a quantitative imaging biomarker in lung cancer.Estimated cumulative radiation dose from PET/CT in children with malignancies: a 5-year retrospective review.The feasibility of a scanner-independent technique to estimate organ dose from MDCT scans: using CTDIvol to account for differences between scanners.A novel fast helical 4D-CT acquisition technique to generate low-noise sorting artifact-free images at user-selected breathing phases.The feasibility of a regional CTDIvol to estimate organ dose from tube current modulated CT exams.A pilot study of all-trans-retinoic acid for the treatment of human emphysema.Monte Carlo simulations to assess the effects of tube current modulation on breast dose for multidetector CTComputed tomography dose assessment for a 160 mm wide, 320 detector row, cone beam CT scannerDose to radiosensitive organs during routine chest CT: effects of tube current modulationAn official American Thoracic Society/Society of Thoracic Radiology clinical practice guideline: evaluation of suspected pulmonary embolism in pregnancy.Normalized CT dose index of the CT scanners used in the National Lung Screening TrialThe feasibility of patient size-corrected, scanner-independent organ dose estimates for abdominal CT examsThe Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): a completed reference database of lung nodules on CT scans.CT dose index and patient dose: they are not the same thing.Ionizing radiation in cardiac imaging: a science advisory from the American Heart Association Committee on Cardiac Imaging of the Council on Clinical Cardiology and Committee on Cardiovascular Imaging and Intervention of the Council on CardiovasculaAAPM/RSNA Physics Tutorial for Residents: Topics in CT. Radiation dose in CT.Pulmonary nodule characterization: a comparison of conventional with quantitative and visual semi-quantitative analyses using contrast enhancement mapsRadiation issues in computed tomography screening.Determining the Variability of Lesion Size Measurements from CT Patient Data Sets Acquired under "No Change" Conditions.Characterization of the nanoDot OSLD dosimeter in CTAssessment methodologies and statistical issues for computer-aided diagnosis of lung nodules in computed tomography: contemporary research topics relevant to the lung image database consortium.The phantom portion of the American College of Radiology (ACR) computed tomography (CT) accreditation program: practical tips, artifact examples, and pitfalls to avoid.Calcified coronary artery plaque measurement with cardiac CT in population-based studies: standardized protocol of Multi-Ethnic Study of Atherosclerosis (MESA) and Coronary Artery Risk Development in Young Adults (CARDIA) study.Evaluation of lung MDCT nodule annotation across radiologists and methods.Solitary pulmonary nodule diagnosis on CT: results of an observer study.Measuring coronary calcium on CT images adjusted for attenuation differences.Coronary calcium measurements: effect of CT scanner type and calcium measure on rescan reproducibility--MESA study.A comparison of methods to estimate organ doses in CT when utilizing approximations to the tube current modulation function.Radiation Doses in Consecutive CT Examinations from Five University of California Medical Centers.The Lung Image Database Consortium (LIDC): ensuring the integrity of expert-defined "truth"Radiation exposure from CT scans: how to close our knowledge gaps, monitor and safeguard exposure--proceedings and recommendations of the Radiation Dose Summit, sponsored by NIBIB, February 24-25, 2011.The Lung Image Database Consortium (LIDC): a comparison of different size metrics for pulmonary nodule measurementsThe Lung Image Database Consortium (LIDC): an evaluation of radiologist variability in the identification of lung nodules on CT scansDescription and implementation of a quality control program in an imaging-based clinical trial.
P50
Q30993863-57FCD97A-D554-4E21-84C1-E00ED8565E4BQ31000560-2155F4C1-59BC-47B2-BA7A-19715F91F2BDQ31137533-318B830F-92CC-484A-8B43-F10CD8C0FC9FQ33517098-BC43C169-7342-40FB-8AEE-0A5C68EF9AB0Q33517101-CCE4AF01-69B4-4164-A9EF-405344A869BAQ33552916-FB736F27-9389-4559-912F-0A0988A37CB5Q33635354-AFDA4CE3-17E1-4E11-98C5-E22A26BA8C62Q33759995-7CF97338-2CE2-41FC-811F-92555047D4D9Q33819982-E229C34B-F558-4B8A-B4C4-783984CD1127Q33897872-DB06D2AB-01CE-48A2-BE96-28F7A3E2B4AEQ33941285-8160DB83-E375-4A28-9211-9C36496909AEQ33957724-A01548BB-CEF5-40AE-861C-9D27D2BFED1DQ34169699-17915C88-D186-45A0-B5D7-4903A0173566Q34169763-CAFBFF4C-6B8E-48A6-826C-AE94DE323CD3Q34195461-492BD64F-84FF-4BBE-988D-D8B29432E923Q34232956-AFD20D00-8E85-4010-A226-003E19B1A492Q34462778-BC4E5A3D-3BC6-400B-92CA-BD6CAE6A93A5Q34569895-1CABB43B-24D2-4007-B022-2E0BD52FF7FEQ34586407-BEC595EB-FECC-4AA0-8CBE-9AF6FFA84D12Q34628626-B0C006E5-3062-4277-B3CB-46C92C7E97FBQ34935565-3BA79A1E-1746-4E82-B0B5-2A4ADEF33655Q34997240-E581E0C2-1D5C-4242-B154-564FA8BCC26BQ35103773-7C3B0649-942B-46D4-A140-C998043E94CCQ35108407-72D1C577-1590-4822-89B7-D57204E20343Q35108407-DEAC3BA2-87D5-4B10-A662-FE2804E249ECQ35150656-C2BFE944-4395-4E52-95B7-49A7B4E8119CQ35202759-7C491151-77AE-4569-94A2-3EE345A6C09DQ35756149-AAC09B8C-1B55-4528-9DB6-E6603312A27AQ35919751-C6779013-43C4-45E6-B553-8C4E9540FA45Q35993254-938EFE78-72FF-44CA-9289-EBD84ABDB6F9Q36013495-BF22BF51-4B23-4C90-8DED-8E75D1449CECQ36098619-6B0B0846-5BC6-4D14-B715-756213C940F9Q36109472-9E1F0C8F-3443-414F-A302-8DD52F8CC407Q36171490-6566B34F-5211-4A82-B073-1EAD2FAB65A4Q36173654-C7D160A3-000A-4A94-9C0E-5C6F7EA13E8EQ36185823-D740E983-9942-42B2-8F7E-4D661C6E4A37Q36295512-3BF6D566-E4E2-4FEE-BEA6-E65BCDEEE4D3Q36346190-69E5D560-EBF3-4960-9925-ABCF73EDAAA5Q36419693-0B5B45B6-0003-45FC-A482-A4C9AEB05EC8Q36534233-C0302313-A987-4C0F-9718-A41437932E4D
P50
description
onderzoeker
@nl
researcher
@en
հետազոտող
@hy
name
Michael McNitt-Gray
@ast
Michael McNitt-Gray
@en
Michael McNitt-Gray
@es
Michael McNitt-Gray
@nl
type
label
Michael McNitt-Gray
@ast
Michael McNitt-Gray
@en
Michael McNitt-Gray
@es
Michael McNitt-Gray
@nl
prefLabel
Michael McNitt-Gray
@ast
Michael McNitt-Gray
@en
Michael McNitt-Gray
@es
Michael McNitt-Gray
@nl
P106
P31
P496
0000-0003-3004-4613