Samuel Armato to Humans
This is a "connection" page, showing publications Samuel Armato has written about Humans.
Connection Strength
0.847
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Imaging in pleural Mesothelioma: A review of the 16th International Conference of the International Mesothelioma Interest Group. Lung Cancer. 2024 Jul; 193:107832.
Score: 0.028
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Considerations for Imaging of Malignant Pleural Mesothelioma: A Consensus Statement from the International Mesothelioma Interest Group. J Thorac Oncol. 2023 03; 18(3):278-298.
Score: 0.025
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Imaging in pleural mesothelioma: A review of the 15th International Conference of the International Mesothelioma Interest Group. Lung Cancer. 2022 02; 164:76-83.
Score: 0.023
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Deep Learning Demonstrates Potential for Lung Cancer Detection in Chest Radiography. Radiology. 2020 12; 297(3):697-698.
Score: 0.022
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Ontology-Based Radiology Teaching File Summarization, Coverage, and Integration. J Digit Imaging. 2020 06; 33(3):797-813.
Score: 0.021
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Response. Chest. 2019 10; 156(4):810-811.
Score: 0.020
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Critical Challenges to the Management of Clinical Trial Imaging: Recommendations for the Conduct of Imaging at Investigational Sites. Acad Radiol. 2020 02; 27(2):300-306.
Score: 0.020
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Accuracy of the Vancouver Lung Cancer Risk Prediction Model Compared With That of Radiologists. Chest. 2019 07; 156(1):112-119.
Score: 0.019
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Correlation of patient survival with clinical tumor measurements in malignant pleural mesothelioma. Eur Radiol. 2019 Jun; 29(6):2981-2988.
Score: 0.019
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Imaging in pleural mesothelioma: A review of the 14th International Conference of the International Mesothelioma Interest Group. Lung Cancer. 2019 04; 130:108-114.
Score: 0.019
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Revised Modified Response Evaluation Criteria in Solid Tumors for Assessment of Response in Malignant Pleural Mesothelioma (Version 1.1). J Thorac Oncol. 2018 07; 13(7):1012-1021.
Score: 0.018
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Imaging in pleural mesothelioma: A review of the 13th International Conference of the International Mesothelioma Interest Group. Lung Cancer. 2016 11; 101:48-58.
Score: 0.016
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Toward Understanding the Size Dependence of Shape Features for Predicting Spiculation in Lung Nodules for Computer-Aided Diagnosis. J Digit Imaging. 2015 Dec; 28(6):704-17.
Score: 0.015
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Comparison of Two Deformable Registration Algorithms in the Presence of Radiologic Change Between Serial Lung CT Scans. J Digit Imaging. 2015 Dec; 28(6):755-60.
Score: 0.015
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Imaging in pleural mesothelioma: A review of the 12th International Conference of the International Mesothelioma Interest Group. Lung Cancer. 2015 Nov; 90(2):148-54.
Score: 0.015
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Radiologic-pathologic correlation of mesothelioma tumor volume. Lung Cancer. 2015 Mar; 87(3):278-82.
Score: 0.015
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Observer variability in mesothelioma tumor thickness measurements: defining minimally measurable lesions. J Thorac Oncol. 2014 Aug; 9(8):1187-94.
Score: 0.014
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Imaging in pleural mesothelioma: a review of the 11th International Conference of the International Mesothelioma Interest Group. Lung Cancer. 2013 Nov; 82(2):190-6.
Score: 0.013
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Variability of tumor area measurements for response assessment in malignant pleural mesothelioma. Med Phys. 2013 Aug; 40(8):081916.
Score: 0.013
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Disease volumes as a marker for patient response in malignant pleural mesothelioma. Ann Oncol. 2013 Apr; 24(4):999-1005.
Score: 0.012
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Lung texture in serial thoracic CT scans: assessment of change introduced by image registration. Med Phys. 2012 Aug; 39(8):4679-90.
Score: 0.012
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The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): a completed reference database of lung nodules on CT scans. Med Phys. 2011 Feb; 38(2):915-31.
Score: 0.011
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Characterization of mesothelioma and tissues present in contrast-enhanced thoracic CT scans. Med Phys. 2011 Feb; 38(2):942-7.
Score: 0.011
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The influence of initial outlines on manual segmentation. Med Phys. 2010 May; 37(5):2153-8.
Score: 0.010
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Temporal subtraction in chest radiography: mutual information as a measure of image quality. Med Phys. 2009 Dec; 36(12):5675-82.
Score: 0.010
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Temporal subtraction chest radiography. Eur J Radiol. 2009 Nov; 72(2):238-43.
Score: 0.010
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A modified gradient correlation filter for image segmentation: application to airway and bowel. Med Phys. 2009 Feb; 36(2):480-5.
Score: 0.010
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Assessment of radiologist performance in the detection of lung nodules: dependence on the definition of "truth". Acad Radiol. 2009 Jan; 16(1):28-38.
Score: 0.010
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The Reference Image Database to Evaluate Response to therapy in lung cancer (RIDER) project: a resource for the development of change-analysis software. Clin Pharmacol Ther. 2008 Oct; 84(4):448-56.
Score: 0.009
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Discrete-space versus continuous-space lesion boundary and area definitions. Med Phys. 2008 Sep; 35(9):4070-8.
Score: 0.009
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Dual energy subtraction and temporal subtraction chest radiography. J Thorac Imaging. 2008 May; 23(2):77-85.
Score: 0.009
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Current state and future directions of pleural mesothelioma imaging. Lung Cancer. 2008 Mar; 59(3):411-20.
Score: 0.009
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The Lung Image Database Consortium (LIDC): ensuring the integrity of expert-defined "truth". Acad Radiol. 2007 Dec; 14(12):1455-63.
Score: 0.009
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The Lung Image Database Consortium (LIDC): an evaluation of radiologist variability in the identification of lung nodules on CT scans. Acad Radiol. 2007 Nov; 14(11):1409-21.
Score: 0.009
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Two-dimensional extrapolation methods for texture analysis on CT scans. Med Phys. 2007 Sep; 34(9):3465-72.
Score: 0.009
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Temporal subtraction of dual-energy chest radiographs. Med Phys. 2006 Jun; 33(6):1911-9.
Score: 0.008
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Temporal subtraction in chest radiography: automated assessment of registration accuracy. Med Phys. 2006 May; 33(5):1239-49.
Score: 0.008
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Variability in mesothelioma tumor response classification. AJR Am J Roentgenol. 2006 Apr; 186(4):1000-6.
Score: 0.008
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The Business of Scientific Publishing. J Appl Clin Med Phys. 2016 01 08; 17(1):1-3.
Score: 0.008
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The radiologic measurement of mesothelioma. Hematol Oncol Clin North Am. 2005 Dec; 19(6):1053-66, vi.
Score: 0.008
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Evaluation of semiautomated measurements of mesothelioma tumor thickness on CT scans. Acad Radiol. 2005 Oct; 12(10):1301-9.
Score: 0.008
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Computerized analysis of mesothelioma on CT scans. Lung Cancer. 2005 Jul; 49 Suppl 1:S41-4.
Score: 0.007
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Evaluation of automated lung nodule detection on low-dose computed tomography scans from a lung cancer screening program(1). Acad Radiol. 2005 Mar; 12(3):337-46.
Score: 0.007
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Lung image database consortium: developing a resource for the medical imaging research community. Radiology. 2004 Sep; 232(3):739-48.
Score: 0.007
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Automated lung segmentation for thoracic CT impact on computer-aided diagnosis. Acad Radiol. 2004 Sep; 11(9):1011-21.
Score: 0.007
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Measurement of mesothelioma on thoracic CT scans: a comparison of manual and computer-assisted techniques. Med Phys. 2004 May; 31(5):1105-15.
Score: 0.007
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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: 0.007
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Image annotation for conveying automated lung nodule detection results to radiologists. Acad Radiol. 2003 Sep; 10(9):1000-7.
Score: 0.007
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Germline Variants Incidentally Detected via Tumor-Only Genomic Profiling of Patients With Mesothelioma. JAMA Netw Open. 2023 08 01; 6(8):e2327351.
Score: 0.007
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Automated lung nodule classification following automated nodule detection on CT: a serial approach. Med Phys. 2003 Jun; 30(6):1188-97.
Score: 0.006
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Emphysema Detection in the Course of Lung Cancer Screening: Optimizing a Rare Opportunity to Impact Population Health. Ann Am Thorac Soc. 2023 04; 20(4):499-503.
Score: 0.006
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Automated detection of lung nodules in CT scans: effect of image reconstruction algorithm. Med Phys. 2003 Mar; 30(3):461-72.
Score: 0.006
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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: 0.006
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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: 0.006
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Lung cancer: performance of automated lung nodule detection applied to cancers missed in a CT screening program. Radiology. 2002 Dec; 225(3):685-92.
Score: 0.006
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Interviewing for residency positions while completing a graduate degree: Considerations for graduate students, mentors, and program directors. J Appl Clin Med Phys. 2022 08; 23(8):e13700.
Score: 0.006
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The role of imaging in diagnosis and management of malignant peritoneal mesothelioma: a systematic review. Abdom Radiol (NY). 2022 05; 47(5):1725-1740.
Score: 0.006
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Computer-aided diagnosis in medical imaging. IEEE Trans Med Imaging. 2001 Dec; 20(12):1205-8.
Score: 0.006
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Automated detection of lung nodules in CT scans: preliminary results. Med Phys. 2001 Aug; 28(8):1552-61.
Score: 0.006
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Anatomic Point-Based Lung Region with Zone Identification for Radiologist Annotation and Machine Learning for Chest Radiographs. J Digit Imaging. 2021 08; 34(4):922-931.
Score: 0.006
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QIBA guidance: Computed tomography imaging for COVID-19 quantitative imaging applications. Clin Imaging. 2021 Sep; 77:151-157.
Score: 0.006
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Automated registration of frontal and lateral radionuclide lung scans with digital chest radiographs. Acad Radiol. 2000 Jul; 7(7):530-9.
Score: 0.005
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Optimization of response classification criteria for patients with malignant pleural mesothelioma, a validation study. Lung Cancer. 2019 12; 138:139-140.
Score: 0.005
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EURACAN/IASLC Proposals for Updating the Histologic Classification of Pleural Mesothelioma: Towards a More Multidisciplinary Approach. J Thorac Oncol. 2020 01; 15(1):29-49.
Score: 0.005
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Computerized detection of pulmonary nodules on CT scans. Radiographics. 1999 Sep-Oct; 19(5):1303-11.
Score: 0.005
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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 Meeting. J Thorac Oncol. 2019 10; 14(10):1718-1731.
Score: 0.005
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Computerized analysis of abnormal asymmetry in digital chest radiographs: evaluation of potential utility. J Digit Imaging. 1999 Feb; 12(1):34-42.
Score: 0.005
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Autosegmentation for thoracic radiation treatment planning: A grand challenge at AAPM 2017. Med Phys. 2018 Oct; 45(10):4568-4581.
Score: 0.005
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Computer-assisted Curie scoring for metaiodobenzylguanidine (MIBG) scans in patients with neuroblastoma. Pediatr Blood Cancer. 2018 12; 65(12):e27417.
Score: 0.005
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Automated lung segmentation in digital lateral chest radiographs. Med Phys. 1998 Aug; 25(8):1507-20.
Score: 0.005
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Computerized delineation and analysis of costophrenic angles in digital chest radiographs. Acad Radiol. 1998 May; 5(5):329-35.
Score: 0.005
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Automated lung segmentation in digitized posteroanterior chest radiographs. Acad Radiol. 1998 Apr; 5(4):245-55.
Score: 0.005
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Treatment of Malignant Pleural Mesothelioma: American Society of Clinical Oncology Clinical Practice Guideline. J Clin Oncol. 2018 05 01; 36(13):1343-1373.
Score: 0.004
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Quality assurance and quantitative imaging biomarkers in low-dose CT lung cancer screening. Br J Radiol. 2018 Oct; 91(1090):20170401.
Score: 0.004
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Three-dimensional image analysis for staging chronic rhinosinusitis. Int Forum Allergy Rhinol. 2017 11; 7(11):1052-1057.
Score: 0.004
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Incorporation of pre-therapy 18 F-FDG uptake data with CT texture features into a radiomics model for radiation pneumonitis diagnosis. Med Phys. 2017 Jul; 44(7):3686-3694.
Score: 0.004
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Automated registration of ventilation-perfusion images with digital chest radiographs. Acad Radiol. 1997 Mar; 4(3):183-92.
Score: 0.004
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Clinical significance of noncalcified lung nodules in patients with breast cancer. Breast Cancer Res Treat. 2016 Sep; 159(2):265-71.
Score: 0.004
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North American Multicenter Volumetric CT Study for Clinical Staging of Malignant Pleural Mesothelioma: Feasibility and Logistics of Setting Up a Quantitative Imaging Study. J Thorac Oncol. 2016 08; 11(8):1335-1344.
Score: 0.004
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Computer-assisted staging of chronic rhinosinusitis correlates with symptoms. Int Forum Allergy Rhinol. 2015 Jul; 5(7):637-642.
Score: 0.004
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Role of the Quantitative Imaging Biomarker Alliance in optimizing CT for the evaluation of lung cancer screen-detected nodules. J Am Coll Radiol. 2015 Apr; 12(4):390-5.
Score: 0.004
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Lung texture in serial thoracic computed tomography scans: correlation of radiomics-based features with radiation therapy dose and radiation pneumonitis development. Int J Radiat Oncol Biol Phys. 2015 Apr 01; 91(5):1048-56.
Score: 0.004
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Computer-aided nodule detection system: results in an unselected series of consecutive chest radiographs. Acad Radiol. 2015 Apr; 22(4):475-80.
Score: 0.004
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Lung texture in serial thoracic CT scans: correlation with radiologist-defined severity of acute changes following radiation therapy. Phys Med Biol. 2014 Sep 21; 59(18):5387-98.
Score: 0.004
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CT-based pulmonary artery measurements for the assessment of pulmonary hypertension. Acad Radiol. 2014 Apr; 21(4):523-30.
Score: 0.003
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Evaluation of computer-aided detection and diagnosis systems. Med Phys. 2013 Aug; 40(8):087001.
Score: 0.003
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Lung texture in serial thoracic CT scans: registration-based methods to compare anatomically matched regions. Med Phys. 2013 Jun; 40(6):061906.
Score: 0.003
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Lung volume measurements as a surrogate marker for patient response in malignant pleural mesothelioma. J Thorac Oncol. 2013 Apr; 8(4):478-86.
Score: 0.003
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Optimization of response classification criteria for patients with malignant pleural mesothelioma. J Thorac Oncol. 2012 Nov; 7(11):1728-34.
Score: 0.003
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Improved detection of focal pneumonia by chest radiography with bone suppression imaging. Eur Radiol. 2012 Dec; 22(12):2729-35.
Score: 0.003
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Multicenter, double-blind, placebo-controlled, randomized phase II trial of gemcitabine/cisplatin plus bevacizumab or placebo in patients with malignant mesothelioma. J Clin Oncol. 2012 Jul 10; 30(20):2509-15.
Score: 0.003
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Three-dimensional stereoscopic volume rendering of malignant pleural mesothelioma. Int Surg. 2012 Jan-Mar; 97(1):65-70.
Score: 0.003
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Computerized segmentation and measurement of malignant pleural mesothelioma. Med Phys. 2011 Jan; 38(1):238-44.
Score: 0.003
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Quantitative measurement of lung reexpansion in malignant pleural mesothelioma patients undergoing pleurectomy/decortication. Acad Radiol. 2011 Mar; 18(3):294-8.
Score: 0.003
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Imaging in pleural mesothelioma: a review of imaging research presented at the 9th International Meeting of the International Mesothelioma Interest Group. Lung Cancer. 2010 Oct; 70(1):1-6.
Score: 0.003
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Lymphatic vessel density is not associated with lymph node metastasis in non-small cell lung carcinoma. Arch Pathol Lab Med. 2008 Dec; 132(12):1882-8.
Score: 0.002
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Mixture of expert 3D massive-training ANNs for reduction of multiple types of false positives in CAD for detection of polyps in CT colonography. Med Phys. 2008 Feb; 35(2):694-703.
Score: 0.002
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The Lung Image Database Consortium (LIDC) data collection process for nodule detection and annotation. Acad Radiol. 2007 Dec; 14(12):1464-74.
Score: 0.002
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The Lung Image Database Consortium (LIDC): a comparison of different size metrics for pulmonary nodule measurements. Acad Radiol. 2007 Dec; 14(12):1475-85.
Score: 0.002
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Evaluation of lung MDCT nodule annotation across radiologists and methods. Acad Radiol. 2006 Oct; 13(10):1254-65.
Score: 0.002
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Automated lung segmentation of diseased and artifact-corrupted magnetic resonance sections. Med Phys. 2006 Sep; 33(9):3085-93.
Score: 0.002
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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: 0.002
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Modeling of mesothelioma growth demonstrates weaknesses of current response criteria. Lung Cancer. 2006 May; 52(2):141-8.
Score: 0.002
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Vessel tree reconstruction in thoracic CT scans with application to nodule detection. IEEE Trans Med Imaging. 2005 Apr; 24(4):486-99.
Score: 0.002
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Automated matching of temporally sequential CT sections. Med Phys. 2004 Dec; 31(12):3417-24.
Score: 0.002
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Assessment methodologies and statistical issues for computer-aided diagnosis of lung nodules in computed tomography: contemporary research topics relevant to the lung image database consortium. Acad Radiol. 2004 Apr; 11(4):462-75.
Score: 0.002
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Massive training artificial neural network (MTANN) for reduction of false positives in computerized detection of lung nodules in low-dose computed tomography. Med Phys. 2003 Jul; 30(7):1602-17.
Score: 0.002
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Lung cancers missed at low-dose helical CT screening in a general population: comparison of clinical, histopathologic, and imaging findings. Radiology. 2002 Dec; 225(3):673-83.
Score: 0.002
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Digital chest radiography: effect of temporal subtraction images on detection accuracy. Radiology. 1997 Feb; 202(2):447-52.
Score: 0.001