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One or more keywords matched the following properties of Armato, Samuel G.
PropertyValue
keywords computer-aided diagnosis
overview I have established my career through the development and evaluation of computerized techniques for the quantitative analysis of medical images and the assessment of tumor response to therapy. More specifically, my research has involved the computerized detection and evaluation of lung nodules in thoracic computed tomography (CT) scans, the assessment of image quality and pathologic change in temporally subtracted chest radiographic images, the computerized evaluation of mesothelioma tumor and response to therapy in CT scans, critical analyses of image-based tumor response assessment for mesothelioma, the development of objective CT-based metrics for the quantification of mucosal inflammation due to sinusitis, the application of radiomics to the pre- and post-treatment CT scans of radiation therapy patients to predict normal lung tissue complications, and the evaluation of reference standards for computer-aided diagnosis (CAD) research. As the local principal investigator for the Lung Image Database Consortium project that spanned 10 years and as the faculty director of the University of Chicago’s Human Imaging Research Office, I have extensive experience with interdisciplinary and multi-institutional image-based projects.
One or more keywords matched the following items that are connected to Armato, Samuel G.
Item TypeName
Concept Diagnosis, Computer-Assisted
Concept Diagnosis, Differential
Academic Article Computerized analysis of abnormal asymmetry in digital chest radiographs: evaluation of potential utility.
Academic Article Computerized delineation and analysis of costophrenic angles in digital chest radiographs.
Academic Article Computerized detection of pulmonary nodules on CT scans.
Academic Article Computer-aided diagnosis in medical imaging.
Academic Article Lung cancer: performance of automated lung nodule detection applied to cancers missed in a CT screening program.
Academic Article Image annotation for conveying automated lung nodule detection results to radiologists.
Academic Article 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.
Academic Article Lung image database consortium: developing a resource for the medical imaging research community.
Academic Article Evaluation of automated lung nodule detection on low-dose computed tomography scans from a lung cancer screening program(1).
Academic Article Computerized analysis of mesothelioma on CT scans.
Academic Article Current state and future directions of pleural mesothelioma imaging.
Academic Article The Lung Image Database Consortium (LIDC) data collection process for nodule detection and annotation.
Academic Article Automated lung segmentation for thoracic CT impact on computer-aided diagnosis.
Academic Article The Lung Image Database Consortium (LIDC): ensuring the integrity of expert-defined "truth".
Academic Article The Lung Image Database Consortium (LIDC): a comparison of different size metrics for pulmonary nodule measurements.
Academic Article The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): a completed reference database of lung nodules on CT scans.
Academic Article The Reference Image Database to Evaluate Response to therapy in lung cancer (RIDER) project: a resource for the development of change-analysis software.
Academic Article Quality assurance and training procedures for computer-aided detection and diagnosis systems in clinical use.
Academic Article Evaluation of computer-aided detection and diagnosis systems.
Academic Article Toward Understanding the Size Dependence of Shape Features for Predicting Spiculation in Lung Nodules for Computer-Aided Diagnosis.
Academic Article Incorporation of pre-therapy 18 F-FDG uptake data with CT texture features into a radiomics model for radiation pneumonitis diagnosis.
Academic Article Accuracy of the Vancouver Lung Cancer Risk Prediction Model Compared With That of Radiologists.
Academic Article The role of imaging in diagnosis and management of malignant peritoneal mesothelioma: a systematic review.
Academic Article AAPM task group report 273: Recommendations on best practices for AI and machine learning for computer-aided diagnosis in medical imaging.
Academic Article Best Practices for Artificial Intelligence and Machine Learning for Computer-Aided Diagnosis in Medical Imaging.
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  • Diagnosis