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Armato, Samuel G.
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Armato, Samuel G.
Automated lung segmentation in digital lateral chest radiographs.
Automated registration of frontal and lateral radionuclide lung scans with digital chest radiographs.
Massive training artificial neural network (MTANN) for reduction of false positives in computerized detection of lung nodules in low-dose computed tomography.
Automated matching of temporally sequential CT sections.
Evaluation of lung MDCT nodule annotation across radiologists and methods.
The Lung Image Database Consortium (LIDC) data collection process for nodule detection and annotation.
Automated lung segmentation for thoracic CT impact on computer-aided diagnosis.
The Lung Image Database Consortium (LIDC): ensuring the integrity of expert-defined "truth".
Measurement of mesothelioma on thoracic CT scans: a comparison of manual and computer-assisted techniques.
Evaluation of semiautomated measurements of mesothelioma tumor thickness on CT scans.
Variability in mesothelioma tumor response classification.
The Lung Image Database Consortium (LIDC): a comparison of different size metrics for pulmonary nodule measurements.
The influence of initial outlines on manual segmentation.
The Lung Image Database Consortium (LIDC): an evaluation of radiologist variability in the identification of lung nodules on CT scans.
Assessment of radiologist performance in the detection of lung nodules: dependence on the definition of "truth".
Observer variability in mesothelioma tumor thickness measurements: defining minimally measurable lesions.
Variability of tumor area measurements for response assessment in malignant pleural mesothelioma.