Samuel G. Armato III
According to our database1,
Samuel G. Armato III
authored at least 49 papers
between 1998 and 2023.
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Bibliography
2023
Convolutional Neural Networks for Segmentation of Malignant Pleural Mesothelioma: Analysis of Probability Map Thresholds (CALGB 30901, Alliance).
CoRR, 2023
Assessing robustness of a deep-learning model for COVID-19 classification on chest radiographs.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023
Radiomics-based classification of autosomal dominant polycystic kidney disease (ADPKD) Mayo imaging classification (MIC) and the effect of gray-level discretization.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023
Proceedings of the IEEE John Vincent Atanasoff International Symposium on Modern Computing, 2023
2022
Normalization of MRI signal intensity in polycystic kidney disease and the effect on radiomic features.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022
2021
Anatomic Point-Based Lung Region with Zone Identification for Radiologist Annotation and Machine Learning for Chest Radiographs.
J. Digit. Imaging, 2021
2020
J. Digit. Imaging, 2020
Dependence of radiomics features on CT image acquisition and reconstruction parameters using a cadaveric liver.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
Radiomics-based texture analysis of idiopathic pulmonary fibrosis for genetic and survival predictions.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
2019
Pre-trained deep convolutional neural networks for the segmentation of malignant pleural mesothelioma tumor on CT scans.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019
2018
Augmenting Medical Decision Making With Text-Based Search of Teaching File Repositories and Medical Ontologies: Text-Based Search of Radiology Teaching Files.
Int. J. Knowl. Discov. Bioinform., 2018
Variations in algorithm implementation among quantitative texture analysis software packages.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
2017
An Integrated Database and Smart Search Tool for Medical Knowledge Extraction from Radiology Teaching Files.
Proceedings of the 1st ACM Workshop on Medical Informatics and Healthcare, 2017
2016
A computer-aided diagnosis system to detect pathologies in temporal subtraction images of chest radiographs.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016
Adaptive thresholding of chest temporal subtraction images in computer-aided diagnosis of pathologic change.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016
2015
Toward Understanding the Size Dependence of Shape Features for Predicting Spiculation in Lung Nodules for Computer-Aided Diagnosis.
J. Digit. Imaging, 2015
Comparison of Two Deformable Registration Algorithms in the Presence of Radiologic Change Between Serial Lung CT Scans.
J. Digit. Imaging, 2015
A computer-aided diagnosis system to identify regions of pathologic change in temporal subtraction images of the chest.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015
2013
Comparison of demons deformable registration-based methods for texture analysis of serial thoracic CT scans.
Proceedings of the Medical Imaging 2013: Computer-Aided Diagnosis, 2013
2012
Consensus Versus Disagreement in Imaging Research: a Case Study Using the LIDC Database.
J. Digit. Imaging, 2012
Investigating the dose dependence of median pixel value in CT lung images of patients undergoing stereotactic body radiation therapy.
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, 2012
2011
Temporal subtraction of 'virtual dual-energy' chest radiographs for improved conspicuity of growing cancers and other pathologic changes.
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011
Proceedings of the Image Analysis and Recognition - 8th International Conference, 2011
2010
Comparing and combining algorithms for computer-aided detection of pulmonary nodules in computed tomography scans: The ANODE09 study.
Medical Image Anal., 2010
A shape-dependent variability metric for evaluating panel segmentations with a case study on LIDC.
Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, 2010
Proceedings of the Medical Imaging 2010: Computer-Aided Diagnosis, 2010
2009
Semi-supervised learning approaches for predicting semantic characteristics of lung nodules.
Intell. Decis. Technol., 2009
Predicting Radiological Panel Opinions Using a Panel of Machine Learning Classifiers.
Algorithms, 2009
2007
Semantics and image content integration for pulmonary nodule interpretation in thoracic computed tomography.
Proceedings of the Medical Imaging 2007: Image Processing, 2007
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, 2007
The Lung Image Database Consortium (LIDC): pulmonary nodule measurements, the variation, and the difference between different size metrics.
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, 2007
The Lung Image Database Consortium (LIDC) data collection process for nodule detection and annotation.
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, 2007
The Lung Image Database Consortium (LIDC): a quality assurance model for the collection of expert-defined truth in lung-nodule-based image analysis studies.
Proceedings of the Medical Imaging 2007: Computer-Aided Diagnosis, 2007
2005
Vessel tree reconstruction in thoracic CT scans with application to nodule detection.
IEEE Trans. Medical Imaging, 2005
Proceedings of the Medical Imaging 2005: Image Processing, 2005
2004
Regulated morphology approach to fuzzy shape analysis with application to blood vessel extraction in thoracic CT scans.
Proceedings of the Medical Imaging 2004: Image Processing, 2004
2003
Effect of a small number of training cases on the performance of massive training artificial neural network (MTANN) for reduction of false positives in computerized detection of lung nodules in low-dose CT.
Proceedings of the Medical Imaging 2003: Image Processing, 2003
Computerized lung nodule detection: effect of image annotation schemes for conveying results to radiologists.
Proceedings of the Medical Imaging 2003: Image Processing, 2003
Automated lung segmentation and computer-aided diagnosis for thoracic CT scans.
Proceedings of the CARS 2003. Computer Assisted Radiology and Surgery. Proceedings of the 17th International Congress and Exhibition, 2003
2001
Development of a multiple-template matching technique for removal of false positives in a computer-aided diagnostic scheme.
Proceedings of the Medical Imaging 2001: Image Processing, 2001
Computerized lung nodule detection: comparison of performance for low-dose and standard-dose helical CT scans.
Proceedings of the Medical Imaging 2001: Image Processing, 2001
Current status and future direction of computer-aided diagnosis in chest CT.
Proceedings of the CARS 2001. Computer Assisted Radiology and Surgery. Proceedings of the 15th International Congress and Exhibition, 2001
2000
Proceedings of the Medical Imaging 2000: Image Processing, 2000
1999
Computerized analysis of abnormal asymmetry in digital chest radiographs: Evaluation of potential utility.
J. Digit. Imaging, 1999
Automatic detection of pulmonary nodules in low-dose screening thoracic CT examinations.
Proceedings of the Medical Imaging 1999: Image Processing, 1999
Proceedings of the Medical Imaging 1999: Image Processing, 1999
1998
Automated detection of pulmonary nodules in helical computed tomography images of the thorax.
Proceedings of the Medical Imaging 1998: Image Processing, 1998