Samuel G. Armato - researchr alias

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Viewing Publication 1 - 23 from 23

2021

Anatomic Point-Based Lung Region with Zone Identification for Radiologist Annotation and Machine Learning for Chest RadiographsFeng Li 0018, Samuel G. Armato, Roger Engelmann, Thomas Rhines, Jennie Crosby, Li Lan, Maryellen L. Giger, Heber MacMahon. jdi, 34(4):922-931, 2021. [doi]

2020

Ontology-Based Radiology Teaching File Summarization, Coverage, and IntegrationPriya Deshpande, Alexander Rasin, Jun Son, Sungmin Kim, Eli T. Brown, Jacob D. Furst, Daniela Stan Raicu, Steven M. Montner, Samuel G. Armato. jdi, 33(3):797-813, 2020. [doi]

2019

Variability in radiomics features among iDose reconstruction levelsJoseph J. Foy, Mena Shenouda, Sahar Ramahi, Samuel G. Armato, Daniel Ginat. micad 2019: [doi]

Pre-trained deep convolutional neural networks for the segmentation of malignant pleural mesothelioma tumor on CT scansEyjolfur Gudmundsson, Christopher M. Straus, Samuel G. Armato. micad 2019: [doi]

2015

A computer-aided diagnosis system to identify regions of pathologic change in temporal subtraction images of the chestCharles Ho, Katherine Lee, Samuel G. Armato. micad 2015: [doi]

2012

Investigating the dose dependence of median pixel value in CT lung images of patients undergoing stereotactic body radiation therapyBrianna Knoll, Alexandra R. Cunliffe, Hania A. Al-Hallaq, Renuka Malik, Samuel G. Armato. micad 2012: [doi]

2010

Automated segmentation of mucosal change in rhinosinusitis patientsWilliam F. Sensakovic, Jayant M. Pinto, Faud M. Baroody, Adam Starkey, Samuel G. Armato. micad 2010: [doi]

A shape-dependent variability metric for evaluating panel segmentations with a case study on LIDCStephen A. Siena, Olga Zinoveva, Daniela Raicu, Jacob D. Furst, Samuel G. Armato. micad 2010: 762416 [doi]

2007

The Lung Image Database Consortium (LIDC): a quality assurance model for the collection of expert-defined truth in lung-nodule-based image analysis studiesSamuel G. Armato, Rachael Y. Roberts, Geoffrey McLennan, Michael F. McNitt-Gray, David F. Yankelevitz, Ella A. Kazerooni, Edwin J. R. van Beek, Heber MacMahon, Denise R. Aberle, Charles R. Meyer, Anthony P. Reeves, Claudia I. Henschke, Eric A. Hoffman, Barbara Y. Croft, Laurence P. Clarke. micad 2007: 651429 [doi]

Semantics and image content integration for pulmonary nodule interpretation in thoracic computed tomographyDaniela Stan Raicu, Ekarin Varutbangkul, Janie G. Cisneros, Jacob D. Furst, David S. Channin, Samuel G. Armato. miip 2007: [doi]

The Lung Image Database Consortium (LIDC): pulmonary nodule measurements, the variation, and the difference between different size metricsAnthony P. Reeves, Alberto M. Biancardi, Tatiyana V. Apanasovich, Charles R. Meyer, Heber MacMahon, Edwin J. R. van Beek, Ella A. Kazerooni, David F. Yankelevitz, Michael F. McNitt-Gray, Geoffrey McLennan, Samuel G. Armato, Denise R. Aberle, Claudia I. Henschke, Eric A. Hoffman, Barbara Y. Croft, Laurence P. Clarke. micad 2007: [doi]

Extrapolation techniques for textural characterization of tissue in medical imagesWilliam F. Sensakovic, Samuel G. Armato, Adam Starkey. micad 2007: [doi]

2005

Automated lung segmentation in magnetic resonance imagesWilliam F. Sensakovic, Samuel G. Armato, Adam Starkey. miip 2005: [doi]

2004

Regulated morphology approach to fuzzy shape analysis with application to blood vessel extraction in thoracic CT scansChanghua Wu, Gady Agam, Arunabha Shasanka Roy, Samuel G. Armato. miip 2004: [doi]

2003

Computerized lung nodule detection: effect of image annotation schemes for conveying results to radiologistsSamuel G. Armato. miip 2003: [doi]

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 CTKenji Suzuki, Samuel G. Armato, Feng Li, Shusuke Sone, Kunio Doi. miip 2003: [doi]

2001

Computerized lung nodule detection: comparison of performance for low-dose and standard-dose helical CT scansSamuel G. Armato, Maryellen Lissak Giger, Kunio Doi, Ulrich Bick, Heber MacMahon. miip 2001: [doi]

Development of a multiple-template matching technique for removal of false positives in a computer-aided diagnostic schemeQiang Li, Shigehiko Katsuragawa, Roger M. Engelmann, Samuel G. Armato, Heber MacMahon, Kunio Doi. miip 2001: [doi]

2000

Analysis of a three-dimensional lung nodule detection method for thoracic CT scansSamuel G. Armato, Maryellen Lissak Giger, Heber MacMahon. miip 2000: [doi]

1999

Three-dimensional approach to lung nodule detection in helical CTSamuel G. Armato, Maryellen Lissak Giger, James T. Blackburn, Kunio Doi, Heber MacMahon. miip 1999: [doi]

Automatic detection of pulmonary nodules in low-dose screening thoracic CT examinationsMartin Fiebich, Christian Wietholt, Bernhard C. Renger, Samuel G. Armato, Kenneth R. Hoffmann, Dag Wormanns, Stefan Diederich. miip 1999: [doi]

1998

Automated detection of pulmonary nodules in helical computed tomography images of the thoraxSamuel G. Armato, Maryellen Lissak Giger, Catherine J. Moran, Heber MacMahon, Kunio Doi. miip 1998: [doi]

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1998

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