Samuel G. Armato - Citegraph

Author Info

Name	Affiliation	Papers
SAMUEL G. ARMATO	Comprehensive Cancer Center, The University of Chicago, Chicago, IL	30
Collaborators	Citations	PageRank
115	167	20.58
Referers	Referees	References
781	304	72

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100781

Publications (30 rows)

Collaborators (100 rows)

Referers (100 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
Ontology-Based Radiology Teaching File Summarization, Coverage, and Integration.	2	0.45	2020
Pre-trained deep convolutional neural networks for the segmentation of malignant pleural mesothelioma tumor on CT scans.	0	0.34	2019
Variability in radiomics features among iDose reconstruction levels.	0	0.34	2019
Augmenting Medical Decision Making With Text-Based Search of Teaching File Repositories and Medical Ontologies: Text-Based Search of Radiology Teaching Files	0	0.34	2018
An Integrated Database and Smart Search Tool for Medical Knowledge Extraction from Radiology Teaching Files.	1	0.39	2017
Adaptive thresholding of chest temporal subtraction images in computer-aided diagnosis of pathologic change.	0	0.34	2016
A computer-aided diagnosis system to detect pathologies in temporal subtraction images of chest radiographs.	0	0.34	2016
A computer-aided diagnosis system to identify regions of pathologic change in temporal subtraction images of the chest	0	0.34	2015
Comparison of demons deformable registration-based methods for texture analysis of serial thoracic CT scans	0	0.34	2013
Investigating the dose dependence of median pixel value in CT lung images of patients undergoing stereotactic body radiation therapy	0	0.34	2012
A texture-based probabilistic approach for lung nodule segmentation	3	0.42	2011
Temporal subtraction of 'virtual dual-energy' chest radiographs for improved conspicuity of growing cancers and other pathologic changes	1	0.35	2011
A shape-dependent variability metric for evaluating panel segmentations with a case study on LIDC	3	0.44	2010
Comparing and combining algorithms for computer-aided detection of pulmonary nodules in computed tomography scans: The ANODE09 study	70	3.85	2010
Automated segmentation of mucosal change in rhinosinusitis patients	0	0.34	2010
Semi-supervised learning approaches for predicting semantic characteristics of lung nodules	1	0.39	2009
The Lung Image Database Consortium (LIDC): A Quality Assurance Model for the Collection of Expert-Defined "Truth" in Lung-Nodule-Based Image Analysis Studies	0	0.34	2007
The Lung Image Database Consortium (LIDC) Data Collection Process for Nodule Detection and Annotation	53	3.02	2007
Extrapolation techniques for textural characterization of tissue in medical images	0	0.34	2007
The Lung Image Database Consortium (LIDC): Pulmonary nodule measurements, the variation and the difference between different size metrics	2	0.41	2007
Automated lung segmentation in magnetic resonance images	0	0.34	2005
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	6	0.62	2003
Computerized lung nodule detection: effect of image annotation schemes for conveying results to radiologists	1	0.40	2003
Computerized lung nodule detection: comparison of performance for low-dose and standard-dose helical CT scans	4	0.55	2001
Development of a multiple-template matching technique for removal of false positives in a computer-aided diagnostic scheme	1	0.43	2001
Analysis of a three-dimensional lung nodule detection method for thoracic CT scans	3	0.42	2000
Three-dimensional approach to lung nodule detection in helical CT	5	0.96	1999
Computerized analysis of abnormal asymmetry in digital chest radiographs: Evaluation of potential utility.	0	0.34	1999
Automatic detection of pulmonary nodules in low-dose screening thoracic CT examinations	8	2.27	1999
Automated detection of pulmonary nodules in helical computed tomography images of the thorax	3	0.81	1998