Automated detection of pulmonary nodules in helical computed tomography images of the thorax. - Samuel G. Armato; Maryellen Lissak Giger; Catherine J. Moran; Heber MacMahon; Kunio Doi (Image Processing, 1998)

Three-dimensional approach to lung nodule detection in helical CT. - Samuel G. Armato; Maryellen Lissak Giger; James T. Blackburn; Kunio Doi; Heber MacMahon (Image Processing, 1999)

Automatic detection of pulmonary nodules in low-dose screening thoracic CT examinations. - Martin Fiebich; Christian Wietholt; Bernhard C. Renger; Samuel G. Armato; Kenneth R. Hoffmann; Dag Wormanns; Stefan Diederich (Image Processing, 1999)

Computerized analysis of abnormal asymmetry in digital chest radiographs: Evaluation of potential utility. - Samuel G. Armato III; Maryellen L. Giger; Heber MacMahon (J. Digit. Imaging, 1999)

Analysis of a three-dimensional lung nodule detection method for thoracic CT scans. - Samuel G. Armato; Maryellen Lissak Giger; Heber MacMahon (Image Processing, 2000)

Current status and future direction of computer-aided diagnosis in chest CT. - Maryellen L. Giger; Samuel G. Armato III (CARS, 2001)

Computerized lung nodule detection: comparison of performance for low-dose and standard-dose helical CT scans. - Samuel G. Armato; Maryellen Lissak Giger; Kunio Doi; Ulrich Bick; Heber MacMahon (Image Processing, 2001)

Development of a multiple-template matching technique for removal of false positives in a computer-aided diagnostic scheme. - Qiang Li 018; Shigehiko Katsuragawa; Roger M. Engelmann; Samuel G. Armato; Heber MacMahon; Kunio Doi (Image Processing, 2001)

Computer-Aided Diagnosis in Medical Imaging. - Maryellen L. Giger; Nico Karssemeijer; Samuel G. Armato III (IEEE Trans. Medical Imaging, 2001)

Automated lung segmentation and computer-aided diagnosis for thoracic CT scans. - Samuel G. Armato III; Heber MacMahon (CARS, 2003)

Computerized lung nodule detection: effect of image annotation schemes for conveying results to radiologists. - Samuel G. Armato (Image Processing, 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. - Kenji Suzuki 001; Samuel G. Armato; Feng Li 018; Shusuke Sone; Kunio Doi (Image Processing, 2003)

Regulated morphology approach to fuzzy shape analysis with application to blood vessel extraction in thoracic CT scans. - Changhua Wu; Gady Agam; Arunabha Shasanka Roy; Samuel G. Armato (Image Processing, 2004)

Automated lung segmentation in magnetic resonance images. - William F. Sensakovic; Samuel G. Armato; Adam Starkey (Image Processing, 2005)

Vessel tree reconstruction in thoracic CT scans with application to nodule detection. - Gady Agam; Samuel G. Armato III; Changhua Wu (IEEE Trans. Medical Imaging, 2005)

The Lung Image Database Consortium (LIDC): a quality assurance model for the collection of expert-defined truth in lung-nodule-based image analysis studies. - Samuel 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; et al. (Computer-Aided Diagnosis, 2007)

The Lung Image Database Consortium (LIDC) data collection process for nodule detection and annotation. - Michael F. McNitt-Gray; Samuel G. Armato; Charles R. Meyer; Anthony P. Reeves; Geoffrey McLennan; Richard C. Pais; J. Freymann; Matthew S. Brown; Roger M. Engelmann; Peyton H. Bland; G. E. Laderach; C. Piker; et al. (Computer-Aided Diagnosis, 2007)

The Lung Image Database Consortium (LIDC): pulmonary nodule measurements, the variation, and the difference between different size metrics. - Anthony 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; et al. (Computer-Aided Diagnosis, 2007)

Extrapolation techniques for textural characterization of tissue in medical images. - William F. Sensakovic; Samuel G. Armato; Adam Starkey (Computer-Aided Diagnosis, 2007)

Semantics and image content integration for pulmonary nodule interpretation in thoracic computed tomography. - Daniela Stan Raicu; Ekarin Varutbangkul; Janie G. Cisneros; Jacob Furst 001; David S. Channin; Samuel G. Armato (Image Processing, 2007)

Predicting Radiological Panel Opinions Using a Panel of Machine Learning Classifiers. - Dmitry Zinovev; Daniela Stan Raicu; Jacob Furst 001; Samuel G. Armato III (Algorithms, 2009)

Semi-supervised learning approaches for predicting semantic characteristics of lung nodules. - Dmitry Zinovev; Ekarin Varutbangkul; Daniela Stan Raicu; Jacob D. Furst; Samuel G. Armato III (Intell. Decis. Technol., 2009)

Automated segmentation of mucosal change in rhinosinusitis patients. - William F. Sensakovic; Jayant M. Pinto; Faud M. Baroody; Adam Starkey; Samuel G. Armato (Computer-Aided Diagnosis, 2010)

A shape-dependent variability metric for evaluating panel segmentations with a case study on LIDC. - Stephen A. Siena; Olga Zinoveva; Daniela Raicu; Jacob Furst 001; Samuel G. Armato (Computer-Aided Diagnosis, 2010)

Comparing and combining algorithms for computer-aided detection of pulmonary nodules in computed tomography scans: The ANODE09 study. - Bram van Ginneken; Samuel G. Armato III; Bartjan de Hoop; Saskia van Amelsvoort-van de Vorst; Thomas Duindam; Meindert Niemeijer; Keelin Murphy; Arnold M. R. Schilham; Alessandra Retico; Maria Evelina Fantacci; Niccolò Camarlinghi; Francesco Bagagli; et al. (Medical Image Anal., 2010)

A Texture-Based Probabilistic Approach for Lung Nodule Segmentation. - Olga Zinoveva; Dmitry Zinovev; Stephen A. Siena; Daniela Stan Raicu; Jacob Furst 001; Samuel G. Armato III (ICIAR (2), 2011)

Temporal subtraction of 'virtual dual-energy' chest radiographs for improved conspicuity of growing cancers and other pathologic changes. - Kenji Suzuki 001; Samuel G. Armato III; Roger Engelmann; Philip Caligiuri; Heber MacMahon (Computer-Aided Diagnosis, 2011)

Investigating the dose dependence of median pixel value in CT lung images of patients undergoing stereotactic body radiation therapy. - Brianna Knoll; Alexandra R. Cunliffe; Hania A. Al-Hallaq; Renuka Malik; Samuel G. Armato (Computer-Aided Diagnosis, 2012)

Consensus Versus Disagreement in Imaging Research: a Case Study Using the LIDC Database. - Dmitry Zinovev; Yujie Duo; Daniela Stan Raicu; Jacob Furst 001; Samuel G. Armato III (J. Digit. Imaging, 2012)

Comparison of demons deformable registration-based methods for texture analysis of serial thoracic CT scans. - Alexandra R. Cunliffe; Hania A. Al-Hallaq; Xianhan M. Fei; Rachel E. Tuohy; Samuel G. Armato III (Computer-Aided Diagnosis, 2013)

A computer-aided diagnosis system to identify regions of pathologic change in temporal subtraction images of the chest. - Charles Ho; Katherine Lee; Samuel G. Armato (Computer-Aided Diagnosis, 2015)

Comparison of Two Deformable Registration Algorithms in the Presence of Radiologic Change Between Serial Lung CT Scans. - Alexandra R. Cunliffe; Bradley White; Julia Justusson; Christopher Straus; Renuka Malik; Hania A. Al-Hallaq; Samuel G. Armato III (J. Digit. Imaging, 2015)

Toward Understanding the Size Dependence of Shape Features for Predicting Spiculation in Lung Nodules for Computer-Aided Diagnosis. - Ronald Niehaus; Daniela Stan Raicu; Jacob Furst 001; Samuel G. Armato III (J. Digit. Imaging, 2015)

Adaptive thresholding of chest temporal subtraction images in computer-aided diagnosis of pathologic change. - Melanie Harrison; Jared Looper; Samuel G. Armato III (Computer-Aided Diagnosis, 2016)

A computer-aided diagnosis system to detect pathologies in temporal subtraction images of chest radiographs. - Jared Looper; Melanie Harrison; Samuel G. Armato III (Computer-Aided Diagnosis, 2016)

An Integrated Database and Smart Search Tool for Medical Knowledge Extraction from Radiology Teaching Files. - Priya Deshpande; Alexander Rasin; Eli T. Brown; Jacob Furst 001; Daniela Raicu; Steven M. Montner; Samuel G. Armato III (MIH@KDD, 2017)

Variations in algorithm implementation among quantitative texture analysis software packages. - Joseph J. Foy; Prerana Mitta; Lauren R. Nowosatka; Kayla R. Mendel; Hui Li 024; Maryellen L. Giger; Hania A. Al-Hallaq; Samuel G. Armato III (Computer-Aided Diagnosis, 2018)

Augmenting Medical Decision Making With Text-Based Search of Teaching File Repositories and Medical Ontologies: Text-Based Search of Radiology Teaching Files. - Priya Deshpande; Alexander Rasin; Eli T. Brown; Jacob Furst 001; Steven M. Montner; Samuel G. Armato III; Daniela Stan Raicu (Int. J. Knowl. Discov. Bioinform., 2018)

Variability in radiomics features among iDose reconstruction levels. - Joseph J. Foy; Mena Shenouda; Sahar Ramahi; Samuel G. Armato; Daniel T. Ginat (Computer-Aided Diagnosis, 2019)

Pre-trained deep convolutional neural networks for the segmentation of malignant pleural mesothelioma tumor on CT scans. - Eyjolfur Gudmundsson; Christopher M. Straus; Samuel G. Armato (Computer-Aided Diagnosis, 2019)

Radiomics-based texture analysis of idiopathic pulmonary fibrosis for genetic and survival predictions. - Jorie D. Budzikowski; Ahmed A. Rashid; Joseph J. Foy; Jonathan H. Chung; Imre Noth; Samuel G. Armato III (Computer-Aided Diagnosis, 2020)

Dependence of radiomics features on CT image acquisition and reconstruction parameters using a cadaveric liver. - Joseph J. Foy; Inna H. Gertsenshteyn; Hania A. Al-Hallaq; Samuel G. Armato III; William F. Sensakovic (Computer-Aided Diagnosis, 2020)

Ontology-Based Radiology Teaching File Summarization, Coverage, and Integration. - Priya Deshpande; Alexander Rasin; Jun Son; Sungmin Kim; Eli T. Brown; Jacob Furst 001; Daniela Stan Raicu; Steven M. Montner; Samuel G. Armato (J. Digit. Imaging, 2020)

Anatomic Point-Based Lung Region with Zone Identification for Radiologist Annotation and Machine Learning for Chest Radiographs. - Feng Li 018; Samuel G. Armato; Roger Engelmann; Thomas Rhines; Jennie Crosby; Li Lan; Maryellen L. Giger; Heber MacMahon (J. Digit. Imaging, 2021)

Normalization of MRI signal intensity in polycystic kidney disease and the effect on radiomic features. - Linnea Kremer; Natalie Perri; Eliza Sorber; Arlene Chapman; Samuel G. Armato III (Computer-Aided Diagnosis, 2022)

Computational Medicine in Radiology: Medical Images as Big Data. - Samuel G. Armato III (JVA, 2023)

Radiomics-based classification of autosomal dominant polycystic kidney disease (ADPKD) Mayo imaging classification (MIC) and the effect of gray-level discretization. - Linnea Kremer; Boris Fosso; Lucy Groothuis; Arlene Chapman; Samuel G. Armato III (Computer-Aided Diagnosis, 2023)

Assessing robustness of a deep-learning model for COVID-19 classification on chest radiographs. - Mena Shenouda; Aditi Kaveti; Isabella Flerlage; Jayashree Kalpathy-Cramer; Maryellen L. Giger; Samuel G. Armato III (Computer-Aided Diagnosis, 2023)

Convolutional Neural Networks for Segmentation of Malignant Pleural Mesothelioma: Analysis of Probability Map Thresholds (CALGB 30901, Alliance). - Mena Shenouda; Eyjólfur Gudmundsson; Feng Li 018; Christopher M. Straus; Hedy L. Kindler; Arkadiusz Z. Dudek; Thomas Stinchcombe; Xiaofei Wang; Adam Starkey; Samuel G. Armato III (CoRR, 2023)

CLEAR: A Clinically-Grounded Tabular Framework for Radiology Report Evaluation. - Yuyang Jiang; Chacha Chen; Shengyuan Wang; Feng Liu 011; Zecong Tang; Benjamin M. Mervak; Lydia Chelala; Christopher M. Straus; Reve Chahine; Samuel G. Armato III; Chenhao Tan (CoRR, 2025)