S. Armato

S. Armato, P. Courtiol, N. Girard, 2020, Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer.

Imaging in pleural mesothelioma: A review of the 14th International Conference of the International Mesothelioma Interest Group.

Sharyn I. Katz, S. Armato, K. Blyth, 2019, Lung cancer.

Measuring Malignant Pleural Mesothelioma

S. Armato, A. Nowak, 2019, Mesothelioma.

Radiologic Considerations And Standardization Of Malignant Pleural Mesothelioma (MPM) Imaging Within Clinical Trials: Consensus Statement From The NCI Thoracic Malignancy Steering Committee - International Association For The Study Of Lung Cancer - Mesothelioma Applied Research Foundation Clinical T

S. Armato, E. Yorke, K. Rosenzweig, 2019, Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer.

Imaging in pleural mesothelioma: A review of the 13th International Conference of the International Mesothelioma Interest Group.

Sharyn I. Katz, S. Armato, S. Tsim, 2016, Lung cancer.

Treatment of Malignant Pleural Mesothelioma: American Society of Clinical Oncology Clinical Practice Guideline.

S. Armato, V. Rusch, Nofisat Ismaila, 2018, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

Multicenter, double-blind, placebo-controlled, randomized phase II trial of gemcitabine/cisplatin plus bevacizumab or placebo in patients with malignant mesothelioma.

S. Armato, P. Jänne, Helen X. Chen, 2012, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

The role of imaging in diagnosis and management of malignant peritoneal mesothelioma: a systematic review

S. Armato, C. Harmath, C. Straus, 2022, Abdominal Radiology.

Quality assurance and quantitative imaging biomarkers in low-dose CT lung cancer screening.

S. Armato, D. Yankelevitz, R. Avila, 2018, The British journal of radiology.

Discrete-space versus continuous-space lesion boundary and area definitions.

S. Armato, W. Sensakovic, R. Roberts, 2008, Medical physics.

Quality assurance and training procedures for computer-aided detection and diagnosis systems in clinical usea )

S. Armato, Zhimin Huob, Ronald M. Summersb, 2013 .

Computer-Aided Diagnosis in Medical Imaging

Nico Karssemeijer, Maryellen L. Giger, Samuel G. Armato, 2001, IEEE Trans. Medical Imaging.

Research imaging in an academic medical center.

Feng Li, Maryellen L Giger, Samuel G Armato, 2012, Academic radiology.

Three‐dimensional image analysis for staging chronic rhinosinusitis

S. Armato, F. Baroody, D. Ginat, 2017, International forum of allergy & rhinology.

Computer‐assisted staging of chronic rhinosinusitis correlates with symptoms

C. S. Poon, S. Armato, W. Sensakovic, 2015, International forum of allergy & rhinology.

Computerized Detection of Lung Nodules

Maryellen L. Giger, Kunio Doi, Heber MacMahon, 2002 .

Automated Lung Segmentation of Diseased and Artifact- Corrupted MR Sections

S. Armato, W. Sensakovic, A. Starkey, 2014 .

Quantitative Imaging to Assess Tumor Response to Therapy: Common Themes of Measurement, Truth Data & Error Sources | NIST

G. McLennan, S. Armato, Paul Kinahan, 2009 .

Normalization of MRI signal intensity in polycystic kidney disease and the effect on radiomic features

S. Armato, A. Chapman, Linnea E. Kremer, 2022, Medical Imaging.

Three-dimensional stereoscopic volume rendering of malignant pleural mesothelioma.

S. Armato, W. Sensakovic, R. Salgia, 2012, International surgery.

Lymphatic vessel density is not associated with lymph node metastasis in non-small cell lung carcinoma.

S. Armato, R. Salgia, R. Cheney, 2009, Archives of pathology & laboratory medicine.

Computerized delineation and analysis of costophrenic angles in digital chest radiographs.

M L Giger, S. Armato, M. Giger, 1998, Academic radiology.

Two-dimensional extrapolation methods for texture analysis on CT scans.

S. Armato, W. Sensakovic, A. Starkey, 2007, Medical physics.

Automated lung segmentation in digital lateral chest radiographs.

M L Giger, S. Armato, M. Giger, 1998, Medical physics.

SU-E-I-45: The Human Imaging Research Office (HIRO): Advancing the Role of Imaging in Clinical Research

S. Armato, M. Giger, H. MacMahon, 2011 .

Quantitative measurement of lung reexpansion in malignant pleural mesothelioma patients undergoing pleurectomy/decortication.

S. Armato, W. Sensakovic, A. Starkey, 2011, Academic Radiology.

Optimization of response classification criteria for patients with malignant pleural mesothelioma, a validation study.

S. Armato, P. Baas, W. Buikhuisen, 2019, Lung cancer.

CT Assessment of Response to Therapy: Tumor Volume Change Measurement, Truth Data & Error | NIST

Geoffrey McLennan, Marios A. Gavrielides, Nicholas Petrick, 2009 .

PET/CT Assessment of Response to Therapy: Tumor Change Measurement, Truth Data, and Error.

Geoffrey McLennan, Paul E Kinahan, Samuel G Armato, 2009, Translational oncology.

The radiologic measurement of mesothelioma.

Samuel G Armato, Geoffrey R Oxnard, S. Armato, 2005, Hematology/oncology clinics of North America.

Measurement of mesothelioma on thoracic CT scans: a comparison of manual and computer-assisted techniques.

Heber MacMahon, Samuel G Armato, Adam Starkey, 2004, Medical physics.

Lung texture in serial thoracic CT scans: correlation with radiologist-defined severity of acute changes following radiation therapy

Samuel G Armato, Hania A Al-Hallaq, Renuka Malik, 2014, Physics in medicine and biology.

Variability in mesothelioma tumor response classification.

Heber MacMahon, Samuel G Armato, Adam Starkey, 2006, AJR. American journal of roentgenology.

Variability of tumor area measurements for response assessment in malignant pleural mesothelioma.

Heber MacMahon, Samuel G Armato, Zacariah E Labby, 2013, Medical physics.

Point/counterpoint. "Hybrid gold" is the most appropriate open-access modality for journals like Medical Physics.

Clive Baldock, Colin G Orton, Samuel G Armato, 2015, Medical physics.

Medical physics becomes a hybrid gold open-access journal.

S. Armato, W. Hendee, 2013, Medical physics.

Characterization of mesothelioma and tissues present in contrast-enhanced thoracic CT scans.

Samuel G Armato, Adam Starkey, William F Sensakovic, 2011, Medical physics.

Computerized segmentation and measurement of malignant pleural mesothelioma.

Samuel G Armato, Adam Starkey, William F Sensakovic, 2010, Medical physics.

TU‐D‐L100J‐05: Assessment of Mesothelioma Tumor Response: Correlation of Tumor Thickness and Tumor Area

S. Armato, W. Sensakovic, R. Roberts, 2007 .

Initial experience with AAPM's new publisher.

Samuel G Armato, Jeffrey F Williamson, S. Armato, 2018, Medical physics.

CT-based pulmonary artery measurements for the assessment of pulmonary hypertension.

Samuel G Armato, Zacariah E Labby, Adam Starkey, 2014, Academic radiology.

Improved detection of focal pneumonia by chest radiography with bone suppression imaging

Heber MacMahon, Samuel G. Armato, Feng Li, 2012, European Radiology.

Automated registration of ventilation-perfusion images with digital chest radiographs.

M L Giger, C J Vyborny, C T Chen, 1997, Academic radiology.

Stemming , Synonym , Negation and Adjective Modules Teaching File Search Engine INPUT : No Cardiomegaly Integrated Teaching File Database No Cardiomegaly Normal Heart

S. Armato, A. Rasin, J. Furst, 2017 .

An Integrated Database and Smart Search Tool for Medical Knowledge Extraction from Radiology Teaching Files

Jacob D. Furst, Alexander Rasin, Priya Deshpande, 2017, MIH@KDD.

Frequency of incidental pathogenic and likely pathogenic germline variants detected via tumor-only mesothelioma genomic profiling

S. Armato, J. Donington, A. Husain, 2022, medRxiv.

Development of response criteria for mesothelioma based on a mathematical model

S. Armato, R. Salgia, H. Kindler, 2005 .

Imaging in pleural mesothelioma: a review of the 11th International Conference of the International Mesothelioma Interest Group.

S. Armato, R. Gill, T. Persigehl, 2013, Lung cancer.

Dynamic contrast-enhanced CT for the assessment of tumour response in malignant pleural mesothelioma: a pilot study

S. Armato, W. Sensakovic, A. Cunliffe, 2018, European Radiology.

Revised Modified Response Evaluation Criteria in Solid Tumors for Assessment of Response in Malignant Pleural Mesothelioma (Version 1.1)

Samuel G. Armato, Anna K. Nowak, S. Armato, 2018, Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer.

North American Multicenter Volumetric CT Study for Clinical Staging of Malignant Pleural Mesothelioma: Feasibility and Logistics of Setting Up a Quantitative Imaging Study

Samuel G. Armato, David P. Naidich, Alan Mitchell, 2016, Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer.

Disease volumes as a marker for patient response in malignant pleural mesothelioma.

S. Armato, J. Dignam, H. Kindler, 2013, Annals of oncology : official journal of the European Society for Medical Oncology.

Critical Challenges to the Management of Clinical Trial Imaging: Recommendations for the Conduct of Imaging at Investigational Sites.

S. Armato, Nicholas Gruszauskas, Nicholas P. Gruszauskas, 2020, Academic radiology.

QIBA guidance: Computed tomography imaging for COVID-19 quantitative imaging applications

Raúl San José Estépar, D. Lynch, E. Hoffman, 2021, Clinical Imaging.

Assessment of radiologist performance in the detection of lung nodules: dependence on the definition of "truth".

Geoffrey McLennan, Heber MacMahon, Baskaran Sundaram, 2009, Academic radiology.

Computer‐assisted Curie scoring for metaiodobenzylguanidine (MIBG) scans in patients with neuroblastoma

S. Armato, R. Engelmann, A. Starkey, 2018, Pediatric blood & cancer.

Automatic radionuclide lung scan registration: a comparison of four methods

SuChin Chen Coutre, R. Orlandic, S. G. Armato, 1999, 1999 IEEE Nuclear Science Symposium. Conference Record. 1999 Nuclear Science Symposium and Medical Imaging Conference (Cat. No.99CH37019).

Radiologic-pathologic correlation of mesothelioma tumor volume.

Ping Li, Samuel G Armato, Ashoke Khanwalkar, 2015, Lung cancer.

Evaluation of automated lung nodule detection on low-dose computed tomography scans from a lung cancer screening program(1).

Kunio Doi, Shusuke Sone, Feng Li, 2005, Academic radiology.

The influence of initial outlines on manual segmentation.

Christopher Straus, Samuel G Armato, Adam Starkey, 2010, Medical physics.

Evaluation of computer-aided detection and diagnosis systems.

Berkman Sahiner, Lubomir M. Hadjiiski, David Gur, 2013, Medical physics.

Ethics and professionalism in medical physics: a survey of AAPM members.

S. Armato, M. Giger, L. Ross, 2013, Medical physics.

Predicting Radiological Panel Opinions Using a Panel of Machine Learning Classifiers

Jacob D. Furst, Daniela Stan Raicu, Dmitry Zinovev, 2009, Algorithms.

Temporal subtraction of 'virtual dual-energy' chest radiographs for improved conspicuity of growing cancers and other pathologic changes

Kenji Suzuki, Heber MacMahon, Samuel G. Armato, 2011, Medical Imaging.

Effect of deformable registration on the dose calculated in radiation therapy planning CT scans of lung cancer patients.

Samuel G Armato, Hania A Al-Hallaq, Renuka Malik, 2014, Medical physics.

PROSTATEx Challenges for computerized classification of prostate lesions from multiparametric magnetic resonance images

Lubomir M. Hadjiiski, Karen Drukker, Kenny H. Cha, 2018, Journal of medical imaging.

Deep Learning Demonstrates Potential for Lung Cancer Detection in Chest Radiography.

S. Armato, 2020, Radiology.

Dual Energy Subtraction and Temporal Subtraction Chest Radiography

Heber MacMahon, Feng Li, Roger Engelmann, 2008, Journal of thoracic imaging.

Correlation of patient survival with clinical tumor measurements in malignant pleural mesothelioma

S. Armato, H. MacMahon, Feng Li, 2019, European Radiology.

Quantitative imaging to assess tumor response to therapy: common themes of measurement, truth data, and error sources.

Nicholas Petrick, Paul E Kinahan, Marios A Gavrielides, 2009, Translational oncology.

Computed tomography assessment of response to therapy: tumor volume change measurement, truth data, and error.

Geoffrey McLennan, Nicholas Petrick, Marios A Gavrielides, 2009, Translational oncology.

The Lung Image Database Consortium (LIDC): pulmonary nodule measurements, the variation, and the difference between different size metrics

Geoffrey McLennan, Eric A. Hoffman, Michael F. McNitt-Gray, 2007, SPIE Medical Imaging.

A Comparison of Different Size Metrics for Pulmonary Nodule Measurements 1

Geoffrey McLennan, Michael F. McNitt-Gray, Denise R. Aberle, 2007 .

Big Data Integration Case Study for Radiology Data Sources

Samuel G. Armato, Alexander Rasin, Priya Deshpande, 2018, 2018 IEEE Life Sciences Conference (LSC).

A Competition, Benchmark, Code, and Data for Using Artificial Intelligence to Detect Lesions in Digital Breast Tomosynthesis

Kenny H. Cha, Krzysztof J. Geras, Md Belayat Hossain, 2023, JAMA network open.

Autosegmentation for thoracic radiation treatment planning: A grand challenge at AAPM 2017

Paul Aljabar, Harini Veeraraghavan, Andre Dekker, 2018, Medical physics.

Biomedical image analysis challenges should be considered as an academic exercise, not an instrument that will move the field forward in a real, practical way.

Habib Zaidi, Keyvan Farahani, Samuel G Armato, 2020, Medical physics.

Comparing and combining algorithms for computer-aided detection of pulmonary nodules in computed tomography scans: The ANODE09 study

Ilaria Gori, Hiroshi Fujita, Bram van Ginneken, 2010, Medical Image Anal..

Interviewing for residency positions while completing a graduate degree: Considerations for graduate students, mentors, and program directors

S. Armato, H. Al-Hallaq, W. Newhauser, 2022, Journal of applied clinical medical physics.

WE‐B‐201B‐02: The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): A Completed Public Database of CT Scans for Lung Nodule Analysis

Geoffrey McLennan, Anthony P. Reeves, Barbara Y. Croft, 2010 .

Emphysema Detection in the Course of Lung Cancer Screening: Optimizing a Rare Opportunity to Impact Population Health

G. Washko, S. Armato, M. Oudkerk, 2022, Annals of the American Thoracic Society.

Imaging in pleural mesothelioma: A review of the 12th International Conference of the International Mesothelioma Interest Group.

S. Armato, R. Gill, A. Nowak, 2015, Lung cancer.

Computer-aided nodule detection system: results in an unselected series of consecutive chest radiographs.

Heber MacMahon, Feng Li, Samuel G Armato, 2015, Academic radiology.

A shape-dependent variability metric for evaluating panel segmentations with a case study on LIDC

Jacob D. Furst, Samuel G. Armato, Daniela Raicu, 2010, Medical Imaging.

Lung Volume Measurements as a Surrogate Marker for Patient Response in Malignant Pleural Mesothelioma

Samuel G Armato, Zacariah E Labby, James J Dignam, 2013, Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer.

Imaging in pleural mesothelioma: a review of imaging research presented at the 9th International Meeting of the International Mesothelioma Interest Group.

S. Armato, H. Yıldırım, G. Ceresoli, 2010, Lung cancer.

Variation in algorithm implementation across radiomics software

Hania Al-Hallaq, Maryellen L Giger, Samuel G Armato, 2018, Journal of medical imaging.

Modeling of mesothelioma growth demonstrates weaknesses of current response criteria.

Samuel G Armato, Geoffrey R Oxnard, Hedy L Kindler, 2006, Lung cancer.

Vessel tree reconstruction in thoracic CT scans with application to nodule detection

Gady Agam, Changhua Wu, Samuel G. Armato, 2005, IEEE Transactions on Medical Imaging.

Regulated morphology approach to fuzzy shape analysis with application to blood vessel extraction in thoracic CT scans

Samuel G. Armato, Gady Agam, Changhua Wu, 2004, SPIE Medical Imaging.

Optimization of Response Classification Criteria for Patients with Malignant Pleural Mesothelioma

S. Armato, J. Dignam, H. Kindler, 2012, Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer.

Radiologic Assessment of Mesothelioma

S. Armato, H. MacMahon, N. Vogelzang, 2005 .

Automated detection of lung nodules in CT scans: effect of image reconstruction algorithm.

Samuel G Armato, Michael B Altman, Patrick J La Rivière, 2003, Medical physics.

Observer Variability in Mesothelioma Tumor Thickness Measurements: Defining Minimally Measurable Lesions

Samuel G Armato, Masha Kocherginsky, S. Armato, 2014, Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer.

Automatic detection of pulmonary nodules in low-dose screening thoracic CT examinations

Kenneth R. Hoffmann, Samuel G. Armato, Dag Wormanns, 1999, Medical Imaging.

Anniversary Paper: Image processing and manipulation through the pages ofMedical Physics.

Bram van Ginneken, Samuel G Armato, S. Armato, 2008, Medical physics.

Evaluation of semiautomated measurements of mesothelioma tumor thickness on CT scans.

Heber MacMahon, Samuel G Armato, Masha Kocherginsky, 2005, Academic radiology.

Considerations for Imaging of Malignant Pleural Mesothelioma: A Consensus Statement from the International Mesothelioma Interest Group (iMig).

Sharyn I. Katz, S. Armato, K. Blyth, 2022, Journal of Thoracic Oncology.

Germline Variants Incidentally Detected via Tumor-Only Genomic Profiling of Patients With Mesothelioma

S. Armato, J. Donington, A. Husain, 2023, JAMA network open.

Consensus Versus Disagreement in Imaging Research: a Case Study Using the LIDC Database

Jacob D. Furst, Daniela Stan Raicu, Dmitry Zinovev, 2012, Journal of Digital Imaging.

Computer-Aided Diagnosis

S. Armato, G. Tourassi, 2020, Definitions.

Computer-Aided Diagnosis

S. Armato, N. Petrick, S. Wood, 2006 .

Evaluation of lung MDCT nodule annotation across radiologists and methods.

Richard C. Pais, Gary E Laderach, E. V. van Beek, 2006, Academic radiology.

Investigating the dose dependence of median pixel value in CT lung images of patients undergoing stereotactic body radiation therapy

Samuel G. Armato, Hania A. Al-Hallaq, Alexandra R. Cunliffe, 2012, Medical Imaging.

Deep convolutional neural networks for the automated segmentation of malignant pleural mesothelioma on computed tomography scans

Samuel G Armato, Eyjolfur Gudmundsson, Christopher M Straus, 2018, Journal of medical imaging.

AAPM task group report 273: Recommendations on best practices for AI and machine learning for computer-aided diagnosis in medical imaging.

Lubomir M. Hadjiiski, Ravi K. Samala, Kenny H. Cha, 2022, Medical Physics (Lancaster).

Clinical significance of noncalcified lung nodules in patients with breast cancer

S. Armato, M. Giger, H. MacMahon, 2016, Breast Cancer Research and Treatment.

The Reference Image Database to Evaluate Response to Therapy in Lung Cancer (RIDER) Project: A Resource for the Development of Change‐Analysis Software

L P Clarke, A P Reeves, G McLennan, 2008, Clinical pharmacology and therapeutics.

Quality assurance and training procedures for computer-aided detection and diagnosis systems in clinical use.

Hiroyuki Yoshida, Berkman Sahiner, Heang-Ping Chan, 2013, Medical physics.

Automated lung segmentation of diseased and artifact-corrupted magnetic resonance sections.

Samuel G Armato, Adam Starkey, William F Sensakovic, 2006, Medical physics.

Automated matching of temporally sequential CT sections.

Samuel G Armato, Adam Starkey, William F Sensakovic, 2004, Medical physics.

Deep learning-based segmentation of malignant pleural mesothelioma tumor on computed tomography scans: application to scans demonstrating pleural effusion

Feng Li, Samuel G Armato, Eyjolfur Gudmundsson, 2020, Journal of medical imaging.

Pre-trained deep convolutional neural networks for the segmentation of malignant pleural mesothelioma tumor on CT scans

Samuel G. Armato, Christopher M. Straus, Eyjolfur Gudmundsson, 2019, Medical Imaging.

CT-based pulmonary artery measurements for the assessment of pulmonary hypertension.

S. Armato, A. Starkey, M. Gomberg-Maitland, 2014, Academic radiology.

Anatomic Point–Based Lung Region with Zone Identification for Radiologist Annotation and Machine Learning for Chest Radiographs

S. Armato, M. Giger, H. MacMahon, 2021, Journal of Digital Imaging.

Lung texture in serial thoracic computed tomography scans: correlation of radiomics-based features with radiation therapy dose and radiation pneumonitis development.

S. Armato, R. Castillo, T. Guerrero, 2015, International journal of radiation oncology, biology, physics.

Dependence of radiomics features on CT image acquisition and reconstruction parameters using a cadaveric liver

Samuel G. Armato, Joseph J. Foy, William F. Sensakovic, 2020, Medical Imaging.

Effects of variability in radiomics software packages on classifying patients with radiation pneumonitis

Samuel G Armato, Joseph J Foy, Hania A Al-Hallaq, 2020, Journal of medical imaging.

Computerized analysis of abnormal asymmetry in digital chest radiographs: Evaluation of potential utility

Maryellen L. Giger, Heber MacMahon, Samuel G. Armato, 1999, Journal of Digital Imaging.

AI in medical imaging grand challenges: translation from competition to research benefit and patient care

S. Armato, Karen Drukker, Lubomir Hadjiiski, 2023, The British journal of radiology.

Magnetic Resonance Imaging of the Lung: Automated Segmentation Methods

Samuel G. Armato, William F. Sensakovic, S. Armato, 2008 .

The Lung Image Database Consortium (LIDC): an evaluation of radiologist variability in the identification of lung nodules on CT scans.

Richard C. Pais, Rachael Y. Roberts, E. V. van Beek, 2007, Academic radiology.

Ontology-Based Radiology Teaching File Summarization, Coverage, and Integration

Eli T. Brown, Priya Deshpande, Alexander Rasin, 2020, Journal of Digital Imaging.

Role of the Quantitative Imaging Biomarker Alliance in optimizing CT for the evaluation of lung cancer screen-detected nodules.

S. Armato, E. Kazerooni, M. McNitt-Gray, 2015, Journal of the American College of Radiology : JACR.

Computerized detection of pulmonary nodules on CT scans.

S. Armato, M. Giger, K. Doi, 1999, Radiographics : a review publication of the Radiological Society of North America, Inc.

Semantics and image content integration for pulmonary nodule interpretation in thoracic computed tomography

S. Armato, D. Raicu, D. Channin, 2007, SPIE Medical Imaging.

Magnetic resonance imaging preprocessing and radiomic features for classification of autosomal dominant polycystic kidney disease genotype

S. Armato, Linnea E. Kremer, Linnea E Kremer, 2023, Journal of medical imaging.

Radiomics-based assessment of idiopathic pulmonary fibrosis is associated with genetic mutations and patient survival

Samuel G. Armato, Jorie D. Budzikowski, Jonathan H. Chung, 2021, Journal of medical imaging.

Anniversary paper: image processing and manipulation through the pages of Medical Physics.

Bram van Ginneken, Samuel G Armato, S. Armato, 2008, Medical physics.

Digital chest radiography: effect of temporal subtraction images on detection accuracy.

K Doi, S. Armato, H. MacMahon, 1997, Radiology.

Validation of color-enhanced composite lung images

SuChin Chen Coutre, M.W. Evens, S.G. Armato, 2004, 2004 IEEE Electro/Information Technology Conference.

Performance evaluation of image registration

SuChin Chen Coutre, S. G. Armato, M. W. Evens, 2000, Proceedings of the 22nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (Cat. No.00CH37143).

The Lung Image Database Consortium (LIDC): ensuring the integrity of expert-defined "truth".

Heber MacMahon, Edwin J R van Beek, Samuel G Armato, 2007, Academic radiology.

Computer-Aided Diagnosis

S. Armato, G. Tourassi, 2020, Definitions.

Imaging in pleural mesothelioma: A review of the 13th International Conference of the International Mesothelioma Interest Group.

Sharyn I. Katz, S. Armato, S. Tsim, 2016, Lung cancer.

Imaging in pleural mesothelioma: a review of the 11th International Conference of the International Mesothelioma Interest Group.

S. Armato, R. Gill, T. Persigehl, 2013, Lung cancer.

Lung Volume Measurements as a Surrogate Marker for Patient Response in Malignant Pleural Mesothelioma

S. Armato, J. Dignam, H. Kindler, 2013, Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer.

Imaging in pleural Mesothelioma: A review of the 16th International Conference of the International Mesothelioma Interest Group.

Sharyn I. Katz, S. Armato, G. Jayasekera, 2024, Lung cancer.

A computer-aided diagnosis system to detect pathologies in temporal subtraction images of chest radiographs

Samuel G. Armato, Melanie Harrison, Jared Looper, 2016, SPIE Medical Imaging.

Three‐dimensional image analysis for staging chronic rhinosinusitis

S. Armato, F. Baroody, D. Ginat, 2017, International forum of allergy & rhinology.

Automated segmentation of mucosal change in rhinosinusitis patients

Samuel G. Armato, Adam Starkey, William F. Sensakovic, 2010, Medical Imaging.

Radiomics-based classification of autosomal dominant polycystic kidney disease (ADPKD) Mayo imaging classification (MIC) and the effect of gray-level discretization

S. Armato, A. Chapman, Linnea E. Kremer, 2023, Medical Imaging.

Computational Medicine in Radiology: Medical Images as Big Data

S. Armato, 2023, 2023 IEEE John Vincent Atanasoff International Symposium on Modern Computing (JVA).

Effect of an iterative reconstruction quantum noise reduction technique on computed tomography radiomic features

Daniel Thomas Ginat, Joseph J. Foy, Mena Shenouda, 2020, Journal of medical imaging.