Samuel G Armato

发表

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.

LUNGx Challenge for computerized lung nodule classification

Karen Drukker, Lubomir Hadjiiski, Keyvan Farahani, 2016, Journal of medical imaging.

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.

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

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

The influence of initial outlines on manual segmentation.

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

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.

Initial experience with AAPM's new publisher.

Samuel G Armato, Jeffrey F Williamson, S. Armato, 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.

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.

Variation in algorithm implementation across radiomics software

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

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.

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.

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.

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

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

Lung texture in serial thoracic CT scans: assessment of change introduced by image registration.

Samuel G Armato, Zacariah E Labby, Charles A Pelizzari, 2012, Medical physics.

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.

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.

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

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

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

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

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.

Temporal subtraction chest radiography.

Heber MacMahon, Samuel G Armato, 2009, European journal of radiology.

Modeling of mesothelioma growth demonstrates weaknesses of current response criteria.

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

Radiologic-pathologic correlation of mesothelioma tumor volume.

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

Automated matching of temporally sequential CT sections.

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

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.

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

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

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): an evaluation of radiologist variability in the identification of lung nodules on CT scans.

Geoffrey McLennan, Heber MacMahon, Edwin J R van Beek, 2007, Academic radiology.

Computerized segmentation and measurement of malignant pleural mesothelioma.

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

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.

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.

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

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

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.

Research imaging in an academic medical center.

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

Automated detection of lung nodules in CT scans: false-positive reduction with the radial-gradient index.

Karen Drukker, Samuel G Armato, Arunabha S. Roy, 2006, 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.

Image annotation for conveying automated lung nodule detection results to radiologists.

Samuel G Armato, 2003, Academic radiology.

LUNGx Challenge for computerized lung nodule classification: reflections and lessons learned.

Karen Drukker, Lubomir Hadjiiski, Keyvan Farahani, 2015, Journal of medical imaging.

Variability in mesothelioma tumor response classification.

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