Samuel G. Armato III

31 papers Journal 13Unranked 16

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	CLEAR: A Clinically Grounded Tabular Framework for Radiology Report Evaluation. EMNLP (Findings) Yuyang Jiang, Chacha Chen, Shengyuan Wang, Feng Liu, Zecong Tang, Benjamin M. Mervak, Lydia Chelala, Christopher M. Straus, Reve Chahine, Samuel G. Armato III, Chenhao Tan
2025	J	`jnl`	CLEAR: A Clinically-Grounded Tabular Framework for Radiology Report Evaluation. CoRR Yuyang Jiang, Chacha Chen, Shengyuan Wang, Feng Liu, Zecong Tang, Benjamin M. Mervak, Lydia Chelala, Christopher M. Straus, Reve Chahine, Samuel G. Armato III, Chenhao Tan
2025	J	`jnl`	Convolutional Neural Networks for Segmentation of Pleural Mesothelioma: Analysis of Probability Map Thresholds (CALGB 30901, Alliance). J. Imaging Inform. Medicine Mena Shenouda, Eyjólfur Gudmundsson, Feng Li, Christopher M. Straus, Hedy L. Kindler, Arkadiusz Z. Dudek, Thomas Stinchcombe, Xiaofei Wang, Adam Starkey, Samuel G. Armato III
2023	—	`conf`	Assessing robustness of a deep-learning model for COVID-19 classification on chest radiographs. Computer-Aided Diagnosis Mena Shenouda, Aditi Kaveti, Isabella Flerlage, Jayashree Kalpathy-Cramer, Maryellen L. Giger, Samuel G. Armato III
2023	—	`conf`	Computational Medicine in Radiology: Medical Images as Big Data. JVA Samuel G. Armato III
2023	J	`jnl`	Convolutional Neural Networks for Segmentation of Malignant Pleural Mesothelioma: Analysis of Probability Map Thresholds (CALGB 30901, Alliance). CoRR Mena Shenouda, Eyjólfur Gudmundsson, Feng Li, Christopher M. Straus, Hedy L. Kindler, Arkadiusz Z. Dudek, Thomas Stinchcombe, Xiaofei Wang, Adam Starkey, Samuel G. Armato III
2023	—	`conf`	Radiomics-based classification of autosomal dominant polycystic kidney disease (ADPKD) Mayo imaging classification (MIC) and the effect of gray-level discretization. Computer-Aided Diagnosis Linnea Kremer, Boris Fosso, Lucy Groothuis, Arlene Chapman, Samuel G. Armato III
2022	—	`conf`	Normalization of MRI signal intensity in polycystic kidney disease and the effect on radiomic features. Computer-Aided Diagnosis Linnea Kremer, Natalie Perri, Eliza Sorber, Arlene Chapman, Samuel G. Armato III
2020	—	`conf`	Dependence of radiomics features on CT image acquisition and reconstruction parameters using a cadaveric liver. Computer-Aided Diagnosis Joseph J. Foy, Inna H. Gertsenshteyn, Hania A. Al-Hallaq, Samuel G. Armato III, William F. Sensakovic
2020	—	`conf`	Radiomics-based texture analysis of idiopathic pulmonary fibrosis for genetic and survival predictions. Computer-Aided Diagnosis Jorie D. Budzikowski, Ahmed A. Rashid, Joseph J. Foy, Jonathan H. Chung, Imre Noth, Samuel G. Armato III
2018	J	`jnl`	Augmenting Medical Decision Making With Text-Based Search of Teaching File Repositories and Medical Ontologies: Text-Based Search of Radiology Teaching Files. Int. J. Knowl. Discov. Bioinform. Priya Deshpande, Alexander Rasin, Eli T. Brown, Jacob Furst, Steven M. Montner, Samuel G. Armato III, Daniela Stan Raicu
2018	—	`conf`	Variations in algorithm implementation among quantitative texture analysis software packages. Computer-Aided Diagnosis Joseph J. Foy, Prerana Mitta, Lauren R. Nowosatka, Kayla R. Mendel, Hui Li, Maryellen L. Giger, Hania A. Al-Hallaq, Samuel G. Armato III
2017	—	`conf`	An Integrated Database and Smart Search Tool for Medical Knowledge Extraction from Radiology Teaching Files. MIH@KDD Priya Deshpande, Alexander Rasin, Eli T. Brown, Jacob Furst, Daniela Raicu, Steven M. Montner, Samuel G. Armato III
2017	—	`ed.`	Medical Imaging 2017: Computer-Aided Diagnosis, Orlando, Florida, United States, 11-16 February 2017 Computer-Aided Diagnosis Samuel G. Armato III, Nicholas A. Petrick
2016	—	`conf`	A computer-aided diagnosis system to detect pathologies in temporal subtraction images of chest radiographs. Computer-Aided Diagnosis Jared Looper, Melanie Harrison, Samuel G. Armato III
2016	—	`conf`	Adaptive thresholding of chest temporal subtraction images in computer-aided diagnosis of pathologic change. Computer-Aided Diagnosis Melanie Harrison, Jared Looper, Samuel G. Armato III
2016	—	`ed.`	Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February - 3 March 2016 Computer-Aided Diagnosis Georgia D. Tourassi, Samuel G. Armato III
2015	J	`jnl`	Comparison of Two Deformable Registration Algorithms in the Presence of Radiologic Change Between Serial Lung CT Scans. J. Digit. Imaging Alexandra R. Cunliffe, Bradley White, Julia Justusson, Christopher Straus, Renuka Malik, Hania A. Al-Hallaq, Samuel G. Armato III
2015	J	`jnl`	Toward Understanding the Size Dependence of Shape Features for Predicting Spiculation in Lung Nodules for Computer-Aided Diagnosis. J. Digit. Imaging Ronald Niehaus, Daniela Stan Raicu, Jacob Furst, Samuel G. Armato III
2013	—	`conf`	Comparison of demons deformable registration-based methods for texture analysis of serial thoracic CT scans. Computer-Aided Diagnosis Alexandra R. Cunliffe, Hania A. Al-Hallaq, Xianhan M. Fei, Rachel E. Tuohy, Samuel G. Armato III
2012	J	`jnl`	Consensus Versus Disagreement in Imaging Research: a Case Study Using the LIDC Database. J. Digit. Imaging Dmitry Zinovev, Yujie Duo, Daniela Stan Raicu, Jacob Furst, Samuel G. Armato III
2011	—	`conf`	A Texture-Based Probabilistic Approach for Lung Nodule Segmentation. ICIAR (2) Olga Zinoveva, Dmitry Zinovev, Stephen A. Siena, Daniela Stan Raicu, Jacob Furst, Samuel G. Armato III
2011	—	`conf`	Temporal subtraction of 'virtual dual-energy' chest radiographs for improved conspicuity of growing cancers and other pathologic changes. Computer-Aided Diagnosis Kenji Suzuki, Samuel G. Armato III, Roger Engelmann, Philip Caligiuri, Heber MacMahon
2010	J	`jnl`	Comparing and combining algorithms for computer-aided detection of pulmonary nodules in computed tomography scans: The ANODE09 study. Medical Image Anal. 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, Ilaria Gori, Takeshi Hara, Hiroshi Fujita, Gianfranco Gargano, Roberto Bellotti, Sabina Sonia Tangaro, Lourdes Bolanos, Francesco De Carlo, Piergiorgio Cerello, Sorin Cristian Cheran, Ernesto Lopez Torres, Mathias Prokop
2009	J	`jnl`	Predicting Radiological Panel Opinions Using a Panel of Machine Learning Classifiers. Algorithms Dmitry Zinovev, Daniela Stan Raicu, Jacob Furst, Samuel G. Armato III
2009	J	`jnl`	Semi-supervised learning approaches for predicting semantic characteristics of lung nodules. Intell. Decis. Technol. Dmitry Zinovev, Ekarin Varutbangkul, Daniela Stan Raicu, Jacob D. Furst, Samuel G. Armato III
2005	J	`jnl`	Vessel tree reconstruction in thoracic CT scans with application to nodule detection. IEEE Trans. Medical Imaging Gady Agam, Samuel G. Armato III, Changhua Wu
2003	—	`conf`	Automated lung segmentation and computer-aided diagnosis for thoracic CT scans. CARS Samuel G. Armato III, Heber MacMahon
2001	J	`jnl`	Computer-Aided Diagnosis in Medical Imaging. IEEE Trans. Medical Imaging Maryellen L. Giger, Nico Karssemeijer, Samuel G. Armato III
2001	—	`conf`	Current status and future direction of computer-aided diagnosis in chest CT. CARS Maryellen L. Giger, Samuel G. Armato III
1999	J	`jnl`	Computerized analysis of abnormal asymmetry in digital chest radiographs: Evaluation of potential utility. J. Digit. Imaging Samuel G. Armato III, Maryellen L. Giger, Heber MacMahon