Publications by authors named "Samuel Armato"

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Machine learning evaluation of pneumonia severity: subgroup performance in the Medical Imaging and Data Resource Center modified radiographic assessment of lung edema mastermind challenge.
Karen Drukker, Samuel G Armato, Lubomir Hadjiiski, Judy Gichoya, Nicholas Gruszauskas

J Med Imaging (Bellingham)· September 2025

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MIDRC mRALE Mastermind Grand Challenge: AI to predict COVID severity on chest radiographs.
Samuel G Armato, Karen Drukker, Lubomir Hadjiiski, Carol C Wu, Jayashree Kalpathy-Cramer

J Med Imaging (Bellingham)· March 2025

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Radiomics for differentiation of somatic mutation on CT scans of patients with pleural mesothelioma.
Mena Shenouda, Abbas Shaikh, Ilana Deutsch, Owen Mitchell, Hedy L Kindler, Samuel G Armato

J Med Imaging (Bellingham)· November 2024

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Impact of retraining and data partitions on the generalizability of a deep learning model in the task of COVID-19 classification on chest radiographs.
Mena Shenouda, Heather M Whitney, Maryellen L Giger, Samuel G Armato

J Med Imaging (Bellingham)· November 2024

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Imaging in pleural Mesothelioma: A review of the 16th International Conference of the International Mesothelioma Interest Group.
Samuel G Armato, Sharyn I Katz, Thomas Frauenfelder, Geeshath Jayasekera, Annamaria Catino

Lung Cancer· July 2024

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Implementation of a high-resolution, high-contrast magnetic resonance imaging protocol with extended delayed phases for peritoneal mesothelioma.
Milica Medved, Hunter D D Witmer, Ankit Dhiman, Yaniv Berger, Scott K Sherman, Samuel G Armato

Quant Imaging Med Surg· March 2024

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Best Practices for Artificial Intelligence and Machine Learning for Computer-Aided Diagnosis in Medical Imaging.
Daniel Vergara, Samuel G Armato, Lubomir Hadjiiski, Karen Drukker

J Am Coll Radiol· February 2024

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Artificial intelligence in medicine: mitigating risks and maximizing benefits via quality assurance, quality control, and acceptance testing.
Usman Mahmood, Amita Shukla-Dave, Heang-Ping Chan, Karen Drukker, Ravi K Samala, Samuel G Armato

BJR Artif Intell· January 2024

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AI and machine learning in medical imaging: key points from development to translation.
Ravi K Samala, Karen Drukker, Amita Shukla-Dave, Heang-Ping Chan, Berkman Sahiner, Samuel G Armato

BJR Artif Intell· January 2024

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Convolutional Neural Networks for Segmentation of Malignant Pleural Mesothelioma: Analysis of Probability Map Thresholds (CALGB 30901, Alliance).
Mena Shenouda, Eyjólfur Gudmundsson, Feng Li, Christopher M Straus, Hedy L Kindler, Samuel G Armato

ArXiv· November 2023

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Magnetic resonance imaging preprocessing and radiomic features for classification of autosomal dominant polycystic kidney disease genotype.
Linnea E Kremer, Arlene B Chapman, Samuel G Armato

J Med Imaging (Bellingham)· November 2023

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Assessment of a deep learning model for COVID-19 classification on chest radiographs: a comparison across image acquisition techniques and clinical factors.
Mena Shenouda, Isabella Flerlage, Aditi Kaveti, Maryellen L Giger, Samuel G Armato

J Med Imaging (Bellingham)· November 2023

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AI in medical imaging grand challenges: translation from competition to research benefit and patient care.
Samuel G Armato, Karen Drukker, Lubomir Hadjiiski

Br J Radiol· October 2023

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Medical Physics ends print.
John M Boone, Stanley H Benedict, Zacariah E Labby, Samuel G Armato

Med Phys· October 2023

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Germline Variants Incidentally Detected via Tumor-Only Genomic Profiling of Patients With Mesothelioma.
Owen D Mitchell, Katie Gilliam, Daniela Del Gaudio, Kelsey E McNeely, Shaili Smith, Samuel G Armato

JAMA Netw Open· August 2023

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Emphysema Detection in the Course of Lung Cancer Screening: Optimizing a Rare Opportunity to Impact Population Health.
James L Mulshine, Carolyn R Aldigé, Laurie Fenton Ambrose, Samuel G Armato, Ricardo S Avila

Ann Am Thorac Soc· April 2023

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Considerations for Imaging of Malignant Pleural Mesothelioma: A Consensus Statement from the International Mesothelioma Interest Group.
Sharyn I Katz, Christopher M Straus, Leonid Roshkovan, Kevin G Blyth, Thomas Frauenfelder, Samuel G Armato

J Thorac Oncol· March 2023

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AAPM task group report 273: Recommendations on best practices for AI and machine learning for computer-aided diagnosis in medical imaging.
Lubomir Hadjiiski, Kenny Cha, Heang-Ping Chan, Karen Drukker, Lia Morra, Samuel G Armato

Med Phys· February 2023

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A Competition, Benchmark, Code, and Data for Using Artificial Intelligence to Detect Lesions in Digital Breast Tomosynthesis.
Nicholas Konz, Mateusz Buda, Hanxue Gu, Ashirbani Saha, Jichen Yang, Samuel G Armato

JAMA Netw Open· February 2023

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Interviewing for residency positions while completing a graduate degree: Considerations for graduate students, mentors, and program directors.
Wayne Newhauser, Garrett Pitcher, Christine Swanson, Samuel G Armato, Hania Al-Hallaq

J Appl Clin Med Phys· August 2022

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The role of imaging in diagnosis and management of malignant peritoneal mesothelioma: a systematic review.
Bradley Carlson, Carla Harmath, Kiran Turaga, Hedy L Kindler, Samuel G Armato

Abdom Radiol (NY)· May 2022

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Imaging in pleural mesothelioma: A review of the 15th International Conference of the International Mesothelioma Interest Group.
Samuel G Armato, Anna K Nowak, Roslyn J Francis, Sharyn I Katz, Manizha Kholmatov

Lung Cancer· February 2022

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QIBA guidance: Computed tomography imaging for COVID-19 quantitative imaging applications.
Ricardo S Avila, Sean B Fain, Chuck Hatt, Samuel G Armato, James L Mulshine

Clin Imaging· September 2021

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Anatomic Point-Based Lung Region with Zone Identification for Radiologist Annotation and Machine Learning for Chest Radiographs.
Feng Li, Samuel G Armato, Roger Engelmann, Thomas Rhines, Jennie Crosby

J Digit Imaging· August 2021

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Radiomics-based assessment of idiopathic pulmonary fibrosis is associated with genetic mutations and patient survival.
Jorie D Budzikowski, Joseph J Foy, Ahmed A Rashid, Jonathan H Chung, Imre Noth, Samuel G Armato

J Med Imaging (Bellingham)· May 2021

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