The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): A Completed Reference Database of Lung Nodules on CT Scans
2011 · Medical Physics · 2,695 citations
https://doi.org/10.1118/1.3528204
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Samuel G. Armato
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Samuel G. Armato is an academic researcher from University of Chicago. The author has contributed to research in topics: Radiomics and Machine Learning in Medical Imaging & Lung Cancer Diagnosis and Treatment & Occupational and environmental lung diseases. The author has an h-index of 48, co-authored 233 publications.
ORCID: 0000-0002-5428-7997Papers by this author
worksQuantitative Imaging to Assess Tumor Response to Therapy: Common Themes of Measurement, Truth Data, and Error Sources
2009 · Translational Oncology · 49 citations
https://doi.org/10.1593/tlo.09208
PET/CT Assessment of Response to Therapy: Tumor Change Measurement, Truth Data and Error
2009 · Translational Oncology · 46 citations
https://doi.org/10.1593/tlo.09223
Convolutional Neural Networks for Segmentation of Pleural Mesothelioma: Analysis of Probability Map Thresholds (CALGB 30901, Alliance)
2024 · Journal of Imaging Informatics in Medicine · 2 citations
https://doi.org/10.1007/s10278-024-01092-z
P3.14.04 High-Volume Surgical Centers for Pleural Mesothelioma Are Associated With Lower Perioperative Mortality
2025 · Journal of Thoracic Oncology · 0 citations
https://doi.org/10.1016/j.jtho.2025.09.974
OA09.02 I3LUNG-PDSS: A Multimodal AI-Based Clinical Decision Support System for Predicting Immunotherapy Efficacy in Metastatic NSCLC
2025 · Journal of Thoracic Oncology · 0 citations
https://doi.org/10.1016/j.jtho.2025.09.059
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