Samuel G Armato

16PUBLICATIONS
41CO-AUTHORS
Cancer diagnosisContext learningPattern recognitionSensory processes, perception and performanceEpigenetics (incl. genome methylation and epigenomics)
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Publications (16)

|Aug 12, 2026
The American Cancer Society National Lung Cancer Roundtable strategic plan: Opportunities in advanced imaging across the lung cancer care continuum.

|Oct 09, 2025
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

|Apr 25, 2025
MIDRC mRALE Mastermind Grand Challenge: AI to predict COVID severity on chest radiographs.

Samuel G Armato, Karen Drukker, Lubomir Hadjiiski

|Dec 30, 2024
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

|Dec 13, 2024
Radiomics for differentiation of somatic BAP1 mutation on CT scans of patients with pleural mesothelioma.

Mena Shenouda, Abbas Shaikh, Ilana Deutsch

|Jan 01, 2024
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

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Frequent Collaborators

6 joint publications

Maryellen L Giger

4 joint publications

Jayashree Kalpathy-Cramer

3 joint publications

Karen Drukker

3 joint publications

Heather M Whitney