Philip O. Alderson

National Jewish Health — United States

Medicine · Health Sciences

46h-index7.1kcitations231works0.02yr avg
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Research Topics

Radiation Dose and Imaging(41), Venous Thromboembolism Diagnosis and Management(25), Radiopharmaceutical Chemistry and Applications(25), Ultrasound in Clinical Applications(23), Cardiac Imaging and Diagnostics(22)

Publications230 total

A Model to Introduce Medical Students to the Use of Artificial Intelligence and Genomics for Precision Medicine
2021· 4 citedOpen Access
Chest X-ray Bone Suppression for Improving Classification of Tuberculosis-Consistent Findings
Diagnostics·2021· 58 citedOpen Access
Chest X-Ray Bone Suppression for Improving Classification of Tuberculosis-Consistent Findings
arXiv (Cornell University)·2021· 3 citedOpen Access
Improved TB classification using bone-suppressed chest radiographs.
arXiv (Cornell University)·2021· 1 citedOpen Access
Chest X-Ray Bone Suppression for Improving Classification of\n Tuberculosis-Consistent Findings
arXiv (Cornell University)·2021Open Access
Improved Semantic Segmentation of Tuberculosis—Consistent Findings in Chest X-rays Using Augmented Training of Modality-Specific U-Net Models with Weak Localizations
Diagnostics·2021· 1 citedOpen Access
Training custom modality-specific U-Net models with weak localizations for improved Tuberculosis segmentation and localization.
arXiv (Cornell University)·2021· 1 citedOpen Access
Improved Semantic Segmentation of Tuberculosis-consistent findings in\n Chest X-rays Using Augmented Training of Modality-specific U-Net Models with\n Weak Localizations
arXiv (Cornell University)·2021Open Access
Imaging of Pulmonary Hypertension in Adults: A Position Paper from the Fleischner Society
Radiology·2021· 87 cited
Imaging of pulmonary hypertension in adults: a position paper from the Fleischner Society
European Respiratory Journal·2021· 97 citedOpen Access
Analyzing inter-reader variability affecting deep ensemble learning for COVID-19 detection in chest radiographs
PLoS ONE·2020· 61 citedOpen Access
Interpreting Deep Ensemble Learning through Radiologist Annotations for COVID-19 Detection in Chest Radiographs
2020· 4 citedOpen Access
Iteratively Pruned Deep Learning Ensembles for COVID-19 Detection in Chest X-Rays
PubMed Central·2020· 371 citedOpen Access
The Quest for Generalizability in Radiomics
Radiology Artificial Intelligence·2020· 3 citedOpen Access
Iteratively Pruned Deep Learning Ensembles for COVID-19 Detection in\n Chest X-rays
arXiv (Cornell University)·2020Open Access
The Evolving Status of Radiomics
JNCI Journal of the National Cancer Institute·2020· 14 citedOpen Access
Iteratively Pruned Deep Learning Ensembles for COVID-19 Detection in Chest X-Rays
IEEE Access·2020· 33 citedOpen Access
A Novel Stacked Model Ensemble for Improved TB Detection in Chest Radiographs
2019· 7 cited
A novel stacked generalization of models for improved TB detection in chest radiographs
2018· 79 cited
Comparing deep learning models for population screening using chest radiography
Medical Imaging 2018: Computer-Aided Diagnosis·2018· 53 cited
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Frequent Co-authors

Henry N. Wagner(6), Sivaramakrishnan Rajaraman(5), Sameer Antani(5), S S Siegelman(5), Barbara J. McNeil(5), S J Hessel(4), D F Adams(4), Harris J. Finberg(4), Abrams Hl(4), Barry A. Siegel(4), Les Folio(3), Lewis C. Becker(3), Edward L. Nickoloff(3), R C Sanders(3), Daniel R. Biello(3), Bradley E. Chipps(3), John H. M. Austin(2), H. N. Wagner(2), Pierre Rigo(2), Martine Rémy‐Jardin(2)