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Publications in Imaging

Dosimetric Performance and Array Assessment of Plastic Scintillation Detectors for Stereotactic Radiosurgery Quality Assurance

Medical Physics

English

An International Survey on Liver Metastases Radiotherapy

English

Estimation of Breast Percent Density in Raw and Processed Full Field Digital Mammography Images via Adaptive Fuzzy C-Means Clustering and Support Vector Machine Segmentation

English

Provision of Data From the Clinical Database and of Biological Material From the Tumor Bank of the Danish Breast Cancer Cooperative Group 2008–2017

English

Improving the Sensitivity of High-Frequency Subharmonic Imaging With Coded Excitation: A Feasibility Study

English

Characterization of Urinary Stone Composition by Use of Third-Generation Dual-Source Dual-Energy CT With Increased Spectral Separation

American Journal of Roentgenology

English

Erratum: “The Utility of Quantitative CT Radiomics Features for Improved Prediction of Radiation Pneumonitis” [Med. Phys. Vol. 45(11):5317-5324 (2018)]

English

Technical Note: Increased Photon Starvation Artifacts at Low Helical Pitch in Ultra‐Low‐Dose CT

English

Prediction of Skin Dose in Low-kV Intraoperative Radiotherapy Using Machine Learning Models Trained on Results of in Vivo Dosimetry

English

A Machine Learning Texture Model for Classifying Lung Cancer Subtypes Using Preliminary Bronchoscopic Findings

English

Amanote Research

Discover open access scientific publications

Search, annotate, share and cite publications

Publications in Imaging

Dosimetric Performance and Array Assessment of Plastic Scintillation Detectors for Stereotactic Radiosurgery Quality Assurance

An International Survey on Liver Metastases Radiotherapy

Estimation of Breast Percent Density in Raw and Processed Full Field Digital Mammography Images via Adaptive Fuzzy C-Means Clustering and Support Vector Machine Segmentation

Provision of Data From the Clinical Database and of Biological Material From the Tumor Bank of the Danish Breast Cancer Cooperative Group 2008–2017

Improving the Sensitivity of High-Frequency Subharmonic Imaging With Coded Excitation: A Feasibility Study

Characterization of Urinary Stone Composition by Use of Third-Generation Dual-Source Dual-Energy CT With Increased Spectral Separation

Erratum: “The Utility of Quantitative CT Radiomics Features for Improved Prediction of Radiation Pneumonitis” [Med. Phys. Vol. 45(11):5317-5324 (2018)]

Technical Note: Increased Photon Starvation Artifacts at Low Helical Pitch in Ultra‐Low‐Dose CT

Prediction of Skin Dose in Low-kV Intraoperative Radiotherapy Using Machine Learning Models Trained on Results of in Vivo Dosimetry

A Machine Learning Texture Model for Classifying Lung Cancer Subtypes Using Preliminary Bronchoscopic Findings