Nastaran Emaminejad

Evaluation of correlation between CT image features and ERCC1 protein expression in assessing lung cancer prognosis

Bin Zheng, Wei Qian, Fleming Lure, 2014, Medical Imaging.

Technical Note: Design and implementation of a high-throughput pipeline for reconstruction and quantitative analysis of CT image data.

John Hoffman, Michael McNitt-Gray, Matthew Brown, 2019, Medical physics.

Towards quantitative imaging: stability of fully automated nodule segmentation across varied dose levels and reconstruction parameters in a low-dose CT screening patient cohort

Michael F. McNitt-Gray, Matthew S. Brown, John M. Hoffman, 2018, Medical Imaging.

Applying a radiomics approach to predict prognosis of lung cancer patients

Wei Qian, Shiju Yan, Bin Zheng, 2016, SPIE Medical Imaging.

Fusion of Quantitative Image and Genomic Biomarkers to Improve Prognosis Assessment of Early Stage Lung Cancer Patients

Wei Qian, Hong Liu, Bin Zheng, 2016, IEEE Transactions on Biomedical Engineering.

The effects of variations in parameters and algorithm choices on calculated radiomics feature values: initial investigations and comparisons to feature variability across CT image acquisition conditions

Michael McNitt-Gray, Nastaran Emaminejad, Matthew S. Brown, 2018, Medical Imaging.

The effects of slice thickness and radiation dose level variations on computer-aided diagnosis (CAD) nodule detection performance in pediatric chest CT scans

Michael F. McNitt-Gray, Matthew S. Brown, Pechin Lo, 2017, Medical Imaging.

Exploring new quantitative CT image features to improve assessment of lung cancer prognosis

Wei Qian, Yan Kang, Bin Zheng, 2015, Medical Imaging.