All Stories

  1. 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

    Article • March 2018, SPIE

    Ms Nastaran Emaminejad

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

    Article • March 2017, SPIE

    Ms Nastaran Emaminejad

  3. Association of quantitative imaging features (radiomics) to lung cancer disease

    Article • IEEE Transactions on Biomedical Engineering, May 2016, Institute of Electrical & Electronics Engineers (IEEE)

    Ms Nastaran Emaminejad

  4. Applying a radiomics approach to predict prognosis of lung cancer patients

    Article • March 2016, SPIE

    Ms Nastaran Emaminejad

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

    Article • March 2015, SPIE

    Professor Bin Zheng, Ms Nastaran Emaminejad

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

    Article • March 2014, SPIE

    Ms Nastaran Emaminejad