Exploring new quantitative CT image features to improve assessment of lung cancer prognosis. - Nastaran Emaminejad; Wei Qian 001; Yan Kang; Yubao Guan; Fleming Lure; Bin Zheng 001 (Computer-Aided Diagnosis, 2015)

Applying a radiomics approach to predict prognosis of lung cancer patients. - Nastaran Emaminejad; Shiju Yan; Yunzhi Wang 002; Wei Qian 001; Yubao Guan; Bin Zheng 001 (Computer-Aided Diagnosis, 2016)

Fusion of Quantitative Image and Genomic Biomarkers to Improve Prognosis Assessment of Early Stage Lung Cancer Patients. - Nastaran Emaminejad; Wei Qian 001; Yubao Guan; Maxine Tan; Yuchen Qiu; Hong Liu 003; Bin Zheng 001 (IEEE Trans. Biomed. Eng., 2016)

The effects of slice thickness and radiation dose level variations on computer-aided diagnosis (CAD) nodule detection performance in pediatric chest CT scans. - Nastaran Emaminejad; Pechin Lo; Shahnaz Ghahremani; Grace H. Kim; Matthew S. Brown; Michael F. McNitt-Gray (Computer-Aided Diagnosis, 2017)

Towards quantitative imaging: stability of fully-automated nodule segmentation across varied dose levels and reconstruction parameters in a low-dose CT screening patient cohort. - M. Wasil Wahi-Anwar; Nastaran Emaminejad; John M. Hoffman; Grace H. Kim; Matthew S. Brown; Michael F. McNitt-Gray (Computer-Aided Diagnosis, 2018)

EchoFM: A View-Independent Echocardiogram Model for the Detection of Pulmonary Hypertension. - Shreyas Fadnavis; Chaitanya Parmar; Nastaran Emaminejad; Alvaro Ulloa Cerna; Areez Malik; Mona Selej; Tommaso Mansi; Preston Dunnmon; Tarik Yardibi; Kristopher Standish; Pablo F. Damasceno (MICCAI (1), 2024)