Developing a new case based computer-aided detection scheme and an adaptive cueing method to improve performance in detecting mammographic lesions

od Tan, Maxine, Aghaei, Faranak, Wang, Yunzhi, Zheng, Bin
izdano v Phys Med Biol (2016)

Applying a New Quantitative Global Breast MRI Feature Analysis Scheme to Assess Tumor Response to Chemotherapy

od Aghaei, Faranak, Tan, Maxine, Hollingsworth, Alan B., Zheng, Bin
izdano v J Magn Reson Imaging (2016)

Applying a New Bilateral Mammographic Density Segmentation Method to Improve Accuracy of Breast Cancer Risk Prediction

od Yan, Shiju, Wang, Yunzhi, Aghaei, Faranak, Qiu, Yuchen, Zheng, Bin
izdano v Int J Comput Assist Radiol Surg (2017)

Improving Performance of Breast Cancer Risk Prediction by Incorporating Optical Density Image Feature Analysis: An Assessment

od Yan, Shiju, Wang, Yunzhi, Aghaei, Faranak, Qiu, Yuchen, Zheng, Bin
izdano v Acad Radiol (2022)

Computer-aided Classification of Mammographic Masses Using Visually Sensitive Image Features

od Wang, Yunzhi, Aghaei, Faranak, Zarafshani, Ali, Qiu, Yuchen, Qian, Wei, Zheng, Bin
izdano v J Xray Sci Technol (2017)

Developing global image feature analysis models to predict cancer risk and prognosis

od Zheng, Bin, Qiu, Yuchen, Aghaei, Faranak, Mirniaharikandehei, Seyedehnafiseh, Heidari, Morteza, Danala, Gopichandh
izdano v Vis Comput Ind Biomed Art (2019)

Computer-aided breast MR image feature analysis for prediction of tumor response to chemotherapy

od Aghaei, Faranak, Tan, Maxine, Hollingsworth, Alan B., Qian, Wei, Liu, Hong, Zheng, Bin
izdano v Med Phys (2015)

Classification of Breast Masses Using a Computer-aided Diagnosis Scheme of Contrast Enhanced Digital Mammograms

od Danala, Gopichandh, Patel, Bhavika, Aghaei, Faranak, Heidari, Morteza, Li, Jing, Wu, Teresa, Zheng, Bin
izdano v Ann Biomed Eng (2018)