Computer-aided global breast MR image feature analysis for prediction of tumor response to chemotherapy: performance assessment. - Faranak Aghaei; Maxine Tan; Alan B. Hollingsworth; Bin Zheng 001; Samuel Cheng 001 (Computer-Aided Diagnosis, 2016)

Increasing cancer detection yield of breast MRI using a new CAD scheme of mammograms. - Maxine Tan; Faranak Aghaei; Alan B. Hollingsworth; Rebecca G. Stough; Hong Liu 003; Bin Zheng 001 (Computer-Aided Diagnosis, 2016)

Applying a new mammographic imaging marker to predict breast cancer risk. - Faranak Aghaei; Gopichandh Danala; Alan B. Hollingsworth; Rebecca G. Stough; Melanie Pearce; Hong Liu 003; Bin Zheng 001 (Computer-Aided Diagnosis, 2018)

Developing a new quantitative imaging marker to predict pathological complete response to neoadjuvant chemotherapy. - Faranak Aghaei; Alan B. Hollingsworth; Seyedehnafiseh Mirniaharikandehei; Yunzhi Wang 002; Hong Liu 003; Bin Zheng 001 (Computer-Aided Diagnosis, 2019)

Applying a new quantitative image analysis scheme based on global mammographic features to assist diagnosis of breast cancer. - Xuxin Chen; Abolfazl Zargari; Alan B. Hollingsworth; Hong Liu 003; Bin Zheng 001; Yuchen Qiu (Comput. Methods Programs Biomed., 2019)

Development and Assessment of a New Global Mammographic Image Feature Analysis Scheme to Predict Likelihood of Malignant Cases. - Morteza Heidari; Seyedehnafiseh Mirniaharikandehei; Wei Liu 116; Alan B. Hollingsworth; Hong Liu 003; Bin Zheng 001 (IEEE Trans. Medical Imaging, 2020)

Assessment of a new CAD-generated imaging marker to predict risk of having mammography-occult tumors. - Seyedehnafiseh Mirniaharikandehei; Alan B. Hollingsworth; Meredith A. Jones; Hong Liu 003; Yuchen Qiu; Bin Zheng 001 (Image Perception, Observer Performance, and Technology Assessment, 2022)