Faranak Aghaei - researchr alias

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Viewing Publication 1 - 15 from 15

2019

Developing global image feature analysis models to predict cancer risk and prognosisBin Zheng 0001, Yuchen Qiu, Faranak Aghaei, Seyedehnafiseh Mirniaharikandehei, Morteza Heidari, Gopichandh Danala. vciba, 2:1-14, 2019. [doi]

Computer aided antibody screening for IHC assay developmentFaranak Aghaei, Yao Nie. midp 2019: [doi]

Developing a new quantitative imaging marker to predict pathological complete response to neoadjuvant chemotherapyFaranak Aghaei, Alan B. Hollingsworth, Seyedehnafiseh Mirniaharikandehei, Yunzhi Wang, Hong Liu, Bin Zheng. micad 2019: [doi]

Developing a computer-aided image analysis and visualization tool to predict region-specific brain tissue "at risk" for developing acute ischemic strokeGopichandh Danala, Morteza Heidari, Faranak Aghaei, Bappaditya Ray, Bin Zheng 0001. mibam 2019: [doi]

Design, fabrication and evaluation of non-imaging, label-free pre-screening tool using quantified bio-electrical tissue profileAli Zarafshani, Yunzhi Wang, Seyedeh-Nafiseh Mirniaharikandehei, Morteza Heidari, Faranak Aghaei, Siqi Wang, Liangzhong Xiang, Bin Zheng 0001. mibam 2019: 1095304 [doi]

2018

2017

Automated detection and quantification of residual brain tumor using an interactive computer-aided detection schemeKevin P. Gaffney, Faranak Aghaei, James Battiste, Bin Zheng. micad 2017: [doi]

Applying a new bilateral mammographic density segmentation method to improve accuracy of breast cancer risk predictionShiju Yan, Yunzhi Wang, Faranak Aghaei, Yuchen Qiu, Bin Zheng. cars, 12(10):1819-1828, 2017. [doi]

2016

2015

Automated detection of breast tumor in MRI and comparison of kinetic features for assessing tumor response to chemotherapyFaranak Aghaei, Maxine Tan, Bin Zheng. micad 2015: 941429 [doi]

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