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Jennifer S. Drukteinis
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2010 – 2019
- 2017
- [c9]Karen Drukker, Benjamin Q. Huynh, Maryellen L. Giger, Serghei Malkov, Jesús I. Ávila, Bo Fan, Bonnie N. Joe, Karla Kerlikowske, Jennifer S. Drukteinis, Leila Kazemi, Malesa M. Pereira, John Shepherd:
Deep learning and three-compartment breast imaging in breast cancer diagnosis. Computer-Aided Diagnosis 2017: 101341F - 2016
- [c8]Serghei Malkov, Jesús Ávila, Bo Fan, Bonnie N. Joe, Karla Kerlikowske, Maryellen L. Giger, Karen Drukker, Jennifer S. Drukteinis, Leila Kazemi, Malesa Pereira, John Shepherd:
Calibration Procedure of Three Component Mammographic Breast Imaging. Digital Mammography / IWDM 2016: 211-218 - [c7]Baishali Chaudhury, Mu Zhou, Hamidreza Farhidzadeh, Dmitry B. Goldgof, Lawrence O. Hall, Robert A. Gatenby, Robert J. Gillies, Robert J. Weinfurtner, Jennifer S. Drukteinis:
Predicting Ki67% expression from DCE-MR images of breast tumors using textural kinetic features in tumor habitats. Computer-Aided Diagnosis 2016: 97850T - [c6]Karen Drukker, Serghei Malkov, Jesús Ávila, Karla Kerlikowske, Bonnie N. Joe, Gregor Krings, Jennifer Creasman, Jennifer S. Drukteinis, Malesa M. Pereira, Leila Kazemi, John Shepherd, Maryellen L. Giger:
Identification, segmentation, and characterization of microcalcifications on mammography. Computer-Aided Diagnosis 2016: 97850S - 2015
- [c5]Baishali Chaudhury, Mu Zhou, Dmitry B. Goldgof, Lawrence O. Hall, Robert A. Gatenby, Robert J. Gillies, Jennifer S. Drukteinis:
Identifying metastatic breast tumors using textural kinetic features of a contrast based habitat in DCE-MRI. Computer-Aided Diagnosis 2015: 941415 - [c4]Baishali Chaudhury, Dmitry B. Goldgof, Lawrence O. Hall, Robert A. Gatenby, Robert J. Gillies, Jennifer S. Drukteinis:
Correlation Based Random Subspace Ensembles for Predicting Number of Axillary Lymph Node Metastases in Breast DCE-MRI Tumors. SMC 2015: 2164-2169 - 2014
- [c3]Baishali Chaudhury, Lawrence O. Hall, Dmitry B. Goldgof, Robert A. Gatenby, Robert J. Gillies, Jennifer S. Drukteinis:
New method for predicting estrogen receptor status utilizing breast MRI texture kinetic analysis. Computer-Aided Diagnosis 2014: 90351V - [c2]Karen Drukker, Maryellen L. Giger, Fred Duewer, Serghei Malkov, Christopher I. Flowers, Bonnie N. Joe, Karla Kerlikowske, Jennifer S. Drukteinis, John Shepherd:
Roles of biologic breast tissue composition and quantitative image analysis of mammographic images in breast tumor characterization. Computer-Aided Diagnosis 2014: 90351U - [c1]Baishali Chaudhury, Mu Zhou, Dmitry B. Goldgof, Lawrence O. Hall, Robert A. Gatenby, Robert J. Gillies, Jennifer S. Drukteinis:
Using features from tumor subregions of breast DCE-MRI for estrogen receptor status prediction. SMC 2014: 2624-2629
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