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Disambiguation of "Drukteinis, Jennifer S."

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Calibration Procedure of Three Component Mammographic Breast Imaging.

, , , , , , , , , , and . Digital Mammography / IWDM, volume 9699 of Lecture Notes in Computer Science, page 211-218. Springer, (2016)

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Edmund Drukteinis

Jennifer Stiebich

Elektrochrome Beschichtungen: Herstellung und Analyse von elektrochromen Metalloxiden. Uni Gießen, (2009)

S Danischewski

S Fröhlich

S Hüttelmaier

 

Other publications of authors with the same name

Deep learning and three-compartment breast imaging in breast cancer diagnosis., , , , , , , , , and 2 other author(s). Medical Imaging: Computer-Aided Diagnosis, volume 10134 of SPIE Proceedings, page 101341F. SPIE, (2017)New method for predicting estrogen receptor status utilizing breast MRI texture kinetic analysis., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 9035 of SPIE Proceedings, page 90351V. SPIE, (2014)Correlation Based Random Subspace Ensembles for Predicting Number of Axillary Lymph Node Metastases in Breast DCE-MRI Tumors., , , , , and . SMC, page 2164-2169. IEEE, (2015)Predicting Ki67% expression from DCE-MR images of breast tumors using textural kinetic features in tumor habitats., , , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 9785 of SPIE Proceedings, page 97850T. SPIE, (2016)Identification, segmentation, and characterization of microcalcifications on mammography., , , , , , , , , and 2 other author(s). Medical Imaging: Computer-Aided Diagnosis, volume 9785 of SPIE Proceedings, page 97850S. SPIE, (2016)Using features from tumor subregions of breast DCE-MRI for estrogen receptor status prediction., , , , , , and . SMC, page 2624-2629. IEEE, (2014)Calibration Procedure of Three Component Mammographic Breast Imaging., , , , , , , , , and 1 other author(s). Digital Mammography / IWDM, volume 9699 of Lecture Notes in Computer Science, page 211-218. Springer, (2016)Roles of biologic breast tissue composition and quantitative image analysis of mammographic images in breast tumor characterization., , , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 9035 of SPIE Proceedings, page 90351U. SPIE, (2014)Identifying metastatic breast tumors using textural kinetic features of a contrast based habitat in DCE-MRI., , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 9414 of SPIE Proceedings, page 941415. SPIE, (2015)