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Christian Münzenmayer

Showing results (1-10 of 8) with videos related to

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IEEE Transactions on Bio-Medical Engineering|February 21, 2006
A spectral color correction framework for medical applicationsChristian Münzenmayer, Dietrich Paulus, Thomas Wittenberg
International Journal of Computer Assisted Radiology and Surgery|August 3, 2015
Shading correction for endoscopic images using principal color componentsTobias Bergen, Thomas Wittenberg, Christian Münzenmayer
Blood|November 18, 2021
Highly accurate differentiation of bone marrow cell morphologies using deep neural networks on a large image data setChristian Matek, Sebastian Krappe, Christian Münzenmayer, et al.
IEEE Transactions on Bio-Medical Engineering|October 6, 2006
Automatic adaptive enhancement for images obtained with fiberscopic endoscopesChristian Winter, Stephan Rupp, Matthias Elter, et al.
Acta Cytologica|October 19, 2012
Computer-assisted diagnosis in colposcopy: results of a preliminary experiment?Grit Mehlhorn, Christian Münzenmayer, Michaela Benz, et al.
Anticancer Research|December 11, 2012
Computer-assisted diagnosis (CAD) in colposcopy: evaluation of a pilot studyGrit Mehlhorn, Andreas Kage, Christian Münzenmayer, et al.
Archives of Gynecology and Obstetrics|January 21, 2012
Subjective assessment of ovarian masses using pattern recognition: the impact of experience on diagnostic performance and interobserver variabilityFlorian Faschingbauer, Michaela Benz, Lothar Häberle, et al.
Breast Cancer Research : BCR|April 12, 2012
Characterizing mammographic images by using generic texture featuresLothar Häberle, Florian Wagner, Peter A Fasching, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
IEEE Transactions on Bio-Medical Engineering|February 21, 2006
A spectral color correction framework for medical applicationsChristian Münzenmayer, Dietrich Paulus, Thomas Wittenberg
International Journal of Computer Assisted Radiology and Surgery|August 3, 2015
Shading correction for endoscopic images using principal color componentsTobias Bergen, Thomas Wittenberg, Christian Münzenmayer
Blood|November 18, 2021
Highly accurate differentiation of bone marrow cell morphologies using deep neural networks on a large image data setChristian Matek, Sebastian Krappe, Christian Münzenmayer, et al.
IEEE Transactions on Bio-Medical Engineering|October 6, 2006
Automatic adaptive enhancement for images obtained with fiberscopic endoscopesChristian Winter, Stephan Rupp, Matthias Elter, et al.
Acta Cytologica|October 19, 2012
Computer-assisted diagnosis in colposcopy: results of a preliminary experiment?Grit Mehlhorn, Christian Münzenmayer, Michaela Benz, et al.
Anticancer Research|December 11, 2012
Computer-assisted diagnosis (CAD) in colposcopy: evaluation of a pilot studyGrit Mehlhorn, Andreas Kage, Christian Münzenmayer, et al.
Archives of Gynecology and Obstetrics|January 21, 2012
Subjective assessment of ovarian masses using pattern recognition: the impact of experience on diagnostic performance and interobserver variabilityFlorian Faschingbauer, Michaela Benz, Lothar Häberle, et al.
Breast Cancer Research : BCR|April 12, 2012
Characterizing mammographic images by using generic texture featuresLothar Häberle, Florian Wagner, Peter A Fasching, et al.
Pageof 1