Thorsten Twellmann

Computer-aided Diagnosis in Breast MRI: Do Adjunct Features Derived from T2-weighted Images Improve Classification of Breast Masses? (2009)

Willem Van Aalst, Thorsten Twellmann, Hans Buurman, Frans A. Gerritsen

Abstract. In the field of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) of breast cancer, current research efforts in computer-aided diagnosis (CADx) are mainly focused on the...

Acknowledgements (2008)

Thorsten Twellmann

First of all, I would like express my gratitude to my supervisor Juniorprof. Dr. Tim Wilhelm Nattkemper for his helpful advise and the fruitful discussions during the last years, but also to Prof....

Abstract (2008)

Peter Meinicke, Helge Ritter, Thorsten Twellmann

We propose a framework for classifier design based on discriminative densities for representation of the differences of the class-conditional distributions in a way that is optimal for...

Data-driven analysis of dynamic contrast-enhanced magnetic resonance imaging data in breast cancer diagnosis (2005)

Twellmann, Thorsten

In the European Union, breast cancer is the most common type of cancer affecting women. If diagnosed in an early stage, breast cancer has an encouraging cure rate. Thus, early detection of breast...

Image fusion for dynamic contrast enhanced magnetic resonance imaging (2004)

Twellmann, Thorsten, Saalbach, Axel, Gerstung, Olaf, Leach, Martin O, Nattkemper, Tim W

Abstract Background Multivariate imaging techniques such as dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) have been shown to provide valuable information for medical diagnosis. Even...

Human vs. Machine: Evaluation of (2002)

Fluorescence Micrographs, Tim W. Nattkemper, Thorsten Twellmann, Helge Ritter

To enable high-throughput screening (HTS) of molecular phenotypes, multi-parameter fluorescence microscopy is applied. Object of our study is lymphocytes which invade human tissue. One important...