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Thorsten Twellmann
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2010 – 2019
- 2014
- [j4]Colin Jacobs
, Eva M. van Rikxoort
Automatic detection of subsolid pulmonary nodules in thoracic computed tomography images. Medical Image Anal. 18(2): 374-384 (2014) - 2011
- [c12]Colin Jacobs
Computer-Aided Detection of Ground Glass Nodules in Thoracic CT Images Using Shape, Intensity and Context Features. MICCAI (3) 2011: 207-214 - 2010
- [c11]Horst K. Hahn, Markus Thorsten Harz, Heike Seyffarth, Fabian Zöhrer, Tobias Böhler, Konstantinos Filippatos, Lei Wang, André Homeyer
Concepts for Efficient and Reliable Multi-modal Breast Image Reading. Digital Mammography / IWDM 2010: 121-128 - [c10]Konstantinos Filippatos, Tobias Böhler, Benjamin P. Geisler, Harald Zachmann, Thorsten Twellmann:
Full automatic fiducial marker detection on coil arrays for accurate instrumentation placement during MRI guided breast interventions. Medical Imaging: Image-Guided Procedures 2010: 762527
2000 – 2009
- 2009
- [c9]Jennifer Loose, Markus Thorsten Harz, Hendrik Laue, Thorsten Twellmann, Ulrich Bick
Assessment of texture analysis on DCE-MRI data for the differentiation of breast tumor lesions. Medical Imaging: Computer-Aided Diagnosis 2009: 72600K - 2008
- [j3]Thorsten Twellmann, Anke Meyer-Bäse
Model-free visualization of suspicious lesions in breast MRI based on supervised and unsupervised learning. Eng. Appl. Artif. Intell. 21(2): 129-140 (2008) - [c8]Willem van Aalst, Thorsten Twellmann, Johannes Buurman, Frans A. Gerritsen, Bart M. ter Haar Romeny
Computer-Aided Diagnosis in Breast MRI: Do Adjunct Features Derived from T2-weighted Images Improve Classification of Breast Masses?. Bildverarbeitung für die Medizin 2008: 11-15 - [c7]Thorsten Twellmann, Bart M. ter Haar Romeny
Computer-aided classification of lesions by means of their kinetic signatures in dynamic contrast-enhanced MR images. Medical Imaging: Computer-Aided Diagnosis 2008: 69150J - 2005
- [b1]Thorsten Twellmann:
Data-driven analysis of dynamic contrast-enhanced magnetic resonance imaging data in breast cancer diagnosis (Datengetriebene Analyse dynamischer Magnet-Resonanz-Tomographie-Aufnahmen für die Brustkrebsdiagnostik). Bielefeld University , Germany, 2005 - [j2]Thorsten Twellmann, Oliver Lichte, Tim W. Nattkemper
An adaptive tissue characterization network for model-free visualization of dynamic contrast-enhanced magnetic resonance image data. IEEE Trans. Medical Imaging 24(10): 1256-1266 (2005) - [c6]Axel Saalbach, Thorsten Twellmann, Tim W. Nattkemper, Axel Wismüller, Jörg Ontrup, Helge J. Ritter:
A Hyperbolic Topographic Mapping for Proximity Data. Artificial Intelligence and Applications 2005: 106-111 - [c5]Thorsten Twellmann, Oliver Lichte, Axel Saalbach, Axel Wismüller, Tim W. Nattkemper:
An Adaptive Extended Colour Scale for Comparison of Pseudo Colouring Techniques for DCE-MRI Data. Bildverarbeitung für die Medizin 2005: 312-316 - 2004
- [c4]Axel Saalbach, Thorsten Twellmann, Tim W. Nattkemper
Visualization of multivariate image data using image fusion and perceptually optimized color scales based on sRGB. Medical Imaging: Image-Guided Procedures 2004 - [c3]Andreas Degenhard, Marc Mutz, Tim W. Nattkemper, Axel Saalbach, Thorsten Twellmann, Mark J. White, Michael Khazen, Linda Pointon, Martin O. Leach
Multiscale entropy analysis in dynamic contrast-enhanced MRI. Medical Imaging: Image Processing 2004 - 2003
- [j1]Tim W. Nattkemper
Human vs. machine: evaluation of fluorescence micrographs. Comput. Biol. Medicine 33(1): 31-43 (2003) - 2002
- [c2]Peter Meinicke, Thorsten Twellmann, Helge J. Ritter:
Maximum Contrast Classifiers. ICANN 2002: 745-750 - [c1]Peter Meinicke, Thorsten Twellmann, Helge J. Ritter:
Discriminative Densities from Maximum Contrast Estimation. NIPS 2002: 985-992
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