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Christian Münzenmayer
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2020 – today
- 2022
- [c37]Christian Matek, Sebastian Krappe, Christian Münzenmayer, Torsten Haferlach, Carsten Marr:
Abstract: A Database and Neural Network for Highly Accurate Classification of Single Bone Marrow Cells. Bildverarbeitung für die Medizin 2022: 159
2010 – 2019
- 2018
- [c36]Matthias Bergler, Maximilian Weiherer, Tobias Bergen, Malte Avenhaus, David Rauber, Thomas Wittenberg, Christian Münzenmayer, Michaela Benz:
Stitching Pathological Tissue Images using DOP Feature Tracking. Bildverarbeitung für die Medizin 2018: 322-327 - 2017
- [c35]Wolfgang Aichinger, Sebastian Krappe, A. Enis Çetin, Rengül Çetin-Atalay, Aysegül Üner, Michaela Benz, Thomas Wittenberg, Marc Stamminger, Christian Münzenmayer:
Automated cancer stem cell recognition in H and E stained tissue using convolutional neural networks and color deconvolution. Digital Pathology 2017: 101400N - [c34]Sebastian Krappe, Michaela Benz, Alexander Gryanik, Egbert Tannich, Christine Wegner, Marc Stamminger, Thomas Wittenberg, Christian Münzenmayer:
Automated plasmodia recognition in microscopic images for diagnosis of malaria using convolutional neural networks. Digital Pathology 2017: 101400B - 2016
- [j3]Tobias Bergen, Thomas Wittenberg, Christian Münzenmayer:
Shading correction for endoscopic images using principal color components. Int. J. Comput. Assist. Radiol. Surg. 11(3): 397-405 (2016) - [c33]Daniel Erpenbeck, Tobias Bergen, Thomas Wittenberg, Egbert Tannich, Christine Wegner, Christian Münzenmayer, Michaela Benz:
Basic Statistics of SIFT Features for Texture Analysis. Bildverarbeitung für die Medizin 2016: 98-103 - [c32]Claudia Dach, Tilman Rau, Carol Geppert, Alexander Hartmann, Thomas Wittenberg, Christian Münzenmayer:
Towards Computer-Assisted Diagnosis of Precursor Colorectal Lesions. Bildverarbeitung für die Medizin 2016: 266-271 - [c31]Sebastian Krappe, Richard Leisering, Torsten Haferlach, Thomas Wittenberg, Christian Münzenmayer:
Automatic Detection of Relevant Regions for the Morphological Analysis of Bone Marrow Slides. Bildverarbeitung für die Medizin 2016: 272-276 - [c30]Sebastian Krappe, Thomas Wittenberg, Torsten Haferlach, Christian Münzenmayer:
Automated morphological analysis of bone marrow cells in microscopic images for diagnosis of leukemia: nucleus-plasma separation and cell classification using a hierarchical tree model of hematopoesis. Computer-Aided Diagnosis 2016: 97853C - [c29]Oguzhan Oguz, Cem Emre Akbas, Maen Mallah, Kasim Tasdemir, Ece Akhan Güzelcan, Christian Münzenmayer, Thomas Wittenberg, Aysegül Üner, A. Enis Çetin, Rengül Çetin-Atalay:
Mixture of learners for cancer stem cell detection using CD13 and H and E stained images. Digital Pathology 2016: 97910Y - 2015
- [c28]Sebastian Krappe, Christian Münzenmayer, Amrei Evert, Can Fahrettin Koyuncu, A. Enis Çetin, Torsten Haferlach, Thomas Wittenberg, Christian Held:
Dynamic Programming for the Segmentation of Bone Marrow Cells. Bildverarbeitung für die Medizin 2015: 359-364 - [c27]Sebastian Nowack, Michaela Benz, Martin Prinzen, Christian Münzenmayer, Martin Raithel, Steffen Mühldorfer, Thomas Wittenberg:
Unterscheidung von Polypen und Hintergrundgewebe in statischen Koloskopieaufnahmen. CURAC 2015: 201-204 - [c26]Sebastian Krappe, Michaela Benz, Thomas Wittenberg, Torsten Haferlach, Christian Münzenmayer:
Automated classification of bone marrow cells in microscopic images for diagnosis of leukemia: a comparison of two classification schemes with respect to the segmentation quality. Computer-Aided Diagnosis 2015: 94143I - [c25]Oguzhan Oguz, Christian Münzenmayer, Thomas Wittenberg, Aysegul Uner, A. Enis Çetin, Rengül Çetin-Atalay:
Detection of Cancer Stem Cells in microscopic images by using region covariance and codifference method. IWCIM 2015: 1-5 - 2014
- [c24]Sebastian Krappe, Katja Macijewski, Elisabeth Eismann, Tobias Ziegler, Thomas Wittenberg, Torsten Haferlach, Christian Münzenmayer:
Lokalisierung von Knochenmarkzellen für die automatisierte morphologische Analyse von Knochenmarkpräparaten. Bildverarbeitung für die Medizin 2014: 403-408 - [c23]Tobias Bergen, Peter Hastreiter, T. Xu, Christian Münzenmayer, Michael Buchfelder, Sven Schlaffer, Thomas Wittenberg:
Real-time panorama imaging of sphenoid sinuses from monocular endoscopic views: an update based on clinical experiments. CURAC 2014: 32-35 - [c22]Andreas Kuleschow, Tobias Bergen, Thomas Wittenberg, Christian Münzenmayer:
Optische Stabilisierung beim Laserabtrag in der handgeführten Kraniotomie. CURAC 2014: 135-138 - 2013
- [c21]T. Berger, Peter Hastreiter, Christian Münzenmayer, Michael Buchfelder, Thomas Wittenberg:
Image stitching of sphenoid sinuses from monocular endoscopic views. CURAC 2013: 226-229 - [c20]Tobias Bergen, Thomas Wittenberg, Christian Münzenmayer, Chi Chiung Grace Chen, Gregory D. Hager:
A graph-based approach for local and global panorama imaging in cystoscopy. Image-Guided Procedures 2013: 86711K - 2012
- [c19]Andreas Kage, Wolfgang Legal, Peter Kelm, Jörg Simon, Tobias Bergen, Christian Münzenmayer, Michaela Benz:
Automatic segmentation of lesions for the computer-assisted detection in fluorescence urology. Computer-Aided Diagnosis 2012: 83151O - 2011
- [c18]Efthymios Efstathiou, Thomas Martin Deserno, Christian Münzenmayer, Thomas Wittenberg, Tobias Bergen:
Evaluation of 3D Ultrasound Image Registration. CURAC 2011: 17-20 - [c17]Andreas Kuleschow, Tobias Bergen, Thomas Wittenberg, Christian Münzenmayer:
KLT Tracking zur schnellen Bewegungskorrektur auf Knochenoberflächen. CURAC 2011: 53-56 - [c16]Sven Friedl, B. Morgus, Andreas Kage, Christian Münzenmayer, Thomas Wittenberg, Tobias Bergen:
Landmark-based Feature Tracking for Endoscopic Motion Analysis. CURAC 2011: 57-60 - 2010
- [c15]Andreas Kage, Marcia Canto, Emmanuel Gorospe, Antonio Almario, Christian Münzenmayer:
A comparison of basic deinterlacing approaches for a computer assisted diagnosis approach of videoscope images. Computer-Aided Diagnosis 2010: 76243K - [c14]Tobias Bergen, Steffen Ruthotto, Stephan Rupp, Christian Winter, Christian Münzenmayer:
Endoscopic egomotion computation. Image Processing 2010: 76232J
2000 – 2009
- 2009
- [c13]Andreas Kage, Martin Raithel, Steffen Zopf, Thomas Wittenberg, Christian Münzenmayer:
Narrow-band imaging for the computer assisted diagnosis in patients with Barrett's esophagus. Computer-Aided Diagnosis 2009: 72603S - 2008
- [b2]Jörg Mennicke, Christian Münzenmayer, Ute Schmid:
Classifier Learning for Imbalanced Data - a Comparison of kNN, SVM, and Decision Tree Learning. VDM 2008, ISBN 978-3-8364-9223-2, pp. I-IX, 1-164 - [c12]Andreas Kage, Christian Münzenmayer, Thomas Wittenberg:
A Knowledge-Based System for the Computer Assisted Diagnosis of Endoscopic Images. Bildverarbeitung für die Medizin 2008: 272-276 - [c11]Andreas Kuleschow, Christian Münzenmayer, Klaus Spinnler:
A Fast Logical-Morphological Method to Segment Scratch - Type Objects. ICCVG 2008: 14-23 - 2006
- [b1]Christian Münzenmayer:
Color texture analysis in medical applications. University of Koblenz-Landau, 2006, ISBN 978-3-89959-484-3, pp. 1-181 - [j2]Christian Münzenmayer, Dietrich Paulus, Thomas Wittenberg:
A spectral color correction framework for medical applications. IEEE Trans. Biomed. Eng. 53(2): 254-265 (2006) - [j1]Christian Winter, Stephan Rupp, Matthias Elter, Christian Münzenmayer, Heinz Gerhäuser, Thomas Wittenberg:
Automatic Adaptive Enhancement for Images Obtained With Fiberscopic Endoscopes. IEEE Trans. Biomed. Eng. 53(10): 2035-2046 (2006) - 2005
- [c10]Christian Winter, Stephan Rupp, Christian Münzenmayer, Klaus Spinnler, Heinz Gerhäuser, Thomas Wittenberg:
Adaptive Rasterreduktion durch spektrale Ausblendung in Aufnahmen von flexiblen Endoskopen. Bildverarbeitung für die Medizin 2005: 45-49 - [c9]Christian Münzenmayer, Sylvia Wilharm, Joachim Hornegger, Thomas Wittenberg:
Illumination Invariant Color Texture Analysis Based on Sum- and Difference-Histograms. DAGM-Symposium 2005: 17-24 - 2004
- [c8]Christian Münzenmayer, Frédéric Naujokat, Steffen Mühldorfer, Brigitte Mayinger, Thomas Wittenberg:
Lineare Farbkorrektur zur automatischen Gewebeerkennung in der Endoskopie des Ösophagus. Bildverarbeitung für die Medizin 2004: 15-19 - [c7]Annika Hirsch, Christian Münzenmayer, Dietrich Paulus:
Shading-Korrektur für Endoskopische Bilder und Fundusbilder. Workshop Farbbildverarbeitung 2004: 74-82 - [c6]Jochen Michel, Vinh Hong, Dietrich Paulus, Christian Münzenmayer:
Farbkalibrierung mittels linearer Transformation. Workshop Farbbildverarbeitung 2004: 83-90 - 2003
- [c5]Christian Münzenmayer, Steffen Mühldorfer, Brigitte Mayinger, Heiko Volk, Matthias Grobe, Thomas Wittenberg:
Farbtexturbasierte optische Biopsie auf hochauflösenden endoskopischen Farbbildern des Ösophagus. Bildverarbeitung für die Medizin 2003: 191-195 - [c4]Matthias Grobe, Heiko Volk, Christian Münzenmayer, Thomas Wittenberg:
Segmentierung von überlappenden Zellen in Fluoreszenz- und Durchlichtaufnahmen. Bildverarbeitung für die Medizin 2003: 201-205 - [c3]Heiko Volk, Christian Münzenmayer, Matthias Grobe, Thomas Wittenberg:
Ein schneller Klassifikations-Ansatz für das Screening von Zervix-Proben basierend auf einer linearen Approximation des Sammon-Mappings. Bildverarbeitung für die Medizin 2003: 235-239 - 2002
- [c2]Bernhard Fröba, Christian Münzenmayer, Sandra Stecher, Thomas Wittenberg:
Augenlokalisation und -analyse in klinischen Applikationen. Bildverarbeitung für die Medizin 2002: 47-50 - [c1]Christian Münzenmayer, Heiko Volk, Christian Küblbeck, Klaus Spinnler, Thomas Wittenberg:
Multispectral Texture Analysis Using Interplane Sum- and Difference-Histograms. DAGM-Symposium 2002: 42-49
Coauthor Index
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