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2010 – 2019
- 2010
[j2]Bianka Goetze, Karl-Friedrich Schmidt, Konrad Lehmann, Wilko Detlev Altrock, Eckart D. Gundelfinger, Siegrid Löwel:
Vision and visual cortical maps in mice with a photoreceptor synaptopathy: Reduced but robust visual capabilities in the absence of synaptic ribbons. NeuroImage 49(2): 1622-1631 (2010)
2000 – 2009
- 2003
- [j1]Rainer Pielot, Michael Scholz, Klaus Obermayer, Henning Scheich, Eckart D. Gundelfinger, Andreas Hess:
A new point-based warping method for enhanced and simplified analysis of functional brain image data. NeuroImage 19(4): 1716-1729 (2003) - 2002
- [c8]Rainer Pielot, Michael Scholz, Klaus Obermayer, Eckart D. Gundelfinger, Andreas Hess:
Comparison of Different 3D Edge Detection Methods to Define Landmarks for Point-Based Warping in Autoradiographic Brain Imaging. Bildverarbeitung für die Medizin 2002: 318-321 - [c7]Rainer Pielot, Michael Scholz, Klaus Obermayer, Eckart D. Gundelfinger, Andreas Hess:
Performance of 3D Landmark Detection Methods for Point-Based Warping in Autoradiographic Brain Imaging. SSIAI 2002: 269-273 - 2001
- [c6]Rainer Pielot, Michael Scholz, Klaus Obermayer, Eckart D. Gundelfinger, Andreas Hess:
3D edge detection to define landmarks for point-based warping in brain imaging. ICIP (2) 2001: 343-346 - 2000
- [c5]Rainer Pielot, Michael Scholz, Klaus Obermayer, Eckart D. Gundelfinger, Andreas Hess:
A New Approach to Define Landmarks for Point-Based Warping in Brain Imaging. Bildverarbeitung für die Medizin 2000: 28-32 - [c4]Rainer Pielot, Michael Scholz, Klaus Obermayer, Eckart D. Gundelfinger, Andreas Hess:
Point-based warping with optimized weighting factors of displacement vectors. Image Processing 2000 - [c3]Rainer Pielot, Eckart D. Gundelfinger, Andreas Hess, Michael Scholz, Klaus Obermayer:
Warping with Optimized Weighting Factors of Displacement Vectors - A New Method to Reduce Inter-Individual Variations in Brain Imaging. SSIAI 2000: 264-268
1990 – 1999
- 1999
- [c2]Rainer Pielot, Michael Scholz, Klaus Obermayer, Eckart D. Gundelfinger, Andreas Hess:
Optimiertes Warping durch gewichtete Summen von Verschiebungsvektoren - eine neue Methode zur Reduktion von interindividuellen Variabilitäten von Hirndaten. Bildverarbeitung für die Medizin 1999: 417-421 - 1996
- [c1]Klaudia Lohmann, Sabine Staak, Eckart D. Gundelfinger, Andreas Hess:
Spatial based polynomial 2D-warping-a possibility to reduce interindividual variations in functional neuroimaging? ICIP (3) 1996: 739-742
Coauthor Index
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