Hochschulschrift
Local and Global Consistency Measures in Intensity-based Medical Image Registration
- Alternative title
-
Lokale und globale Konsistenzmaßnahmen in der Intensity-basierten medizinischen Bildregistrierung
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
München, Technische Universität München, Diss., 2015
- Classification
-
Informatik
- Event
-
Veröffentlichung
- (where)
-
München
- (who)
-
Universitätsbibliothek der TU München
- (when)
-
2015
- Creator
-
Yigitsoy, Mehmet
- Contributor
- URN
-
urn:nbn:de:bvb:91-diss-20150924-1232494-1-7
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:54 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Object type
- Hochschulschrift
Associated
- Yigitsoy, Mehmet
- Navab, Nassir
- Hornegger, Joachim
- Universitätsbibliothek der TU München
Time of origin
- 2015
Other Objects (12)
Random Fields for Image Registration
Ultrasound Mosaicing and Motion Modeling : Applications in Medical Image Registration
2D-3D Registration of Vascular Images : Towards 3D-Guided Catheter Interventions
Information processing in computer-assisted interventions : first international conference ; proceedings
Human-Computer Interaction for Medical Education and Training
X-Ray Tensor Tomography : From Two-Dimensional Directional X-Ray Dark-Field Imaging to Three Dimensions
Ultrasound Confidence Maps and Applications in Medical Image Processing
Intelligent Robotic Sonography: Adaptive, Dynamic and Learning-Powered Image Acquisition
Random Forests for Medical Applications
3D Image Processing for Structural Analysis of Macromolecules Using Cryo-Electron Tomography
Deep Learning based Clinical Decision Support through Strong Differentiable Domain Priors
Contributions to Real-time Visual Tracking and Live Environment Modeling for Augmented Reality Applications : Design and Implementation of New Methods and Evaluations on Real Image-based Ground Truth Data
Random Fields for Image Registration
Ultrasound Mosaicing and Motion Modeling : Applications in Medical Image Registration
2D-3D Registration of Vascular Images : Towards 3D-Guided Catheter Interventions
Information processing in computer-assisted interventions : first international conference ; proceedings
Human-Computer Interaction for Medical Education and Training
X-Ray Tensor Tomography : From Two-Dimensional Directional X-Ray Dark-Field Imaging to Three Dimensions
Ultrasound Confidence Maps and Applications in Medical Image Processing
Intelligent Robotic Sonography: Adaptive, Dynamic and Learning-Powered Image Acquisition
Random Forests for Medical Applications
3D Image Processing for Structural Analysis of Macromolecules Using Cryo-Electron Tomography
Deep Learning based Clinical Decision Support through Strong Differentiable Domain Priors
Contributions to Real-time Visual Tracking and Live Environment Modeling for Augmented Reality Applications : Design and Implementation of New Methods and Evaluations on Real Image-based Ground Truth Data
Random Fields for Image Registration
Ultrasound Mosaicing and Motion Modeling : Applications in Medical Image Registration
2D-3D Registration of Vascular Images : Towards 3D-Guided Catheter Interventions
Information processing in computer-assisted interventions : first international conference ; proceedings
Human-Computer Interaction for Medical Education and Training
X-Ray Tensor Tomography : From Two-Dimensional Directional X-Ray Dark-Field Imaging to Three Dimensions
Ultrasound Confidence Maps and Applications in Medical Image Processing
Intelligent Robotic Sonography: Adaptive, Dynamic and Learning-Powered Image Acquisition
Random Forests for Medical Applications
3D Image Processing for Structural Analysis of Macromolecules Using Cryo-Electron Tomography
Deep Learning based Clinical Decision Support through Strong Differentiable Domain Priors