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Cross Modalities Image SynthesisContact Person(s): Shadi Albarqouni |
Abstract
One of the interesting talks in the Generative and Discriminative Learning for Medical Imaging Tutorial in the last MICCAI 2014 was presented by Jerry Prince regarding Image Synthesis and cross-modalities, motivating us to work on such a challenging topic. In our project for MLMI course, we would like to implement kind of Supervised Dictionary Learning incorporating the global consistency, discriminative labeling, and the Transformation-invariant.Team
Contact Person(s)
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Working Group
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Location
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Technische Universität München Institut für Informatik / I16 Boltzmannstr. 3 85748 Garching bei München Tel.: +49 89 289-17058 Fax: +49 89 289-17059 |
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internal project page
Please contact Shadi Albarqouni for available student projects within this research project.
Project Phases
| Phase | Period | Conducted by | Materials | Results so far |
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| Sparse Coding and Dictionary Learning | 06-14 Nov | all | Slides I Slides II | |
| Locally-constrained Linear Coding | 14 Nov - 10 Dec | Christoph & Chandra | Paper: CVPR 2010 Code | Mid-term Presentation |
| Label Consistant/Discriminative Dictionary Learning | 10 Dec - 18 Dec | Christoph & Chandra | Paper: BMVC 2013 Paper: CVPR 2011 Code | |
| Transformation Invariant Dictionary Learning | - | - | Paper: ICASSP 2014 | |
| Bonus: Mapping | 18 Dec - 23 Jan | Christoph & Chandra | Linear Mapping Iterative Linear Mapping TBA | Final Report |
What you are going to learn:
- Sparse Coding and Dictionary Learning
- Figure out the global consistency with different similarity measures.
- Figure out rotation and shift invariant dictionary
- ...
Programming Language
- MATLAB
