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Bayesian Experimental Design of MRI Sequences

MPS-Authors
/persons/resource/persons84205

Seeger,  M
Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

/persons/resource/persons84109

Nickisch,  H
Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

/persons/resource/persons84145

Pohmann,  R
Former Department MRZ, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

/persons/resource/persons84193

Schölkopf,  B
Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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https://www.researchgate.net/publication/267226488_Bayesian_Experimental_Design_of_MRI_Sequences
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Citation

Seeger, M., Nickisch, H., Pohmann, R., & Schölkopf, B. (2008). Bayesian Experimental Design of MRI Sequences. Talk presented at Workshop on Machine Learning: Approaches to Representational Learning and Recognition in Vision. Frankfurt a.M., Germany. 2008-11-28.


Cite as: https://hdl.handle.net/21.11116/0000-0003-A120-2
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