STI and DTI: Tensor Characteristics and a machine-learning approach to estimate 
susceptibility tensors

Gkotsoulias, Dimitrios; Metere, Riccardo; Eichner, Cornelius; Schlumm, Torsten; Anwander, Alfred; Jäger, Carsten; Pampel, André; Crockford, Catherine; Roman, Wittig; Liu, Chunlei; Su, Yanzhu; Möller, Harald E.

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STI and DTI: Tensor Characteristics and a machine-learning approach to estimate susceptibility tensors

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Gkotsoulias, Dimitrios
Methods and Development Unit Nuclear Magnetic Resonance, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Eichner, Cornelius
Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Schlumm, Torsten
Methods and Development Unit Nuclear Magnetic Resonance, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Anwander, Alfred
Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Jäger, Carsten
Department Neurophysics (Weiskopf), MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Pampel, André
Methods and Development Unit Nuclear Magnetic Resonance, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Möller, Harald E.
Methods and Development Unit Nuclear Magnetic Resonance, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Gkotsoulias, D., Metere, R., Eichner, C., Schlumm, T., Anwander, A., Jäger, C., et al. (2020). STI and DTI: Tensor Characteristics and a machine-learning approach to estimate susceptibility tensors. Poster presented at Fachbeirat 2020, Virtual.

Cite as: https://hdl.handle.net/21.11116/0000-0007-1F07-0

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