Probabilistic tractography for complex fiber orientations with automatic model selection: A tool to study structural connectivity in stroke patients

No abstract is available for this paper.

• Publication year

  2018

• Venue

  Unknown venue

• Publication date

  2018-04-02

• Fields of study

  Medicine, Computer Science, Engineering, History

• Identifiers
  DOI 10.1007/978-3-319-73839-0_9
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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  2019influential reference
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  2017influential reference
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  2017influential reference
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  2016influential reference
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  2016influential reference
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  2015cited by this paper
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  2015cited by this paper
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  2014cited by this paper
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  2014cited by this paper
• Basic Principles of EEG and MEG Analysis

  2014influential reference
• Clinical applications for diffusion magnetic resonance imaging in radiotherapy.

  2014cited by this paper
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  2013cited by this paper
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  2013influential reference
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• Model‐based analysis of multishell diffusion MR data for tractography: How to get over fitting problems

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  2011influential reference
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  2010cited by this paper
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  2010influential reference
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  2010cited by this paper
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  2009cited by this paper
• Worldwide stroke incidence and early case fatality reported in 56 population-based studies: a systematic review.

  2009cited by this paper
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  2008cited by this paper
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  2008cited by this paper
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  2008cited by this paper
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  2007cited by this paper
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  2007cited by this paper
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  2006cited by this paper
• Camino: Open-Source Diffusion-MRI Reconstruction and Processing

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  2005cited by this paper
• Factors Influencing Stroke Survivors' Quality of Life During Subacute Recovery

  2005cited by this paper
• Mapping complex tissue architecture with diffusion spectrum magnetic resonance imaging

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  2004cited by this paper
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  2004cited by this paper
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  2002cited by this paper
• Diffusion‐tensor MRI: theory, experimental design and data analysis – a technical review

  2002cited by this paper
• Fiber tracking: principles and strategies – a technical review

  2002cited by this paper
• Detection and modeling of non‐Gaussian apparent diffusion coefficient profiles in human brain data

  2002influential reference
• Diffusion tensor imaging: Concepts and applications

  2001cited by this paper
• The physical basis of diffusion-weighted MRI.

  2001influential reference
• Akaike's Information Criterion and Recent Developments in Information Complexity.

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• In vivo fiber tractography using DT‐MRI data

  2000cited by this paper
• Diffusion magnetic resonance imaging: Its principle and applications

  1999cited by this paper
• Independent Component Analysis of Electroencephalographic Data

  1995cited by this paper
• MR diffusion tensor spectroscopy and imaging.

  1994cited by this paper
• Estimation of the effective self-diffusion tensor from the NMR spin echo.

  1994cited by this paper
• Brain Electric Microstates and Cognition: The Atoms of Thought

  1990cited by this paper
• Spin diffusion measurements : spin echoes in the presence of a time-dependent field gradient

  1965cited by this paper
• Effects of Diffusion on Free Precession in Nuclear Magnetic Resonance Experiments

  1954cited by this paper
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  year unknowninfluential reference
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