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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
About me
About me
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Posts
Future Blog Post
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Blog Post number 4
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Blog Post number 3
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Blog Post number 2
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Blog Post number 1
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portfolio
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publications
Local volume fraction distributions of axons, astrocytes, and myelin in deep subcortical white matter
Published in NeuroImage, 2018
This paper aims to statistically describe histologically stained white matter brain sections to subsequently inform and validate diffusion MRI techniques.
Recommended citation: Coelho et al., Local volume fraction distributions of axons, astrocytes, and myelin in deep subcortical white matter, NeuroImage, Volume 179, 2018, Pages 275-287. http://santiagocoelho.github.io/files/paper1.pdf
Resolving degeneracy in diffusion MRI biophysical model parameter estimation using double diffusion encoding
Published in Magnetic Resonance in Medicine, 2019
This paper shows that incorporating double diffusion encoding (DDE) measurements help resolve the degeneracy in the parameter estimation for the Standard Model of diffusion in white matter for a Watson fiber distribution function (ODF). This is also the case for an arbitrary ODF, as was later proved.
Recommended citation: Coelho et al. Resolving degeneracy in diffusion MRI biophysical model parameter estimation using double diffusion encoding. Magn Reson Med. 2019; 82: 395– 410. http://santiagocoelho.github.io/files/paper2.pdf
Optimal Experimental Design for Biophysical Modelling in Multidimensional Diffusion MRI
Published in MICCAI, 2019
This paper shows that combining LTE and PTE maximizes precision in the estimation of the tensors in the cumulant expansion.
Recommended citation: Coelho et al. (2019) Optimal Experimental Design for Biophysical Modelling in Multidimensional Diffusion MRI. In: Shen D. et al. (eds) Medical Image Computing and Computer Assisted Intervention – MICCAI 2019. http://santiagocoelho.github.io/files/paper3.pdf
Reproducibility of the Standard Model of diffusion in white matter on clinical MRI systems
Published in NeuroImage, 2022
This paper performs a protocol optimization for the standard model of diffusion in white matter and assesses its reproducibility on two different scanners.
Recommended citation: Coelho et al. (2022) Reproducibility of the Standard Model of diffusion in white matter on clinical MRI systems – NeuroImage. http://santiagocoelho.github.io/files/paper4.pdf
talks
Diffusion MRI for White Matter Microstructure Characterisation: beyond Single Diffusion Encoding
Published:
Invited talk for the Department of Electronic and Electrical Engineering, Faculty of Engineering, National University of La Plata.
How do we know we measure the tissue parameters, not the prior?
Published:
Oral presentation at the International Society for Magnetic Resonance in Medicine (ISMRM) annual meeting.
Brain microstructure: Biophysical models
Published:
Brain microstructure educational session at the 2021 ISMRM annual meeting (16th May 2021, virtual).
Biophysical modeling of diffusion in brain tissue: theory and parameter estimation
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Educational talk at the 2021 ISMRM Diffusion Study Group trainee day (9th December 2021, virtual).
Translating the Standard Model of diffusion in white matter into the clinic
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Invited talk for the Department of Radiology, New York University School of Medicine. Research Seminar, part of Radiology Research Forum and Vilcek Seminars in Biomedical Imaging.
Fast acquisitions for mean kurtosis and microscopic fractional anisotropy
Published:
Oral presentation at the International Society for Magnetic Resonance in Medicine (ISMRM) annual meeting.
Rotational Invariants of the Cumulant Expansion (RICE)
Published:
Oral presentation at the International Society for Magnetic Resonance in Medicine (ISMRM) annual meeting.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.