Relevant bibliographies by topics / Microstructure informed tractography

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Microstructure informed tractography'

Author: Grafiati
Published: 11 March 2023
Last updated: 31 July 2025

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Journal articles on the topic "Microstructure informed tractography"

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Ocampo-Pineda, Mario, Simona Schiavi, François Rheault, et al. "Hierarchical Microstructure Informed Tractography." Brain Connectivity 11, no. 2 (2021): 75–88. http://dx.doi.org/10.1089/brain.2020.0907.

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Girard, Gabriel, Alessandro Daducci, Laurent Petit, et al. "AxTract: Toward microstructure informed tractography." Human Brain Mapping 38, no. 11 (2017): 5485–500. http://dx.doi.org/10.1002/hbm.23741.

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Daducci, Alessandro, Alessandro Dal Palu, Alia Lemkaddem, and Jean-Philippe Thiran. "COMMIT: Convex Optimization Modeling for Microstructure Informed Tractography." IEEE Transactions on Medical Imaging 34, no. 1 (2015): 246–57. http://dx.doi.org/10.1109/tmi.2014.2352414.

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Battocchio, Matteo, Simona Schiavi, Maxime Descoteaux, and Alessandro Daducci. "Bundle-o-graphy: improving structural connectivity estimation with adaptive microstructure-informed tractography." NeuroImage 263 (November 2022): 119600. http://dx.doi.org/10.1016/j.neuroimage.2022.119600.

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Grinberg, Farida, Ivan I. Maximov, Ezequiel Farrher, and N. Jon Shah. "Microstructure-informed slow diffusion tractography in humans enhances visualisation of fibre pathways." Magnetic Resonance Imaging 45 (January 2018): 7–17. http://dx.doi.org/10.1016/j.mri.2017.08.007.

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Schiavi, Simona, Po-Jui Lu, Matthias Weigel, et al. "Bundle myelin fraction (BMF) mapping of different white matter connections using microstructure informed tractography." NeuroImage 249 (April 2022): 118922. http://dx.doi.org/10.1016/j.neuroimage.2022.118922.

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Schomburg, Helen, and Thorsten Hohage. "Formulation and Efficient Computation of ${\ell}_{\textsf{1}}$ - and Smoothness Penalized Estimates for Microstructure-Informed Tractography." IEEE Transactions on Medical Imaging 38, no. 8 (2019): 1899–909. http://dx.doi.org/10.1109/tmi.2019.2902787.

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Obaid, Sami, François Rheault, Manon Edde, et al. "Structural Connectivity Alterations in Operculo-Insular Epilepsy." Brain Sciences 11, no. 8 (2021): 1041. http://dx.doi.org/10.3390/brainsci11081041.

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Operculo-insular epilepsy (OIE) is an under-recognized condition that can mimic temporal and extratemporal epilepsies. Previous studies have revealed structural connectivity changes in the epileptic network of focal epilepsy. However, most reports use the debated streamline-count to quantify ‘connectivity strength’ and rely on standard tracking algorithms. We propose a sophisticated cutting-edge method that is robust to crossing fibers, optimizes cortical coverage, and assigns an accurate microstructure-reflecting quantitative conectivity marker, namely the COMMIT (Convex Optimization Modeling
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Caron, Bradley, Nicholas Port, and Franco Pestilli. "Advanced white matter mapping in the subconcussive brain." Neurology 91, no. 23 Supplement 1 (2018): S15.2—S15. http://dx.doi.org/10.1212/01.wnl.0000550693.00184.ee.

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The topic of behavioral and structural deficits caused by concussions is an increasingly important 1 in the related research fields. With an incidence rate of 2.9 competition concussions per 1,000 athlete exposures (NCAA 2013) in collegiate football, the concussion risk to athletes is significant. However, even subconcussive blows, or blows that do not lead to a concussion diagnosis, appear to create health risks for athletes. These impacts appear to lead to significant neural changes, the severity of which may depend on the number of hits (McAllister et al., 2014). An anatomically informed, p
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Daducci, Alessandro, Alessandro Dal Palú, Maxime Descoteaux, and Jean-Philippe Thiran. "Microstructure Informed Tractography: Pitfalls and Open Challenges." Frontiers in Neuroscience 10 (June 6, 2016). http://dx.doi.org/10.3389/fnins.2016.00247.

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Dissertations / Theses on the topic "Microstructure informed tractography"

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Battocchio, Matteo. "Adaptive microstructure-informed tractography for accurate brain connectivity analyses." Doctoral thesis, 2022. https://hdl.handle.net/11562/1076527.

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Human brain has been subject of deep interest for centuries, given it's central role in controlling and directing the actions and functions of the body as response to external stimuli. The neural tissue is primarily constituted of neurons and, together with dendrites and the nerve synapses, constitute the gray matter (GM) which plays a major role in cognitive functions. The information processed in the GM travel from one region to the other of the brain along nerve cell projections, called axons. All together they constitute the white matter (WM) whose wiring organization still remains challen
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Book chapters on the topic "Microstructure informed tractography"

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Persson, Sanna, Xinyi Wan, and Rodrigo Moreno. "Randomly COMMITting: Iterative Convex Optimization for Microstructure-Informed Tractography." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-86920-4_5.

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Conference papers on the topic "Microstructure informed tractography"

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Hernandez-Gutierrez, Erick, Alonso Ramirez-Manzanares, Jose L. Marroquin, Mario Ocampo-Pineda, and Alessandro Daducci. "Cuda Parallelization of Commit Framework for Efficient Microstructure-Informed Tractography." In 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI). IEEE, 2019. http://dx.doi.org/10.1109/isbi.2019.8759098.

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Li, Sipei, Jianzhong He, Tengfei Xue, et al. "DEEPRGVP: A novel microstructure-informed supervised contrastive learning framework for automated identification of the retinogeniculate pathway using dMRI tractography." In 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI). IEEE, 2023. http://dx.doi.org/10.1109/isbi53787.2023.10230833.

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