J
Juliane Dinse
Researcher at Max Planck Society
Publications - 24
Citations - 939
Juliane Dinse is an academic researcher from Max Planck Society. The author has contributed to research in topics: Segmentation & Random walker algorithm. The author has an hindex of 10, co-authored 24 publications receiving 744 citations. Previous affiliations of Juliane Dinse include Leipzig University & Otto-von-Guericke University Magdeburg.
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Journal ArticleDOI
Anatomically motivated modeling of cortical laminae
Miriam Waehnert,Juliane Dinse,Marcel Weiss,Markus Streicher,P. Waehnert,Stefan Geyer,Robert Turner,Pierre-Louis Bazin +7 more
TL;DR: A novel equi-volume model is introduced that derives from work by Bok (1929), which argues that cortical segments preserve their volume, while layer thickness changes to compensate cortical folding, to generate a three-dimensional well-adapted undistorted coordinate system of the cortex.
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A computational framework for ultra-high resolution cortical segmentation at 7 Tesla
TL;DR: The approach combines multi-object topology-preserving deformable models with shape and intensity atlases to encode prior anatomical knowledge in a computationally efficient algorithm.
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A cytoarchitecture-driven myelin model reveals area-specific signatures in human primary and secondary areas using ultra-high resolution in-vivo brain MRI.
Juliane Dinse,Juliane Dinse,N. Härtwich,Miriam Waehnert,Christine L. Tardif,Alexander Schäfer,Stefan Geyer,Bernhard Preim,Robert Turner,Pierre-Louis Bazin +9 more
TL;DR: A novel approach for modelling laminar myelin patterns in the human cortex in brain MR images on the basis of known cytoarchitecture is presented, and for the first time, it is possible to estimate intracortical contrast visible in quantitative ultra-high resolution MR images in specific primary and secondary cy toarchitectonic areas.
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A subject-specific framework for in vivo myeloarchitectonic analysis using high resolution quantitative MRI.
Miriam Wähnert,Juliane Dinse,Juliane Dinse,Andreas Schäfer,Stefan Geyer,Pierre-Louis Bazin,Robert Turner,Christine L. Tardif +7 more
TL;DR: An integrated framework for the analysis of intracortical structure, composed of novel image processing tools designed for high resolution cortical images, is presented and it is demonstrated that the equivolume intrusion surfaces and transcortical profiles best reflect the laminar structure of the cortex in areas of curvature.
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Multi-contrast multi-scale surface registration for improved alignment of cortical areas.
Christine L. Tardif,Andreas Schäfer,Miriam Waehnert,Juliane Dinse,Juliane Dinse,Robert Turner,Pierre-Louis Bazin +6 more
TL;DR: A new symmetric diffeomorphic multi-contrast multi-scale surface registration (MMSR) technique that works with partially inflated surfaces in the level-set framework and generates a more precise alignment of cortical surface curvature in comparison to two widely recognized surface registration algorithms.