Juliane Dinse

Orcid: 0000-0001-9908-8724

According to our database1, Juliane Dinse authored at least 12 papers between 2011 and 2019.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2019
Depth-dependent intracortical myelin organization in the living human brain determined by in vivo ultra-high field magnetic resonance imaging.
NeuroImage, 2019

2016
A subject-specific framework for in vivo myeloarchitectonic analysis using high resolution quantitative MRI.
NeuroImage, 2016

Identifying Intracortical Partial Voluming Effects Using Cortical Surface Normals in Quantitative MRI T1 Maps Sensitive to Microstructure.
Proceedings of the Bildverarbeitung für die Medizin 2016 - Algorithmen - Systeme, 2016

2015
Multi-contrast multi-scale surface registration for improved alignment of cortical areas.
NeuroImage, 2015

A cytoarchitecture-driven myelin model reveals area-specific signatures in human primary and secondary areas using ultra-high resolution in-vivo brain MRI.
NeuroImage, 2015

2014
Anatomically motivated modeling of cortical laminae.
NeuroImage, 2014

A computational framework for ultra-high resolution cortical segmentation at 7 Tesla.
NeuroImage, 2014

2013
Multi-modal Surface-Based Alignment of Cortical Areas Using Intra-cortical T1 Contrast.
Proceedings of the Multimodal Brain Image Analysis - Third International Workshop, 2013

A Histology-Based Model of Quantitative T1 Contrast for In-vivo Cortical Parcellation of High-Resolution 7 Tesla Brain MR Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Quantifying Differences Between Primary Cortical Areas in Humans Based on Laminar Profiles in In-Vivo MRI Data.
Proceedings of the Bildverarbeitung für die Medizin 2013 - Algorithmen - Systeme, 2013

2011
CMView: Interactive contact map visualization and analysis.
Bioinform., 2011

Extracting the Fine Structure of the Left Cardiac Ventricle in 4D CT Data - A Semi-Automatic Segmentation Pipeline.
Proceedings of the Bildverarbeitung für die Medizin 2011: Algorithmen - Systeme, 2011


  Loading...