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Automatic Dentate Nuclei Segmentation based on Quantitative Susceptibility Maps using a Convolutional Neural Network: Application to Healthy Controls and Cerebellar Ataxia Patients

Can Intensity Augmentation Improve Generalizability of CNN-based Image Segmentation?

Feasibility study on automated white matter tract segmentation in neurosurgical pre-operative planning

Author:Daniel Güllmar  Rotraud Neumann  Jakob Wasserthal  Jan Walter  Ulf Teichgräber  Thomas Mayer  Jürgen Reichenbach  

Institution:German Cancer Research Center (DKFZ)  Jena University Hospital  Friedrich-Schiller-University Jena  

Session Type:Power Pitch  

Session Date:Wednesday, 15 May 2019  

Session Time:15:45  

Session Name:Pitch: Brain Tumor  

Program Number:0895  

Presentation Time:15:45   

Room Number:Power Pitch Theater A - Exhibition Hall  

Computer Number:

Feasibility study on automated white matter tract segmentation in neurosurgical pre-operative planning

Author:Daniel Güllmar  Rotraud Neumann  Jakob Wasserthal  Jan Walter  Ulf Teichgräber  Thomas Mayer  Jürgen Reichenbach  

Institution:German Cancer Research Center (DKFZ)  Jena University Hospital  Friedrich-Schiller-University Jena  

Session Type:Power Pitch Poster  

Session Date:Wednesday, 15 May 2019  

Session Time:16:45  

Session Name:Poster: Brain Tumor  

Program Number:0895  

Presentation Time:16:45   

Room Number:Power Pitch Theater A - Exhibition Hall  

Computer Number:Plasma 5  

In vivo assessment of the anisotropy of R2* maps in white matter