Browse All

Current Filters

CLEAR FILTER x

TITLE

Accurate Cerebellum segmentation using a 3D Convolutional Neural Network and fully connected CRF

Author:Nina Jacobsen  Andreas Deistung  Dagmar Timmann  Jürgen Reichenbach  Daniel Güllmar  

Author Institution:Essen University Hospital  Jena University Hospital  

Session Type:Traditional Poster  

Session Date:Thursday, 21 June 2018  

Session Time:08:00  

Session:Machine Learning for Tissue Segmentation & Classification  

Program Number:2732  

Presentation Time:

Room Number:Exhibition Hall 2726-2738  

Computer Number:

Automated Segmentation of Cerebellar Nuclei from Ultra-High-Field Quantitative Susceptibility Maps with Multi-Atlas Shape Fusion

Multi-modal multi-centre MRI study of rare spinocerebellar ataxia, type 14

Non-invasive Characterization of the Cerebellar Nuclei in Degenerative Cerebellar Ataxias (SCA3, SCA6) with Quantitative Susceptibility Mapping (QSM) at 3 Tesla

Structural & Functional MRI of the Human Cerebellar Nuclei

Author:Dagmar Timmann  

Author Institution:

Session Type:Member-Initiated Symposium  

Session Date:Monday, 18 June 2018  

Session Time:13:45  

Session:Zooming into the "Little Brain": Advances in Cerebellar Imaging  

Program Number:

Presentation Time:14:15  

Room Number:W05/06  

Computer Number: