Browse All

Current Filters

CLEAR FILTER x

TITLE

A Deep Learning Accelerated MRI Reconstruction Model's Dependence on Training Data Distribution

BoneMRI of the cervical spine: Deep learning-based radiodensity contrast generation for selective visualization of osseous structures

Highly accelerated cardiac imaging using a high-density 72 channel local receiver array at 3 Tesla

Reconstructing Lesions not seen during training using a Recurrent Inference Machine

Author:Bob Hoek  Kai Lønning  Hanneke Hulst  Frans Vos  Matthan Caan  

Institution:Academic Medical Center  Delft University of Technology  Netherlands Cancer Institute  VU University Medical Center  Spinoza Centre for Neuroimaging  

Session Type:Power Pitch  

Session Date:Tuesday, 14 May 2019  

Session Time:13:30  

Session Name:Pitch: Machine Learning Unleashed 1  

Program Number:0475  

Presentation Time:13:30   

Room Number:Power Pitch Theater B - Exhibition Hall  

Computer Number:

Reconstructing Lesions not seen during training using a Recurrent Inference Machine

Regional Heterogeneity of Errors in Myocardial Perfusion Quantification Using Bolus-Based MRI

Author:Johannes Martens  Sabine Panzer  Jeroen van den Wijngaard  Maria Siebes  Laura Schreiber  

Institution:Academic Medical Center  University Hospital Wuerzburg  

Session Type:Digital Poster  

Session Date:Monday, 13 May 2019  

Session Time:17:00  

Session Name:Cardiovascular Emerging Methods  

Program Number:2185  

Presentation Time:17:00   

Room Number:Exhibition Hall  

Computer Number:Computer 61