Browse All

Current Filters

CLEAR FILTER x

TITLE

3D brain MRI synthesis utilizing 2D SPADE-GAN and 3D CNN architecture

Deep Learning with Perceptual Loss Enables Super-Resolution in 7T Diffusion Images of the Human Brain

Longitudinal Multiple Sclerosis Lesion Segmentation Using Pre-activation U-Net

Mapping human brain development at new spatial resolutions using deep learning and high-resolutionquantitative MRI

A Mask Guided Attention Generative Adversarial Network for Contrast-enhanced T1-weight MR Synthesis

Medical Image Registration Using Deep Learning Techniques Applied to Pediatric Magnetic Resonance Imaging (MRI) Brain Scans

Residual U-net for denoising 3D low field MRI

Author:Tobias Senft  Reina Ayde  Marco Fiorito  Najat Salameh  Mathieu Sarracanie  

Session Type:Digital Poster  

Session Date:Wednesday, 11 May 2022  

Topic:Module 29: Processing & Analysis  

Session Name:Imaging Processing & Analysis  

Program Number:1971  

Room Session:Exhibition Hall:S8 & S9  

Institution:University of Basel  

Retrospective correction of B1 field inhomogeneities in T2w 7T prostate patient data

Single-image superresolution of hyperpolarized13C spectroscopic images

Subject classification based on functional connectivity and white matter microstructure in a rat model of Alzheimer’s using machine learning