Presenter: Steffen Bollmann, CAI

Topic: ISMRM machine learning workshop Best-of

  • Machine Learning Methods for Reconstruction of Imaging Data
    • AUTOmated Pulse SEQuence Generation (AUTOSEQ) Using Bayesian Reinforcement Learning in an MRI Physics Simulation Environment
    • AUTOMAP (https://www.nature.com/articles/nature25988)
    • Data-Cycle-Consistent Adversarial Networks for High-Quality Reconstruction of Undersampled MRI Data
    • SCAN-SPECIFIC DEEP LEARNING WITH ROBUST ARTIFICIAL-NEURAL-NETWORKS FOR K-SPACE INTERPOLATION (RAKI) FOR IMPROVED PARALLEL IMAGING
    • Motion correction in MRI using deep learning
  • Post-Processing Methods
    • Off-ResNet: Deep Residual Network for Non-Stationary Off-Resonance Artifact Correction
    • Accelerated Multi-Shot EPI Through Machine Learning & Joint Reconstruction
    • Machine Learning in Medical Image Registration
  • Clinical Application of Machine Learning

Bayesian Deep Learning: Model Uncertainty Generation in MR Image Segmentation        

About CAI Seminar Series

The perfect opportunity to attend cutting-edge research presentations involving CAI researchers or collaborators, each Tuesday at 9:30am in the CAI Seminar Room, entry via CAI main doors, facing Wep Harris oval (see map).

If you would like weekly email notification for the seminar series or are interested in presenting, please contact Dr Lorine Wilkinson.

Venue

Building 57, University of Queensland St Lucia
Room: 
Level 2 Seminar Room