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).

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Venue

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