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
- QSM using Deep Learning (https://www.biorxiv.org/content/early/2018/03/07/278036)
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