New for 2024, the tutorial lectures are featured in the closing plenary session on Thursday afternoon, April 11.
Intro to Machine / Deep Learning and Applications for MRI & NMR
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Juan Eugenio Iglesias (Laboratory for Ex vivo Modeling of Neuroanatomy (LEMoN), A. A. Martinos Center for Biomedical Imaging, Associate Professor of Radiology, MGH & Harvard Medical School), Machine Learning for Magnetic Resonance: from Bayesian Methods to Modern Neural Networks for Large-Scale Analysis of MRI Data
- D. Flemming Hansen (University College London), NMR Use Cases for Machine / Deep Learning
Early Morning Lecture Series (for Students & ALL who wish to learn!), 07:00-07:50 Mon-Thur
Warren S. Warren (Duke University), Hyperpolarization