The quantitative MRI for Medical applications group (qMRI-MA) created on the base of the Department of Physics and Engineering at ITMO University is launching the project "Advanced Quantitative Technologies in Magnetic Resonance Imaging for Determining the Stages of Inflammation and Fibrosis as Disease Markers". The main goal of the project is to develop quantitative MRI methods and provide translational support for their use in clinical practice. One of the objectives of the project is to develop post-processing methods based on deep learning for obtaining quantitative metrics from MR images. The project will be led by Lead Scientist Dr. David Bendan, CNRS Research Director, Head of the SIMS Group (Spectroscopy and Imaging of the Musculoskeletal System) at the Center for Magnetic Resonance Imaging in Biology and Medicine (CRMBM) at the University of Ex- Marseille (Marseille, France).
Besides, at the Department of Physics and Engineering machine learning methods are now being introduced into current research projects, for example, for solving problems of inverse design of photonic structures, post-processing of NMR spectroscopy data, various optimization problems in optics, etc.
Within the framework of these projects, a post-doc position has been opened in the field of application of machine learning methods in physics and medical diagnostics.