SyntheticMR
Johanna Alfredsson is a Clinical Research Scientist at SyntheticMR, where responsibilities include developing an automatic segmentation and classification algorithm for identifying lesions from Multiple Sclerosis in quantitative MRI data. Prior to this role, Johanna gained experience at Saab as a Software Developer intern, initiating a machine learning algorithm for terrain classification and creating an automatic steering algorithm for a quadrocopter during two separate summer internships. Johanna holds a degree in Medicinska modeller, Medicinsk teknik och fysik from Linköping University, attended from 2013 to 2018.
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SyntheticMR
SyntheticMR AB develops and markets innovative software solutions for Magnetic Resonance Imaging (MRI) that supports a faster and more precise diagnosis of patients worldwide. Join us for the latest updates on news, events and clinical research involving our products. SyntheticMR’s unique SyMRI technology measures the absolute properties of the brain and delivers adjustable contrast images, automatic biomarker segmentation and quantitative data in a single fast scan. SyMRI is designed to help you save valuable time by reducing scan time, all the while aiding as an objective decision support for diagnosis and patient follow-ups. SyMRI offers a fast and standardized protocol with clinically relevant quantitative data for more robust assessments of patients. SyntheticMR AB is headquartered in Linköping, Sweden with sales representation in the USA, Japan and India. The company was founded in 2007 and is listed on the AktieTorget exchange in Stockholm, Sweden.