EOS imaging
Benjamin Aubert has a strong background in medical image analysis and research. Benjamin started their career at ARTS as a Computer Scientist, developing software for medical image processing and visualization applications. Benjamin then joined Arts et Métiers ParisTech as a Research Engineer, where they focused on geometrical modeling, statistical methods, and 3D reconstruction. Benjamin later worked at the Laboratoire d'Imagerie et d'Orthopédie, where they served as a Ph.D. and Research Assistant, specializing in automated 3D spine reconstruction from biplanar radiographs. Currently, they are the Lead Medical Image Analysis Scientist at EOS imaging, where they actively contribute to algorithm design and implementation using statistical and Deep Learning methods.
Benjamin Aubert's education history includes a Ph.D. in Medical Image Analysis using shape models and deep learning from École de technologie supérieure, completed from 2014 to 2020. Prior to that, they obtained an M.Sc. in Biomedical Engineering with a focus on Bioimaging Medical and Image processing from Télécom Paris, which they completed in 2012. Benjamin also holds a degree in Computer Science Engineering from Conservatoire National des Arts et Métiers, acquired from 2007 to 2012. Benjamin began their educational journey with a Superior Technician degree in Industrial Informatics and Electronics from Lycée Henri LORITZ in Nancy, France, which they obtained between 1999 and 2001.
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EOS imaging
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EOS imaging, an ATEC company, is a leader in outcome-improving radiographic imaging and data-informed software solutions. EOS is globally recognized for its low-dose, full-body biplanar imaging platform and its cloud-based digital spine ecosystem. EOS technology informs the entire surgical process by capturing a calibrated, full-body image in a weight-bearing position, enabling precise measurement of anatomical angles and dimensions. The EOS ecosystem drives a more accurate understanding of patient alignment during diagnosis, elevates the likelihood of surgical goal fulfillment by integrating a fully informed plan, and enables a post-operative assessment of the treatment strategy.