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Biography

Michael Ebner is a research associate at King's College London, UK, where he works on computational hyperspectral imaging for data-driven real-time surgical guidance. In 2019, he received his PhD degree in medical image computing from University College London, UK, for his work on volumetric MRI reconstruction from 2D slices in the presence of motion. His developed framework NiftyMIC is used as a clinical research tool at numerous hospitals and leading academic institutions in various countries including the UK, US, Belgium, Austria, Italy, Spain, and China.

Prior to this, he was at the Advanced Development group at Medtronic, Louisville, Colorado, where he worked on image fusion techniques for improved interventional navigation in spine surgery in addition to the development of deep learning-based applications. In 2014, he received his MSc degree in applied mathematics from TU Vienna, Austria.

During his career, he has been working with various research institutions, hospitals, and corporations in the US, UK, Austria, and Germany on the topics of medical image processing, deep learning, numerical optimization, fluid dynamics, and cardiovascular modelling.