Michael Ebner
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Personal profile

Research interests

Michael's research focuses on translational medical image computing and machine learning with a particular interest in the development of improved visualizations for pre- and intra-operative imaging data.

Biographical details

Michael is an entrepreneur and a scientist focusing on the development and clinical translation of computational hyperspectral imaging for real-time surgical guidance.

He is a Royal Academy of Engineering Enterprise Fellow and CEO & Co-Founder of Hypervision Surgical Ltd where he develops an AI-powered imaging system to equip surgeons with intelligent vision to improve surgical precision and patient safety during surgery.

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.

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.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being

External positions

CEO & Co-Founder, Hypervision Surgical Ltd

20 May 2020 → …


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Collaborations and top research areas from the last five years

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