Brain and Spine (Jan 2021)
Automated operative workflow analysis of endoscopic pituitary surgery using machine learning: development and preclinical evaluation (IDEAL stage 0)
- D.Z. Khan,
- I. Luengo,
- S. Barbarisi,
- C. Addis,
- L. Culshaw,
- N.L. Dorward,
- P. Haikka,
- A. Jain,
- K. Kerr,
- C.H. Koh,
- H. Layard Horsfall,
- W. Muirhead,
- P. Palmisciano,
- B. Vasey,
- D. Stoyanov,
- H.J. Marcus
Affiliations
- D.Z. Khan
- University College London, London, United Kingdom
- I. Luengo
- Digital Surgery Ltd, Medtronic, London, United Kingdom
- S. Barbarisi
- Digital Surgery Ltd, Medtronic, London, United Kingdom
- C. Addis
- Digital Surgery Ltd, Medtronic, London, United Kingdom
- L. Culshaw
- Digital Surgery Ltd, Medtronic, London, United Kingdom
- N.L. Dorward
- National Hospital for Neurology and Neurosurgery, London, United Kingdom; National Hospital for Neurology and Neurosurgery, London, United Kingdom
- P. Haikka
- Digital Surgery Ltd, Medtronic, London, United Kingdom
- A. Jain
- National Hospital for Neurology and Neurosurgery, London, United Kingdom
- K. Kerr
- Digital Surgery Ltd, Medtronic, London, United Kingdom
- C.H. Koh
- University College London, London, United Kingdom
- H. Layard Horsfall
- University College London, London, United Kingdom
- W. Muirhead
- University College London, London, United Kingdom
- P. Palmisciano
- University of Catania, Catania, Italy
- B. Vasey
- University of Oxford, Oxford, United Kingdom
- D. Stoyanov
- University College London, London, United Kingdom
- H.J. Marcus
- University College London, London, United Kingdom
- Journal volume & issue
-
Vol. 1
p. 100580
