
Hani Marcus serves as professor of neurosurgery at the UCL Queen Square Institute of Neurology and as a consultant neurosurgeon at the National Hospital for Neurology and Neurosurgery. He has an international reputation for his work in pituitary surgery, research on robotics and artificial intelligence, and commitment to education and mentorship.
Selected publications from PubMed
SurgAnt-ViVQA: learning to anticipate surgical events through GRU-driven temporal cross-attention.
Dhake SC, Huang J, He R, Khan DZ, Mazomenos EB, Bano S, Marcus HJ, Stoyanov D, Clarkson MJ, Hoque MI
Int J Comput Assist Radiol Surg. 2026 Aug 26 doi: 10.1007/s11548-026-03784-z.
Artificial intelligence in pituitary surgery: the path to clinical solutions.
Hudson G, Khan DZ, Baldeweg SE, Marcus HJ
Endocr Relat Cancer. 2026 Aug 1;33(8) doi: 10.1530/ERC-26-0104.
Robotic platforms in neurosurgery: the great disappearing act.
Hudson G, Starup-Hansen J, Zaletel T, Marcus HJ
Br J Neurosurg. 2026 Jun 30;:1-7 doi: 10.1080/02688697.2026.2691145.
Clinical Subgroups and Treatment Outcomes in Idiopathic Normal Pressure Hydrocephalus: Application of Machine Learning-Based Clustering.
Burrows EJ, D'Antona L, Booker J, Islam S, Shariff F, Matthew D, Monticelli M, Rehman H, Marcus HJ, Toma AK
Neurosurg Pract. 2026 Jun;7(3):e000257 doi: 10.1227/neuprac.0000000000000257.
Depth-based local registration refinement for augmented reality in pituitary surgery.
Enkaoua A, Villa M, Ramalhinho J, Hoque MI, Marcus HJ, Clarkson MJ
Int J Comput Assist Radiol Surg. 2026 Jul;21(7):1665-1669 doi: 10.1007/s11548-026-03705-0.
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