Main content blocks

Head of Group

Dr Stamatia Giannarou

About us

The Cognitive Vision in Robotic Surgery Lab is developing computer vision and AI techniques for intraoperative navigation and real-time tissue characterisation.

Research lab info

What we do

Surgery is undergoing rapid changes driven by recent technological advances and our on-going pursuit towards early intervention and personalised treatment. We are developing computer vision and Artificial Intelligence techniques for intraoperative navigation and real-time tissue characterisation during minimally invasive and robot-assisted operations to improve both the efficacy and safety of surgical procedures. Our work will revolutionize the treatment of cancers and pave the way for autonomous robot-assisted interventions.

Why it is important?

With recent advances in medical imaging, sensing, and robotics, surgical oncology is entering a new era of early intervention, personalised treatment, and faster patient recovery. The main goal is to completely remove cancerous tissue while minimising damage to surrounding areas. However, achieving this can be challenging, often leading to imprecise surgeries, high re-excision rates, and reduced quality of life due to unintended injuries. Therefore, technologies that enhance cancer detection and enable more precise surgeries may improve patient outcomes.

How can it benefit patients?

Our methods aim to ensure patients receive accurate and timely surgical treatment while reducing surgeons' mental workload, overcoming limitations, and minimizing errors. By improving tumor excision, our hybrid diagnostic and therapeutic tools will lower recurrence rates and enhance survival outcomes. More complete tumor removal will also reduce the need for repeat procedures, improving patient quality of life, life expectancy, and benefiting society and the economy.

Meet the team

Mr Alfie Roddan

Mr Alfie Roddan

Mr Alfie Roddan
Research Postgraduate

Mr Chi Xu

Mr Chi Xu

Mr Chi Xu
Research Assistant

Mr Yihang Zhou

Mr Yihang Zhou

Mr Yihang Zhou
Research Assistant

Citation

BibTex format

@article{Maier-Hein:2022:10.1016/j.media.2021.102306,
author = {Maier-Hein, L and Eisenmann, M and Sarikaya, D and Maerz, K and Collins, T and Malpani, A and Fallert, J and Feussner, H and Giannarou, S and Mascagni, P and Nakawala, H and Park, A and Pugh, C and Stoyanov, D and Vedula, SS and Cleary, K and Fichtinger, G and Forestier, G and Gibaud, B and Grantcharov, T and Hashizume, M and Heckmann-Noetzel, D and Kenngott, HG and Kikinis, R and Muendermann, L and Navab, N and Onogur, S and Ross, T and Sznitman, R and Taylor, RH and Tizabi, MD and Wagner, M and Hager, GD and Neumuth, T and Padoy, N and Collins, J and Gockel, I and Goedeke, J and Hashimoto, DA and Joyeux, L and Lam, K and Leff, DR and Madani, A and Marcus, HJ and Meireles, O and Seitel, A and Teber, D and Ueckert, F and Mueller-Stich, BP and Jannin, P and Speidel, S},
doi = {10.1016/j.media.2021.102306},
journal = {MEDICAL IMAGE ANALYSIS},
title = {Surgical data science-from concepts toward clinical translation},
url = {http://dx.doi.org/10.1016/j.media.2021.102306},
volume = {76},
year = {2022}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AU - Maier-Hein,L
AU - Eisenmann,M
AU - Sarikaya,D
AU - Maerz,K
AU - Collins,T
AU - Malpani,A
AU - Fallert,J
AU - Feussner,H
AU - Giannarou,S
AU - Mascagni,P
AU - Nakawala,H
AU - Park,A
AU - Pugh,C
AU - Stoyanov,D
AU - Vedula,SS
AU - Cleary,K
AU - Fichtinger,G
AU - Forestier,G
AU - Gibaud,B
AU - Grantcharov,T
AU - Hashizume,M
AU - Heckmann-Noetzel,D
AU - Kenngott,HG
AU - Kikinis,R
AU - Muendermann,L
AU - Navab,N
AU - Onogur,S
AU - Ross,T
AU - Sznitman,R
AU - Taylor,RH
AU - Tizabi,MD
AU - Wagner,M
AU - Hager,GD
AU - Neumuth,T
AU - Padoy,N
AU - Collins,J
AU - Gockel,I
AU - Goedeke,J
AU - Hashimoto,DA
AU - Joyeux,L
AU - Lam,K
AU - Leff,DR
AU - Madani,A
AU - Marcus,HJ
AU - Meireles,O
AU - Seitel,A
AU - Teber,D
AU - Ueckert,F
AU - Mueller-Stich,BP
AU - Jannin,P
AU - Speidel,S
DO - 10.1016/j.media.2021.102306
PY - 2022///
SN - 1361-8415
TI - Surgical data science-from concepts toward clinical translation
T2 - MEDICAL IMAGE ANALYSIS
UR - http://dx.doi.org/10.1016/j.media.2021.102306
UR - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000738332800009&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a2bf6146997ec60c407a63945d4e92bb
VL - 76
ER -

Contact Us

General enquiries
hamlyn@imperial.ac.uk

Facility enquiries
hamlyn.facility@imperial.ac.uk


The Hamlyn Centre
Bessemer Building
South Kensington Campus
Imperial College
London, SW7 2AZ
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