Research output per year
Research output per year
Personal profile
Research interests
Tom Vercauteren's research focuses on translational medical image computing, machine learning and interventional imaging devices with a specific interest in their development for surgery and interventional sciences. More information on the website of the CAI4CAI research group (https://cai4cai.ml) which Tom leads.
Biographical details
Tom Vercauteren is Professor of Interventional Image Computing at King’s College London. He is also co-founder and Chief Scientific Officer at Hypervision Surgical, a spin-out focusing on intraoperative hyperstral imaging. From 2018-2023, he held the Medtronic / Royal Academy of Engineering Research Chair in Machine Learning for Computer-assisted Neurosurgery at King's. From 2014 to 2018, he was Associate Professor at UCL where he acted as Deputy Director for the Wellcome / EPSRC Centre for Interventional and Surgical Sciences (2017-18). From 2004 to 2014, he worked for Mauna Kea Technologies, Paris where he led the research and development team designing image computing solutions for the company’s CE- marked and FDA-cleared optical biopsy device. His work is now used in hundreds of hospitals worldwide. He is a Columbia University and Ecole Polytechnique graduate and obtained his PhD from Inria in 2008. Tom is also an established open-source software and patient involvement supporter.
Research interests (short)
Tom Vercauteren's research focuses on translational medical image computing, machine learning and interventional imaging devices with a specific interest in their development for surgery and interventional sciences. More information on the website of the CAI4CAI research group (https://cai4cai.ml) which Tom leads.
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):
External positions
Honorary Associate Professor, UCL University College London
1 Jun 2018 → …
Guest Professor, KU Leuven
1 Jan 2017 → …
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image Segmentation
Wang, G., Zuluaga, M. A., Li, W., Pratt, R., Patel, P. A., Aertsen, M., Doel, T., David, A. L., Deprest, J., Ourselin, S. & Vercauteren, T., 31 Jul 2019, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 41, 7, p. 1559-1572 14 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile303 Citations (Scopus)155 Downloads (Pure) -
NiftyNet: a deep-learning platform for medical imaging
Gibson, E., Li, W., Sudre, C., Fidon, L., Shakir, D. I., Wang, G., Eaton-Rosen, Z., Gray, R., Doel, T., Hu, Y., Whyntie, T., Nachev, P., Modat, M., Barratt, D. C., Ourselin, S., Cardoso, M. J. & Vercauteren, T., May 2018, In: Computer Methods and Programs in Biomedicine. 158, p. 113-122 10 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile437 Citations (Scopus)657 Downloads (Pure) -
Effective deep learning training for single-image super-resolution in endomicroscopy exploiting video-registration-based reconstruction
Ravì, D., Szczotka, A. B., Shakir, D. I., Pereira, S. P. & Vercauteren, T., Jun 2018, In: International Journal of Computer Assisted Radiology and Surgery. 13, 6, p. 917-924 8 p.Research output: Contribution to journal › Article › peer-review
Open Access35 Citations (Scopus) -
Diffeomorphic demons: efficient non-parametric image registration
Vercauteren, T., Pennec, X., Perchant, A. & Ayache, N., 1 Mar 2009, In: NeuroImage. 45, 1 SupplResearch output: Contribution to journal › Article › peer-review
1235 Citations (Scopus) -
On the compactness, efficiency, and representation of 3D convolutional networks: Brain parcellation as a pretext task
Li, W., Wang, G., Fidon, L., Ourselin, S., Cardoso, M. J. & Vercauteren, T., 1 Jan 2017, Information Processing in Medical Imaging - 25th International Conference, IPMI 2017, Proceedings. Springer Verlag, Vol. 10265 LNCS. p. 348-360 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10265 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
257 Citations (Scopus)
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Artificial intelligence-driven management of brain tumours
Shapey, J., Modat, M. & Vercauteren, T.
1/11/2022 → 31/12/2024
Project: Research
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3D functional light field multispectral imaging for surgical guidance
1/08/2022 → 31/07/2027
Project: Research
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Wellcome/EPSRC Centre for Medical Engineering Extension
Ourselin, S., Barker, G., Barnes, A., Barrington, S., Bergeles, C., Bishop, M., Blower, P., Booth, T., Botnar, R., Cardoso, J., Carmichael, D., Chiribiri, A., Clough, R., Cook, G., Counsell, S., Dasgupta, P., De Vecchi, A., De Vita, E., Edwards, D., Goh, V., Hajnal, J., Hammers, A., Hutter, J., Ipek, O., King, A., Lamata de la Orden, P., Liu, H., Malik, S., Marsden, P., Modat, M., Niederer, S., Razavi, R., Reader, A., Rhode, K., Roujol, S., Rutherford, M., Shapey, J., Sparks, R., T. M. de Rosales, R., Terry, S., Tournier, J., Vercauteren, T., Williams, S., Xia, W., Young, A. & academic, A.
28/04/2022 → 27/10/2024
Project: Research
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Intraoperative hyperspectral imaging for real-time quantitative fluorescence-guided surgery of low-grade glioma
Shapey, J., Ourselin, S., Stasiuk, G. & Vercauteren, T.
1/04/2022 → 30/09/2025
Project: Research