Tom Vercauteren
Professor Of Interventional Image Computing at UCL
London, England, United Kingdom
Summary
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Rockstar🎓
Top SchoolTom Vercauteren is a Professor of Interventional Image Computing at King’s College London and co-founder/CSO of Hypervision Surgical, combining deep academic leadership with hands-on medical imaging entrepreneurship. With ~18 years of experience spanning industry R&D and translational academic roles at KCL, UCL and KU Leuven, he focuses on applying machine learning to overcome limitations of interventional imaging devices and translate solutions into clinical practice. His background includes growing and leading image computing teams at Mauna Kea Technologies, turning PhD research into commercial software and clinical trials, and contributing robustness and performance fixes to the flagship ITK open-source toolkit. Trained at École Polytechnique, Columbia and Mines Paris with a PhD co-supervised by Nicholas Ayache and Xavier Pennec, he blends rigorous mathematical foundations with product-oriented engineering. Notably, he pairs strategic technology scouting and company-building skills with practical systems work—improving core algorithms, testing infrastructure and device-focused imaging pipelines.
18 years of coding experience
15 years of employment as a software developer
Stanford Ignite - Polytechnique, Innovation and Entrepreneurship, Certificate in Innovation and Entrepreneurship, Stanford Ignite - Polytechnique, Innovation and Entrepreneurship, Certificate in Innovation and Entrepreneurship at Stanford University Graduate School of BusinessPhD, Biomedical Image Analysis, PhD, Biomedical Image Analysis at Institut National de Recherche en Informatique et en Automatique (INRIA)Baccalauréat, Scientific (Bac S), Baccalauréat, Scientific (Bac S) at Lycée BertholletIngenieur, Applied Mathematics and Economics, Ingenieur, Applied Mathematics and Economics at École PolytechniquePhD, Biomedical Image Analysis, PhD, Biomedical Image Analysis at Mines Paris - PSLClasses Préparatoires, Advanced Mathematics and Physics, Classes Préparatoires, Advanced Mathematics and Physics at Lycée du ParcMSc, Electrical Engineering, MSc, Electrical Engineering at Columbia University
English, French, Dutch, Spanish, German
Stackoverflow
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Github Skills (11)
itk10
c-language10
cpp10
cprogramming-language10
image-processing10
atomics9
atomic9
image-analysis9
open-source9
medical-imaging8
scientific-computing8
Programming languages (14)
Github contributions (5)
InsightSoftwareConsortium/ITK
May 2008 - Mar 2013
Insight Toolkit (ITK) -- Official Repository. ITK builds on a proven, spatially-oriented architecture for processing, segmentation, and registration of scientific images in two, three, or more dimensions.
Role in this project:
Back-end Developer & QA Engineer
Back-end Developer & QA EngineerContributions:121 commits in 4 years 10 months
Contributions summary:Tom contributed to the Insight Toolkit (ITK) by adding and improving unit tests and improving the performance of some core algorithms. Specifically, they added a unit test for timestamps, enhanced the timestamp and reference count implementations with atomic operations, and fixed the testing infrastructure. They also identified and fixed a bug related to non-identity image orientations, improving the robustness and reliability of the toolkit.
pythonitkcomputer-visionopen-sciencescientific
tvercaut/LSQR-cpp
Jul 2016 - Feb 2020
This is a c++ port initially performed by Luis Ibanez of the LSQR library of Chris Paige and Michael Saunders. The same methodology was applied to the LSMR library of David Fong and Michael Saunders.
Contributions:19 commits, 7 PRs, 22 pushes in 3 years 8 months
least-squareslinear-algebralsmrlsqr
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