Tom Vercauteren Email & Phone Number
@kcl.ac.uk
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Who is Tom Vercauteren? Overview
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Tom Vercauteren is listed as Professor of Interventional Image Computing at King's College London, based in London, England, United Kingdom. AeroLeads shows a work email signal at kcl.ac.uk and a matched LinkedIn profile for Tom Vercauteren.
Tom Vercauteren previously worked as Co-Founder and Chief Scientific Officer (CSO) at Hypervision Surgical and Honorary Associate Professor at Ucl. Tom Vercauteren holds Phd, Biomedical Image Analysis from Institut National De Recherche En Informatique Et En Automatique (Inria).
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About Tom Vercauteren
I am currently Professor of Interventional Image Computing at King's College London (KCL) within the School of Biomedical Engineering & Imaging Sciences (BMEIS) where I lead the CAI4CAI research group (Contextual AI for Computer Assisted Interventions). I am also co-founder and Chief Scientific Officer of Hypervision Surgical. Additionally, I am honorary Associate Professor at University College London (UCL) and Guest Professor at KU Leuven.Prior to this, I was Associate Professor at UCL where I acted as Deputy Director for the Wellcome / EPSRC Centre for Interventional and Surgical Sciences (WEISS). Before my academic career, I have been working for Mauna Kea Technologies where as New Technologies Manager to identify emerging technologies and support their acquisition within the company. There, I have led the company image computing group which I initially joined as PhD student and then helped make it grow as research engineer.I received my PhD, co-supervised by Nicholas Ayache and Xavier Pennec, in 2008 from Ecole des Mines de Paris. I obtained my Master of Science in Electrical Engineering at Columbia University in 2004 and graduated from Ecole Polytechnique in 2003.
Listed skills include Image Processing, Medical Imaging, R&D, Algorithms, and 44 others.
Tom Vercauteren's current company
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Tom Vercauteren work experience
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Professor Of Interventional Image Computing
CurrentResearch in interventional imaging and translational applications with a focus on using machine learning to go beyond initial limitations of the imaging devices. Supervision of PhD candidates and Post-Doctoral researchers. Teaching duties.
Co-Founder And Chief Scientific Officer (Cso)
Current
Honorary Associate Professor
CurrentCollaboration and academic duties as part of the Department of Medical Physics and Biomedical Engineering. Associate member of the Wellcome / EPSRC Centre for Interventional and Surgical Sciences (WEISS).
Associate Professor
Research focusing on interventional imaging and translational applications. Member of the Wellcome / EPSRC Centre for Interventional and Surgical Sciences (WEISS), Centre for Medical Image Computing (CMIC), Translational Imaging Group (TIG). Supervision of PhD candidates and Post-Doctoral researchers. Teaching duties.
Guest Professor
CurrentTranslating Engineering Research in Fetal Surgery and Women’s Health.
Deputy Director
Bringing together a wide team of engineering and clinical experts to design, implement and translate new interventional and surgical technologies.
New Technologies Manager
My work as New Technologies Manager focuses on technology scouting. My role is to identify emerging technologies and support their acquisition within the company. As such I am under the supervision of the CSO and am working in collaboration with Business Development, Product Development and R&D.
Image Computing Manager
I work and supervise projects on image computing for probe-based confocal laser endomicroscopy (pCLE). My responsibilities include the management of industrial and academic collaborations. I also act as industrial advisor for a PhD thesis.
Research Engineer (Phd)
Biomedical image processing and analysis for in vivo fibered confocal microscopy.
Research Engineer And Phd Candidate
Biomedical image processing and analysis for in vivo fibered confocal microscopy. Active cooperation with the software development team to incorporate the results of my PhD work into Mauna Kea Technologies commercial software (C++). Video mosaicing software being tested in a multi-center clinical trial.
Research Assistant
Sequential Monte Carlo methods applied to the optimization of the IEEE 802.11 protocol, web-servers resource planning and target tracking in sensor networks. Supervisor: Xiaodong Wang.
Image Processing Intern
Biomedical image registration and superresolution project concluded by a patent.
Tom Vercauteren education
Phd, Biomedical Image Analysis
Stanford Ignite - Polytechnique, Innovation And Entrepreneurship, Certificate In Innovation And Entrepreneurship
Phd, Biomedical Image Analysis
Msc, Electrical Engineering
Ingenieur, Applied Mathematics And Economics
Classes Préparatoires, Advanced Mathematics And Physics
Baccalauréat, Scientific (Bac S)
Frequently asked questions about Tom Vercauteren
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What company does Tom Vercauteren work for?
Tom Vercauteren works for King's College London.
What is Tom Vercauteren's role at King's College London?
Tom Vercauteren is listed as Professor of Interventional Image Computing at King's College London.
What is Tom Vercauteren's email address?
AeroLeads has found 1 work email signal at @kcl.ac.uk for Tom Vercauteren at King's College London.
Where is Tom Vercauteren based?
Tom Vercauteren is based in London, England, United Kingdom while working with King's College London.
What companies has Tom Vercauteren worked for?
Tom Vercauteren has worked for King'S College London, Hypervision Surgical, Ucl, Ku Leuven, and Weiss - Wellcome / Epsrc Centre For Interventional And Surgical Sciences.
How can I contact Tom Vercauteren?
You can use AeroLeads to view verified contact signals for Tom Vercauteren at King's College London, including work email, phone, and LinkedIn data when available.
What schools did Tom Vercauteren attend?
Tom Vercauteren holds Phd, Biomedical Image Analysis from Institut National De Recherche En Informatique Et En Automatique (Inria).
What skills is Tom Vercauteren known for?
Tom Vercauteren is listed with skills including Image Processing, Medical Imaging, R&D, Algorithms, Signal Processing, Matlab, C++, and Computer Vision.
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