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Tom Vercauteren

Researcher at King's College London

Publications -  443
Citations -  19699

Tom Vercauteren is an academic researcher from King's College London. The author has contributed to research in topics: Segmentation & Computer science. The author has an hindex of 47, co-authored 381 publications receiving 14216 citations. Previous affiliations of Tom Vercauteren include Mauna Kea Technologies & Wellcome Trust.

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Journal ArticleDOI

Image Compositing for Segmentation of Surgical Tools without Manual Annotations.

TL;DR: In this paper, the authors propose to automate the creation of a realistic training dataset by exploiting techniques stemming from special effects and harnessing them to target training performance rather than visual appeal, and compare different methods to blend instruments over tissue and propose a novel data augmentation approach that takes advantage of the plurality of options.
Book ChapterDOI

Registration of MRI and iUS Data to Compensate Brain Shift Using a Symmetric Block-Matching Based Approach

TL;DR: This paper describes the application of an established block-matching based registration approach to the CuRIOUS 2018 MICCAI registration challenge and different variations of this method are compared to demonstrate possible results of a fully automatic and general approach.
Book ChapterDOI

A viterbi approach to topology inference for large scale endomicroscopy video mosaicing

TL;DR: In this article, a methodological framework was proposed to reconstruct a mosaic of endomicroscopic images acquired following a noisy robotized spiral trajectory, which can be extended using mosaicing techniques.
Journal ArticleDOI

Reliability and accuracy assessment of radiation therapy oncology group-endorsed guidelines for brachial plexus contouring

TL;DR: The RTOG-endorsed BP guidelines have insufficient accuracy and reliability, especially for the lateral head-and-neck regions, and the inter- and intraobserver reliability was poor.