T
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.
Papers
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Book ChapterDOI
Point-Spread-Function-Aware Slice-to-Volume Registration: Application to Upper Abdominal MRI Super-Resolution
Michael Ebner,Manil D Chouhan,Manil D Chouhan,Premal A. Patel,Premal A. Patel,David Atkinson,Zahir Amin,Samantha Read,Shonit Punwani,Shonit Punwani,Stuart A. Taylor,Stuart A. Taylor,Tom Vercauteren,Sebastien Ourselin +13 more
TL;DR: This paper proposes a PSF-aware slice-to-volume registration approach and demonstrates the potential benefit of Super-Resolution for upper abdominal imaging and achieves promising results towards replacing currently required CT scans.
Journal ArticleDOI
Image Compositing for Segmentation of Surgical Tools without Manual Annotations.
Luis C. Garcia-Peraza-Herrera,Lucas Fidon,Claudia D'Ettorre,Danail Stoyanov,Tom Vercauteren,Sebastien Ourselin +5 more
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
Joris Van de Velde,Tom Vercauteren,Werner De Gersem,Johan Wouters,Katrien Vandecasteele,Philippe Vuye,Frank Vanpachtenbeke,Katharina D'Herde,Ingrid Kerckaert,Wilfried De Neve,Tom Van Hoof +10 more
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.