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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

CAI4CAI: The Rise of Contextual Artificial Intelligence in Computer Assisted Interventions

TL;DR: In this paper, the authors highlight the crucial need to take context and human factors into account in order to address these challenges, and propose Contextual Artificial Intelligence for Computer-Aided Interventions (CAI4CAI).
Journal ArticleDOI

Building Large Mosaics of Confocal Edomicroscopic Images Using Visual Servoing

TL;DR: Experiments on different kinds of environments show that the quality of the visually servoed probe motion is sufficient to build mosaics with minimal distortion in spite of disturbances, and visual servoing from real-time endomicroscopic images is proposed in this paper.
Book ChapterDOI

Hetero-Modal Variational Encoder-Decoder for Joint Modality Completion and Segmentation

TL;DR: In this article, a hetero-modal variational 3D encoder-decoder independently embeds all observed modalities into a shared latent representation, and the missing data and tumour segmentation can be then generated from this embedding.
Journal ArticleDOI

A Continuum Robot and Control Interface for Surgical Assist in Fetoscopic Interventions

TL;DR: A mechatronic design for a comanipulated instrument that combines concentric tube actuation to a larger manipulator constrained by a remote centre of motion and a stereoscopic camera is mounted at the distal tip and used for imaging is reported on.
Journal ArticleDOI

Comparative dosimetry of three-phase adaptive and non-adaptive dose-painting IMRT for head-and-neck cancer.

TL;DR: Compared to RT, ART readjusts dose-painting, increases minimum and decreases maximum doses in target volumes and improves dose/volume metrics of organs-at-risk, but also revealed considerable heterogeneity in patient-specific benefit.