Tom Vercauteren

TL;DR: A method is described that provides effective guidance by installing a forbidden region virtual fixture over the placenta, thereby safeguarding adequate clearance between the instrument tip and the placasa, and with a novel application of all-optical ultrasound distance sensing in which transmission and reception are performed with fibre optics.

TL;DR: Two pruning strategies facilitating the use of bundle adjustment in a sequential fashion are introduced that efficiently exploits the potential of using an electromagnetic tracking system to avoid unnecessary matching attempts between spatially inconsistent image pairs and an aggregated representation of images that allows decreasing the computational complexity of a globally consistent approach.

TL;DR: This work develops online Bayesian signal processing algorithms to estimate the state and parameters of a hidden Markov model (HMM) with unknown transition matrix and proposes a novel approximate maximum a posteriori (MAP) algorithm.

TL;DR: This work proposes an alternative paradigm in which the location of corresponding image-specific ROIs, defined in one image, within another image is learnt, which results in replacing image registration by a conditional segmentation algorithm, which can build on typical image segmentation networks and their widely-adopted training strategies.

TL;DR: In this article, a real-time automatic method based on Fully Convolutional Networks (FCN) and optical flow tracking is proposed for tool segmentation in computer assisted surgical systems.