Tom Vercauteren

Repression of Clostridium population in young broiler chickens after administration of a probiotic mixture.

Mosaicing of confocal microscopic in vivo soft tissue video sequences.

Real time PCR quantification in groundwater of the dehalorespiring Desulfitobacterium dichloroeliminans strain DCA1.

Robust mosaicing with correction of motion distortions and tissue deformations for in vivo fibered microscopy.

In vivo imaging of the bronchial wall microstructure using fibered confocal fluorescence microscopy.

Insight into efficient image registration techniques and the demons algorithm.

High-resolution miniprobe-based confocal microscopy in combination with video mosaicing (with video).

Non-parametric diffeomorphic image registration with the demons algorithm.

Spherical demons: fast surface registration.

Symmetric log-domain diffeomorphic Registration: a demons-based approach.

Diffeomorphic demons: efficient non-parametric image registration.

Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration.

DT-REFinD: diffusion tensor registration with exact finite-strain differential.

Spherical demons: fast diffeomorphic landmark-free surface registration.

Asymmetric image-template registration.

Learning task-optimal registration cost functions for localizing cytoarchitecture and function in the cerebral cortex.

An image retrieval approach to setup difficulty levels in training systems for endomicroscopy diagnosis.

A system for biopsy site re-targeting with uncertainty in gastroenterology and oropharyngeal examinations.

Delineation of the postprostatectomy prostate bed using computed tomography: interobserver variability following the EORTC delineation guidelines.

A smart atlas for endomicroscopy using automated video retrieval.

Evaluation of registration methods on thoracic CT: the EMPIRE10 challenge.

Retrieval evaluation and distance learning from perceived similarity between endomicroscopy videos.

Evaluation of deformable image coregistration in adaptive dose painting by numbers for head-and-neck cancer.

Re-localisation of a biopsy site in endoscopic images and characterisation of its uncertainty.

Learning semantic and visual similarity for endomicroscopy video retrieval.

Software for automated classification of probe-based confocal laser endomicroscopy videos of colorectal polyps.

Building large mosaics of confocal edomicroscopic images using visual servoing.

Online blind calibration of non-uniform photodetectors: application to endomicroscopy.

Three-phase adaptive dose-painting-by-numbers for head-and-neck cancer: initial results of the phase I clinical trial.

Deformation field validation and inversion applied to adaptive radiation therapy.

Hypofractionated whole breast irradiation for patients with large breasts: a randomized trial comparing prone and supine positions.

An anatomically validated brachial plexus contouring method for intensity modulated radiation therapy planning.

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

Reliability and accuracy assessment of Radiation Therapy Oncology Group-endorsed guidelines for brachial plexus contouring.

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

Hair-sparing whole brain radiotherapy with volumetric arc therapy in patients treated for brain metastases: dosimetric and clinical results of a phase II trial.

Semi-automated query construction for content-based endomicroscopy video retrieval.

Reproducibility of deep inspiration breath hold for prone left-sided whole breast irradiation.

Morphometric Atlas Selection for Automatic Brachial Plexus Segmentation.

Computer-assisted surgical planning and intraoperative guidance in fetal surgery: a systematic review.

Deep inspiration breath hold in the prone position retracts the heart from the breast and internal mammary lymph node region.

The effect of morphometric atlas selection on multi-atlas-based automatic brachial plexus segmentation.

Optimal number of atlases and label fusion for automatic multi-atlas-based brachial plexus contouring in radiotherapy treatment planning.

Setup accuracy for prone and supine whole breast irradiation.

Intensity modulated arc therapy implementation in a three phase adaptive (18)F-FDG-PET voxel intensity-based planning strategy for head-and-neck cancer.

Slic-Seg: A minimally interactive segmentation of the placenta from sparse and motion-corrupted fetal MRI in multiple views.

From computer-assisted intervention research to clinical impact: The need for a holistic approach.

Does an integrated boost increase acute toxicity in prone hypofractionated breast irradiation? A randomized controlled trial.

Interventional Photoacoustic Imaging of the Human Placenta with Ultrasonic Tracking for Minimally Invasive Fetal Surgeries.

GIFT-Cloud: A data sharing and collaboration platform for medical imaging research.

Adversarial training with cycle consistency for unsupervised super-resolution in endomicroscopy.

Clinical Applications for Diffusion MRI and Tractography of Cranial Nerves Within the Posterior Fossa: A Systematic Review.

Early neuropathological and neurobehavioral consequences of preterm birth in a rabbit model.

Intraoperative multispectral and hyperspectral label-free imaging: A systematic review of in vivo clinical studies.

Super-resolution for upper abdominal MRI: Acquisition and post-processing protocol optimization using brain MRI control data and expert reader validation.

Pruning strategies for efficient online globally consistent mosaicking in fetoscopy.

Automatic Brain Tumor Segmentation Based on Cascaded Convolutional Neural Networks With Uncertainty Estimation.

Automated postoperative muscle assessment of hip arthroplasty patients using multimodal imaging joint segmentation.

Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks.

Photoacoustic imaging of the human placental vasculature.

A 30-Year Clinical and Magnetic Resonance Imaging Observational Study of Multiple Sclerosis and Clinically Isolated Syndromes.

An automated framework for localization, segmentation and super-resolution reconstruction of fetal brain MRI.

Publisher Correction: Early neuropathological and neurobehavioral consequences of preterm birth in a rabbit model.

Improved fetal blood oxygenation and placental estimated measurements of diffusion-weighted MRI using data-driven Bayesian modeling.

An artificial intelligence framework for automatic segmentation and volumetry of vestibular schwannomas from contrast-enhanced T1-weighted and high-resolution T2-weighted MRI.

Minimally invasive photoacoustic imaging: Current status and future perspectives.

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

Image computing for fibre-bundle endomicroscopy: A review.

FetNet: a recurrent convolutional network for occlusion identification in fetoscopic videos.

Deep learning-based monocular placental pose estimation: towards collaborative robotics in fetoscopy.

Learning from irregularly sampled data for endomicroscopy super-resolution: a comparative study of sparse and dense approaches.

Manual segmentation versus semi-automated segmentation for quantifying vestibular schwannoma volume on MRI.

Deep learning-based fetoscopic mosaicking for field-of-view expansion.

Learning joint segmentation of tissues and brain lesions from task-specific hetero-modal domain-shifted datasets.

Refractive Two-View Reconstruction for Underwater 3D Vision.

Handheld Active Add-On Control Unit for a Cable-Driven Flexible Endoscope.