Vercauteren, T.[Tom]
* 2009: Diffeomorphic demons: Efficient non-parametric image registration
* 2009: DT-REFinD: Diffusion Tensor Registration With Exact Finite-Strain Differential
* 2010: Learning Task-Optimal Registration Cost Functions for Localizing Cytoarchitecture and Function in the Cerebral Cortex
* 2010: Spherical Demons: Fast Diffeomorphic Landmark-Free Surface Registration
* 2011: Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge
* 2012: Learning Semantic and Visual Similarity for Endomicroscopy Video Retrieval
* 2016: Accurate Small Deformation Exponential Approximant to Integrate Large Velocity Fields: Application to Image Registration
* 2016: Combined EM and Visual Tracking Probabilistic Model for Robust Mosaicking: Application to Fetoscopy, A
* 2016: Point-Spread-Function-Aware Slice-to-Volume Registration: Application to Upper Abdominal MRI Super-Resolution
* 2016: Real-Time Segmentation of Non-rigid Surgical Tools Based on Deep Learning and Tracking
* 2016: Strengths and Pitfalls of Whole-Heart Atlas-Based Segmentation in Congenital Heart Disease Patients
* 2017: Freehand Ultrasound Image Simulation with Spatially-Conditioned Generative Adversarial Networks
* 2017: Refractive Structure-from-Motion Through a Flat Refractive Interface
* 2018: Interactive Medical Image Segmentation Using Deep Learning With Image-Specific Fine Tuning
* 2019: DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image Segmentation
* 2020: Refractive Two-View Reconstruction for Underwater 3D Vision
* 2020: Towards Automated Spine Mobility Quantification: A Locally Rigid CT to X-Ray Registration Framework
* 2021: CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation
* 2021: Image Compositing for Segmentation of Surgical Tools Without Manual Annotations
* 2021: Zero-Shot Super-Resolution With a Physically-Motivated Downsampling Kernel for Endomicroscopy
* 2022: Cross-Modality Image Registration Using a Training-Time Privileged Third Modality
* 2023: UPL-SFDA: Uncertainty-Aware Pseudo Label Guided Source-Free Domain Adaptation for Medical Image Segmentation
* 2024: Dempster-Shafer Approach to Trustworthy AI With Application to Fetal Brain MRI Segmentation, A
Includes: Vercauteren, T.[Tom] Vercauteren, T.
23 for Vercauteren, T.
Vercelli, G.
* 1995: Achieving Dextrous Grasping by Integrating Planning and Vision-Based Sensing
Vercellis, C.
* 2010: Combining discrete SVM and fixed cardinality warping distances for multivariate time series classification
* 2012: effective double-bounded tree-connected Isomap algorithm for microarray data classification, An
* 2022: Emotions are the Great Captains of Our Lives: Measuring Moods Through the Power of Physiological and Environmental Sensing
Includes: Vercellis, C. Vercellis, C.[Carlo]
Vercelloni, J.[Julie]
* 2020: Monitoring of Coral Reefs Using Artificial Intelligence: A Feasible and Cost-Effective Approach
Vercher, J.L.[Jean Louis]
* 2005: Perception and Synthesis of Biologically Plausible Motion: From Human Physiology to Virtual Reality
* 2013: Effectiveness of Physiological and Psychological Features to Estimate Helicopter Pilots' Workload: A Bayesian Network Approach
* 2019: Long automated driving phase affects take-over performance
Includes: Vercher, J.L.[Jean Louis] Vercher, J.L.[Jean-Louis] Vercher, J.L.
Vercheval, N.
* 2020: Variational Auto-Encoders Without Graph Coarsening For Fine Mesh Learning
* 2021: Hierarchical Variational Autoencoders for Visual Counterfactuals
Includes: Vercheval, N. Vercheval, N.[Nicolas]
Vercnocke, A.J.
* 2008: Reproducibility of Global and Local Reconstruction of Three-Dimensional Micro-Computed Tomography of Iliac Crest Biopsies
Vercruysse, M.[Mathias]
* 2011: Automatic Occlusion Removal from Facades for 3D Urban Reconstruction