51 citations · 51 across the 8 of their papers we have counts for
8 papers
Using Atom-Like Local Image Features to Study Human Genetics and Neuroanatomy in Large Sets of 3D Medical Image Volumes
Laurent Chauvin
The contributions of this thesis stem from technology developed to analyse large sets of volumetric images in terms of atom-like features extracted in 3D image space, following SIF…
Registering Image Volumes using 3D SIFT and Discrete SP-Symmetry
Laurent Chauvin, William Wells, Matthew Toews
This paper proposes to extend local image features in 3D to include invariance to discrete symmetry including inversion of spatial axes and image contrast. A binary feature sign $s…
GPU optimization of the 3D Scale-invariant Feature Transform Algorithm and a Novel BRIEF-inspired 3D Fast Descriptor
Jean-Baptiste Carluer, Laurent Chauvin, Jie Luo +4
This work details a highly efficient implementation of the 3D scale-invariant feature transform (SIFT) algorithm, for the purpose of machine learning from large sets of volumetric…
Curating Subject ID Labels using Keypoint Signatures
Laurent Chauvin, Matthew Toews
Subject ID labels are unique, anonymized codes that can be used to group all images of a subject while maintaining anonymity. ID errors may be inadvertently introduced manually err…
Efficient Pairwise Neuroimage Analysis using the Soft Jaccard Index and 3D Keypoint Sets
Laurent Chauvin, Kuldeep Kumar, Christian Desrosiers +2
We propose a novel pairwise distance measure between image keypoint sets, for the purpose of large-scale medical image indexing. Our measure generalizes the Jaccard index to accoun…
Large Scale Indexing of Generic Medical Image Data using Unbiased Shallow Keypoints and Deep CNN Features
L. Chauvin, M. Ben Lazreg, J. B. Carluer +2
We propose a unified appearance model accounting for traditional shallow (i.e. 3D SIFT keypoints) and deep (i.e. CNN output layers) image feature representations, encoding respecti…
Multi-modal analysis of genetically-related subjects using SIFT descriptors in brain MRI
Kuldeep Kumar, Laurent Chauvin, Mathew Toews +2
So far, fingerprinting studies have focused on identifying features from single-modality MRI data, which capture individual characteristics in terms of brain structure, function, o…
Integration of the OpenIGTLink Network Protocol for Image-Guided Therapy with the Medical Platform MeVisLab
Jan Egger, Junichi Tokuda, Laurent Chauvin +4
We present the integration of the OpenIGTLink network protocol for image-guided therapy (IGT) with the medical prototyping platform MeVisLab. OpenIGTLink is a new, open, simple and…