79 citations · 133 across the 7 of their papers we have counts for
10 papers
How to Register a Live onto a Liver ? Partial Matching in the Space of Varifolds
Pierre-Louis Antonsanti, Thomas Benseghir, Vincent Jugnon +4
Partial shapes correspondences is a problem that often occurs in computer vision (occlusion, evolution in time...). In medical imaging, data may come from different modalities and…
Giga-scale Kernel Matrix Vector Multiplication on GPU
Robert Hu, Siu Lun Chau, Dino Sejdinovic +1
Kernel matrix-vector multiplication (KMVM) is a foundational operation in machine learning and scientific computing. However, as KMVM tends to scale quadratically in both memory an…
A deep residual learning implementation of Metamorphosis
Matthis Maillard, Anton François, Joan Glaunès +2
In medical imaging, most of the image registration methods implicitly assume a one-to-one correspondence between the source and target images (i.e., diffeomorphism). However, this…
Metamorphic image registration using a semi-Lagrangian scheme
Anton François, Pietro Gori, Joan Glaunès
In this paper, we propose an implementation of both Large Deformation Diffeomorphic Metric Mapping (LDDMM) and Metamorphosis image registration using a semi-Lagrangian scheme for g…
Partial Matching in the Space of Varifolds
Pierre-Louis Antonsanti, Joan Glaunès, Thomas Benseghir +2
In computer vision and medical imaging, the problem of matching structures finds numerous applications from automatic annotation to data reconstruction. The data however, while cor…
Database Annotation with few Examples: An Atlas-based Framework using Diffeomorphic Registration of 3D Trees
Pierre-Louis Antonsanti, Thomas Benseghir, Vincent Jugnon +1
Automatic annotation of anatomical structures can help simplify workflow during interventions in numerous clinical applications but usually involves a large amount of annotated dat…
Kernel Operations on the GPU, with Autodiff, without Memory Overflows
Benjamin Charlier, Jean Feydy, Joan Alexis Glaunès +2
The KeOps library provides a fast and memory-efficient GPU support for tensors whose entries are given by a mathematical formula, such as kernel and distance matrices. KeOps allevi…
Large Deformation Diffeomorphic Metric Mapping And Fast-Multipole Boundary Element Method Provide New Insights For Binaural Acoustics
Reza Zolfaghari, Nicolas Epain, Craig T. Jin +2
This paper describes how Large Deformation Diffeomorphic Metric Mapping (LDDMM) can be coupled with a Fast Multipole (FM) Boundary Element Method (BEM) to investigate the relations…
Matrix-valued Kernels for Shape Deformation Analysis
Mario Micheli, Joan Alexis Glaunès
The main purpose of this paper is providing a systematic study and classification of non-scalar kernels for Reproducing Kernel Hilbert Spaces (RKHS), to be used in the analysis of…
Craniofacial reconstruction as a prediction problem using a Latent Root Regression model
Maxime Berar, Françoise Tilotta, Joan Alexis Glaunès +1
In this paper, we present a computer-assisted method for facial reconstruction. This method provides an estimation of the facial shape associated with unidentified skeletal remains…