Search Results for author: Joan Glaunès

Found 6 papers, 3 papers with code

How to Register a Live onto a Liver ? Partial Matching in the Space of Varifolds

1 code implementation12 Apr 2022 Pierre-Louis Antonsanti, Thomas Benseghir, Vincent Jugnon, Mario Ghosn, Perrine Chassat, Irène Kaltenmark, Joan Glaunès

The generated deformations extend consistently to the liver volume, and are evaluated on points of interest for the physicians, with an average distance of 5. 8mm (+/- 2. 7) for vessels bifurcations and 5. 13mm (+/- 2. 5) for tumors landmarks.

Anatomy Computed Tomography (CT)

A deep residual learning implementation of Metamorphosis

no code implementations1 Feb 2022 Matthis Maillard, Anton François, Joan Glaunès, Isabelle Bloch, Pietro Gori

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).

Image Registration

Metamorphic image registration using a semi-Lagrangian scheme

1 code implementation16 Jun 2021 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 geodesic shooting.

Image Registration

Partial Matching in the Space of Varifolds

1 code implementation23 Mar 2021 Pierre-Louis Antonsanti, Joan Glaunès, Thomas Benseghir, Vincent Jugnon, Irène Kaltenmark

In computer vision and medical imaging, the problem of matching structures finds numerous applications from automatic annotation to data reconstruction.

Anatomy Computed Tomography (CT)

Fast geometric learning with symbolic matrices

no code implementations NeurIPS 2020 Jean Feydy, Joan Glaunès, Benjamin Charlier, Michael Bronstein

Geometric methods rely on tensors that can be encoded using a symbolic formula and data arrays, such as kernel and distance matrices.

Database Annotation with few Examples: An Atlas-based Framework using Diffeomorphic Registration of 3D Trees

no code implementations25 Sep 2020 Pierre-Louis Antonsanti, Thomas Benseghir, Vincent Jugnon, Joan Glaunès

Automatic annotation of anatomical structures can help simplify workflow during interventions in numerous clinical applications but usually involves a large amount of annotated data.

Anatomy

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