PDE-based group equivariant convolutional neural networks
We present a PDE-based framework that generalizes Group equivariant Convolutional
Neural Networks (G-CNNs). In this framework, a network layer is seen as a set of PDE …
Neural Networks (G-CNNs). In this framework, a network layer is seen as a set of PDE …
Computing geodesic paths encoding a curvature prior for curvilinear structure tracking
D Chen, JM Mirebeau, M Shu… - Proceedings of the …, 2023 - National Acad Sciences
In this paper, we introduce an efficient method for computing curves minimizing a variant of
the Euler–Mumford elastica energy, with fixed endpoints and tangents at these endpoints …
the Euler–Mumford elastica energy, with fixed endpoints and tangents at these endpoints …
[HTML][HTML] An aberration correction approach for single and dual aperture ultrasound imaging of the abdomen
VHJ Van Hal, JW Muller, MRHM Van Sambeek… - Ultrasonics, 2023 - Elsevier
Abdominal ultrasound image quality is hampered by phase aberration, that is mainly caused
by the large speed-of-sound (SoS) differences between fat and muscle tissue in the …
by the large speed-of-sound (SoS) differences between fat and muscle tissue in the …
An elastica geodesic approach with convexity shape prior
D Chen, LD Cohen, JM Mirebeau… - Proceedings of the …, 2021 - openaccess.thecvf.com
The minimal geodesic models based on the Eikonal equations are capable of finding
suitable solutions in various image segmentation scenarios. Existing geodesic-based …
suitable solutions in various image segmentation scenarios. Existing geodesic-based …
The stochastic simulation of karst conduit network structure using anisotropic fast marching, and its application to a geologically complex alpine karst system
Anisotropic fast-marching algorithms are computationally efficient tools for generating
realistic maps of karst conduit networks, constrained by both the spatial extent and the …
realistic maps of karst conduit networks, constrained by both the spatial extent and the …
Integrating muscle fiber orientation from visible human data into radiotherapy target volumes
Objective. A major challenge in treatment of tumors near skeletal muscle is defining the
target volume for suspected tumor invasion into the muscle. This study develops a …
target volume for suspected tumor invasion into the muscle. This study develops a …
A generalized asymmetric dual-front model for active contours and image segmentation
The Voronoi diagram-based dual-front scheme is known as a powerful and efficient
technique for addressing the image segmentation and domain partitioning problems. In the …
technique for addressing the image segmentation and domain partitioning problems. In the …
A discontinuous Galerkin fast-sweeping eikonal solver for fast and accurate traveltime computation in 3D tilted anisotropic media
We tackle the challenging problem of efficient and accurate seismic traveltime computation
in 3D anisotropic media by applying the fast-sweeping method to a discontinuous Galerkin …
in 3D anisotropic media by applying the fast-sweeping method to a discontinuous Galerkin …
Geodesic models with convexity shape prior
The minimal geodesic models established upon the eikonal equation framework are
capable of finding suitable solutions in various image segmentation scenarios. Existing …
capable of finding suitable solutions in various image segmentation scenarios. Existing …
FM2 Path Planner for UAV Applications with Curvature Constraints: A Comparative Analysis with Other Planning Approaches
This paper studies the Fast Marching Square (FM 2) method as a competitive path planner
for UAV applications. The approach fulfills trajectory curvature constraints together with a …
for UAV applications. The approach fulfills trajectory curvature constraints together with a …