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Stochastic optimization of carbon nanotube reinforced concrete for enhanced structural performance
This paper presents a material optimization framework for identifying optimal material typologies to improve structural performance under the...
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Analysing ‘Simple’ Image Registrations
Processes such as growth and atrophy cause changes through time that can be visible in a series of medical images, following the hypothesis that form...
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BInGo: Bayesian Intrinsic Groupwise Registration via Explicit Hierarchical Disentanglement
Multimodal groupwise registration aligns internal structures in a group of medical images. Current approaches to this problem involve develo**...
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Lesion Normalization and Supervised Learning in Post-traumatic Seizure Classification with Diffusion MRI
Traumatic brain injury (TBI) is a serious condition, potentially causing seizures and other lifelong disabilities. Patients who experience at least...
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Instance-Specific Augmentation of Brain MRIs with Variational Autoencoders
Spatial data augmentation is a standard technique for regularizing deep segmentation networks that are tasked with localizing medical abnormalities....
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Mesh2SSM: From Surface Meshes to Statistical Shape Models of Anatomy
Statistical shape modeling is the computational process of discovering significant shape parameters from segmented anatomies captured by medical...
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Multiscale Registration
In the seminal paper E. Tadmor, S. Nezzar and L. Vese, A multiscale image representation using hierarchical...
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Virtual Characters
Most virtual worlds are inhabited by virtual characters; this chapter explains how to populate virtual worlds with virtual characters, especially...
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Minimization of Energy Functionals via FEM: Implementation of hp-FEM
Many problems in science and engineering can be rigorously recast into minimizing a suitable energy functional. We have been develo** efficient and...
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Research Overview on Statistical Image Analysis Conducted at Ulyanovsk State Technical University
AbstractThis paper presents a series of research findings on methods for representation, filtering, parameter estimation (including geometric...
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Modified bond-based peridynamic approach for modeling the thermoviscoelastic response of bimaterials with viscoelastic–elastic interface
This study investigates the constitutive relationships for a modified bond-based peridynamic (MBB-PD) model to analyze bimaterial structures with a...
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3D Shape Similarity Measurement Based on Scale Invariant Functional Maps
In recent years, the research focus on shape analysis has centered around the similarity and consistency of 3D models. The matching results derived...
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RealityBrush: an AR authoring system that captures and utilizes kinetic properties of everyday objects
This study introduces RealityBrush, a novel augmented reality (AR) authoring system that allows designers to quickly and easily create realistic...
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Segmentation-guided Medical Image Registration
Medical image registration methods can strongly benefit from anatomical labels, which can be provided by segmentation networks at reduced labeling...
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Inchworm Locomotive Soft Robots Actuated by a Single Pneumatic Line
Constitutive hyperelastic materials are highly useful in achieving both large deformation and compliant interaction with the environment. Due to...
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Boosting Multi-modal Ocular Recognition via Spatial Feature Reconstruction and Unsupervised Image Quality Estimation
In the daily application of an iris-recognition-at-a-distance (IAAD) system, many ocular images of low quality are acquired. As the iris part of...
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Visual Tracking by TridentAlign and Context Embedding
Recent advances in Siamese network-based visual tracking methods have enabled high performance on numerous tracking benchmarks. However, extensive...
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An improved plane strain/plane stress peridynamic formulation of the elastic–plastic constitutive law for von Mises materials
A two-dimensional ordinary state-based peridynamic formulation is proposed for the analysis of elastic–plastic plane structures. Selecting...
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Shape embedding and retrieval in multi-flow deformation
We propose a unified 3D flow framework for joint learning of shape embedding and deformation for different categories. Our goal is to recover shapes...
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Unsupervised Diffeomorphic Surface Registration and Non-linear Modelling
Registration is an essential tool in image analysis. Deep learning based alternatives have recently become popular, achieving competitive performance...