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Article
Classification of Developmental and Brain Disorders via Graph Convolutional Aggregation
While graph convolution-based methods have become the de-facto standard for graph representation learning, their applications to disease prediction tasks remain quite limited, particularly in the classificatio...
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Article
Adaptive spectral graph wavelets for collaborative filtering
Collaborative filtering is a popular approach in recommender systems, whose objective is to provide personalized item suggestions to potential users based on their purchase or browsing history. However, person...
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Article
A graph encoder–decoder network for unsupervised anomaly detection
A key component of many graph neural networks (GNNs) is the pooling operation, which seeks to reduce the size of a graph while preserving important structural information. However, most existing graph pooling ...
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Article
Ridge regression neural network for pediatric bone age assessment
Bone age is an important measure for assessing the skeletal and biological maturity of children. Delayed or increased bone age is a serious concern for pediatricians, and needs to be accurately assessed in a b...
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Article
Synthesis of COVID-19 chest X-rays using unpaired image-to-image translation
Motivated by the lack of publicly available datasets of chest radiographs of positive patients with coronavirus disease 2019 (COVID-19), we build the first-of-its-kind open dataset of synthetic COVID-19 chest ...
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Article
Open AccessWISE: a computer system performance index scoring framework
The performance levels of a computing machine running a given workload configuration are crucial for both users and providers of computing resources. Knowing how well a computing machine is running with a give...
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Article
Deep similarity network fusion for 3D shape classification
In this paper, we introduce a deep similarity network fusion framework for 3D shape classification using a graph convolutional neural network, which is an efficient and scalable deep learning model for graph-s...
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Article
Convolutional Shape-Aware Representation for 3D Object Classification
Deep learning has recently emerged as one of the most popular and powerful paradigms for learning tasks. In this paper, we present a deep learning approach to 3D shape classification using convolutional neural...
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Chapter
Shape Analysis of Carpal Bones Using Spectral Graph Wavelets
Graph signal processing is an emerging field that provides powerful tools for analyzing signals defined on graphs. In this chapter, we present a graph signal processing approach to shape analysis of carpal bon...
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Article
Shape classification using spectral graph wavelets
Spectral shape descriptors have been used extensively in a broad spectrum of geometry processing applications ranging from shape retrieval and segmentation to classification. In this paper, we propose a spectr...
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Article
Nonrigid 3D shape retrieval using deep auto-encoders
The soaring popularity of deep learning in a wide variety of fields ranging from computer vision and speech recognition to self-driving vehicles has sparked a flurry of research interest from both academia and...
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Article
A multicomponent approach to nonrigid registration of diffusion tensor images
Diffusion tensor imaging has shown promise in the early detection and diagnosis of a host of disorders and neurologic conditions. In this paper, we propose a nonrigid registration approach for diffusion tensor...
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Article
Open AccessShape Retrieval of Non-rigid 3D Human Models
3D models of humans are commonly used within computer graphics and vision, and so the ability to distinguish between body shapes is an important shape retrieval problem. We extend our recent paper which provid...
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Article
Deep shape-aware descriptor for nonrigid 3D object retrieval
Deep learning is a rapidly growing discipline that models high-level features in data as multilayered neural networks. In this paper, we propose a deep learning approach for 3D shape retrieval using a multi-le...
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Article
Deformable 3d shape retrieval using a spectral geometric descriptor
In this paper, we propose a deformable 3D shape matching and retrieval approach using a spectral skeleton that encodes nonrigid object structures. This spectral skeleton is constructed from the second eigenfun...
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Article
Retrieval and classification methods for textured 3D models: a comparative study
This paper presents a comparative study of six methods for the retrieval and classification of textured 3D models, which have been selected as representative of the state of the art. To better analyse and cont...
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Chapter
Registration of Digital Terrain Images Using Nondegenerate Singular Points
Registration of digital elevation models is a vital step in fusing sensor data. In this chapter, we present a robust topological framework for entropic image registration using Morse singularities. The core id...
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Chapter
Spectral Shape Analysis of the Hippocampal Structure for Alzheimer’s Disease Diagnosis
We present an automatic pipeline for spectral shape analysis of brain subcortical hippocampal structures with the aim to improve the Alzheimer’s Disease (AD) detection rate for early diagnosis. The hippocampus...
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Article
Online redundant image elimination and its application to wireless capsule endoscopy
Digestive tract examination has now become painless and simple with the aid of wireless capsule endoscopy (WCE). By continuously imaging and transmitting the patient’s gastrointestinal tract, the capsule can s...
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Article
Symmetry discovery and retrieval of nonrigid 3D shapes using geodesic skeleton paths
In this paper, we propose a skeleton path based approach for symmetry discovery and retrieval of nonrigid 3D shapes. The main idea is to match skeleton graphs by comparing the geodesic paths between skeleton e...
