George Azzopardi
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View article: Video‐Based Data‐Driven Models for Diagnosing Movement Disorders: Review and Future Directions
Video‐Based Data‐Driven Models for Diagnosing Movement Disorders: Review and Future Directions Open
Movement disorders are abnormal, involuntary movements that can heavily impact a person's quality of life. In clinical practice, diagnosis and severity assessments rely mainly on visual clinical inspections (ie, on subjective expert opinio…
View article: FaiResGAN: Fair and robust blind face restoration with biometrics preservation
FaiResGAN: Fair and robust blind face restoration with biometrics preservation Open
Modern computer vision technologies enable systems to detect, recognize, and analyze facial features, but challenges arise when images are noisy, blurred, or low quality. Blind face restoration, which aims to recover high-quality facial im…
View article: Content-based image retrieval using COSFIRE descriptors with application to radio astronomy
Content-based image retrieval using COSFIRE descriptors with application to radio astronomy Open
The morphologies of astronomical sources are highly complex, making it essential not only to classify the identified sources into their predefined categories but also to determine the sources that are most similar to a given query source. …
View article: Interactive Segmentation of Biostructures Through Hyperspectral Electron Microscopy
Interactive Segmentation of Biostructures Through Hyperspectral Electron Microscopy Open
Microscopic imaging at the nanometer level has been automated resulting in Gigabyte images, similar to Google earth. However, the absence of a ground-truth database in electron microscopy (EM) poses a challenge for automated analysis of th…
View article: PushPull-Net: Inhibition-Driven ResNet Robust to Image Corruptions
PushPull-Net: Inhibition-Driven ResNet Robust to Image Corruptions Open
We introduce a novel computational unit, termed PushPull-Conv, in the first layer of a ResNet architecture, inspired by the anti-phase inhibition phenomenon observed in the primary visual cortex. This unit redefines the traditional convolu…
View article: Content-Based Image Retrieval Using COSFIRE Descriptors with application to Radio Astronomy
Content-Based Image Retrieval Using COSFIRE Descriptors with application to Radio Astronomy Open
The morphologies of astronomical sources are highly complex, making it essential not only to classify the identified sources into their predefined categories but also to determine the sources that are most similar to a given query source. …
View article: PushPull-Net: Inhibition-driven ResNet robust to image corruptions
PushPull-Net: Inhibition-driven ResNet robust to image corruptions Open
We introduce a novel computational unit, termed PushPull-Conv, in the first layer of a ResNet architecture, inspired by the anti-phase inhibition phenomenon observed in the primary visual cortex. This unit redefines the traditional convolu…
View article: Explainable multi-layer COSFIRE filters robust to corruptions and boundary attack with application to retina and palmprint biometrics
Explainable multi-layer COSFIRE filters robust to corruptions and boundary attack with application to retina and palmprint biometrics Open
We propose a novel and versatile computational approach, based on hierarchical COSFIRE filters, that addresses the challenge of explainable retina and palmprint recognition for automatic person identification. Unlike traditional systems th…
View article: Classification of radio galaxies with trainable COSFIRE filters
Classification of radio galaxies with trainable COSFIRE filters Open
Radio galaxies exhibit a rich diversity of morphological characteristics, which make their classification into distinct types a complex challenge. To address this challenge effectively, we introduce an innovative approach for radio galaxy …
View article: Classification of Radio Galaxies with trainable COSFIRE filters
Classification of Radio Galaxies with trainable COSFIRE filters Open
Radio galaxies exhibit a rich diversity of characteristics and emit radio emissions through a variety of radiation mechanisms, making their classification into distinct types based on morphology a complex challenge. To address this challen…
View article: Fall Detection With a Nonintrusive and First-Person Vision Approach
Fall Detection With a Nonintrusive and First-Person Vision Approach Open
Falls have been widely recognized as one of the most dangerous incidents for the elderly and other people with mobility limitations. This problem has attracted wide scientific interest, which has led to several investigations based on non-…
View article: Bidirectional piecewise linear representation of time series with application to collective anomaly detection
Bidirectional piecewise linear representation of time series with application to collective anomaly detection Open
Directly mining high-dimensional time series presents several challenges, such as time and space costs. This study proposes a new approach for representing time series data and evaluates its effectiveness in detecting collective anomalies.…
View article: Deep supervised hashing for fast retrieval of radio image cubes
Deep supervised hashing for fast retrieval of radio image cubes Open
The shear number of sources that will be detected by next-generation radio surveys will be astronomical, which will result in serendipitous discoveries. Data-dependent deep hashing algorithms have been shown to be efficient at image retrie…
View article: Deep supervised hashing for fast retrieval of radio image cubes
Deep supervised hashing for fast retrieval of radio image cubes Open
The shear number of sources that will be detected by next-generation radio surveys will be astronomical, which will result in serendipitous discoveries. Data-dependent deep hashing algorithms have been shown to be efficient at image retrie…
View article: Segmentation in large-scale cellular electron microscopy with deep learning: A literature survey
Segmentation in large-scale cellular electron microscopy with deep learning: A literature survey Open
Electron microscopy (EM) enables high-resolution imaging of tissues and cells based on 2D and 3D imaging techniques. Due to the laborious and time-consuming nature of manual segmentation of large-scale EM datasets, automated segmentation a…
View article: Advances on the classification of radio image cubes
Advances on the classification of radio image cubes Open
Modern radio telescopes will daily generate data sets on the scale of exabytes for systems like the Square Kilometre Array (SKA). Massive data sets are a source of unknown and rare astrophysical phenomena that lead to discoveries. Nonethel…
View article: Pre-insemination prediction of dystocia in dairy cattle
Pre-insemination prediction of dystocia in dairy cattle Open
Dystocia or difficult calving in cattle is detrimental to the health of the afflicted cows and has a negative economic impact on the dairy industry. The goal of this study was to create a data-driven tool for predicting the calving difficu…
View article: fseval: A Benchmarking Framework for Feature Selectionand Feature Ranking Algorithms
fseval: A Benchmarking Framework for Feature Selectionand Feature Ranking Algorithms Open
The fseval Python package allows benchmarking Feature Selection and Feature Ranking algorithms on a large scale, and facilitates the comparison of multiple algorithms in a systematic way. In particular, fseval enables users to run experime…
View article: Segmentation in large-scale cellular electron microscopy with deep learning: A literature survey
Segmentation in large-scale cellular electron microscopy with deep learning: A literature survey Open
Automated and semi-automated techniques in biomedical electron microscopy (EM) enable the acquisition of large datasets at a high rate. Segmentation methods are therefore essential to analyze and interpret these large volumes of data, whic…
View article: Camera model identification based on forensic traces extracted from homogeneous patches
Camera model identification based on forensic traces extracted from homogeneous patches Open
A crucial challenge in digital image forensics is to identify the source camera model used to generate given images. This is of prime importance, especially for Law Enforcement Agencies in their investigations of Child Sexual Abuse Materia…