Exploitation of DarT/DarG biology for a rational design of antimicrobial agents

Antibiotic resistant "superbugs" represent a major public health concern of the last 21th century, with an expected number of ten million deaths per year by 2050. Antimicrobial resistance occurs in a wide range of infectious diseases and it is promoted by the activation…

Continua a leggereExploitation of DarT/DarG biology for a rational design of antimicrobial agents

Analyzing domain shift when using additional data for the MICCAI KiTS23 Challenge

Using additional training data is known to improve the results, especially for medical image 3D segmentation where there is a lack of training material and the model needs to generalize well from few available data.

Continua a leggereAnalyzing domain shift when using additional data for the MICCAI KiTS23 Challenge

Automated Stabilization, Enhancement and Capillaries Segmentation in Videocapillaroscopy

Oral capillaroscopy is a critical and non-invasive technique used to evaluate microcirculation. Its ability to observe small vessels in vivo has generated significant interest in the field. Capillaroscopy serves as an essential tool for diagnosing and prognosing various pathologies, with anatomic–pathological lesions playing a crucial role in their progression.

Continua a leggereAutomated Stabilization, Enhancement and Capillaries Segmentation in Videocapillaroscopy

Enhancing video game experience with playtime training and tailoring of virtual opponents: Using Deep Q-Network based Reinforcement Learning on a Multi-Agent Environment

When interacting with fictional environments, the users' sense of immersion can be broken when characters act in mechanical and predictable ways.

Continua a leggereEnhancing video game experience with playtime training and tailoring of virtual opponents: Using Deep Q-Network based Reinforcement Learning on a Multi-Agent Environment

Robust and language-independent acoustic features in Parkinson’s disease

The analysis of vocal samples from patients with Parkinson's disease (PDP) can be relevant in supporting early diagnosis and disease monitoring.

Continua a leggereRobust and language-independent acoustic features in Parkinson’s disease

Teeth Segmentation in Panoramic Dental X-ray Using Mask Regional Convolutional Neural Network

Accurate instance segmentation of teeth in panoramic dental X-rays is a challenging task due to variations in tooth morphology and overlapping regions. In this study, we propose a new algorithm, for instance, segmentation of the different teeth in panoramic dental X-rays.

Continua a leggereTeeth Segmentation in Panoramic Dental X-ray Using Mask Regional Convolutional Neural Network

Measurement of Acute Pain in the Pediatric Emergency Department Through Automatic Detection of Behavioral Parameters

Proponiamo un sistema basato su telecamera per fornire una valutazione oggettiva e senza contatto del dolore nei bambini.

Continua a leggereMeasurement of Acute Pain in the Pediatric Emergency Department Through Automatic Detection of Behavioral Parameters

Automatic Detection of Myotonia using a Sensory Glove with Resistive Flex Sensors and Machine Learning Techniques

This paper deals with the automatic detection of Myotonia from a task based on the sudden opening of the hand. Data have been gathered from 44 subjects, divided into 17 controls and 27 myotonic patients, by measuring a 2-point articulation of each finger thanks to a calibrated sensory glove equipped with a Resistive Flex Sensor (RFS).

Continua a leggereAutomatic Detection of Myotonia using a Sensory Glove with Resistive Flex Sensors and Machine Learning Techniques

Hallmarks of Parkinson’s disease progression determined by temporal evolution of speech attractors in the reconstructed phase-space

Parkinson’s disease (PD) is one of the most widespread neurodegenerative diseases worldwide, affected by a number of alterations, among which speech impairments that, interestingly, manifests up to 10 years before other major evidences (e.g. motor impairments).

Continua a leggereHallmarks of Parkinson’s disease progression determined by temporal evolution of speech attractors in the reconstructed phase-space

Machine learning- and statistical-based voice analysis of Parkinson’s disease patients: A survey

The preliminary diagnosis and evaluation of the presence and/or severity of Parkinson’s disease is crucial in controlling the progress of the disease.

Continua a leggereMachine learning- and statistical-based voice analysis of Parkinson’s disease patients: A survey

No more posts to load