Visita la nostra Area Ricerca Scientifica: una sezione dedicata ai professionisti del settore, dove trovare risorse ufficiali – documenti ufficiali, pubblicazioni e ricerche avanzate – sui temi di ricerca scientifica del team synbrAIn.
The paper takes a practical approach to estimating the bone age of children and young adults based on hand radiography, by constructing an end-to-end pipeline that involves bone segmentation, deep...
This paper presents a complete pipeline for automatic diagnosis of various liver masses, consisting of components based on deep learning models for both the automatic segmentation of liver and its...
This work proposes a convolutional neural network (CNN) that utilizes different combinations of parametric images computed from cine cardiac magnetic resonance (CMR) images, to classify each slice for...
To evaluate the diagnostic performance of an Artificial Intelligence (AI) algorithm, previously trained using both adult and pediatric patients, for the detection of acute appendicular fractures in...
Public displays, typically equipped with touchscreens, are used for interactions in public spaces, such as streets or fairs. Currently low-cost visual sensing technologies, such as Kinect-like devices...
Most real-world systems are characterised by dynamics and correlations emerging at multiple time scales, and are therefore referred to as complex systems. In this work, the complexity of time...
Survival of pediatric patients with brain tumor has increased over the past 20 years, and increasing evidence of iatrogenic toxicities has been reported...
Considering the large number of patients with pulmonary symptoms admitted to the emergency department daily, it is essential to diagnose them correctly...
Parkinson’s disease (PD) is a neurodegenerative disorder that produces both motor and non-motor complications, degrading the quality of life of PD patients. Over the past two decades, the use...
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...
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...
When interacting with fictional environments, the users' sense of immersion can be broken when characters act in mechanical and predictable ways...
The analysis of vocal samples from patients with Parkinson's disease (PDP) can be relevant in supporting early diagnosis and disease monitoring...
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...
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...
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...
The preliminary diagnosis and evaluation of the presence and/or severity of Parkinson’s disease is crucial in controlling the progress of the disease...
Evidence is rapidly accumulating that multifactorial nocturnal monitoring, through the coupling of wearable devices and deep learning, may be disruptive for early diagnosis and assessment of sleep...
Parkinson’s Disease (PD) is one of the most common non-curable neurodegenerative diseases. Diagnosis is achieved clinically on the basis of different symptoms with considerable delays from the onset...
The aim of the study is to show whether it is possible to predict infectious disease outbreaks early, by using machine learning...
Coeliac disease (CD) is a permanent inflammatory disease of the small intestine characterized by the destruction of the mucous membrane of this intestinal tract. Coeliac disease represents the most...
Treatment of freezing of gait (FoG) and other Parkinson disease (PD) axial symptoms is challenging. Systematic assessments of axial symptoms at progressively increasing levodopa doses are lacking. We...
he evolution of computers in recent years has given a strong boost to research techniques aimed at improving human–machine interaction. These techniques tend to simulate the dynamics of the...
Automatic assessment of speech disorders is a cutting-edge topic in vocal analysis. Recent studies indicated possible connections between eating disorders and voice alterations...
Recent advances in single-cell RNA-sequencing in order to study cells in biology, and the increasing amount of data available, led to the development of algorithms for analyzing single cells from gene...
Coeliac disease (CD) is frequently underdiagnosed with a consequent heavy burden in terms of morbidity and health care costs. Diagnosis of CD is based on the evaluation of symptoms and...
Sleep Disorders have received much attention in recent years, as they are related to the risk and pathogenesis of neurodegenerative diseases. Notably, REM Sleep Behaviour Disorder (RBD) is considered...
Voice is a reservoir of valuable health data. Recent studies highlighted its efficacy in predicting sleep quality, and its potential as biomarker of neurodegeneration...
Questo lavoro descrive un approccio per stimare la percentuale di infezione specifica da COVID-19 nel tessuto polmonare...
The study of the influence of Parkinson’s Disease (PD) on vocal signals has received much attention over the last decades. Increasing interest has been devoted to articulation and acoustic...
Automatic assessment of speech impairment is a cutting edge topic in Parkinson’s disease (PD). Language disorders are known to occur several years earlier than typical motor symptoms, thus speech...
The paper presents a comparative analysis of three distinct approaches based on deep learning for COVID-19 detection in chest CTs...
Glioma is a type of heterogeneous tumor originating in the brain, characterized by the coexistence of multiple subregions with different phenotypic characteristics, which further determine...
The actual role of landmarks labeling before three-dimensional (3D) facial acquisition is still debated. In this study, several measurements were compared among textured labeled (TL), unlabeled (NL)...
Nowadays, smart devices allow people to easily interact with the surrounding environment thanks to existing communication infrastructures, i.e., 3G/4G/5G or WiFi...
The use of Optical Coherence Tomography (OCT) in acute coronary syndromes (ACS) allows recognizing ruptured fibrous cap (RFC) and intact fibrous cap (IFC) culprit lesions. The biological differences...
In this work, we exploited the potential of a cognitive architecture to model the characters of a story in an interactive storytelling system. The system is accessible through NarRob, a humanoid...
During the last decade, touchless gestural interfaces have been widely studied as one of the most promising interaction paradigms in the context of pervasive displays. In particular, avatars and...
Despite advances in treatments, 30% to 50% of stage III-IV head and neck squamous cell carcinoma (HNSCC) patients relapse within 2 years after treatment. The Big Data to Decide (BD2Decide) project...
The three-dimensional (3D) representation of the bifurcation anatomy and disease burden is essential for better understanding of the anatomical complexity of bifurcation disease and planning of...
The paper presents and comparatively analyses several deep learning approaches to automatically detect tuberculosis related lesions in lung CTs, in the context of the ImageClef 2020 Tuberculosis task...
Advanced stage nasopharyngeal cancer (NPC) shows highly variable treatment outcomes, suggesting the need for independent prognostic factors...
In this work, we present a robotic storytelling system, where the characters have been modelled as cognitive agents embodied in Pepper and NAO robots...
The purpose of this study was to establish a methodology and technology for the development of an MRI-based radiomic signature for prognosis of overall survival (OS) in nasopharyngeal cancer from...
Knowledge about the expected interaction duration and expected distance from which users will interact with public displays can be useful in many ways...
Postural instability is one of the most troublesome motor symptoms of Parkinson’s Disease (PD). It impairs patients’ quality of life and results in high risk of falls...
Emerging data suggest that radiomics can be used to predict outcomes in SCCHN. At present, only few data are available for pre-treatment MRI...
Prognosis of extremity soft tissue sarcomas (ESTS) and retroperitoneal sarcomas (RPS) is currently estimated on clinical-pathological features, as those incorporated in the Sarculator nomogram...
The rupture of a vulnerable plaque, known as ulceration, is the most common cause of myocardial infarction. It can be recognized by angiographic features, such as prolonged intraluminal filling and...
In this paper, several radiomics-based predictive models of response to induction chemotherapy (IC) in sinonasal cancers (SNCs) are built and tested. Models were built as a combination of radiomic...
This paper describes an interactive storytelling system, accessible through the SoftBank robotic platforms NAO and Pepper...
Patients with peripheral artery disease who undergo endovascular treatment are often inflicted by in-stent restenosis. The relation between restenosis and abnormal hemodynamics may be analyzed using...
The purpose of the paper was to use a virtual phantom to identify a set of radiomic features from T1-weighted and T2-weighted magnetic resonance imaging (MRI) of the brain which is stable to...
The effect of time of repetition (TR) and time of echo (TE) on radiomic features was evaluated using a virtual phantom. Forty-two T1-weighted MRI images of the same virtual phantom were simulated with...
Patent infringement detection usually implies research among documents in different forms, in both natural and unstructured language, often involving a lot of human resources and time...
Interactive public displays have been exploited and studied for engaging interaction in several previous studies...
During the last decade, touchless gestural interfaces have been widely studied as one of the most promising interaction paradigms in the context of pervasive displays. In particular, avatars and...
Touchless gestural interaction has been widely studied and adopted in many contexts. Furthermore, the growing availability of low-cost enabling devices, such as Kinect or Leap Motion, boosted up the...
The health sector has traditionally been one of the early adopters of databases, from the most simple Electronic Health Record (formerly Computer-Based Patient Record) systems in use in general...
Reports on the 7th ACM International Symposium on Pervasive Displays that took place from June 6-8 in Munich, Germany...
Virtual Reality (VR) is more accessible than ever these days. While topics like performance, motion sickness and presence are well investigated, basic topics as VR User Interfaces (UIs) for menu...
Automatic algorithms for stent struts segmentation in optical coherence tomography (OCT) images of coronary arteries have been developed over the years, particularly with application on metallic...
Questo lavoro consiste nello sviluppo di un modello prognostico nel carcinoma a cellule squamose della cavità orale basato su caratteristiche genomiche e caratteristiche radiomiche della risonanza...
The use of plants as a mean for both visualization and interaction has been already explored in smart environments. In this work, we explore the possibility of constructing a controllable dynamic...
We present an application of a validated reconstruction methodology for the comparison between patient-specific hemodynamics and neo-intimal thickening at nine months from the intervention...
In this paper, we shortly introduce our idea of a sound-based system to overcome the display blindness, and some experiments that we are carrying out in order to test its effectiveness...
Many prior works investigated the potential of pervasive technologies and interactive applications to increase access capabilities to digital content for people with disability, particularly...
The objectives of the study are to develop a new way to assess stability and discrimination capacity of radiomic features without the need of test-retest or multiple delineations and to use...
I sistemi touchless possono favorire lʹindipendenza di pazienti a mobilità ridotta nellʹaccesso ai sistemi informativi, e quindi la prevenzione terziaria...
In the last two decades, we have witnessed a growing spread of touchless interfaces, facilitated by higher performances of computational systems, as well as the increased availability of cheaper...
Humans communicate their affective states through different media, both verbal and non-verbal, often used at the same time. The knowledge of the emotional state plays a key role to provide...
The clinical challenge of percutaneous coronary interventions (PCI) is highly dependent on the recognition of the coronary anatomy of each individual. The classic imaging modality used for PCI is...
In the last decades, we have witnessed a growing interest toward touchless gestural user interfaces. Among other reasons, this is due to the large availability of different low-cost gesture...
Lo scopo di questo studio è stato quello di valutare la stabilità e la rilevanza delle caratteristiche radiomiche per l'analisi delle immagini mediche dei sarcomi dei tessuti molli...
Gesture recognition is an emerging cross-discipline research field, which aims at interpreting human gestures and associating them to a well-defined meaning...
In the last twenty years, robotics have been applied in many heterogeneous contexts. Among them, the use of humanoid robots during musical concerts have been proposed and investigated by many authors...
Questo lavoro presenta un nuovo metodo per l'estrazione della linea centrale delle ramificazioni vascolari, utilizzando la fluidodinamica computazionale (CFD)...
In recent years, touchless-enabling technologies have been more and more adopted for providing public displays with gestural interactivity...
It is well known from prior work, that people interacting as well as attending to a public display attract further people to interact. This behavior is commonly referred to as the honeypot effect...
Public displays have been used as a persuasive technology in many prior works...
Optical coherence tomography (OCT) is an established catheter-based imaging modality for the assessment of coronary artery disease and the guidance of stent placement during percutaneous coronary...
In the last few years, the use of gestural data has become a key enabler for human-computer interaction (HCI) applications...
Twenty-five years past the Weiser’s vision of Ubiquitous Computing, and there is not a clear understanding of what is or is not a pervasive system...
Questo lavoro descrive un metodo per rilevare le emozioni dai gesti utilizzando dati gestuali e una descrizione testuale del loro significato...
One of the most common and efficient way to preserve ancient books is to digitize them, and make their content someway browsable...
Public displays have lately become ubiquitous thanks to the decreasing cost of such technology and public policies supporting the development of smart cities...
Una panoramica sulle principali tecniche utilizzate per riconoscere i gesti, sfruttando i dati ottenibili dai dispositivi “Kinect-like”...
Questo lavoro presenta due sfide legate ai display touchless in rete: superare la cecità dell'interazione ed eseguire valutazioni in natura...
Questo lavoro descrive un approccio che combina diverse tecniche di elaborazione delle immagini con l'obiettivo di estrarre le linee principali delle impronte digitali...
This paper presents a novel method to reproduce in real time the opening and closing gestures of a human hand, animating a three-dimensional model of it...
The main surgeries that can be performed in upper and middle rectal cancer are low anterior rectal resection (LAR), lateral colostomy (LC), and extended Hartmann operation with mesorectal excision...
The Microsoft Kinect sensor is largely used to detect and recognize body gestures and layout with enough reliability, accuracy and precision in a quite simple way...
This paper aims to combine intuition and practical experience in the context of ImageCLEF 2013 Plant Identification task...