Francesco Rundo

STMicroelectronics | ST · ADG - Advanced Central R&D

Smartwatches for fitness tracking are more and more popular, cheap and precise in Heart Rate measurement. In this device, the measure of the cardiac rhythm is based on the usage of such optical sensors sensitive to the capillary blood flow. About the heart rate assessment, the mentioned optical method is a robust replacement of the classic Electroc...

The wide diffusion of wearable sensors and mobile devices encouraged the study of biometric recognition techniques that require a low level of cooperation from users. Among them, the analysis of cardiac information extracted from plethysmographic (PPG) signals is attracting the research community due to the possibility of performing continuous auth...

From a biological point of view, alcohol human attentional impairment occurs before reaching a Blood Alcohol Content (BAC index) of 0.08% (0.05% under the Italian legislation), thus generating a significant impact on driving safety if the drinker subject is driving a car. Car drivers must keep a safe driving dynamic, having an unaltered physiologic...

The robust identification, tracking and monitoring of driving-scenario moving objects represents an extremely critical task in the safe driving target of the latest generation cars. This accomplishment becomes even more difficult in a poor light driving scenarios such as driving at night or in rough weather conditions. Since the driving detected ob...

The modern Advanced Driver Assistance Systems (ADAS) contributed to reduce road accidents due to the driver’s inexperience or unexpected scenarios. ADAS technologies allow the intelligent monitoring of the driving scenario. Recently, estimation of the visual saliency i.e. the part of the visual scene in which the driver put high visual attention ha...

In this work, we propose a 3D fully convolutional architecture for video saliency prediction that employs hierarchical supervision on intermediate maps (referred to as conspicuity maps ) generated using features extracted at different abstraction levels. We provide the base hierarchical learning mechanism with two techniques for domain adaptation a...

COVID-19 diagnosis using chest x-ray (CXR) imaging has a greater sensitivity and faster acquisition procedures than the Real-Time Polimerase Chain Reaction (RT-PCR) test, also requiring radiology machinery that is cheap and widely available. To process the CXR images, methods based on Deep Learning (DL) are being increasingly used, often in combina...

The detection of moving objects, animals, or pedestrians, as well as static objects such as road signs, is one of the fundamental tasks for assisted or self-driving vehicles. This accomplishment becomes even more difficult in low light conditions such as driving at night or inside road tunnels. Since the objects found in the driving scene represent...

A method includes receiving a time series of slice images of medical imaging. The images have a region of interest located at a lung lesion. The method also includes tracking over at least one subset of slice images in a time series of slice images variations over time of at least one image parameter at the set of points in the region of interest....

COVID-19 diagnosis using chest x-ray (CXR) imaging has a greater sensitivity and faster acquisition procedures than the Real-Time Polimerase Chain Reaction (RT-PCR) test, also requiring radiology machinery that is cheap and widely available. To process the CXR images, methods based on Deep Learning (DL) are being increasingly used, often in combina...

Explainable autonomous driving systems (EADS) are emerging recently as a combination of explainable artificial intelligence (XAI) and vehicular automation (VA). EADS explains events, ambient environments, and engine operations of an autonomous driving vehicular, and it also delivers explainable results in an orderly manner. Explainable semantic seg...

In the last few years, medical researchers have investigated promising approaches for cancer treatment, leading to a major interest in the immunotherapeutic approach. The target of immunotherapy is to boost a subject’s immune system in order to fight cancer. However, scientific studies confirmed that not all patients have a positive response to imm...

Car driving safety represents one of the major targets of the ADAS (Advanced Driver Assistance Systems) technologies deeply investigated by the scientific community and car makers. From intelligent suspension control systems to adaptive braking systems, the ADAS solutions allows to significantly improve both driving comfort and safety. The aim of t...

A stereopair consists of two pictures related to the same subject taken by two different points of view. Since the two images contain a high amount of redundant information, new compression approaches and data formats are continuously proposed, which aim to reduce the space needed to store a stereoscopic image while preserving its quality. A standa...

In recent years, the automotive field has been changed by the accelerated rise of new technologies. Specifically, autonomous driving has revolutionized the car manufacturer’s approach to design the advanced systems compliant to vehicle environments. As a result, there is a growing demand for the development of intelligent technology in order to mak...

Recently, much interest has been aroused by scientific community regarding visual saliency-based applications. The proposed approach contributes to the progressive growth of knowledge of video saliency applications in the automotive field. Through the visual saliency detection, the car driver assistance systems (ADAS i.e. Advanced Driver Assistance...

In medical field, many cardiovascular and correlated diseases can be early treated by monitoring and analyzing the subject’s blood pressure (BP). However, the measurement of blood pressure requires the use of invasive medical and health equipment, including the classical sphygmomanometer or the digital pressure meter. In this paper, we proposed an...

COVID-19 infection caused by SARS-CoV-2 pathogen has been a catastrophic pandemic outbreak all over the world, with exponential increasing of confirmed cases and, unfortunately, deaths. In this work we propose an AI-powered pipeline, based on the deep-learning paradigm, for automated COVID-19 detection and lesion categorization from CT scans. We fi...

An embodiment method comprises collecting at least one electrophysiological signal of a human over a limited time duration , and computing a set of electrophysiological signal features. The computing comprises at least one of : providing at least one reference electrophysiological signal and applying dynamic time warping processing to the at least...

Introduction: Immunotherapy is effective in a small percentage of patients with cancer and no reliable predictive biomarkers are currently available. Artificial Intelligence algorithms may automatically quantify radiologic characteristics associated with disease response to medical treatments. Methods: We investigated an innovative approach base...

Immunotherapy is one of the most interesting and promising cancer treatments. Encouraging results have confirmed the effectiveness of immunotherapy drugs for treating tumors in terms of long-term survival and a significant reduction in toxicity compared to more traditional chemotherapy approaches. However, the percentage of patients eligible for im...

Nowadays, the number of mobile, wearable, and embedded devices integrating sensors for acquiring cardiac signals is constantly increasing. In particular, plethysmographic (PPG) sensors are widely diffused thanks to their small form factor and limited cost. For example, PPG sensors are used for monitoring cardiac activities in automotive application...

The latest generation cars are often equipped with advanced driver assistance systems, usually known as ADAS (Advanced Driver Assistance Systems). These systems are able to assist the car driver by leveraging several levels of automation. Therefore, it is essential to adapt the ADAS technology to the car driver’s identity to personalize the provide...

COVID-19 infection caused by SARS-CoV-2 pathogen is a catastrophic pandemic outbreak all over the world with exponential increasing of confirmed cases and, unfortunately, deaths. In this work we propose an AI-powered pipeline, based on the deep-learning paradigm, for automated COVID-19 detection and lesion categorization from CT scans. We first pro...

Saliency detection is a fundamental process of human visual perception, since it allows us to identify the most important parts of a scene, directing our analysis and interpretation capabilities on a reduced set of information and reducing reaction times. However, current approaches for automatic saliency detection either attempt to mimic human cap...

Immunotherapy is one of the most interesting and promising cancer treatments. Encouraging results have confirmed the effectiveness of immunotherapy drugs for treating tumors in terms of long-term sur- vival and a significant reduction in toxicity compared to more traditional chemotherapy approaches. However, the percentage of patients eligible for...

Thelatestgenerationcarsareoftenequippedwithadvanceddriver assistance systems, usually known as ADAS (Advanced Driver Assistance Sys- tems). These systems are able to assist the car driver by leveraging several lev- els of automation. Therefore, it is essential to adapt the ADAS technology to the car driver’s identity to personalize the provided ass...

In the last decade, deep learning models have yielded impressive performance on visual object recognition and image classification. However these methods still rely on learning visual data distributions and show difficulties in dealing with complex scenarios where visual appearance only is not enough to effectively tackle them. This is the case, fo...

Foreword Start-up future It has felt like Covid-19 had a stranglehold on us. But we haven‘t allowed ourselves to be defeated. On the contrary, we are taking advantage of the opportunities that arise as a result. Not only the long-overdue push towards digitalization, for example, but also the time gained by making fewer journeys. Those who show stre...

Immunotherapy is regarded as one of the most significant breakthroughs in cancer treatment. Unfortunately, only a small percentage of patients respond properly to the treatment. Moreover, to date, there are no efficient bio-markers able to early discriminate the patients eligible for this treatment. In order to help overcome these limitations, an i...

Recently, Advanced Driver Assistance System solutions (ADAS) are significantly contributing to the increase in driving safety levels. ADAS leverages the capability of taking active control of vehicle to prevent potentially dangerous situations. Specifically, researchers have investigated the analysis of the car driver attention level. Recent report...

The continuing evolution of technologies in the automotive industry has led to the development of the socalled Advanced Driver Assistance Systems (ADAS). ADAS is the term used to describe vehicle-based intelligent safety systems designed to support the driver, with the aim to significantly improve his safety, and the driving safety in general. In t...

Visual saliency is the human attention mechanism that encodes such visio-sensing information to extract features from the observation scene. In the last few years, visual saliency estimation has received significant research interests in the automotive field. While driving the vehicle, the car driver focuses on specific objects rather than others b...

Recent statistics confirmed that the car driver drowsiness monitoring reduces drastically the road accidents. In scientific literature, several advanced approaches have been proposed to monitor the driver’s level of attention, providing a real-time warning to increase driving safety. With this aim, we propose an innovative method which consists of...

In this work, we propose a 3D fully convolutional architecture for video saliency detection that employs multi-head supervision on intermediate maps (referred to as conspicuity maps) generated using features extracted at different abstraction level. More specifically, the model employs a single encoder and features extracted at different levels are...

PurposeTo evaluate adherence to abiraterone or enzalutamide for the treatment of metastatic castration-resistant prostate cancer (mCRPC).Methods In an observational prospective cohort study, we monitored patients with mCRPC for their adherence to abiraterone or enzalutamide in the pre- or post-chemotherapy setting.ResultsFifty-eight patients with m...

Being able to estimate the traversability of the area surrounding a mobile robot is a fundamental task in the design of a navigation algorithm. However, the task is often complex, since it requires evaluating distances from obstacles, type and slope of terrain, and dealing with non-obvious discontinuities in detected distances due to perspective. I...

The latest generation of cars are increasingly equipped with driver assistance systems called ADAS (advanced driver assistance systems) which are able to assist the car driver in different driving scenarios, and in the most advanced automation levels, able to take over driving the car if required due to dangerous situations. Therefore, it is essent...

Purpose: To identify patients with metastatic urothelial cancer (mUC) unlikely to benefit from immune-checkpoint inhibitors (ICIs). Methods/patients: We explored the predictive and prognostic values of baseline neutrophil-to-lymphocyte ratio (NLR), with cut-offs ≥ 3 and ≥ 5, and of a urothelial immune prognostic index (UIPI, based on increased N...

Recent developments in the automotive industry have led to an interest in monitoring car driver drowsiness. The purpose is to develop an efficient system for the detection of bad psychophysical states in order to reduce the number of fatigue-related car accidents. Much of the current literature pays particular attention to the study of physiologica...

Integrating human-provided location priors into video object segmentation has been shown to be an effective strategy to enhance performance, but their application at large scale is unfeasible. Gamification can help reduce the annotation burden, but it still requires user involvement. We propose a video object segmentation framework that leverages t...

A method includes receiving a video signal that comprises a time series of images of a face of a human , wherein the images in the time series of images comprise a set of landmark points in the face , applying tracking processing to the video signal to reveal variations over time of at least one image parameter at the set of landmark points in the...

Recenti statistiche hanno confermato che Il problema legato al cattivo funzionamento della giustizia in Italia, è tra i temi piu' dibat-tuti, tanto da essere quotidianamente menzionato sulla stampa nazionale. La lungaggine dei processi sia in sede civile che penale è certamente, tra tutti, il problema che maggiormente penalizza (e paralizza) il sis...

The analysis of financial data represents a challenge that researchers had to deal with. The rethinking of the basis of financial markets has led to an urgent demand for developing innovative models to understand financial assets. In the past few decades, researchers have proposed several systems based on traditional approaches, such as autoregress...

Introduction: The treatment of metastatic urothelial cancer (mUC) following first-line standard platinum-based chemotherapy and immune checkpoint inhibitors (ICIs) is not yet established. Material and methods: We investigated the activity and toxicity of vinflunine at the dose, due to previous treatments, of 280 mg i.v. every 21 days until disea...

High-frequency trading is a method of intervention on the financial markets that uses sophisticated software tools, and sometimes also hardware, with which to implement high-frequency negotiations, guided by mathematical algorithms, that act on markets for shares, options, bonds, derivative instruments, commodities, and so on. HFT strategies have r...

A key objective of modern medicine is precision medicine, whose purpose is to personalize the treatment based on the specific characteristics of the patients and their illness. To guide treatment decisions, it is generally necessary to have a sample of the neoplastic tissue, which is obtained only with biopsies or similar invasive surgical procedur...

Un nutrito numero di controversie giudiziali e stragiudiziali, che investono a vario titolo le sezioni specializzate dei tribunali italiani, è alimentato da contestazioni relative ai criteri di inquadramento professionale dei dipendenti. Troviamo spesso contrapposte: i) richieste (legittime o meno) del lavoratore; ii) richieste dei sindacati; iii)...

Within the realm of information extraction from documents, detection of tables and charts is particularly needed as they contain a visual summary of the most valuable information contained in a document. For a complete automation of the visual information extraction process from tables and charts, it is necessary to develop techniques that localize...

The treatment of metastatic urothelial cancer (mUC) following first-line standard platinum based chemotherapy and immune checkpoint inhibitors (ICIs) is not yet established. Material and methods. We investigated the activity and toxicity of vinflunine at the dose, due to previous treatments, of 280 mg i.v. every 21 days until disease progression or...

Skin cancer is the most common type of cancer, as also among the riskiest in the medical oncology field. Skin cancer is more common in people who work or practice outdoor sports and those that expose themselves to the sun. It may also develop years after radiographic therapy or exposure to substances that cause cancer (e.g., arsenic ingestion). Num...

A method of processing electrophysiological signals includes: receiving, over a limited time duration, sample electrocardiography (ECG) signals indicative of heart pulsatile activity occurring with a variable heart rate, wherein receiving the sample ECG signals is discontinued at an expiry of the limited time duration; receiving photoplethysmograph...

Blood pressure signals are reconstructed from PhotoPlethysmoGraphy (PPG) signals by: receiving PPG signals including systolic, diastolic and dicrotic phases; and determining first and second derivatives of the PPG signals and: a first set of values indicative of lengths of the signal paths of the PPG signal, the first derivative and the second deri...

In next-generation cars, safety equipment related to assisted driving systems commonly known as ADAS (advanced driver-assistance systems) are of particular interest for the major car-makers. When we talk about the "ADAS system", we mean the devices and sensors having the precise objective of improving and making car driving safer, and among which i...

Immunotherapy by immune checkpoint inhibitors has emerged as an effective treatment for a slight proportion of patients with aggressive tumors. Currently, some molecular determinants, such as the expression of the programmed cell death ligand-1 (PD-L1) or the tumor mutational burden (TMB) have been used in the clinical practice as predictive biomar...

Algoritmi e sistemi basati sull'utilizzo di moderne tecniche di Deep Learning per applicazioni nel campo Heathcare

The proposed pipeline herein described, is suitable to address a common and challenge issue to reconstruct Drowsiness of the driver (before and during the driving). It is well-defined the correlation between HRV(Heart Rate Variability) and drowsiness but the issue is that for computing HRV, a robust and effective ECG timeserie is needed so that it...

The proposed bio-inspired pipeline is suitable to address a common and challenge issue: Drowsiness tracking of the car-driver (before and during the driving) from Heart Rate Variability(HRV) estimation. It is well-defined the correlation between HRV and drowsiness but the issue is that for computing HRV, a robust and effective ECG timeserie is need...

The proposal herein described, is suitable to address a common and challenge issue to reconstruct Drowsiness of the driver (before and during the driving). It is well-defined the correlation between HRV(Heart Rate Variability) and drowsiness but the issue is that for computing HRV, a robust and effective ECG timeserie is needed so that it is clear...

Il trading algoritmico ha permesso di analizzare una considerevole quantità di dati, in un tempo piuttosto ridotto, con l’obiettivo di eseguire operazioni con profitto medio-alto e rischio contenuto. L’obiettivo è quello di elaborare una notevole mole di dati che non derivano unicamente dai contesti economici-finanziari. Si vogliono apportare dei m...