Computer vision and deep learning techniques for pedestrian detection and tracking: A survey

A Brunetti, D Buongiorno, GF Trotta, V Bevilacqua - Neurocomputing, 2018 - Elsevier
Pedestrian detection and tracking have become an important field in the computer vision
research area. This growing interest, started in the last decades, might be explained by the …

A low-cost vision system based on the analysis of motor features for recognition and severity rating of Parkinson's Disease

D Buongiorno, I Bortone, GD Cascarano… - BMC Medical Informatics …, 2019 - Springer
Background Assessment and rating of Parkinson's Disease (PD) are commonly based on
the medical observation of several clinical manifestations, including the analysis of motor …

A comparison between two semantic deep learning frameworks for the autosomal dominant polycystic kidney disease segmentation based on magnetic resonance …

V Bevilacqua, A Brunetti, GD Cascarano… - BMC Medical Informatics …, 2019 - Springer
Background The automatic segmentation of kidneys in medical images is not a trivial task
when the subjects undergoing the medical examination are affected by Autosomal Dominant …

Gait analysis and parkinson's disease: Recent trends on main applications in healthcare

I Bortone, D Buongiorno, G Lelli, A Di Candia… - … 16-20, 2018, Pisa, Italy 5, 2019 - Springer
There is an increasing interest in the use of Gait Analysis (GA) in Parkinson's Disease (PD),
however no one has previously investigated what are the principal trends on the main …

[HTML][HTML] Early diagnosis of Parkinson's disease using a hybrid method of least squares support vector regression and fuzzy clustering

H Ahmadi, L Huo, G Arji, A Sheikhtaheri… - Biocybernetics and …, 2024 - Elsevier
Parkinson's disease (PD) is a neurodegenerative disorder that influence brain's
neurological, behavioral, and physiological functions and includes motor and nonmotor …

Validity Analysis of WalkerViewTM Instrumented Treadmill for Measuring Spatiotemporal and Kinematic Gait Parameters

M Bravi, C Massaroni, F Santacaterina, J Di Tocco… - Sensors, 2021 - mdpi.com
The detection of gait abnormalities is essential for professionals involved in the rehabilitation
of walking disorders. Instrumented treadmills are spreading as an alternative to overground …

Assessment and rating of movement impairment in parkinson's disease using a low-cost vision-based system

D Buongiorno, GF Trotta, I Bortone, N Di Gioia… - … Conference, ICIC 2018 …, 2018 - Springer
Assessment and rating of Parkinson's Disease (PD) are commonly based on the medical
observation of several clinical manifestations, including the analysis of motor activities. In …

A supervised approach to classify the status of bone mineral density in post-menopausal women through static and dynamic baropodometry

I Bortone, GF Trotta, GD Cascarano… - … Joint Conference on …, 2018 - ieeexplore.ieee.org
Osteoporosis is characterized by low Bone Mineral Density (BMD). This illness has a
highcost impact in all developed countries. In this work, we propose a supervised approach …

Proposal of a health care network based on big data analytics for PDs

L Carnimeo, GF Trotta, A Brunetti… - The Journal of …, 2019 - Wiley Online Library
Health care networks for Parkinson's disease (PD) already exist and have been already
proposed in the literature, but most of them are not able to analyse the vast volume of data …

Influence of clinical features of the spine on Gait Analysis in adolescent with idiopathic scoliosis

I Bortone, A Piazzolla, D Buongiorno… - 2020 IEEE …, 2020 - ieeexplore.ieee.org
Adolescent Idiopathic Scoliosis is a three dimensional spinal deformity, that may lead to the
development of a pathological gait pattern. Since the last three decades, Gait Analysis has …