DONISI, Leandro
 Distribuzione geografica
Continente #
EU - Europa 3.414
AS - Asia 1.996
NA - Nord America 1.984
SA - Sud America 364
Continente sconosciuto - Info sul continente non disponibili 134
AF - Africa 29
OC - Oceania 1
Totale 7.922
Nazione #
RU - Federazione Russa 2.682
US - Stati Uniti d'America 1.883
SG - Singapore 639
CN - Cina 536
IT - Italia 447
BR - Brasile 297
HK - Hong Kong 277
VN - Vietnam 177
KR - Corea 159
IE - Irlanda 84
IN - India 80
CA - Canada 65
DE - Germania 41
GB - Regno Unito 37
JP - Giappone 28
NL - Olanda 28
AR - Argentina 23
TR - Turchia 20
EC - Ecuador 17
FI - Finlandia 16
FR - Francia 15
BD - Bangladesh 12
ES - Italia 12
CO - Colombia 10
MX - Messico 9
CR - Costa Rica 8
IQ - Iraq 8
TW - Taiwan 8
ID - Indonesia 7
AT - Austria 6
BE - Belgio 6
PL - Polonia 6
TH - Thailandia 6
UZ - Uzbekistan 6
VE - Venezuela 6
KE - Kenya 5
MA - Marocco 5
SE - Svezia 5
ZA - Sudafrica 5
CZ - Repubblica Ceca 4
GT - Guatemala 4
HN - Honduras 4
KG - Kirghizistan 4
NP - Nepal 4
PY - Paraguay 4
TN - Tunisia 4
UA - Ucraina 4
AE - Emirati Arabi Uniti 3
CL - Cile 3
DZ - Algeria 3
EE - Estonia 3
EG - Egitto 3
LT - Lituania 3
PK - Pakistan 3
SA - Arabia Saudita 3
AZ - Azerbaigian 2
CH - Svizzera 2
DO - Repubblica Dominicana 2
GR - Grecia 2
JM - Giamaica 2
JO - Giordania 2
NO - Norvegia 2
PE - Perù 2
PR - Porto Rico 2
SV - El Salvador 2
TT - Trinidad e Tobago 2
AL - Albania 1
AM - Armenia 1
AU - Australia 1
BA - Bosnia-Erzegovina 1
BN - Brunei Darussalam 1
BO - Bolivia 1
BY - Bielorussia 1
CY - Cipro 1
DK - Danimarca 1
ET - Etiopia 1
GE - Georgia 1
IS - Islanda 1
KW - Kuwait 1
LA - Repubblica Popolare Democratica del Laos 1
LB - Libano 1
LY - Libia 1
MT - Malta 1
MU - Mauritius 1
MY - Malesia 1
NG - Nigeria 1
NI - Nicaragua 1
PH - Filippine 1
PS - Palestinian Territory 1
PT - Portogallo 1
QA - Qatar 1
RO - Romania 1
RS - Serbia 1
TJ - Tagikistan 1
UY - Uruguay 1
Totale 7.788
Città #
Moscow 966
San Jose 527
Santa Clara 301
Hong Kong 272
Singapore 244
Ashburn 234
Hefei 185
Council Bluffs 179
Seoul 151
Dublin 84
Beijing 77
Bengaluru 67
Ho Chi Minh City 57
Milan 57
Naples 49
Hanoi 40
Rome 32
New York 28
São Paulo 28
Boardman 21
Miano 21
Montreal 20
The Dalles 19
Chicago 17
Phoenix 17
Da Nang 16
Los Angeles 16
Dallas 15
Princeton 14
Toronto 14
Istanbul 12
Falkenstein 11
Turku 10
Amsterdam 9
Bari 9
Belo Horizonte 9
North Bergen 9
Rio de Janeiro 9
Bologna 8
Brooklyn 8
Caivano 8
Haiphong 8
Nuremberg 8
Porto Alegre 8
San Francisco 8
Bogotá 7
Brasília 7
Campobasso 7
Guayaquil 7
Poggiomarino 7
Pomigliano d'Arco 7
San José 7
Aversa 6
Bangkok 6
Brussels 6
Dortmund 6
Hải Dương 6
London 6
Mexico City 6
Tianjin 6
Turin 6
Viterbo 6
Warsaw 6
West Jordan 6
Atlanta 5
Belfast 5
Calgary 5
Madrid 5
Miami 5
Orem 5
Padua 5
Ribeirão Preto 5
Shanghai 5
Stockholm 5
Tashkent 5
Bacoli 4
Baghdad 4
Bishkek 4
Brno 4
Buffalo 4
Cercola 4
Charlotte 4
Curitiba 4
Frankfurt am Main 4
Helsinki 4
Jinan 4
João Pessoa 4
Munich 4
Nairobi 4
Salvador 4
San Diego 4
Sarno 4
Ankara 3
Biên Hòa 3
Can Tho 3
Caratinga 3
Columbus 3
Crispano 3
Denver 3
Ercolano 3
Totale 4.170
Nome #
A Combined Use of Radiomics and Connectomics to Classify Sex and Age in Healthy Subjects: The New “Radioconnectomics” Paradigm 169
Agreement of Global Topological Properties of EEG Connectomes as Estimated from Phase-Locking Values and Cross-Correlation Coefficients 132
A Multiparameter Statistical Approach for Cardiotocographic Signals Analysis 125
Combining radiomics and connectomics in MRI studies of the human brain: A systematic literature review 125
Ataxia and Parkinson's disease patients classification using tree-based machine learning algorithms fed by spatiotemporal features: a pilot study 123
A Logistic Regression Model for Biomechanical Risk Classification in Lifting Tasks 118
Combining Postural Sway Parameters and Machine Learning to Assess Biomechanical Risk Associated with Load-Lifting Activities 118
Study of Agreement between two Wereable Inertial Systems for Gait Analysis based on a different sensor placement: G-Walk System and Opal System 117
A General Framework for Closed Loop Negative Feedback Multivariable Physiological Control Systems: Existence, Uniqueness, and Stability of Homeostatic Equilibrium Points 115
An automatic procedure to classify biomechanical risk classes associated to lifting activities according to the Revised NIOSH Lifting Equation 112
Validity of Wearable Inertial Sensors for Gait Analysis: A Systematic Review 112
Benchmarking between two wearable inertial systems for gait analysis based on a different sensor placement using several statistical approaches 112
Impact of hospital infections in the clinical medicine area of Federico II University Hospital of Naples assessed by means of statistical analysis and logistic regression 112
sEMG Spectral Analysis and Machine Learning Algorithms Are Able to Discriminate Biomechanical Risk Classes Associated with Manual Material Liftings 112
Experimental validation of an e-textile t-shirt for ECG monitoring 111
Postural Sway Parameters are Useful to Discriminate Biomechanical Risk Classes Associated with Load Lifting 110
A General Approach for the Modelling of Negative Feedback Physiological Control Systems 110
A Sensitivity Analysis of Symbolic Dynamics indices for Fetal Heart Rate Monitoring 110
A combined simulation and machine learning approach to classify severity of infarction patients 110
Backpack Influence on Kinematic Parameters related to Timed Up and Go (TUG) Test in School Children 110
Benchmarking between a Sensorized E-textile Sock for Remote Monitoring and a Stereophotogrammetric System 109
Biomechanical Risk Evaluation Through Machine Learning Algorithms Fed with Features Extracted From sEMG of Neck Extensors 109
Bidimensional and Tridimensional Poincaré Maps in Cardiology: A Multiclass Machine Learning Study 108
Binary Risk vs No-Risk Classification of Load Lifting Activities Using Features Extracted from sEMG Trapezius Muscle 108
A Combined Radiomics and Machine Learning Approach to Distinguish Clinically Significant Prostate Lesions on a Publicly Available MRI Dataset 107
A multiple linear regression approach to extimate lifted load from features extracted from inertial data 106
Feasibility of machine learning algorithms fed with frequency-domain features extracted from inertial signals to classify safe and unsafe postures during lifting tasks 105
Agreement between Opal and G-Walk Wearable Inertial Systems in Gait Analysis on Normal and Pathological Subjects 105
Feasibility of Machine Learning applied to Poincaré Plot Analysis on Patients with CHF 104
Machine Learning Approaches in Parkinson's Disease 104
Analysis of Test-Retest Repeatability of Gait Analysis Parameters in Hereditary Spastic Paraplegia 104
Agreement between Optoelectronic System and Wearable Sensors for the Evaluation of Gait Spatiotemporal Parameters in Progressive Supranuclear Palsy 103
Mild Cognitive Impairment Subtypes Are Associated With Peculiar Gait Patterns in Parkinson's Disease 101
Capability of Machine Learning Algorithms to Classify Safe and Unsafe Postures during Weight Lifting Tasks Using Inertial Sensors 101
Machine Learning and Biosignals are able to discriminate biomechanical risk classes according to the Revised NIOSH Lifting Equation 101
Evaluation of a New Endobronchial Double Lumen Tube with Integrated Camera: A Hospital Based HTA Experience 100
A Machine Learning approach to classify ventilatory efficiency 100
Early classification of functional connectomes in Parkinson’s disease: a comparison of machine learning classifiers using multi-scale topological features 98
Gait analysis to quantitatively classify Ataxia and Parkinson’s disease patients: a pilot study using tree-based Machine Learning algorithms 97
Machine Learning Evaluation of Biliary Atresia Patients to Predict Long-Term Outcome after the Kasai Procedure 96
Gait asymmetry in stroke patients with unilateral spatial neglect 94
The impact of ankle-foot orthosis on walking features of drop foot patients 94
The E-Textile for Biomedical Applications: A Systematic Review of Literature 93
Repeatability of Spatio-Temporal Gait Measurements in Parkinson's Disease 93
Feasibility of Tree-Based Machine Learning Models to Discriminate Safe and Unsafe Posture During Weight Lifting 93
Combined mechanistic modeling and machine-learning approaches in systems biology – A systematic literature review 92
Comparing the Prognostic Value of Stress Myocardial Perfusion Imaging by Conventional and Cadmium-Zinc Telluride Single-Photon Emission Computed Tomography through a Machine Learning Approach 91
Gait Analysis using Wearable E-Textile Sock: an Experimental Study of Test-Retest Reliability 90
Positive impact of short-term gait rehabilitation in Parkinson patients: a combined approach based on statistics and machine learning 88
Development of a Prototype E-Textile Sock 88
Experimental Development and Validation of an E-Textile Sock Prototype 88
Statistical correlation analysis between kinematic features and clinical indexes and scales for obese patients 87
Effects of the school backpack on the kinematics of walking: Is a mechanical overload potentially causing musculoskeletal disorders in developmental age? 86
Potential Biomechanical Overload on Skeletal Muscle Structures in Students During Walk with Backpack 85
Using Features Extracted from Upper Limb Reaching Tasks to Detect Parkinson's Disease by Means of Machine Learning Models 85
Biomechanical risk classification according to NIOSH in workers affected by occupational pathologies 85
Design and Validation of an E-Textile-Based Wearable Sock for Remote Gait and Postural Assessment 85
Feasibility of Tree-based Machine Learning algorithms fed with surface electromyographic features to discriminate risk classes according to NIOSH 85
Work-Related Risk Assessment According to the Revised NIOSH Lifting Equation: A Preliminary Study Using a Wearable Inertial Sensor and Machine Learning 85
Machine Learning applied on Poincaré Analyisis to discriminate different cardiac issues 84
Influence of the Backpack on School Children’s Gait: A Statistical and Machine Learning Approach 83
Extracting Features from Poincaré Plots to Distinguish Congestive Heart Failure Patients According to NYHA Classes 83
Discrete Event Simulation to Improve Clinical Consultations in a Rehabilitation Cardiology Unit 82
Machine Learning for Biomedical Applications 81
Distinguishing Stroke patients with and without Unilateral Spatial Neglect by means of Clinical Features: a Tree-based Machine Learning Approach 81
Detecting Parkinson’s disease through an upper limb reaching task and a machine learning approach 81
Direct Current Stimulation of Prefrontal Cortex Is Not Effective in Progressive Supranuclear Palsy: A Randomized Trial 79
Rehabilitation Outcome in Patients undergone Hip or Knee Replacement Surgery using Inertial Technology for Gait Analysis 79
Reliability of kinematic parameters related to the Timed Up and Go Test in patients with gait impairments 78
Predicting lifestyle using BioVRSea multi-biometric paradigms 77
Towards defining biomarkers to evaluate concussions using virtual reality and a moving platform (BioVRSea) 77
Medical Technologies Procurement, Management and Maintenance in Developing Countries: The Case of Health Challenges in Africa 76
Design and validation of an e-textile-based wearable system for remote health monitoring 73
Unsupervised Machine Learning to Identify Convalescent COVID-19 Phenotypes 72
Heart rate turbulence in obstructive sleep apnea syndrome: The effect of short-term CPAP therapy 71
Machine learning to predict mortality after rehabilitation among patients with severe stroke 70
Validity of a Novel Algorithm to Compute Spatiotemporal Parameters Based on a Single IMU Placed on the Lumbar Region 57
An automatic approach to assess biomechanical risk using machine learning algorithms and inertial sensors 35
Wearable Sensors and Artificial Intelligence for Physical Ergonomics: A Systematic Review of Literature 31
A System Theoretic Oriented Model to Investigate the Dynamics Correlating Respiration and Hearth Rate Variability 28
Resting-state EEG connectome topology and social norm processing in healthy young adults 25
Validity of Wearable Inertial Sensors for Postural Sway Analysis: A Systematic Review 25
Assessing Biomechanical Risk using Tree-Based Machine Learning Algorithms fed with Postural Sway Parameters derived from Angular Velocity Data 25
A Neuroradiomic Approach for Age-Group Classification of Healthy Human Brains 24
Controllability of the EEG Human Connectome as derived from Phase-Locking Value and Cross-correlation Coefficient 24
SMOTE and ADASYN to Augment Neuroradiomic Data: A Comparative Analysis 23
Assessing the Validity and Reliability of a Single Lumbar-Mounted IMU System for Gait Analysis 22
Proportional Control of Negative Feedback Physiological Systems 20
Exploring muscular and postural correlates of the EEG-derived functional connectome during a quiet-standing stabilometric task 20
Assessing the Consistency of EEG Connectome Topology Across Different Parcellation Approaches 20
An Electrodermal Activity-Based Approach for the Assessment of Cognitive Stress 19
Exploring brain correlates of muscular activity and postural sway 19
Exploring Brain Connectivity EEG Correlates of Gait Kinematic Parameters 19
A Novel Algorithm based on Ankle-Mounted IMU Configuration for Computing Spatiotemporal Parameters 15
Validity of an Automatic Approach for Acceleration Signal Segmentation during Weight Lifting 15
About the Importance of Open Data in Biomedical Research 13
Totale 7.922
Categoria #
all - tutte 28.448
article - articoli 0
book - libri 0
conference - conferenze 0
curatela - curatele 0
other - altro 0
patent - brevetti 0
selected - selezionate 0
volume - volumi 0
Totale 28.448


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2022/2023112 0 0 0 0 0 0 0 0 0 0 97 15
2023/2024376 7 10 14 29 81 46 48 2 36 19 22 62
2024/20251.237 7 68 8 43 159 176 212 127 116 157 98 66
2025/20265.075 208 395 320 263 338 2.520 235 377 186 133 61 39
2026/20271.122 39 206 352 525 0 0 0 0 0 0 0 0
Totale 7.922