IRIS
DONISI, Leandro
 Distribuzione geografica
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Continente #
EU - Europa 3.161
AS - Asia 1.945
NA - Nord America 1.184
SA - Sud America 348
AF - Africa 28
OC - Oceania 1
Totale 6.667
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Nazione #
RU - Federazione Russa 2.682
US - Stati Uniti d'America 1.147
SG - Singapore 613
CN - Cina 527
BR - Brasile 286
HK - Hong Kong 270
IT - Italia 217
VN - Vietnam 176
KR - Corea 159
IE - Irlanda 84
IN - India 76
DE - Germania 39
JP - Giappone 28
NL - Olanda 28
GB - Regno Unito 24
AR - Argentina 22
CA - Canada 21
TR - Turchia 17
EC - Ecuador 16
FI - Finlandia 16
BD - Bangladesh 12
FR - Francia 11
ES - Italia 10
IQ - Iraq 8
MX - Messico 8
TW - Taiwan 8
CO - Colombia 7
ID - Indonesia 7
AT - Austria 6
PL - Polonia 6
TH - Thailandia 6
UZ - Uzbekistan 6
VE - Venezuela 6
BE - Belgio 5
KE - Kenya 5
MA - Marocco 5
SE - Svezia 5
CZ - Repubblica Ceca 4
KG - Kirghizistan 4
NP - Nepal 4
PY - Paraguay 4
TN - Tunisia 4
UA - Ucraina 4
ZA - Sudafrica 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
AL - Albania 1
AM - Armenia 1
AU - Australia 1
BA - Bosnia-Erzegovina 1
BN - Brunei Darussalam 1
BO - Bolivia 1
BY - Bielorussia 1
CR - Costa Rica 1
CY - Cipro 1
DK - Danimarca 1
ET - Etiopia 1
GE - Georgia 1
GT - Guatemala 1
HN - Honduras 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
NG - Nigeria 1
PH - Filippine 1
PS - Palestinian Territory 1
PT - Portogallo 1
QA - Qatar 1
RS - Serbia 1
TJ - Tagikistan 1
TT - Trinidad e Tobago 1
UY - Uruguay 1
Totale 6.667
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Città #
Moscow 966
San Jose 459
Santa Clara 278
Hong Kong 267
Singapore 235
Hefei 185
Seoul 151
Ashburn 85
Dublin 84
Beijing 70
Bengaluru 67
Ho Chi Minh City 57
Hanoi 39
Naples 30
São Paulo 28
New York 24
Boardman 20
The Dalles 19
Rome 17
Da Nang 16
Los Angeles 12
Montreal 12
Dallas 11
Falkenstein 11
Chicago 10
Istanbul 10
Turku 10
Amsterdam 9
Belo Horizonte 9
Rio de Janeiro 9
Caivano 8
Haiphong 8
Nuremberg 8
Porto Alegre 8
Brooklyn 7
Campobasso 7
Pomigliano d'Arco 7
Aversa 6
Bangkok 6
Bari 6
Dortmund 6
Guayaquil 6
Hải Dương 6
Milan 6
Poggiomarino 6
San Francisco 6
Tianjin 6
Viterbo 6
Warsaw 6
West Jordan 6
Belfast 5
Brasília 5
Brussels 5
London 5
Madrid 5
Mexico City 5
Orem 5
Ribeirão Preto 5
Shanghai 5
Stockholm 5
Tashkent 5
Atlanta 4
Bacoli 4
Baghdad 4
Bishkek 4
Bogotá 4
Brno 4
Cercola 4
Council Bluffs 4
Curitiba 4
Helsinki 4
Jinan 4
Munich 4
Nairobi 4
Salvador 4
Sarno 4
Biên Hòa 3
Can Tho 3
Caratinga 3
Crispano 3
Ercolano 3
Fortaleza 3
Guangzhou 3
Guarujá 3
Jacareí 3
João Pessoa 3
Juiz de Fora 3
Meerssen 3
Nha Trang 3
Ninh Bình 3
Phoenix 3
Portici 3
Qingdao 3
Quito 3
Recife 3
Shenzhen 3
Sumaré 3
Tallinn 3
Turin 3
Vienna 3
Totale 3.518
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Nome #
A Combined Use of Radiomics and Connectomics to Classify Sex and Age in Healthy Subjects: The New “Radioconnectomics” Paradigm 157
Agreement of Global Topological Properties of EEG Connectomes as Estimated from Phase-Locking Values and Cross-Correlation Coefficients 116
A Multiparameter Statistical Approach for Cardiotocographic Signals Analysis 115
Ataxia and Parkinson's disease patients classification using tree-based machine learning algorithms fed by spatiotemporal features: a pilot study 114
Combining radiomics and connectomics in MRI studies of the human brain: A systematic literature review 112
A Logistic Regression Model for Biomechanical Risk Classification in Lifting Tasks 109
Study of Agreement between two Wereable Inertial Systems for Gait Analysis based on a different sensor placement: G-Walk System and Opal System 109
An automatic procedure to classify biomechanical risk classes associated to lifting activities according to the Revised NIOSH Lifting Equation 106
sEMG Spectral Analysis and Machine Learning Algorithms Are Able to Discriminate Biomechanical Risk Classes Associated with Manual Material Liftings 105
Combining Postural Sway Parameters and Machine Learning to Assess Biomechanical Risk Associated with Load-Lifting Activities 104
A General Approach for the Modelling of Negative Feedback Physiological Control Systems 103
Benchmarking between two wearable inertial systems for gait analysis based on a different sensor placement using several statistical approaches 102
A combined simulation and machine learning approach to classify severity of infarction patients 102
Benchmarking between a Sensorized E-textile Sock for Remote Monitoring and a Stereophotogrammetric System 101
Bidimensional and Tridimensional Poincaré Maps in Cardiology: A Multiclass Machine Learning Study 101
A General Framework for Closed Loop Negative Feedback Multivariable Physiological Control Systems: Existence, Uniqueness, and Stability of Homeostatic Equilibrium Points 101
Backpack Influence on Kinematic Parameters related to Timed Up and Go (TUG) Test in School Children 101
Validity of Wearable Inertial Sensors for Gait Analysis: A Systematic Review 99
Analysis of Test-Retest Repeatability of Gait Analysis Parameters in Hereditary Spastic Paraplegia 99
A Sensitivity Analysis of Symbolic Dynamics indices for Fetal Heart Rate Monitoring 98
Feasibility of machine learning algorithms fed with frequency-domain features extracted from inertial signals to classify safe and unsafe postures during lifting tasks 98
Experimental validation of an e-textile t-shirt for ECG monitoring 98
A multiple linear regression approach to extimate lifted load from features extracted from inertial data 97
Feasibility of Machine Learning applied to Poincaré Plot Analysis on Patients with CHF 96
A Combined Radiomics and Machine Learning Approach to Distinguish Clinically Significant Prostate Lesions on a Publicly Available MRI Dataset 96
Binary Risk vs No-Risk Classification of Load Lifting Activities Using Features Extracted from sEMG Trapezius Muscle 96
Agreement between Opal and G-Walk Wearable Inertial Systems in Gait Analysis on Normal and Pathological Subjects 95
Agreement between Optoelectronic System and Wearable Sensors for the Evaluation of Gait Spatiotemporal Parameters in Progressive Supranuclear Palsy 94
Evaluation of a New Endobronchial Double Lumen Tube with Integrated Camera: A Hospital Based HTA Experience 93
Postural Sway Parameters are Useful to Discriminate Biomechanical Risk Classes Associated with Load Lifting 92
Machine Learning Approaches in Parkinson's Disease 92
Biomechanical Risk Evaluation Through Machine Learning Algorithms Fed with Features Extracted From sEMG of Neck Extensors 91
Gait analysis to quantitatively classify Ataxia and Parkinson’s disease patients: a pilot study using tree-based Machine Learning algorithms 90
Capability of Machine Learning Algorithms to Classify Safe and Unsafe Postures during Weight Lifting Tasks Using Inertial Sensors 89
A Machine Learning approach to classify ventilatory efficiency 89
Mild Cognitive Impairment Subtypes Are Associated With Peculiar Gait Patterns in Parkinson's Disease 88
Machine Learning and Biosignals are able to discriminate biomechanical risk classes according to the Revised NIOSH Lifting Equation 88
The E-Textile for Biomedical Applications: A Systematic Review of Literature 86
Machine Learning Evaluation of Biliary Atresia Patients to Predict Long-Term Outcome after the Kasai Procedure 86
Gait asymmetry in stroke patients with unilateral spatial neglect 85
Feasibility of Tree-Based Machine Learning Models to Discriminate Safe and Unsafe Posture During Weight Lifting 85
The impact of ankle-foot orthosis on walking features of drop foot patients 84
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 83
Gait Analysis using Wearable E-Textile Sock: an Experimental Study of Test-Retest Reliability 82
Statistical correlation analysis between kinematic features and clinical indexes and scales for obese patients 80
Repeatability of Spatio-Temporal Gait Measurements in Parkinson's Disease 80
Potential Biomechanical Overload on Skeletal Muscle Structures in Students During Walk with Backpack 79
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 79
Combined mechanistic modeling and machine-learning approaches in systems biology – A systematic literature review 78
Experimental Development and Validation of an E-Textile Sock Prototype 78
Development of a Prototype E-Textile Sock 77
Biomechanical risk classification according to NIOSH in workers affected by occupational pathologies 77
Discrete Event Simulation to Improve Clinical Consultations in a Rehabilitation Cardiology Unit 77
Using Features Extracted from Upper Limb Reaching Tasks to Detect Parkinson's Disease by Means of Machine Learning Models 76
Positive impact of short-term gait rehabilitation in Parkinson patients: a combined approach based on statistics and machine learning 76
Design and Validation of an E-Textile-Based Wearable Sock for Remote Gait and Postural Assessment 76
Work-Related Risk Assessment According to the Revised NIOSH Lifting Equation: A Preliminary Study Using a Wearable Inertial Sensor and Machine Learning 76
Distinguishing Stroke patients with and without Unilateral Spatial Neglect by means of Clinical Features: a Tree-based Machine Learning Approach 75
Effects of the school backpack on the kinematics of walking: Is a mechanical overload potentially causing musculoskeletal disorders in developmental age? 75
Extracting Features from Poincaré Plots to Distinguish Congestive Heart Failure Patients According to NYHA Classes 75
Detecting Parkinson’s disease through an upper limb reaching task and a machine learning approach 75
Feasibility of Tree-based Machine Learning algorithms fed with surface electromyographic features to discriminate risk classes according to NIOSH 75
Early classification of functional connectomes in Parkinson’s disease: a comparison of machine learning classifiers using multi-scale topological features 73
Reliability of kinematic parameters related to the Timed Up and Go Test in patients with gait impairments 72
Influence of the Backpack on School Children’s Gait: A Statistical and Machine Learning Approach 72
Machine Learning applied on Poincaré Analyisis to discriminate different cardiac issues 71
Direct Current Stimulation of Prefrontal Cortex Is Not Effective in Progressive Supranuclear Palsy: A Randomized Trial 70
Predicting lifestyle using BioVRSea multi-biometric paradigms 70
Medical Technologies Procurement, Management and Maintenance in Developing Countries: The Case of Health Challenges in Africa 69
Machine Learning for Biomedical Applications 69
Rehabilitation Outcome in Patients undergone Hip or Knee Replacement Surgery using Inertial Technology for Gait Analysis 68
Towards defining biomarkers to evaluate concussions using virtual reality and a moving platform (BioVRSea) 68
Unsupervised Machine Learning to Identify Convalescent COVID-19 Phenotypes 64
Design and validation of an e-textile-based wearable system for remote health monitoring 63
Heart rate turbulence in obstructive sleep apnea syndrome: The effect of short-term CPAP therapy 62
Machine learning to predict mortality after rehabilitation among patients with severe stroke 59
Validity of a Novel Algorithm to Compute Spatiotemporal Parameters Based on a Single IMU Placed on the Lumbar Region 40
Wearable Sensors and Artificial Intelligence for Physical Ergonomics: A Systematic Review of Literature 27
A System Theoretic Oriented Model to Investigate the Dynamics Correlating Respiration and Hearth Rate Variability 15
An automatic approach to assess biomechanical risk using machine learning algorithms and inertial sensors 14
Assessing the Validity and Reliability of a Single Lumbar-Mounted IMU System for Gait Analysis 12
Assessing Biomechanical Risk using Tree-Based Machine Learning Algorithms fed with Postural Sway Parameters derived from Angular Velocity Data 6
Controllability of the EEG Human Connectome as derived from Phase-Locking Value and Cross-correlation Coefficient 4
A Neuroradiomic Approach for Age-Group Classification of Healthy Human Brains 3
Exploring brain correlates of muscular activity and postural sway 2
Assessing the Consistency of EEG Connectome Topology Across Different Parcellation Approaches 2
A Novel Algorithm based on Ankle-Mounted IMU Configuration for Computing Spatiotemporal Parameters 2
SMOTE and ADASYN to Augment Neuroradiomic Data: A Comparative Analysis 2
About the Importance of Open Data in Biomedical Research 2
Exploring Brain Connectivity EEG Correlates of Gait Kinematic Parameters 2
Validity of an Automatic Approach for Acceleration Signal Segmentation during Weight Lifting 2
Totale 6.796
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Categoria #
all - tutte 23.195
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 23.195
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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
2025/20265.071 208 395 320 263 338 2.520 235 377 186 133 61 35
Totale 6.796