IRIS
CALESELLA, FEDERICO
 Distribuzione geografica
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Continente #
EU - Europa 1.666
NA - Nord America 1.053
AS - Asia 1.038
SA - Sud America 176
AF - Africa 39
OC - Oceania 5
Totale 3.977
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Nazione #
US - Stati Uniti d'America 1.003
RU - Federazione Russa 883
SG - Singapore 369
IT - Italia 344
CN - Cina 267
BR - Brasile 144
HK - Hong Kong 125
DE - Germania 115
VN - Vietnam 106
FR - Francia 57
GB - Regno Unito 57
FI - Finlandia 49
SE - Svezia 39
IN - India 36
CA - Canada 29
NL - Olanda 27
ES - Italia 19
PL - Polonia 19
MX - Messico 16
AT - Austria 15
IR - Iran 15
JP - Giappone 15
TR - Turchia 15
IQ - Iraq 13
BD - Bangladesh 12
KR - Corea 12
NG - Nigeria 12
CO - Colombia 11
PK - Pakistan 11
MY - Malesia 10
ZA - Sudafrica 10
AR - Argentina 8
TW - Taiwan 8
IE - Irlanda 7
LT - Lituania 7
MA - Marocco 7
UA - Ucraina 6
AM - Armenia 5
GR - Grecia 5
VE - Venezuela 4
AU - Australia 3
CL - Cile 3
CZ - Repubblica Ceca 3
EC - Ecuador 3
ID - Indonesia 3
NO - Norvegia 3
RO - Romania 3
TN - Tunisia 3
AE - Emirati Arabi Uniti 2
EG - Egitto 2
GE - Georgia 2
KE - Kenya 2
NZ - Nuova Zelanda 2
PT - Portogallo 2
TH - Thailandia 2
UZ - Uzbekistan 2
AZ - Azerbaigian 1
BE - Belgio 1
BG - Bulgaria 1
BO - Bolivia 1
BY - Bielorussia 1
DK - Danimarca 1
GD - Grenada 1
GH - Ghana 1
HU - Ungheria 1
IL - Israele 1
JM - Giamaica 1
KH - Cambogia 1
LK - Sri Lanka 1
LV - Lettonia 1
LY - Libia 1
MO - Macao, regione amministrativa speciale della Cina 1
NI - Nicaragua 1
PA - Panama 1
PE - Perù 1
PH - Filippine 1
PR - Porto Rico 1
PY - Paraguay 1
SA - Arabia Saudita 1
SN - Senegal 1
YE - Yemen 1
Totale 3.977
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Città #
Singapore 240
Dallas 206
Moscow 166
Ashburn 157
Hong Kong 112
Milan 109
San Jose 65
Beijing 62
Munich 51
Boardman 47
Shanghai 42
Hefei 39
New York 37
Los Angeles 36
Rome 35
Lauterbourg 33
Turku 30
Hanoi 29
Ho Chi Minh City 28
The Dalles 28
São Paulo 26
Nuremberg 24
Denver 20
Washington 20
Orem 19
Santa Clara 19
Warsaw 14
Frankfurt am Main 13
Helsinki 13
Stockholm 12
Council Bluffs 11
Lagos 11
Phoenix 11
Brooklyn 10
Montreal 10
Poplar 10
Tokyo 10
Boston 9
Chennai 9
Haiphong 9
London 9
Mexico City 9
Toronto 9
Amsterdam 7
Atlanta 7
Da Nang 7
Dublin 7
Istanbul 7
Johannesburg 7
Monza 7
Mumbai 7
Seattle 7
Athens 6
Bologna 6
Brescia 6
Chicago 6
Cyberjaya 6
Houston 6
Lissone 6
New Delhi 6
Ankara 5
Barnet 5
Figino 5
Lappeenranta 5
Lawrence 5
Manchester 5
Paris 5
Princeton 5
Pune 5
Yerevan 5
Baghdad 4
Barcelona 4
Belo Horizonte 4
Brasília 4
Desio 4
Falkenstein 4
Florence 4
Goito 4
Guangzhou 4
Naples 4
Querétaro 4
Sant'Arpino 4
Santa Cruz do Sul 4
Tempe 4
Vienna 4
Bari 3
Bergamo 3
Bogotá 3
Caianello 3
Casablanca 3
Catania 3
Chions 3
Fortaleza 3
Kyiv 3
Los Alamos 3
Münster 3
Nanjing 3
Porto Alegre 3
Raleigh 3
Salvador 3
Totale 2.125
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Nome #
COGNITIVE IMPAIRMENT IN MOOD DISORDERS: NEUROPSYCHOLOGY, MULTIMODAL BRAIN IMAGING, AND THE EFFECT OF NEUROINFLAMMATION 368
A peripheral inflammatory signature discriminates bipolar from unipolar depression: A machine learning approach 164
Cognitive distortions and structural neuroimaging data predict depression severity in unipolar and bipolar depression: a machine learning study 131
A Longitudinal Prediction of Suicide Attempts in Borderline Personality Disorder: A Machine Learning Study 125
A machine learning pipeline for efficient differentiation between bipolar and major depressive disorder based on multimodal structural neuroimaging 121
One-year mental health outcomes in a cohort of COVID-19 survivors 118
Long-term effect of childhood trauma: Role of inflammation and white matter in mood disorders 116
Machine learning approaches for prediction of bipolar disorder based on biological, clinical and neuropsychological markers: A systematic review and meta-analysis 115
Cardiovascular Risk Predicts White Matter Hyperintensities, Brain Atrophy and Treatment Resistance in Major Depressive Disorder: Role of Genetic Liability 111
A machine learning pipeline for efficient differentiation between depressed bipolar disorder and major depressive disorder patients based on structural neuroimaging 109
Insulin resistance disrupts white matter microstructure and amplitude of functional spontaneous activity in Bipolar Disorder 108
Moving beyond clinical approaches: machine learning on neuroimaging and cognitive features for the differential diagnosis between unipolar and bipolar depression 105
Choroid plexus volume is increased in mood disorders and associates with circulating inflammatory cytokines 104
Identifying suicide attempters among bipolar depressed patients using structural neuroimaging: a machine learning study 103
Combining clinical data, genetics, and adverse childhood experiences for suicidality prediction in mood disorders: a machine learning approach 103
Reduced cortico-limbic habituation identifies bipolar depressed suicide attempers: a machine learning study 101
Reduced corticolimbic habituation to negative stimuli characterizes bipolar depressed suicide attempters 101
Functional neuroimaging for the differentiation between healthy controls, depressed bipolar and major depressive patients: a machine learning study 100
Predicting cognitive impairment in depression: a machine learning approach on multimodal structural neuroimaging 98
Multimodal brain-derived subtypes of Major depressive disorder differentiate patients for anergic symptoms, immune-inflammatory markers, history of childhood trauma and treatment-resistance 97
Machine learning approaches for prediction of bipolar disorder based on biological, clinical and neuropsychological markers: a systematic review and meta-analysis 96
Higher Interleukin 13 differentiates patients with a positive history of suicide attempts in major depressive disorder 95
Inflammatory Markers Predict Blood Neurofilament Light Chain Levels in Acute COVID-19 Patients 94
Circulating inflammatory markers impact cognitive functions in bipolar depression 91
Data-driven stratification of depressed patients based on structural neuroimaging signatures: a stability-based relative clustering validation approach 90
Circulating inflammatory markers predict depressive symptomatology in COVID-19 survivors 86
Predicting unipolar and bipolar depression using inflammatory markers, neuroimaging and neuropsychological data: a machine learning study 85
Unsupervised neurobiologically-driven stratification of clinical heterogeneity in treatment-resistant depression 83
Immune-inflammation and structural neuroimaging differentiate bipolar and unipolar depression: a machine learning study 82
Machine learning signature in differentiating bipolar and unipolar depression with multimodal structural neuroimaging data and neuropsychology 82
White matter diffusion estimates in obsessive-compulsive disorder across 1653 individuals: machine learning findings from the ENIGMA OCD Working Group 79
Prediction of cognitive impairment in mood disorders using multimodal structural neuroimaging: a machine learning study 78
The functional connectome in obsessive-compulsive disorder: resting-state mega-analysis and machine learning classification for the ENIGMA-OCD consortium 72
Unsupervised neurobiology-driven stratification of clinical heterogeneity in depression 69
Assessment of ComBat Harmonization Performance on Structural Magnetic Resonance Imaging Measurements 69
Predicting Suicide Attempts among Major Depressive Disorder Patients with Structural Neuroimaging: A Machine Learning Approach 64
Investigating predictive factors of dialectical behavior therapy skills training efficacy for alcohol and concurrent substance use disorders: A machine learning study 62
Differences in resting-state functional connectivity between depressed bipolar and major depressive disorder patients: A machine learning study 61
Multi-Scale Assessment of Harmonization Efficacy on Resting-State Functional Connectivity 59
Adverse childhood experiences differently affect Theory of Mind brain networks in schizophrenia and healthy controls 52
Can Machine Learning predict therapeutic outcomes in affective and not affective psychosis? A systematic review and meta-analysis 13
Psychological and sociodemographic variables correlated with SARS-CoV-2 vaccine hesitancy in Italy 5
Spontaneous neural activity mediates the effect of adverse childhood experiences on negative cognitive styles in mood disorders: a multivariate approach 4
Totale 4.069
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Categoria #
all - tutte 13.887
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 13.887
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2021/202214 3 0 0 2 0 1 0 1 5 1 0 1
2022/202371 11 10 3 6 5 6 4 4 14 1 1 6
2023/2024196 6 11 24 13 16 24 2 18 6 14 27 35
2024/2025908 42 22 32 49 81 61 112 81 106 60 114 148
2025/20262.879 251 208 201 401 269 182 209 262 769 127 0 0
Totale 4.069