CALESELLA, FEDERICO
 Distribuzione geografica
Continente #
NA - Nord America 884
AS - Asia 851
EU - Europa 684
SA - Sud America 147
AF - Africa 31
OC - Oceania 4
Totale 2.601
Nazione #
US - Stati Uniti d'America 839
SG - Singapore 331
IT - Italia 296
CN - Cina 227
BR - Brasile 129
HK - Hong Kong 116
DE - Germania 113
VN - Vietnam 49
FI - Finlandia 48
GB - Regno Unito 46
SE - Svezia 37
CA - Canada 28
IN - India 24
NL - Olanda 22
RU - Federazione Russa 21
ES - Italia 19
FR - Francia 19
PL - Polonia 19
AT - Austria 15
IR - Iran 15
MX - Messico 15
JP - Giappone 14
TR - Turchia 14
NG - Nigeria 12
KR - Corea 11
MY - Malesia 10
PK - Pakistan 9
ZA - Sudafrica 7
AR - Argentina 6
CO - Colombia 6
LT - Lituania 6
TW - Taiwan 6
BD - Bangladesh 5
MA - Marocco 5
GR - Grecia 4
IE - Irlanda 4
IQ - Iraq 4
UA - Ucraina 4
AU - Australia 3
CZ - Repubblica Ceca 3
NO - Norvegia 3
TN - Tunisia 3
AE - Emirati Arabi Uniti 2
EG - Egitto 2
GE - Georgia 2
ID - Indonesia 2
PT - Portogallo 2
TH - Thailandia 2
UZ - Uzbekistan 2
AZ - Azerbaigian 1
BE - Belgio 1
BG - Bulgaria 1
BO - Bolivia 1
CL - Cile 1
EC - Ecuador 1
GD - Grenada 1
GH - Ghana 1
HU - Ungheria 1
IL - Israele 1
KE - Kenya 1
KH - Cambogia 1
LK - Sri Lanka 1
MO - Macao, regione amministrativa speciale della Cina 1
NZ - Nuova Zelanda 1
PE - Perù 1
PH - Filippine 1
PR - Porto Rico 1
PY - Paraguay 1
VE - Venezuela 1
Totale 2.601
Città #
Singapore 214
Dallas 204
Ashburn 115
Hong Kong 103
Milan 93
Beijing 59
Munich 51
Boardman 47
Shanghai 41
Hefei 39
New York 36
Los Angeles 34
Rome 33
Turku 30
Nuremberg 24
São Paulo 23
The Dalles 21
Denver 20
Washington 20
Ho Chi Minh City 16
Santa Clara 14
Warsaw 14
Hanoi 12
Helsinki 12
Frankfurt am Main 11
Lagos 11
Montreal 10
Phoenix 10
Poplar 10
Stockholm 10
Tokyo 10
Boston 9
Brooklyn 9
London 9
Mexico City 8
Orem 8
Toronto 8
Atlanta 7
Council Bluffs 7
Istanbul 7
Monza 7
Bologna 6
Brescia 6
Chennai 6
Cyberjaya 6
Haiphong 6
Houston 6
Johannesburg 6
Lissone 6
Moscow 6
Seattle 6
Amsterdam 5
Ankara 5
Athens 5
Lappeenranta 5
Lawrence 5
New Delhi 5
Princeton 5
Pune 5
Barcelona 4
Belo Horizonte 4
Brasília 4
Chicago 4
Da Nang 4
Desio 4
Dublin 4
Falkenstein 4
Figino 4
Goito 4
Guangzhou 4
Mumbai 4
Naples 4
Querétaro 4
Sant'Arpino 4
Santa Cruz do Sul 4
Tempe 4
Vienna 4
Bari 3
Bergamo 3
Caianello 3
Casablanca 3
Chions 3
Kyiv 3
Los Alamos 3
Münster 3
Nanjing 3
Porto Alegre 3
Raleigh 3
San Francisco 3
San Jose 3
Shenzhen 3
Sialkot 3
Sydney 3
Vancouver 3
Villafranca Padovana 3
Acireale 2
Alcalá de Henares 2
Ann Arbor 2
Annapolis 2
Araxá 2
Totale 1.662
Nome #
COGNITIVE IMPAIRMENT IN MOOD DISORDERS: NEUROPSYCHOLOGY, MULTIMODAL BRAIN IMAGING, AND THE EFFECT OF NEUROINFLAMMATION 312
A peripheral inflammatory signature discriminates bipolar from unipolar depression: A machine learning approach 112
Cognitive distortions and structural neuroimaging data predict depression severity in unipolar and bipolar depression: a machine learning study 99
Machine learning approaches for prediction of bipolar disorder based on biological, clinical and neuropsychological markers: A systematic review and meta-analysis 87
A Longitudinal Prediction of Suicide Attempts in Borderline Personality Disorder: A Machine Learning Study 78
Moving beyond clinical approaches: machine learning on neuroimaging and cognitive features for the differential diagnosis between unipolar and bipolar depression 76
Reduced cortico-limbic habituation identifies bipolar depressed suicide attempers: a machine learning study 76
Predicting cognitive impairment in depression: a machine learning approach on multimodal structural neuroimaging 75
Combining clinical data, genetics, and adverse childhood experiences for suicidality prediction in mood disorders: a machine learning approach 74
Long-term effect of childhood trauma: Role of inflammation and white matter in mood disorders 74
One-year mental health outcomes in a cohort of COVID-19 survivors 73
A machine learning pipeline for efficient differentiation between depressed bipolar disorder and major depressive disorder patients based on structural neuroimaging 72
Cardiovascular Risk Predicts White Matter Hyperintensities, Brain Atrophy and Treatment Resistance in Major Depressive Disorder: Role of Genetic Liability 71
Identifying suicide attempters among bipolar depressed patients using structural neuroimaging: a machine learning study 70
A machine learning pipeline for efficient differentiation between bipolar and major depressive disorder based on multimodal structural neuroimaging 69
Reduced corticolimbic habituation to negative stimuli characterizes bipolar depressed suicide attempters 68
Functional neuroimaging for the differentiation between healthy controls, depressed bipolar and major depressive patients: a machine learning study 66
Insulin resistance disrupts white matter microstructure and amplitude of functional spontaneous activity in Bipolar Disorder 64
Machine learning approaches for prediction of bipolar disorder based on biological, clinical and neuropsychological markers: a systematic review and meta-analysis 64
Higher Interleukin 13 differentiates patients with a positive history of suicide attempts in major depressive disorder 60
Unsupervised neurobiologically-driven stratification of clinical heterogeneity in treatment-resistant depression 59
Machine learning signature in differentiating bipolar and unipolar depression with multimodal structural neuroimaging data and neuropsychology 59
Multimodal brain-derived subtypes of Major depressive disorder differentiate patients for anergic symptoms, immune-inflammatory markers, history of childhood trauma and treatment-resistance 58
Choroid plexus volume is increased in mood disorders and associates with circulating inflammatory cytokines 57
Immune-inflammation and structural neuroimaging differentiate bipolar and unipolar depression: a machine learning study 56
Inflammatory Markers Predict Blood Neurofilament Light Chain Levels in Acute COVID-19 Patients 55
Data-driven stratification of depressed patients based on structural neuroimaging signatures: a stability-based relative clustering validation approach 53
Circulating inflammatory markers impact cognitive functions in bipolar depression 52
White matter diffusion estimates in obsessive-compulsive disorder across 1653 individuals: machine learning findings from the ENIGMA OCD Working Group 51
Predicting unipolar and bipolar depression using inflammatory markers, neuroimaging and neuropsychological data: a machine learning study 50
Prediction of cognitive impairment in mood disorders using multimodal structural neuroimaging: a machine learning study 49
The functional connectome in obsessive-compulsive disorder: resting-state mega-analysis and machine learning classification for the ENIGMA-OCD consortium 48
Investigating predictive factors of dialectical behavior therapy skills training efficacy for alcohol and concurrent substance use disorders: A machine learning study 46
Unsupervised neurobiology-driven stratification of clinical heterogeneity in depression 44
Assessment of ComBat Harmonization Performance on Structural Magnetic Resonance Imaging Measurements 44
Predicting Suicide Attempts among Major Depressive Disorder Patients with Structural Neuroimaging: A Machine Learning Approach 40
Circulating inflammatory markers predict depressive symptomatology in COVID-19 survivors 37
Multi-Scale Assessment of Harmonization Efficacy on Resting-State Functional Connectivity 35
Differences in resting-state functional connectivity between depressed bipolar and major depressive disorder patients: A machine learning study 27
Adverse childhood experiences differently affect Theory of Mind brain networks in schizophrenia and healthy controls 22
Totale 2.682
Categoria #
all - tutte 11.690
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 11.690


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2020/20211 0 0 0 0 0 0 1 0 0 0 0 0
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
2025/20261.492 251 208 201 401 269 162 0 0 0 0 0 0
Totale 2.682