IRIS
CALESELLA, FEDERICO
 Distribuzione geografica
Salva come PNG Salva come JPEG
Continente #
NA - Nord America 859
AS - Asia 841
EU - Europa 661
SA - Sud America 145
AF - Africa 30
OC - Oceania 4
Totale 2.540
Salva come PNG Salva come JPEG
Nazione #
US - Stati Uniti d'America 815
SG - Singapore 326
IT - Italia 277
CN - Cina 227
BR - Brasile 128
HK - Hong Kong 115
DE - Germania 113
VN - Vietnam 49
FI - Finlandia 48
GB - Regno Unito 46
SE - Svezia 36
CA - Canada 28
IN - India 23
NL - Olanda 22
RU - Federazione Russa 20
ES - Italia 19
FR - Francia 19
PL - Polonia 18
IR - Iran 15
MX - Messico 15
AT - Austria 14
TR - Turchia 14
JP - Giappone 12
NG - Nigeria 12
KR - Corea 11
MY - Malesia 10
PK - Pakistan 9
ZA - Sudafrica 7
AR - Argentina 6
LT - Lituania 6
TW - Taiwan 6
BD - Bangladesh 5
CO - Colombia 5
GR - Grecia 4
IE - Irlanda 4
IQ - Iraq 4
MA - Marocco 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
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
ID - Indonesia 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
PY - Paraguay 1
VE - Venezuela 1
Totale 2.540
Salva come PNG Salva come JPEG
Città #
Singapore 210
Dallas 204
Ashburn 108
Hong Kong 102
Milan 88
Beijing 59
Munich 51
Boardman 47
Shanghai 41
Hefei 39
New York 33
Turku 30
Los Angeles 29
Rome 29
Nuremberg 24
São Paulo 23
The Dalles 21
Denver 20
Washington 20
Ho Chi Minh City 16
Santa Clara 14
Warsaw 13
Hanoi 12
Helsinki 12
Frankfurt am Main 11
Lagos 11
Montreal 10
Phoenix 10
Poplar 10
Boston 9
Brooklyn 9
London 9
Stockholm 9
Mexico City 8
Orem 8
Tokyo 8
Toronto 8
Atlanta 7
Council Bluffs 7
Istanbul 7
Monza 7
Brescia 6
Chennai 6
Cyberjaya 6
Haiphong 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
Bologna 4
Brasília 4
Chicago 4
Da Nang 4
Desio 4
Dublin 4
Falkenstein 4
Figino 4
Goito 4
Guangzhou 4
Houston 4
Naples 4
Querétaro 4
Sant'Arpino 4
Santa Cruz do Sul 4
Tempe 4
Bari 3
Bergamo 3
Caianello 3
Casablanca 3
Chions 3
Kyiv 3
Los Alamos 3
Mumbai 3
Münster 3
Nanjing 3
Porto Alegre 3
Raleigh 3
San Francisco 3
Shenzhen 3
Sialkot 3
Sydney 3
Vancouver 3
Vienna 3
Villafranca Padovana 3
Acireale 2
Alcalá de Henares 2
Ann Arbor 2
Annapolis 2
Araxá 2
Assago 2
Totale 1.622
Salva come PNG Salva come JPEG
Nome #
COGNITIVE IMPAIRMENT IN MOOD DISORDERS: NEUROPSYCHOLOGY, MULTIMODAL BRAIN IMAGING, AND THE EFFECT OF NEUROINFLAMMATION 309
A peripheral inflammatory signature discriminates bipolar from unipolar depression: A machine learning approach 111
Cognitive distortions and structural neuroimaging data predict depression severity in unipolar and bipolar depression: a machine learning study 94
Machine learning approaches for prediction of bipolar disorder based on biological, clinical and neuropsychological markers: A systematic review and meta-analysis 86
A Longitudinal Prediction of Suicide Attempts in Borderline Personality Disorder: A Machine Learning Study 76
Reduced cortico-limbic habituation identifies bipolar depressed suicide attempers: a machine learning study 75
Moving beyond clinical approaches: machine learning on neuroimaging and cognitive features for the differential diagnosis between unipolar and bipolar depression 74
Predicting cognitive impairment in depression: a machine learning approach on multimodal structural neuroimaging 74
Combining clinical data, genetics, and adverse childhood experiences for suicidality prediction in mood disorders: a machine learning approach 73
Long-term effect of childhood trauma: Role of inflammation and white matter in mood disorders 72
One-year mental health outcomes in a cohort of COVID-19 survivors 71
A machine learning pipeline for efficient differentiation between depressed bipolar disorder and major depressive disorder patients based on structural neuroimaging 70
A machine learning pipeline for efficient differentiation between bipolar and major depressive disorder based on multimodal structural neuroimaging 69
Identifying suicide attempters among bipolar depressed patients using structural neuroimaging: a machine learning study 69
Cardiovascular Risk Predicts White Matter Hyperintensities, Brain Atrophy and Treatment Resistance in Major Depressive Disorder: Role of Genetic Liability 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 64
Insulin resistance disrupts white matter microstructure and amplitude of functional spontaneous activity in Bipolar Disorder 63
Machine learning approaches for prediction of bipolar disorder based on biological, clinical and neuropsychological markers: a systematic review and meta-analysis 63
Higher Interleukin 13 differentiates patients with a positive history of suicide attempts in major depressive disorder 59
Multimodal brain-derived subtypes of Major depressive disorder differentiate patients for anergic symptoms, immune-inflammatory markers, history of childhood trauma and treatment-resistance 57
Machine learning signature in differentiating bipolar and unipolar depression with multimodal structural neuroimaging data and neuropsychology 57
Unsupervised neurobiologically-driven stratification of clinical heterogeneity in treatment-resistant depression 56
Choroid plexus volume is increased in mood disorders and associates with circulating inflammatory cytokines 56
Immune-inflammation and structural neuroimaging differentiate bipolar and unipolar depression: a machine learning study 53
Inflammatory Markers Predict Blood Neurofilament Light Chain Levels in Acute COVID-19 Patients 53
Circulating inflammatory markers impact cognitive functions in bipolar depression 52
Data-driven stratification of depressed patients based on structural neuroimaging signatures: a stability-based relative clustering validation approach 50
White matter diffusion estimates in obsessive-compulsive disorder across 1653 individuals: machine learning findings from the ENIGMA OCD Working Group 49
The functional connectome in obsessive-compulsive disorder: resting-state mega-analysis and machine learning classification for the ENIGMA-OCD consortium 48
Predicting unipolar and bipolar depression using inflammatory markers, neuroimaging and neuropsychological data: a machine learning study 47
Prediction of cognitive impairment in mood disorders using multimodal structural neuroimaging: a machine learning study 47
Investigating predictive factors of dialectical behavior therapy skills training efficacy for alcohol and concurrent substance use disorders: A machine learning study 45
Unsupervised neurobiology-driven stratification of clinical heterogeneity in depression 43
Assessment of ComBat Harmonization Performance on Structural Magnetic Resonance Imaging Measurements 43
Predicting Suicide Attempts among Major Depressive Disorder Patients with Structural Neuroimaging: A Machine Learning Approach 38
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 26
Adverse childhood experiences differently affect Theory of Mind brain networks in schizophrenia and healthy controls 20
Totale 2.621
Salva come PNG Salva come JPEG
Categoria #
all - tutte 11.472
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 11.472
Salva come PNG Salva come JPEG


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
2025/20261.431 251 208 201 401 269 101 0 0 0 0 0 0
Totale 2.621