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Federico Calesella
Federico Calesella
Vita-Salute San Raffaele University
Verified email at studenti.unisr.it
Title
Cited by
Cited by
Year
One-year mental health outcomes in a cohort of COVID-19 survivors
MG Mazza, M Palladini, R De Lorenzo, B Bravi, S Poletti, R Furlan, ...
Journal of psychiatric research 145, 118-124, 2022
812022
A peripheral inflammatory signature discriminates bipolar from unipolar depression: a machine learning approach
S Poletti, B Vai, MG Mazza, R Zanardi, C Lorenzi, F Calesella, S Cazzetta, ...
Progress in Neuro-Psychopharmacology and Biological Psychiatry 105, 110136, 2021
692021
A comparison of feature extraction methods for prediction of neuropsychological scores from functional connectivity data of stroke patients
F Calesella, A Testolin, M De Filippo De Grazia, M Zorzi
Brain Informatics 8 (1), 8, 2021
212021
Circulating inflammatory markers impact cognitive functions in bipolar depression
S Poletti, MG Mazza, F Calesella, B Vai, C Lorenzi, E Manfredi, ...
Journal of Psychiatric Research 140, 110-116, 2021
212021
The functional connectome in obsessive-compulsive disorder: resting-state mega-analysis and machine learning classification for the ENIGMA-OCD consortium
WB Bruin, Y Abe, P Alonso, A Anticevic, LL Backhausen, S Balachander, ...
Molecular psychiatry, 1-13, 2023
192023
Machine learning approaches for prediction of bipolar disorder based on biological, clinical and neuropsychological markers: A systematic review and meta-analysis
F Colombo, F Calesella, MG Mazza, EMT Melloni, MJ Morelli, GM Scotti, ...
Neuroscience & Biobehavioral Reviews 135, 104552, 2022
162022
Higher Interleukin 13 differentiates patients with a positive history of suicide attempts in major depressive disorder
B Vai, MG Mazza, S Cazzetta, F Calesella, V Aggio, C Lorenzi, R Zanardi, ...
Journal of Affective Disorders Reports 6, 100254, 2021
132021
Investigating predictive factors of dialectical behavior therapy skills training efficacy for alcohol and concurrent substance use disorders: A machine learning study
M Cavicchioli, F Calesella, S Cazzetta, M Mariagrazia, A Ogliari, C Maffei, ...
Drug and Alcohol Dependence 224, 108723, 2021
102021
Long-term effect of childhood trauma: Role of inflammation and white matter in mood disorders
S Poletti, M Paolini, J Ernst, I Bollettini, E Melloni, B Vai, Y Harrington, ...
Brain, Behavior, & Immunity-Health 26, 100529, 2022
92022
A systematic assessment of feature extraction methods for robust prediction of neuropsychological scores from functional connectivity data
F Calesella, A Testolin, M De Filippo De Grazia, M Zorzi
International conference on brain informatics, 29-40, 2020
52020
Insulin resistance disrupts white matter microstructure and amplitude of functional spontaneous activity in bipolar disorder
E Mazza, F Calesella, M Paolini, C di Pasquasio, S Poletti, C Lorenzi, ...
Bipolar Disorders 25 (1), 32-42, 2023
42023
Choroid plexus volume is increased in mood disorders and associates with circulating inflammatory cytokines
B Bravi, EMT Melloni, M Paolini, M Palladini, F Calesella, L Servidio, ...
Brain, Behavior, and Immunity 116, 52-61, 2024
32024
Reduced corticolimbic habituation to negative stimuli characterizes bipolar depressed suicide attempters
B Vai, F Calesella, C Lenti, L Fortaner-Uyà, E Caselani, P Fiore, S Breit, ...
Psychiatry Research: Neuroimaging 331, 111627, 2023
12023
Adverse childhood experiences differently affect Theory of Mind brain networks in schizophrenia and healthy controls
B Vai, F Calesella, A Pelucchi, M Riberto, S Poletti, M Bechi, R Cavallaro, ...
Journal of psychiatric research 172, 81-89, 2024
2024
COGNITIVE IMPAIRMENT IN MOOD DISORDERS: NEUROPSYCHOLOGY, MULTIMODAL BRAIN IMAGING, AND THE EFFECT OF NEUROINFLAMMATION
F Calesella
Università Vita-Salute San Raffaele, 2024
2024
A machine learning pipeline for efficient differentiation between bipolar and major depressive disorder based on multimodal structural neuroimaging
F Calesella, F Colombo, B Bravi, L Fortaner-Uyà, C Monopoli, S Poletti, ...
Neuroscience Applied 3, 103931, 2024
2024
Multi-Scale Assessment of Harmonization Efficacy on Resting-State Functional Connectivity
E Tassi, F Goffi, MG Rossetti, M Bellani, B Vai, F Calesella, F Benedetti, ...
Mediterranean Conference on Medical and Biological Engineering and Computing …, 2023
2023
Structural neuroimaging differentiates between depressed bipolar disorder and major depressive disorder patients: a machine learning study
F Calesella, F Colombo, B Bravi, L Fortaner-Uyà, C Monopoli, E Tassi, ...
European Psychiatry 66 (S1), S614-S615, 2023
2023
Predicting unipolar and bipolar depression using inflammatory markers, neuroimaging and neuropsychological data: a machine learning study
L Raffaelli, F Colombo, F Calesella, L Fortaner-Uya, I Bollettini, C Lorenzi, ...
European Psychiatry 66 (S1), S621-S621, 2023
2023
Unsupervised neurobiology-driven stratification of clinical heterogeneity in depression
F Colombo, F Calesella, B Bravi, L Fortaner-Uyà, C Monopoli, E Maggioni, ...
European Psychiatry 66 (S1), S614-S614, 2023
2023
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