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Fortaner-Uyà, L.
27
results:
Search for persons
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Format
Online (27)
Mediatypes
Articles (Online) (18)
OpenAccess-fulltext (9)
Sorted by: Relevance
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?
1
Predicting cognitive impairment in depression: a machine le..:
Monopoli, C.
;
Calesella, F.
;
Verri, A.
...
Neuroscience Applied. 2 (2023) - p. 102796 , 2023
Link:
https://doi.org/10.1016/..
?
2
Functional neuroimaging for the differentiation between hea..:
Calesella, F.
;
Serra, E.
;
Colombo, F.
...
Neuroscience Applied. 2 (2023) - p. 102791 , 2023
Link:
https://doi.org/10.1016/..
?
3
Unsupervised neurobiology-driven stratification of clinical..:
Colombo, F.
;
Calesella, F.
;
Bravi, B.
...
European Psychiatry. 66 (2023) S1 - p. S614-S614 , 2023
Link:
https://doi.org/10.1192/..
?
4
Moving beyond clinical approaches: machine learning on neur..:
Serra, E.
;
Calesella, F.
;
Colombo, F.
...
Neuroscience Applied. 2 (2023) - p. 102943 , 2023
Link:
https://doi.org/10.1016/..
?
5
Predicting unipolar and bipolar depression using inflammato..:
Raffaelli, L.
;
Colombo, F.
;
Calesella, F.
...
European Psychiatry. 66 (2023) S1 - p. S621-S621 , 2023
Link:
https://doi.org/10.1192/..
?
6
Cognitive distortions and structural neuroimaging data pred..:
Perziani, S.
;
Colombo, F.
;
Calesella, F.
...
Neuroscience Applied. 2 (2023) - p. 102944 , 2023
Link:
https://doi.org/10.1016/..
?
7
Predicting Suicide Attempts among Major Depressive Disorder..:
Fortaner-Uyà, L.
;
Monopoli, C.
;
Calesella, F.
...
European Psychiatry. 66 (2023) S1 - p. S1111-S1112 , 2023
Link:
https://doi.org/10.1192/..
?
8
Combining clinical data, genetics, and adverse childhood ex..:
Fortaner-Uyà, L.
;
Mazzilli, F.
;
Monopoli, C.
...
Neuroscience Applied. 2 (2023) - p. 102797 , 2023
Link:
https://doi.org/10.1016/..
?
9
Unsupervised neurobiologically-driven stratification of cli..:
Colombo, F.
;
Calesella, F.
;
Bravi, B.
...
Neuroscience Applied. 2 (2023) - p. 102792 , 2023
Link:
https://doi.org/10.1016/..
?
10
Prediction of cognitive impairment in mood disorders using ..:
Monopoli, C.
;
Fortaner-Uyà, L.
;
Calesella, F.
...
Neuroscience Applied. 1 (2022) - p. 100475 , 2022
Link:
https://doi.org/10.1016/..
?
11
Data-driven stratification of depressed patients based on s..:
Colombo, F.
;
Calesella, F.
;
Bravi, B.
...
Neuroscience Applied. 1 (2022) - p. 100174 , 2022
Link:
https://doi.org/10.1016/..
?
12
A machine learning pipeline for efficient differentiation b..:
Calesella, F.
;
Colombo, F.
;
Bravi, B.
...
Neuroscience Applied. 1 (2022) - p. 100194 , 2022
Link:
https://doi.org/10.1016/..
?
13
Identifying suicide attempters among bipolar depressed pati..:
Fortaner-Uyà, L.
;
Monopoli, C.
;
Calesella, F.
...
Neuroscience Applied. 1 (2022) - p. 100476 , 2022
Link:
https://doi.org/10.1016/..
?
14
A machine learning pipeline for efficient differentiation b..:
Calesella, Federico
;
Colombo, Federica
;
Bravi, Beatrice
...
Neuroscience Applied. 3 (2024) - p. 103931 , 2024
Link:
https://doi.org/10.1016/..
?
15
Multimodal brain-derived subtypes of Major depressive disor..:
Colombo, Federica
;
Calesella, Federico
;
Bravi, Beatrice
...
European Neuropsychopharmacology. 85 (2024) - p. 45-57 , 2024
Link:
https://doi.org/10.1016/..
1-15