Fabrizio Spera

Dottorando

spera.1874149@studenti.uniroma1.it

+39 06 72596008

Biografia

Fabrizio frequenta il Dottorato Nazionale in AI & Health and Life Sciences.

Si è laureato in Fisica Teorica presso La Sapienza nel 2024, con studi in fisica della materia condensata e meccanica statistica. I suoi interessi di ricerca includono l’intelligenza artificiale e le sue connessioni con la fisica.

Last 5 articles (Scopus)

opensearch:totalResults = 290
opensearch:startIndex = 0
opensearch:itemsPerPage = 25
@role = request
@searchTerms = AU-ID(6602297547)
@startPage = 0

@_fa = true
@ref = self
@href = https://api.elsevier.com/content/search/scopus?start=0&count=25&query=AU-ID%286602297547%29&apiKey=6ae70c855c11cca26b94ca23c22dcbcf
@type = application/json

@_fa = true
@ref = first
@href = https://api.elsevier.com/content/search/scopus?start=0&count=25&query=AU-ID%286602297547%29&apiKey=6ae70c855c11cca26b94ca23c22dcbcf
@type = application/json

@_fa = true
@ref = next
@href = https://api.elsevier.com/content/search/scopus?start=25&count=25&query=AU-ID%286602297547%29&apiKey=6ae70c855c11cca26b94ca23c22dcbcf
@type = application/json

@_fa = true
@ref = last
@href = https://api.elsevier.com/content/search/scopus?start=265&count=25&query=AU-ID%286602297547%29&apiKey=6ae70c855c11cca26b94ca23c22dcbcf
@type = application/json


inizio

@_fa = true

@_fa = true
@ref = self
@href = https://api.elsevier.com/content/abstract/scopus_id/86000726427

@_fa = true
@ref = author-affiliation
@href = https://api.elsevier.com/content/abstract/scopus_id/86000726427?field=author,affiliation

@_fa = true
@ref = scopus
@href = https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=86000726427&origin=inward

@_fa = true
@ref = scopus-citedby
@href = https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=86000726427&origin=inward

Activation of endogenous retroviruses characterizes the maternal-fetal interface in the BTBR mouse model of autism spectrum disorder; Scientific Reports; December 2025; DOI: 10.1038/s41598-025-91541-8
prism:url = https://api.elsevier.com/content/abstract/scopus_id/86000726427
dc:identifier = SCOPUS_ID:86000726427
eid = 2-s2.0-86000726427
dc:creator = Cipriani C.
prism:publicationName = Scientific Reports
prism:issn =
prism:eIssn = 20452322
prism:volume = 15
prism:issueIdentifier = 1
prism:pageRange =
prism:coverDate = 2025-12-01
prism:coverDisplayDate = December 2025
prism:doi = 10.1038/s41598-025-91541-8
citedby-count = 0

@_fa = true
affilname = Università degli Studi di Roma "Tor Vergata"
affiliation-city = Rome
affiliation-country = Italy

pubmed-id = 40065061
prism:aggregationType = Journal
subtype = ar
subtypeDescription = Article
article-number = 8271
source-id = 21100200805
openaccess = 1
openaccessFlag = true
value:

$ = all

$ = publisherfullgold

$ = repository

$ = repositoryam

value:

$ = All Open Access

$ = Gold

$ = Green

prism:isbn:

@_fa =
$ =

pii =

inizio

@_fa = true

@_fa = true
@ref = self
@href = https://api.elsevier.com/content/abstract/scopus_id/85219197026

@_fa = true
@ref = author-affiliation
@href = https://api.elsevier.com/content/abstract/scopus_id/85219197026?field=author,affiliation

@_fa = true
@ref = scopus
@href = https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85219197026&origin=inward

@_fa = true
@ref = scopus-citedby
@href = https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85219197026&origin=inward

Transforming Multimodal Models into Action Models for Radiotherapy; Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 2025; DOI: 10.1007/978-3-031-82007-6_5
prism:url = https://api.elsevier.com/content/abstract/scopus_id/85219197026
dc:identifier = SCOPUS_ID:85219197026
eid = 2-s2.0-85219197026
dc:creator = Ferrante M.
prism:publicationName = Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
prism:issn = 03029743
prism:eIssn = 16113349
prism:volume = 15384 LNCS
prism:issueIdentifier =
prism:pageRange = 41-53
prism:coverDate = 2025-01-01
prism:coverDisplayDate = 2025
prism:doi = 10.1007/978-3-031-82007-6_5
citedby-count = 0

@_fa = true
affilname = Università degli Studi di Roma "Tor Vergata"
affiliation-city = Rome
affiliation-country = Italy

pubmed-id =
prism:aggregationType = Book Series
subtype = cp
subtypeDescription = Conference Paper
article-number =
source-id = 25674
openaccess = 0
openaccessFlag = false
value:

$ =

value:

$ =

prism:isbn:

@_fa = true
$ = [9783031820069]

pii =

inizio

@_fa = true

@_fa = true
@ref = self
@href = https://api.elsevier.com/content/abstract/scopus_id/105002229023

@_fa = true
@ref = author-affiliation
@href = https://api.elsevier.com/content/abstract/scopus_id/105002229023?field=author,affiliation

@_fa = true
@ref = scopus
@href = https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=105002229023&origin=inward

@_fa = true
@ref = scopus-citedby
@href = https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=105002229023&origin=inward

Neural activation during processing of emotional faces as a function of resilience in adolescents; European Child and Adolescent Psychiatry; 2025; DOI: 10.1007/s00787-025-02703-y
prism:url = https://api.elsevier.com/content/abstract/scopus_id/105002229023
dc:identifier = SCOPUS_ID:105002229023
eid = 2-s2.0-105002229023
dc:creator = Eaton S.
prism:publicationName = European Child and Adolescent Psychiatry
prism:issn = 10188827
prism:eIssn = 1435165X
prism:volume =
prism:issueIdentifier =
prism:pageRange =
prism:coverDate = 2025-01-01
prism:coverDisplayDate = 2025
prism:doi = 10.1007/s00787-025-02703-y
citedby-count = 0

@_fa = true
affilname = University of Bath, Department of Psychology
affiliation-city = Bath
affiliation-country = United Kingdom

pubmed-id =
prism:aggregationType = Journal
subtype = ar
subtypeDescription = Article
article-number = 116189
source-id = 15548
openaccess = 1
openaccessFlag = true
value:

$ =

value:

$ =

prism:isbn:

@_fa =
$ =

pii =

inizio

@_fa = true

@_fa = true
@ref = self
@href = https://api.elsevier.com/content/abstract/scopus_id/85201677751

@_fa = true
@ref = author-affiliation
@href = https://api.elsevier.com/content/abstract/scopus_id/85201677751?field=author,affiliation

@_fa = true
@ref = scopus
@href = https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85201677751&origin=inward

@_fa = true
@ref = scopus-citedby
@href = https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85201677751&origin=inward

@_fa = true
@ref = full-text
@href = https://api.elsevier.com/content/article/eid/1-s2.0-S0169260724003687

Physically informed deep neural networks for metabolite-corrected plasma input function estimation in dynamic PET imaging; Computer Methods and Programs in Biomedicine; November 2024; DOI: 10.1016/j.cmpb.2024.108375
prism:url = https://api.elsevier.com/content/abstract/scopus_id/85201677751
dc:identifier = SCOPUS_ID:85201677751
eid = 2-s2.0-85201677751
dc:creator = Ferrante M.
prism:publicationName = Computer Methods and Programs in Biomedicine
prism:issn = 01692607
prism:eIssn = 18727565
prism:volume = 256
prism:issueIdentifier =
prism:pageRange =
prism:coverDate = 2024-11-01
prism:coverDisplayDate = November 2024
prism:doi = 10.1016/j.cmpb.2024.108375
citedby-count = 0

@_fa = true
affilname = Università degli Studi di Roma "Tor Vergata"
affiliation-city = Rome
affiliation-country = Italy

pubmed-id = 39180914
prism:aggregationType = Journal
subtype = ar
subtypeDescription = Article
article-number = 108375
source-id = 23604
openaccess = 1
openaccessFlag = true
value:

$ = all

$ = publisherhybridgold

value:

$ = All Open Access

$ = Hybrid Gold

prism:isbn:

@_fa =
$ =

pii = S0169260724003687

inizio

@_fa = true

@_fa = true
@ref = self
@href = https://api.elsevier.com/content/abstract/scopus_id/85198588569

@_fa = true
@ref = author-affiliation
@href = https://api.elsevier.com/content/abstract/scopus_id/85198588569?field=author,affiliation

@_fa = true
@ref = scopus
@href = https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85198588569&origin=inward

@_fa = true
@ref = scopus-citedby
@href = https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85198588569&origin=inward

@_fa = true
@ref = full-text
@href = https://api.elsevier.com/content/article/eid/1-s2.0-S2215036624001871

Cortical structure and subcortical volumes in conduct disorder: a coordinated analysis of 15 international cohorts from the ENIGMA-Antisocial Behavior Working Group; The Lancet Psychiatry; August 2024; DOI: 10.1016/S2215-0366(24)00187-1
prism:url = https://api.elsevier.com/content/abstract/scopus_id/85198588569
dc:identifier = SCOPUS_ID:85198588569
eid = 2-s2.0-85198588569
dc:creator = Gao Y.
prism:publicationName = The Lancet Psychiatry
prism:issn = 22150366
prism:eIssn = 22150374
prism:volume = 11
prism:issueIdentifier = 8
prism:pageRange = 620-632
prism:coverDate = 2024-08-01
prism:coverDisplayDate = August 2024
prism:doi = 10.1016/S2215-0366(24)00187-1
citedby-count = 3

@_fa = true
affilname = University of Birmingham
affiliation-city = Birmingham
affiliation-country = United Kingdom

pubmed-id = 39025633
prism:aggregationType = Journal
subtype = ar
subtypeDescription = Article
article-number =
source-id = 21100356804
openaccess = 1
openaccessFlag = true
value:

$ = all

$ = repository

$ = repositoryvor

value:

$ = All Open Access

$ = Green

prism:isbn:

@_fa =
$ =

pii = S2215036624001871

Last 5 articles (PubMed)