1.5 Abstract in rivista

1.5 Abstract in rivista: [2933] Home page tipologia

Sfoglia

Prodotti della tipologia (ordinati per Data di deposito in Decrescente ordine): 1 a 20 di 2.933

A comparative analysis of national dementia plans: preventive strategies in five European countries

2024-01-01 Blandi, L; Clemens, T; Brand, H; Odone, A

PSMA PET in brain metastases: navigating diagnostic challenges– a thorough exploration

2024-01-01 Jonghi-Lavarini, L.; Fallanca, F.; Pepe, G.; Bezzi, C.; Ghezzo, S.; Chiti, A.; Mapelli, P.; Picchio, M.

COULD GLYCATED HEMOGLOBIN BE LEAKAGE PREDICTOR IN SLEEVE GASTRECTOMY?

2023-01-01 Cesana, G; Olmi, S; Bonaldi, M; Uccelli, M; Andreasi, V; Fermi, F

Combining clinical data, genetics, and adverse childhood experiences for suicidality prediction in mood disorders: a machine learning approach

2023-01-01 Fortaner-Uyà, L.; Mazzilli, F.; Monopoli, C.; Calesella, F.; Colombo, F.; Bravi, B.; Fabbri, C.; Serretti, A.; Lorenzi, C.; Spadini, S.; Mascia, E.; Poletti, S.; Bollettini, I.; Benedetti, F.; Vai, B.

P139 The learning curve of intestinal ultrasonography in assessing inflammatory bowel disease : preliminary results

2013-01-01 Monteleone, M.; Friedman, A.; Furfaro, F.; Dell'Era, A.; Bezzio, C.; Maconi, G.

Predicting cognitive impairment in depression: a machine learning approach on multimodal structural neuroimaging

2023-01-01 Monopoli, C.; Calesella, F.; Verri, A.; Fortaner-Uyà, L.; Colombo, F.; Bravi, B.; Bollettini, I.; Poletti, S.; Benedetti, F.; Vai, B.

Role of CT in the preoperatory setting of transcatheter mitral valve interventions: which is the correct phase for mitral annulus sizing?

2020-01-01 Nicoletti, V; Palmisano, A; Vignale, D; Pannone, L; Colantoni, C; Del Maschio, A; De Cobelli, F

The specificity of insulin autoantibody (IAA) measurement is improved by using a luciferase-based immunoprecipitation system (LIPS) assay with a proinsulin tracer

2018-01-01 Wyatt, Rc; Liberati, D; Brigatti, C; Grace, Sl; Gillard, Bt; Gillespie, Km; Achenbach, P; Piemonti, L; Lampasona, V; Williams, Ajk; Marzinotto, I

Risk factors for depression and anxiety in Crohn's disease

2014-01-01 Furfaro, F.; Daniele, Gridavilla; Cristina, Bezzio; Orlandini, L.; Dell'Era, A.; Michela, Monteleone; Ardizzone, S.; Maconi, G.

Cognitive distortions and structural neuroimaging data predict depression severity in unipolar and bipolar depression: a machine learning study

2023-01-01 Perziani, S.; Colombo, F.; Calesella, F.; Fortaner-Uyà, L.; Monopoli, C.; Bravi, B.; Poletti, S.; Bollettini, I.; Benedetti, F.; Vai, B.

A luciferase-based immunoprecipitation system (LIPS) assay using a truncated glutamate decarboxylase (GAD) tracer improves the specificity of GAD autoantibody measurement

2018-01-01 Wyatt, Rc; Liberati, D; Grace, Sl; Brigatti, C; Gillard, Bt; Gillespie, Km; Achenbach, P; Piemonti, L; Lampasona, V; Williams, Ajk; Marzinotto, I

Functional neuroimaging for the differentiation between healthy controls, depressed bipolar and major depressive patients: a machine learning study

2023-01-01 Calesella, F.; Serra, E.; Colombo, F.; Fortaner-Uyà, L.; Monopoli, C.; Bravi, B.; Tassi, E.; Bollettini, I.; Brambilla, P.; Poletti, S.; Maggioni, E.; Benedetti, F.; Vai, B.

Moving beyond clinical approaches: machine learning on neuroimaging and cognitive features for the differential diagnosis between unipolar and bipolar depression

2023-01-01 Serra, E.; Calesella, F.; Colombo, F.; Bravi, B.; Fortaner-Uyà, L.; Monopoli, C.; Poletti, S.; Bollentini, I.; Benedetti, F.; Vai, B.

Unsupervised neurobiology-driven stratification of clinical heterogeneity in depression

2023-01-01 Colombo, F.; Calesella, F.; Bravi, B.; Fortaner-Uyà, L.; Monopoli, C.; Maggioni, E.; Tassi, E.; Zanardi, R.; Attanasio, F.; Bollettini, I.; Poletti, S.; Benedetti, F.; Vai, B.

Early T1 shortening (eT1sh): a new CMR parameter to detect myocardial hyperemia in acute myocarditis

2020-01-01 Palmisano, A; Benedetti, G; Faletti, R; Gatti, M; Galea, N; Francone, M; de Cobelli, F; DEL MASCHIO, Alessandro; Esposito, A

Unsupervised neurobiologically-driven stratification of clinical heterogeneity in treatment-resistant depression

2023-01-01 Colombo, F.; Calesella, F.; Bravi, B.; Fortaner-Uyà, L.; Monopoli, C.; Carminati, M.; Zanardi, R.; Bollettini, I.; Poletti, S.; Benedetti, F.; Vai, B.

One-Anastomosis Gastric Bypass (OAGB) vs Single Anastomosis Duodeno-ileal Bypass (SADI) as revisional procedure following Sleeve Gastrectomy: results of a multicenter study.

2023-01-01 Gallucci, P; Berardi, G; Uccelli, M; Marincola, G; Pennestrì, F; Ciccoritti, L; Salvi, G; Greco, F; Vitiello, A; Cesana, G; Musella, M; Olmi, S; Raffaelli, M.

Cardiac CT with triple-rule-out (TRO) and late iodine enhancement (LIE) acquisition in the evaluation of patients presenting with acute troponin elevation

2020-01-01 Vignale, D; Palmisano, A; Boccia, E; Gatti, M; Faletti, R; Moroni, F; de Stefano, D; de Cobelli, F; Esposito, A

ASO Visual Abstract: Detecting Somatic Mutations for Well-Differentiated Pancreatic Neuroendocrine Tumors in Endoscopic Ultrasound-Guided Fine Needle Aspiration with Next-Generation Sequencing

2023-01-01 Ghabi, Em; Habib, Jr; Shoucair, S; Javed, Aa; Sham, J; Burns, Wr; Cameron, Jl; Ali, Sz; Shin, Ej; Arcidiacono, Pg; Doglioni, C; Falconi, M; Yu, J; Partelli, S; He, J

ENDOSCOPIC ULTRASOUND-GUIDED HYBRID THERM ABLATION (EUS-HTP) IN PATIENTS (PTS) WITH LOCALLY ADVANCED (LA) PANCREATIC DUCTAL ADENOCARCINOMA (PDAC): A CASE-CONTROL COMPARATIVE SURVIVAL ANALYSIS

2019-01-01 Testoni, S; Petrone, ; M. C., (Petrone; M. C., ).; Capurso, ; G., (Capurso; G., ).; Rossi, ; G., (Rossi; G., ).; Archibugi, ; L., (Archibugi; L., ).; Traini, ; M., (Traini; M., ).; Reni, ; M., (Reni; M., ).; Falconi, ; M., (Falconi; M., ).; Arcidiacono, ; P. G., (Arcidiacono; P. G., ).

Titolo	Data di pubblicazione	Autore(i)
A comparative analysis of national dementia plans: preventive strategies in five European countries	1-gen-2024	Blandi, L; Clemens, T; Brand, H; Odone, A
PSMA PET in brain metastases: navigating diagnostic challenges– a thorough exploration	1-gen-2024	Jonghi-Lavarini, L.; Fallanca, F.; Pepe, G.; Bezzi, C.; Ghezzo, S.; Chiti, A.; Mapelli, P.; Picchio, M.
COULD GLYCATED HEMOGLOBIN BE LEAKAGE PREDICTOR IN SLEEVE GASTRECTOMY?	1-gen-2023	Cesana, G; Olmi, S; Bonaldi, M; Uccelli, M; Andreasi, V; Fermi, F
Combining clinical data, genetics, and adverse childhood experiences for suicidality prediction in mood disorders: a machine learning approach	1-gen-2023	Fortaner-Uyà, L.; Mazzilli, F.; Monopoli, C.; Calesella, F.; Colombo, F.; Bravi, B.; Fabbri, C.; Serretti, A.; Lorenzi, C.; Spadini, S.; Mascia, E.; Poletti, S.; Bollettini, I.; Benedetti, F.; Vai, B.
P139 The learning curve of intestinal ultrasonography in assessing inflammatory bowel disease : preliminary results	1-gen-2013	Monteleone, M.; Friedman, A.; Furfaro, F.; Dell'Era, A.; Bezzio, C.; Maconi, G.
Predicting cognitive impairment in depression: a machine learning approach on multimodal structural neuroimaging	1-gen-2023	Monopoli, C.; Calesella, F.; Verri, A.; Fortaner-Uyà, L.; Colombo, F.; Bravi, B.; Bollettini, I.; Poletti, S.; Benedetti, F.; Vai, B.
Role of CT in the preoperatory setting of transcatheter mitral valve interventions: which is the correct phase for mitral annulus sizing?	1-gen-2020	Nicoletti, V; Palmisano, A; Vignale, D; Pannone, L; Colantoni, C; Del Maschio, A; De Cobelli, F
The specificity of insulin autoantibody (IAA) measurement is improved by using a luciferase-based immunoprecipitation system (LIPS) assay with a proinsulin tracer	1-gen-2018	Wyatt, Rc; Liberati, D; Brigatti, C; Grace, Sl; Gillard, Bt; Gillespie, Km; Achenbach, P; Piemonti, L; Lampasona, V; Williams, Ajk; Marzinotto, I
Risk factors for depression and anxiety in Crohn's disease	1-gen-2014	Furfaro, F.; Daniele, Gridavilla; Cristina, Bezzio; Orlandini, L.; Dell'Era, A.; Michela, Monteleone; Ardizzone, S.; Maconi, G.
Cognitive distortions and structural neuroimaging data predict depression severity in unipolar and bipolar depression: a machine learning study	1-gen-2023	Perziani, S.; Colombo, F.; Calesella, F.; Fortaner-Uyà, L.; Monopoli, C.; Bravi, B.; Poletti, S.; Bollettini, I.; Benedetti, F.; Vai, B.
A luciferase-based immunoprecipitation system (LIPS) assay using a truncated glutamate decarboxylase (GAD) tracer improves the specificity of GAD autoantibody measurement	1-gen-2018	Wyatt, Rc; Liberati, D; Grace, Sl; Brigatti, C; Gillard, Bt; Gillespie, Km; Achenbach, P; Piemonti, L; Lampasona, V; Williams, Ajk; Marzinotto, I
Functional neuroimaging for the differentiation between healthy controls, depressed bipolar and major depressive patients: a machine learning study	1-gen-2023	Calesella, F.; Serra, E.; Colombo, F.; Fortaner-Uyà, L.; Monopoli, C.; Bravi, B.; Tassi, E.; Bollettini, I.; Brambilla, P.; Poletti, S.; Maggioni, E.; Benedetti, F.; Vai, B.
Moving beyond clinical approaches: machine learning on neuroimaging and cognitive features for the differential diagnosis between unipolar and bipolar depression	1-gen-2023	Serra, E.; Calesella, F.; Colombo, F.; Bravi, B.; Fortaner-Uyà, L.; Monopoli, C.; Poletti, S.; Bollentini, I.; Benedetti, F.; Vai, B.
Unsupervised neurobiology-driven stratification of clinical heterogeneity in depression	1-gen-2023	Colombo, F.; Calesella, F.; Bravi, B.; Fortaner-Uyà, L.; Monopoli, C.; Maggioni, E.; Tassi, E.; Zanardi, R.; Attanasio, F.; Bollettini, I.; Poletti, S.; Benedetti, F.; Vai, B.
Early T1 shortening (eT1sh): a new CMR parameter to detect myocardial hyperemia in acute myocarditis	1-gen-2020	Palmisano, A; Benedetti, G; Faletti, R; Gatti, M; Galea, N; Francone, M; de Cobelli, F; DEL MASCHIO, Alessandro; Esposito, A
Unsupervised neurobiologically-driven stratification of clinical heterogeneity in treatment-resistant depression	1-gen-2023	Colombo, F.; Calesella, F.; Bravi, B.; Fortaner-Uyà, L.; Monopoli, C.; Carminati, M.; Zanardi, R.; Bollettini, I.; Poletti, S.; Benedetti, F.; Vai, B.
One-Anastomosis Gastric Bypass (OAGB) vs Single Anastomosis Duodeno-ileal Bypass (SADI) as revisional procedure following Sleeve Gastrectomy: results of a multicenter study.	1-gen-2023	Gallucci, P; Berardi, G; Uccelli, M; Marincola, G; Pennestrì, F; Ciccoritti, L; Salvi, G; Greco, F; Vitiello, A; Cesana, G; Musella, M; Olmi, S; Raffaelli, M.
Cardiac CT with triple-rule-out (TRO) and late iodine enhancement (LIE) acquisition in the evaluation of patients presenting with acute troponin elevation	1-gen-2020	Vignale, D; Palmisano, A; Boccia, E; Gatti, M; Faletti, R; Moroni, F; de Stefano, D; de Cobelli, F; Esposito, A
ASO Visual Abstract: Detecting Somatic Mutations for Well-Differentiated Pancreatic Neuroendocrine Tumors in Endoscopic Ultrasound-Guided Fine Needle Aspiration with Next-Generation Sequencing	1-gen-2023	Ghabi, Em; Habib, Jr; Shoucair, S; Javed, Aa; Sham, J; Burns, Wr; Cameron, Jl; Ali, Sz; Shin, Ej; Arcidiacono, Pg; Doglioni, C; Falconi, M; Yu, J; Partelli, S; He, J
ENDOSCOPIC ULTRASOUND-GUIDED HYBRID THERM ABLATION (EUS-HTP) IN PATIENTS (PTS) WITH LOCALLY ADVANCED (LA) PANCREATIC DUCTAL ADENOCARCINOMA (PDAC): A CASE-CONTROL COMPARATIVE SURVIVAL ANALYSIS	1-gen-2019	Testoni, S; Petrone, ; M. C., (Petrone; M. C., ).; Capurso, ; G., (Capurso; G., ).; Rossi, ; G., (Rossi; G., ).; Archibugi, ; L., (Archibugi; L., ).; Traini, ; M., (Traini; M., ).; Reni, ; M., (Reni; M., ).; Falconi, ; M., (Falconi; M., ).; Arcidiacono, ; P. G., (Arcidiacono; P. G., ).

Prodotti della tipologia (ordinati per Data di deposito in Decrescente ordine): 1 a 20 di 2.933

Legenda icone

file ad accesso aperto
file disponibili sulla rete interna
file disponibili agli utenti autorizzati
file disponibili solo agli amministratori
file sotto embargo
nessun file disponibile

Scopri

Accesso al fulltext

no fulltext2906
reserved25
open2