CATTABRIGA, ARRIGO
 Distribuzione geografica
Continente #
EU - Europa 187
NA - Nord America 115
AS - Asia 31
AF - Africa 4
SA - Sud America 2
Totale 339
Nazione #
US - Stati Uniti d'America 112
IT - Italia 52
FR - Francia 40
IE - Irlanda 17
ES - Italia 16
BG - Bulgaria 14
DE - Germania 13
IN - India 11
RU - Federazione Russa 9
FI - Finlandia 7
NL - Olanda 6
UA - Ucraina 6
AE - Emirati Arabi Uniti 5
CN - Cina 5
GB - Regno Unito 3
ZA - Sudafrica 3
CA - Canada 2
CZ - Repubblica Ceca 2
LK - Sri Lanka 2
PE - Perù 2
TR - Turchia 2
AT - Austria 1
CH - Svizzera 1
CI - Costa d'Avorio 1
ID - Indonesia 1
IR - Iran 1
KR - Corea 1
MX - Messico 1
PH - Filippine 1
PK - Pakistan 1
SA - Arabia Saudita 1
Totale 339
Città #
Ashburn 37
Bologna 31
Dublin 17
Madrid 16
Sofia 14
Los Angeles 8
Council Bluffs 7
Hyderabad 6
Milan 6
Moscow 6
Chicago 5
Helsinki 5
New York 4
Rimini 4
Cleveland 3
Seattle 3
Amsterdam 2
Atlanta 2
Beijing 2
Boardman 2
Broadview Heights 2
Cardiff 2
Columbus 2
Delhi 2
Fleming Island 2
Istanbul 2
Kempton Park 2
Lappeenranta 2
Lawrence 2
Lima 2
Mountain View 2
Paris 2
Pune 2
Shanghai 2
Turin 2
Abidjan 1
Bern 1
Bremen 1
Catania 1
Chennai 1
Crugers 1
Faenza 1
Fano 1
Federal Way 1
Forlì 1
Frankfurt am Main 1
Jakarta 1
Lahore 1
Lipa City 1
Livorno 1
London 1
Montreal 1
Nancy 1
Nizhniy Novgorod 1
Nuremberg 1
Pasadena 1
Phoenix 1
Pietermaritzburg 1
Piscataway 1
Providence 1
Rome 1
Roseville 1
San Juan del Río 1
St Petersburg 1
Tavagnacco 1
Tehran 1
Termoli 1
Toronto 1
Vienna 1
Vigonovo 1
Yongin-si 1
Totale 246
Nome #
Human, All Too Human? An All-Around Appraisal of the “Artificial Intelligence Revolution” in Medical Imaging, file e1dcb338-92fa-7715-e053-1705fe0a6cc9 54
Classification performance for covid patient prognosis from automatic ai segmentation—a single-center study, file e1dcb338-d9b9-7715-e053-1705fe0a6cc9 54
Automated Prediction of the Response to Neoadjuvant Chemoradiotherapy in Patients Affected by Rectal Cancer, file cf9f18b6-6c42-410c-b713-49eccd71bf27 51
3D Patient-Specific Virtual Models for Presurgical Planning in Patients with Recto-Sigmoid Endometriosis Nodules: A Pilot Study, file 8c9396cc-b447-4e06-b968-14f482b8e301 36
Machine Learning Pipeline for the Automated Prediction of MicrovascularInvasion in HepatocellularCarcinomas, file 0af7197d-7663-4670-9891-ce8fa02d0f9d 30
Beyond Multiparametric MRI and towards Radiomics to Detect Prostate Cancer: A Machine Learning Model to Predict Clinically Significant Lesions, file fbd45fcb-b7f7-4f11-89e0-877d7267e5d1 21
Automatically extracted machine learning features from preoperative CT to early predict microvascular invasion in HCC: the role of the Zone of Transition (ZOT), file 8d34171c-d49a-43f1-a219-6c3074e340c5 20
The Heterogeneity of Skewness in T2W-Based Radiomics Predicts the Response to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer, file e1dcb337-7797-7715-e053-1705fe0a6cc9 17
Radiomics and magnetic resonance imaging of rectal cancer: From engineering to clinical practice, file e1dcb339-4c22-7715-e053-1705fe0a6cc9 15
Radiomic Features from Post-Operative 18F-FDG PET/CT and CT Imaging Associated with Locally Recurrent Rectal Cancer: Preliminary Findings, file c1e0a8ad-9435-4feb-9bc8-ef2ebaac595d 13
An Apparent Diffusion Coefficient-based machine learning model can improve Prostate Cancer detection in the grey area of the PI-RADS 3 category: a single-centre experience, file 8418af02-e7ff-49ec-a6fb-2da425101137 12
Automatically Extracted Machine Learning Features from Preoperative CT to Early Predict Microvascular Invasion in HCC: The Role of the Zone of Transition (ZOT), file 54feb943-f4b0-4d10-9bf0-b91675cdb263 8
Dynamic FDG PET/CT on bladder paraganglioma: A case report, file 44143604-edf5-49c3-a8f8-328f3518c4ef 3
3D Patient-Specific Virtual Models for Presurgical Planning in Patients with Recto-Sigmoid Endometriosis Nodules: A Pilot Study, file be0695b6-94c7-4486-b7a8-8cdbd3ef3d84 2
Classification performance for covid patient prognosis from automatic ai segmentation—a single-center study, file c4ec8b6b-2c88-4e9f-9517-47b28a341690 2
Automatically extracted machine learning features from preoperative CT to early predict microvascular invasion in HCC: the role of the Zone of Transition (ZOT), file 62f40167-40fb-435c-9beb-aabaa648a54b 1
Totale 339
Categoria #
all - tutte 1.886
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 1.886


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2022/2023131 3 8 7 5 13 6 13 10 22 11 20 13
2023/2024208 5 6 17 30 15 52 20 26 23 14 0 0
Totale 339