CRIS Current Research Information System

MOTTOLA, MARGHERITA
 Distribuzione geografica
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Continente #
EU - Europa 1.557
NA - Nord America 264
AS - Asia 162
AF - Africa 82
Continente sconosciuto - Info sul continente non disponibili 13
SA - Sud America 4
Totale 2.082
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Nazione #
FR - Francia 1.091
US - Stati Uniti d'America 244
IT - Italia 95
IN - India 72
NL - Olanda 63
DE - Germania 53
CZ - Repubblica Ceca 44
GB - Regno Unito 37
UA - Ucraina 37
CN - Cina 32
IE - Irlanda 32
RU - Federazione Russa 26
AT - Austria 25
TG - Togo 25
CA - Canada 16
NG - Nigeria 16
ZA - Sudafrica 12
EU - Europa 11
BG - Bulgaria 10
MA - Marocco 9
FI - Finlandia 8
BJ - Benin 7
JP - Giappone 7
TR - Turchia 7
HK - Hong Kong 6
PL - Polonia 6
CI - Costa d'Avorio 5
KR - Corea 5
SE - Svezia 5
AE - Emirati Arabi Uniti 4
GR - Grecia 4
MD - Moldavia 4
MY - Malesia 4
PH - Filippine 4
RS - Serbia 4
IR - Iran 3
PK - Pakistan 3
A1 - Anonimo 2
BF - Burkina Faso 2
CH - Svizzera 2
CO - Colombia 2
GH - Ghana 2
HN - Honduras 2
IQ - Iraq 2
LV - Lettonia 2
MK - Macedonia 2
MX - Messico 2
RO - Romania 2
SG - Singapore 2
TW - Taiwan 2
UZ - Uzbekistan 2
VN - Vietnam 2
AR - Argentina 1
BE - Belgio 1
BR - Brasile 1
ES - Italia 1
ET - Etiopia 1
ID - Indonesia 1
IS - Islanda 1
KE - Kenya 1
KH - Cambogia 1
NA - Namibia 1
NO - Norvegia 1
QA - Qatar 1
SA - Arabia Saudita 1
SI - Slovenia 1
SN - Senegal 1
TH - Thailandia 1
Totale 2.082
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Città #
Paris 170
Ashburn 55
Dublin 32
Lomé 24
Mumbai 22
Vienna 21
Milan 19
Bologna 16
Amsterdam 15
Naaldwijk 15
Hyderabad 13
Southend 13
Bremen 10
Eygelshoven 10
Sofia 10
Boardman 8
Council Bluffs 8
Toronto 8
Jinan 7
Los Angeles 7
Marrakesh 7
New York 7
Seattle 7
Tokyo 7
Boydton 6
Bozyazi 6
Dallas 6
Helsinki 6
London 6
Abidjan 5
Cambridge 5
Mahbubnagar 5
Redmond 5
Beijing 4
Benin City 4
Central 4
Changsha 4
Davis 4
Frankfurt am Main 4
Guntur 4
Lagos 4
Olalla 4
Reston 4
Rome 4
Tulsa 4
Ann Arbor 3
Bengaluru 3
Buffalo 3
Fleming Island 3
Malmo 3
Accra 2
Andover 2
Bedfordview 2
Bogotá 2
Cape Town 2
Chicago 2
Chisinau 2
Cosenza 2
Delhi 2
Des Moines 2
Guangzhou 2
Hamilton 2
Johannesburg 2
Kempton Park 2
Kuala Lumpur 2
Lawrence 2
Marousi 2
Marrakech 2
Marseille 2
Navoiy 2
Nuremberg 2
Orlando 2
Phoenix 2
Piscataway 2
Port Harcourt 2
San Antonio 2
San Mateo 2
San Salvo 2
Serres 2
Singapore 2
Teramo 2
Turin 2
Venezia 2
Wilmington 2
Woodbridge 2
Wroclaw 2
Yellowknife 2
Abuja 1
Ansan-si 1
Arba Minch 1
Bandar Baru Bangi 1
Bangkok 1
Belgrade 1
Bergen 1
Berlin 1
Bern 1
Bryanston 1
Bucharest 1
Buenos Aires 1
Bukit Mertajam 1
Totale 711
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Nome #
Radiomics in DW-MRI detects non-clinically significant prostate cancer and reduces overtreatment, file e1dcb335-ab59-7715-e053-1705fe0a6cc9 423
Prostate cancer heterogeneity in high b-value DWI correlates with [68Ga]-PSMA PET/CT: preliminary results, file e1dcb335-c11d-7715-e053-1705fe0a6cc9 419
mpMRI detection of suspected prostate cancer with a negative biopsy: can radiomic features help radiologists?, file e1dcb335-9c2f-7715-e053-1705fe0a6cc9 382
Risk stratification of patients with prostate cancer: promising results with high b-value DWI radiomic features, file e1dcb335-c58f-7715-e053-1705fe0a6cc9 298
Diffusion weighted imaging in prostate cancer: a descriptor of tumour habitat differentiates high-risk and low-risk lesions, file e1dcb335-c58b-7715-e053-1705fe0a6cc9 271
Human, All Too Human? An All-Around Appraisal of the “Artificial Intelligence Revolution” in Medical Imaging, file e1dcb338-92fa-7715-e053-1705fe0a6cc9 54
Prostate cancer heterogeneity in high b-value DWI correlates with [68Ga]-PSMA PET/CT: preliminary results, file e1dcb335-ec20-7715-e053-1705fe0a6cc9 38
Risk stratification of patients with prostate cancer: promising results with high b-value DWI radiomic features, file e1dcb335-ec1e-7715-e053-1705fe0a6cc9 36
mpMRI detection of suspected prostate cancer with a negative biopsy: can radiomic features help radiologists?, file e1dcb335-c11f-7715-e053-1705fe0a6cc9 34
Diffusion weighted imaging in prostate cancer: a descriptor of tumour habitat differentiates high-risk and low-risk lesions, file e1dcb335-ab5a-7715-e053-1705fe0a6cc9 28
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
Radiomics in DW-MRI detects non-clinically significant prostate cancer and reduces overtreatment, file e1dcb335-c11b-7715-e053-1705fe0a6cc9 17
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
The Primacy of High b-Value 3T-DWI Radiomics in the Prediction of Clinically Significant Prostate Cancer, file e1dcb337-95e2-7715-e053-1705fe0a6cc9 14
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 11
Reproducibility of Computed Tomography perfusion parameters in hepatic multicentre study in patients with colorectal cancer, file 83ffbded-8515-4519-ac6c-f3b8df49502b 9
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
Letter to the Editor on “Comparative performance of fully-automated and semi-automated artificial intelligence methods for the detection of clinically significant prostate cancer on MRI: a systematic review”, file 74a06b36-0228-4002-8146-5a2f9293bdb6 7
Reproducibility of CT-based radiomic features against image resampling and perturbations for tumour and healthy kidney in renal cancer patients, file e1dcb338-00ef-7715-e053-1705fe0a6cc9 5
The effectiveness of an adaptive method to analyse the transition between tumour and peritumour for answering two clinical questions in cancer imaging, file 58dbc79d-2564-4ff8-9e81-92cb9018cfe4 1
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 2.127
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Categoria #
all - tutte 4.556
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 4.556
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2020/2021244 14 41 14 29 44 26 25 14 9 6 9 13
2021/2022168 9 12 4 22 12 16 17 8 6 27 14 21
2022/2023378 10 22 52 47 24 30 16 24 52 24 59 18
2023/20241.337 21 17 20 32 30 842 243 28 53 51 0 0
Totale 2.127