CRIS Current Research Information System

MOTTOLA, MARGHERITA
 Distribuzione geografica
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Continente #
EU - Europa 1.872
NA - Nord America 1.381
AS - Asia 859
AF - Africa 64
SA - Sud America 8
OC - Oceania 6
Totale 4.190
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Nazione #
US - Stati Uniti d'America 1.368
GB - Regno Unito 828
IT - Italia 359
IN - India 214
DE - Germania 202
CN - Cina 198
SE - Svezia 167
SG - Singapore 164
FR - Francia 67
IR - Iran 65
VN - Vietnam 59
IE - Irlanda 49
RU - Federazione Russa 43
FI - Finlandia 36
TR - Turchia 33
KR - Corea 29
TG - Togo 27
ZA - Sudafrica 26
JO - Giordania 22
AT - Austria 20
HK - Hong Kong 19
CH - Svizzera 15
HR - Croazia 12
EE - Estonia 11
MY - Malesia 11
UA - Ucraina 11
BG - Bulgaria 10
ID - Indonesia 10
PL - Polonia 10
CA - Canada 8
ES - Italia 8
NL - Olanda 8
PH - Filippine 8
CI - Costa d'Avorio 7
PK - Pakistan 7
RO - Romania 7
AU - Australia 6
IL - Israele 6
JP - Giappone 6
BD - Bangladesh 3
BE - Belgio 3
BR - Brasile 3
CL - Cile 3
CR - Costa Rica 3
GH - Ghana 3
GR - Grecia 2
LB - Libano 2
MX - Messico 2
PE - Perù 2
PT - Portogallo 2
TH - Thailandia 2
HU - Ungheria 1
KZ - Kazakistan 1
MU - Mauritius 1
SK - Slovacchia (Repubblica Slovacca) 1
Totale 4.190
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Città #
Southend 791
Chandler 261
Hyderabad 153
Singapore 144
Ashburn 125
Bologna 94
Santa Clara 76
Wilmington 61
Fairfield 60
Princeton 56
Houston 51
Boardman 50
Dublin 47
Frankfurt am Main 37
Dong Ket 34
Ann Arbor 33
Helsinki 33
Istanbul 32
Redmond 31
Cambridge 27
Lomé 27
Beijing 24
Los Angeles 23
Amman 22
Medford 22
Seattle 20
Berlin 19
Munich 19
Milan 18
Rome 18
Vienna 18
Westminster 17
Woodbridge 17
Kuban 16
Des Moines 14
Turin 11
Changsha 10
Olalla 10
Sofia 10
Guangzhou 9
Nanjing 9
New York 9
San Diego 9
Jakarta 8
Jinan 8
Seoul 8
The Bronx 8
Abidjan 7
Modena 7
Pietermaritzburg 7
Pocheon-si 7
Augusta 6
Hebei 6
London 6
Novara 6
Peshawar 6
Redwood City 6
Seri Kembangan 6
Shenyang 6
Washington 6
Amsterdam 5
Bern 5
Bethesda 5
Falls Church 5
Grafing 5
Hanover 5
Hong Kong 5
Miami 5
Paris 5
Saint Petersburg 5
Seodaemun-gu 5
Shenzhen 5
Taiyuan 5
Tel Aviv 5
Walsall 5
Wuhan 5
Afragola 4
Bremen 4
Costa Mesa 4
Krakow 4
Lawrence 4
Lonigo 4
Madrid 4
Manchester 4
Monza 4
Nuremberg 4
Reggio Emilia 4
Timisoara 4
Accra 3
Brussels 3
Catania 3
Cheonan 3
Dearborn 3
Dhaka 3
Falkenstein 3
Kuala Lumpur 3
Lappeenranta 3
Mantignana 3
Naples 3
Padova 3
Totale 2.845
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Nome #
Human, All Too Human? An All-Around Appraisal of the “Artificial Intelligence Revolution” in Medical Imaging 198
mpMRI detection of suspected prostate cancer with a negative biopsy: can radiomic features help radiologists? 192
Radiomic features disclose the presence of microvascular invasion in hepatocellular carcinoma 184
Comparison of 68Ga-PSMA SUVmax and tumour heterogeneity in DW-MRI 175
Radiomics in DW-MRI detects non-clinically significant prostate cancer and reduces overtreatment 173
Prostate cancer heterogeneity in high b-value DWI correlates with [68Ga]-PSMA PET/CT: preliminary results 170
Risk stratification of patients with prostate cancer: promising results with high b-value DWI radiomic features 167
CT perfusion of liver in patients with colorectal cancer allows discriminating patients who will develop liver metastases 161
Diffusion weighted imaging in prostate cancer: a descriptor of tumour habitat differentiates high-risk and low-risk lesions 155
Reproducibility of Computed Tomography perfusion parameters in hepatic multicentre study in patients with colorectal cancer 153
Colormaps of CT perfusion parameters computed using different methods visually match 152
Heterogeneity of skewness in T2w-MR images of locally advanced rectal cancer relates with response to neoadjuvant chemoradiotherapy 152
A patient-driven approach to improve reproducibility of blood flow values in CT perfusion of liver 148
Locally advanced rectal cancer: T2w-MRI-based radiomics may detect responder patients undergoing neoadjuvant chemoradiotherapy 141
Extracting equilibrium Blood Flow (eBF) values of CTp liver perfusion from tissue peak: a new promising perfusion parameter 135
Blood flow assessment of liver in patients with colorectal cancer: results agreement in a Computed Tomography perfusion multicentre study 134
The Heterogeneity of Skewness in T2W-Based Radiomics Predicts the Response to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer 125
Prostate cancer staging based on high b-value diffusion weighted magnetic resonance imaging 124
Predicting clinical evolution of prostate cancer in active surveillance: early suggestions from DW-MRI 118
CT perfusion maps of liver computed with different methods match 116
null 111
A radiomic signature for detecting prostate cancer with multi-parametric MRI 111
To assess the role of radiomic features from high b-value DWI sequences in the early detection of clinically significant prostate cancer (PCa) 107
Errors of a controlled Time-Concentration Curve fitting in CT perfusion uniformly affect perfusion values computed with two different methods 101
Automatically extracted machine learning features from preoperative CT to early predict microvascular invasion in HCC: the role of the Zone of Transition (ZOT) 101
The Primacy of High b-Value 3T-DWI Radiomics in the Prediction of Clinically Significant Prostate Cancer 100
Skewness of HPI as a suggestive biomarker to predict development of liver metastases in patients with colorectal cancer 94
Radiomic Features from Post-Operative 18F-FDG PET/CT and CT Imaging Associated with Locally Recurrent Rectal Cancer: Preliminary Findings 78
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 76
Reproducibility of CT-based radiomic features against image resampling and perturbations for tumour and healthy kidney in renal cancer patients 62
L'Intelligenza Artificiale nella diagnosi precoce nell'invasione microvascolare nell'epatocarcinoma in stadio iniziale 58
LE PROPRIETÀ NASCOSTE NELL’IMMAGINE RM PER RILEVARE AUTOMATICAMENTE LA ZONA DI TRANSIZIONE TRA CARCINOMA RETTALE LOCALMENTE AVANZATO E TESSUTO SANO, E PREDIRE LA RISPOSTA ALLA TERAPIA NEO-ADIUVANTE 57
Beyond Multiparametric MRI and towards Radiomics to Detect Prostate Cancer: A Machine Learning Model to Predict Clinically Significant Lesions 49
Analysis of the effects of fitting errors of DCE-CT signals on perfusion parameters 44
Beyond multiparametric MRI and towards radiomics to detect prostate cancer: A machine learning model to predict clinically significant lesions 37
Automatically Extracted Machine Learning Features from Preoperative CT to Early Predict Microvascular Invasion in HCC: The Role of the Zone of Transition (ZOT) 29
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” 22
Beyond multiparametric MRI and towards radiomics to detect prostate cancer: A machine learning model to predict clinically significant lesions 21
The effectiveness of an adaptive method to analyse the transition between tumour and peritumour for answering two clinical questions in cancer imaging 20
Totale 4.351
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Categoria #
all - tutte 11.833
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 11.833
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2019/2020151 0 0 0 0 0 0 10 20 24 17 34 46
2020/2021854 96 21 5 11 48 35 51 77 147 65 113 185
2021/2022823 48 63 41 40 106 42 43 63 84 24 166 103
2022/2023976 98 168 61 101 68 122 16 55 135 34 62 56
2023/2024728 30 59 39 53 47 252 36 71 34 41 35 31
2024/2025631 63 116 86 96 159 99 12 0 0 0 0 0
Totale 4.351