CRIS Current Research Information System

BEVILACQUA, ALESSANDRO
 Distribuzione geografica
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Continente #
EU - Europa 2.772
NA - Nord America 1.115
AS - Asia 348
AF - Africa 140
Continente sconosciuto - Info sul continente non disponibili 15
SA - Sud America 11
OC - Oceania 2
Totale 4.403
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Nazione #
FR - Francia 1.911
US - Stati Uniti d'America 1.081
IT - Italia 177
IN - India 116
DE - Germania 90
NL - Olanda 90
CZ - Repubblica Ceca 88
CN - Cina 84
GB - Regno Unito 74
IE - Irlanda 69
RU - Federazione Russa 61
UA - Ucraina 57
AT - Austria 35
ZA - Sudafrica 32
TG - Togo 31
CA - Canada 25
BG - Bulgaria 24
NG - Nigeria 23
AE - Emirati Arabi Uniti 19
VN - Vietnam 19
HK - Hong Kong 18
JP - Giappone 17
SE - Svezia 16
FI - Finlandia 15
MA - Marocco 13
TR - Turchia 13
CI - Costa d'Avorio 11
EU - Europa 11
GR - Grecia 10
KR - Corea 9
ZM - Zambia 9
PL - Polonia 8
BJ - Benin 7
ES - Italia 7
MK - Macedonia 7
PH - Filippine 7
SG - Singapore 7
CH - Svizzera 6
MX - Messico 6
MY - Malesia 6
TW - Taiwan 6
ID - Indonesia 5
MD - Moldavia 5
PK - Pakistan 5
RS - Serbia 5
SK - Slovacchia (Repubblica Slovacca) 5
UZ - Uzbekistan 5
BR - Brasile 4
CL - Cile 4
GH - Ghana 3
IR - Iran 3
KE - Kenya 3
RO - Romania 3
A1 - Anonimo 2
AU - Australia 2
AZ - Azerbaigian 2
BF - Burkina Faso 2
CO - Colombia 2
HN - Honduras 2
HU - Ungheria 2
IQ - Iraq 2
LV - Lettonia 2
UG - Uganda 2
XK - ???statistics.table.value.countryCode.XK??? 2
AR - Argentina 1
BE - Belgio 1
CR - Costa Rica 1
DK - Danimarca 1
ET - Etiopia 1
IS - Islanda 1
KH - Cambogia 1
MO - Macao, regione amministrativa speciale della Cina 1
NA - Namibia 1
NO - Norvegia 1
QA - Qatar 1
SA - Arabia Saudita 1
SI - Slovenia 1
SN - Senegal 1
TH - Thailandia 1
TN - Tunisia 1
Totale 4.403
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Città #
Paris 289
Ashburn 217
Santa Cruz 72
Dublin 69
Seattle 49
Mumbai 38
Fairfield 36
Buffalo 35
Bologna 33
Vienna 33
Lomé 28
Council Bluffs 27
Milan 27
Southend 26
Woodbridge 22
Amsterdam 21
Cambridge 21
Boardman 20
Houston 20
Naaldwijk 19
Sofia 19
Bremen 18
Los Angeles 16
Chicago 14
Hyderabad 14
Las Vegas 14
New York 13
Redmond 13
Wilmington 13
Boydton 12
Columbus 12
Dong Ket 12
Helsinki 12
Eygelshoven 11
Frankfurt am Main 11
Ann Arbor 9
Dallas 9
New Delhi 9
Tokyo 9
Toronto 9
Beijing 8
London 8
Malmo 8
San Diego 8
Shanghai 8
Abidjan 7
Bryanston 7
Jinan 7
Lagos 7
Marrakesh 7
Bozyazi 6
Central 6
Central District 6
Chennai 6
Guangzhou 6
Istanbul 6
Mahbubnagar 6
Shenyang 6
Singapore 6
Barcelona 5
Changsha 5
Fleming Island 5
Manchester 5
Marseille 5
Reston 5
Seoul 5
Benin City 4
Bratislava 4
Clearwater 4
Davis 4
Forlì 4
Guntur 4
Hangzhou 4
Johannesburg 4
Katsina 4
Kuala Lumpur 4
Olalla 4
Ottawa 4
Petersfield 4
Phoenix 4
Portland 4
Rome 4
San Mateo 4
Serres 4
Stockholm 4
Tulsa 4
Ancona 3
Bengaluru 3
Delhi 3
Des Moines 3
Henderson 3
Lake Forest 3
Miami 3
Montreal 3
Muizenberg 3
Nagareyama 3
Nairobi 3
Navi Mumbai 3
Palermo 3
Palo Alto 3
Totale 1.637
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Nome #
Automatic computation of liver and lung perfusion parameters through the analysis of CT image sequences, file e1dcb335-60f0-7715-e053-1705fe0a6cc9 512
Can perfusion heterogeneity in CT perfusion maps of NSCLC flaw clinical considerations based on global mean blood flow values?, file e1dcb335-6adb-7715-e053-1705fe0a6cc9 478
Radiomics in DW-MRI detects non-clinically significant prostate cancer and reduces overtreatment, file e1dcb335-ab59-7715-e053-1705fe0a6cc9 427
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 390
Risk stratification of patients with prostate cancer: promising results with high b-value DWI radiomic features, file e1dcb335-c58f-7715-e053-1705fe0a6cc9 301
Radiomic analysis performed on 68Ga-DOTANOC PET/CT allows discriminating primary pancreatic neuroendocrine tumour grading, file 100b332c-470e-42c6-92f3-a04b03027250 296
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
CIDRE: an illumination-correction method for optical microscopy, file e1dcb338-3a4e-7715-e053-1705fe0a6cc9 114
SUV95th as a reliable alternative to SUVmax for determining renal uptake in 68Ga-PSMA PET/CT, file 85695787-bf5c-447a-a86e-f35f7b636801 113
Advances in cancer modeling: fluidic systems for increasing representativeness of large 3D multicellular spheroids, file e1dcb335-26d7-7715-e053-1705fe0a6cc9 103
"3D tumor spheroid models for in vitro therapeutic screening: a systematic approach to enhance the biological relevance of data obtained", file e1dcb337-e38c-7715-e053-1705fe0a6cc9 85
Open-source tools for volume estimation of 3D multicellular aggregates, file e1dcb334-b3d8-7715-e053-1705fe0a6cc9 76
CT perfusion in patients with lung cancer: Squamous cell Carcinoma and Adenocarcinoma show a different Blood Flow, file e1dcb335-7656-7715-e053-1705fe0a6cc9 75
Colour vignetting correction for microscopy image mosaics used for quantitative analyses, file e1dcb335-6bad-7715-e053-1705fe0a6cc9 69
A [68Ga]Ga-DOTANOC PET/CT radiomic model for non-invasive prediction of tumour grade in pancreatic neuroendocrine tumours, file e1dcb337-5c93-7715-e053-1705fe0a6cc9 64
TP53 drives abscopal effect by secretion of senescence-associated molecular signals in non small cell lung cancer, file e1dcb337-78c0-7715-e053-1705fe0a6cc9 64
A new holistic 3D non-invasive analysis of cellular distribution and motility on fibroinalginate microcarriers using light sheet fluorescent microscopy, file e1dcb336-ab91-7715-e053-1705fe0a6cc9 62
Human, All Too Human? An All-Around Appraisal of the “Artificial Intelligence Revolution” in Medical Imaging, file e1dcb338-92fa-7715-e053-1705fe0a6cc9 55
Identification of sclerostin as a putative new myokine involved in the muscle-to-bone crosstalk, file e1dcb337-6476-7715-e053-1705fe0a6cc9 53
Density Distribution Maps: A Novel Tool for Subcellular Distribution Analysis and Quantitative Biomedical Imaging, file e1dcb337-9796-7715-e053-1705fe0a6cc9 49
Co-Density Distribution Maps for Advanced Molecule Colocalization And Co-Distribution Analysis, file e1dcb338-44a7-7715-e053-1705fe0a6cc9 40
Prostate cancer heterogeneity in high b-value DWI correlates with [68Ga]-PSMA PET/CT: preliminary results, file e1dcb335-ec20-7715-e053-1705fe0a6cc9 38
Exploratory radiomic features from integrated 18F-fluorodeoxyglucose positron emission tomography/magnetic resonance imaging are associated with contemporaneous metastases in oesophageal/gastroesophageal cancer, file e1dcb337-c0e9-7715-e053-1705fe0a6cc9 37
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
Pro-inflammatory RNA:DNA hybrids are p53 independently boosted by hyperbaric oxygen: a subcellular distribution analysis by automated quantitative imaging, file cc19bda6-b2e9-4994-8dfe-6e042056c3b1 28
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
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 16
The Effects of Baseline Length in Computed Tomography Perfusion of Liver, file a95e0c7d-0d70-408f-818b-6a8baa20a163 14
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
Identification of sclerostin as a putative new myokine involved in the muscle-to-bone crosstalk, file e1dcb337-7f94-7715-e053-1705fe0a6cc9 10
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 9
Reproducibility of Computed Tomography perfusion parameters in hepatic multicentre study in patients with colorectal cancer, file 83ffbded-8515-4519-ac6c-f3b8df49502b 9
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
null, file e1dcb32c-61fa-7715-e053-1705fe0a6cc9 4
MUSIQ: a reliable method for the quantification of E. coli single cell fluorescence distributions using a standard microscope set-up, file e1dcb330-db51-7715-e053-1705fe0a6cc9 3
Cell Counting and viability assessment of 2D and 3D cell cultures: expected reliability of the Trypan Blue assay, file e1dcb330-18bb-7715-e053-1705fe0a6cc9 2
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
Analysis of beam-induced quenches of the LHC cables with a multi-strand model, file e1dcb32d-0e6b-7715-e053-1705fe0a6cc9 1
A [68Ga]Ga-DOTANOC PET/CT radiomic model for non-invasive prediction of tumour grade in pancreatic neuroendocrine tumours, file e1dcb339-faa1-7715-e053-1705fe0a6cc9 1
Totale 4.502
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Categoria #
all - tutte 10.041
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 10.041
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2019/202045 0 0 0 0 0 0 0 0 0 15 14 16
2020/2021495 36 57 19 43 54 64 43 49 31 25 38 36
2021/2022546 42 26 19 40 53 29 36 39 27 42 122 71
2022/2023814 29 44 144 106 54 45 29 39 107 58 114 45
2023/20242.598 43 51 57 70 65 1.518 488 90 96 97 23 0
Totale 4.502