GIANNINI, Valentina
 Distribuzione geografica
Continente #
NA - Nord America 4.146
AS - Asia 3.446
EU - Europa 1.962
SA - Sud America 475
AF - Africa 56
OC - Oceania 21
Continente sconosciuto - Info sul continente non disponibili 1
Totale 10.107
Nazione #
US - Stati Uniti d'America 4.013
SG - Singapore 1.289
CN - Cina 1.179
IT - Italia 615
BR - Brasile 383
VN - Vietnam 299
DE - Germania 226
FR - Francia 197
IE - Irlanda 184
KR - Corea 128
FI - Finlandia 120
SE - Svezia 116
GB - Regno Unito 110
IN - India 96
HK - Hong Kong 95
JP - Giappone 90
CA - Canada 77
NL - Olanda 56
ES - Italia 46
PL - Polonia 44
TR - Turchia 41
ID - Indonesia 38
UA - Ucraina 38
AR - Argentina 37
RU - Federazione Russa 36
GR - Grecia 32
MX - Messico 30
BE - Belgio 29
BD - Bangladesh 28
IQ - Iraq 27
AT - Austria 24
AU - Australia 19
LT - Lituania 16
TW - Taiwan 16
UZ - Uzbekistan 16
CL - Cile 15
CO - Colombia 14
PT - Portogallo 14
EC - Ecuador 12
CH - Svizzera 11
ZA - Sudafrica 11
CZ - Repubblica Ceca 9
IR - Iran 9
PK - Pakistan 9
MA - Marocco 8
RO - Romania 7
SA - Arabia Saudita 7
IL - Israele 6
KE - Kenya 6
OM - Oman 6
VE - Venezuela 6
AE - Emirati Arabi Uniti 5
AL - Albania 5
CR - Costa Rica 5
KW - Kuwait 5
KZ - Kazakistan 5
LK - Sri Lanka 5
NO - Norvegia 5
NP - Nepal 5
PH - Filippine 5
TN - Tunisia 5
AZ - Azerbaigian 4
ET - Etiopia 4
JO - Giordania 4
MY - Malesia 4
PA - Panama 4
TH - Thailandia 4
UY - Uruguay 4
CY - Cipro 3
DO - Repubblica Dominicana 3
HN - Honduras 3
HR - Croazia 3
LB - Libano 3
AO - Angola 2
BH - Bahrain 2
BW - Botswana 2
BY - Bielorussia 2
CI - Costa d'Avorio 2
DK - Danimarca 2
DZ - Algeria 2
EE - Estonia 2
EG - Egitto 2
JM - Giamaica 2
LV - Lettonia 2
MO - Macao, regione amministrativa speciale della Cina 2
MT - Malta 2
PY - Paraguay 2
QA - Qatar 2
SK - Slovacchia (Repubblica Slovacca) 2
SY - Repubblica araba siriana 2
TT - Trinidad e Tobago 2
AM - Armenia 1
AN - Antille olandesi 1
BG - Bulgaria 1
BM - Bermuda 1
BO - Bolivia 1
BT - Bhutan 1
BZ - Belize 1
CM - Camerun 1
DM - Dominica 1
Totale 10.078
Città #
Singapore 737
San Jose 465
Chandler 359
Santa Clara 359
Shenzhen 342
Ashburn 316
Beijing 268
Dublin 181
Houston 162
Fairfield 118
Seoul 112
Los Angeles 104
Hefei 103
Ho Chi Minh City 85
Munich 84
Lauterbourg 83
Turin 83
The Dalles 82
Torino 82
Hong Kong 75
Wilmington 74
Nyköping 71
Tokyo 68
Columbus 67
Woodbridge 64
Ann Arbor 61
Hanoi 57
Seattle 55
Medford 53
New York 50
Boardman 49
Milan 49
Buffalo 45
Princeton 44
Villeurbanne 43
Cambridge 42
Dallas 42
Bengaluru 41
Redwood City 41
Helsinki 40
Dearborn 36
Shanghai 34
São Paulo 34
Warsaw 34
Turku 31
Pisa 28
Council Bluffs 27
Bari 26
Jakarta 26
London 26
Orem 25
Boston 24
Brussels 24
Dong Ket 24
Montreal 22
Rome 20
Da Nang 19
Frankfurt am Main 18
Jacksonville 18
Guangzhou 17
Hangzhou 17
Redondo Beach 17
Fremont 16
Istanbul 16
Zhengzhou 16
Atlanta 15
Chengdu 15
Chicago 15
Nuremberg 15
Chennai 14
Düsseldorf 14
Haiphong 14
Nanjing 14
Moscow 13
Recife 13
Rio de Janeiro 13
Lappeenranta 12
Phoenix 12
San Diego 12
Toronto 12
Vienna 12
Barcelona 11
Brooklyn 11
Hamburg 11
Heraklion 11
Mexico City 11
Poplar 11
Amsterdam 10
Hebei 10
Jinan 10
Naples 10
Stockholm 10
Baghdad 9
Denver 9
Linköping 9
Norwalk 9
Ottawa 9
Wuhan 9
Athens 8
Belo Horizonte 8
Totale 6.252
Nome #
Texture features on T2-weighted magnetic resonance imaging: New potential biomarkers for prostate cancer aggressiveness 503
Automatic detection of prostate cancer by computer-aided multiparametric magnetic resonance imaging 453
A fully automatic computer aided diagnosis system for peripheral zone prostate cancer detection using multi-parametric magnetic resonance imaging 376
Detection of prostate cancer index lesions with multiparametric magnetic resonance imaging (mp-MRI) using whole-mount histological sections as the reference standard 365
A new algorithm for automatic vascular mapping of DCE-MRI of the breast: Clinical application of a potential new biomarker 362
Predicting locally advanced rectal cancer response to neoadjuvant therapy with 18 F-FDG PET and MRI radiomics features 331
Performance of a fully automatic lesion detection system for breast DCE-MRI 232
Big data in oncologic imaging 222
A fully automatic multiscale 3-dimensional hessian-based algorithm for vessel detection in breast DCE-MRI 217
Nipple-sparing mastectomy: external validation of a three-dimensional automated method to predict nipple occult tumour involvement on preoperative breast MRI 158
A Fully Automatic Artificial Intelligence System Able to Detect and Characterize Prostate Cancer Using Multiparametric MRI: Multicenter and Multi-Scanner Validation 158
A 3D voxel neighborhood classification approach within a multiparametric MRI classifier for prostate cancer detection 157
Data and System Traceability for Transparent AI in Medical Imaging 152
A cloud-based computer-aided detection system improves identification of lung nodules on computed tomography scans of patients with extra-thoracic malignancies 151
A CAD system for prostate cancer detection on MRI 144
Radiomics and Magnetic Resonance Imaging of Rectal Cancer: From Engineering to Clinical Practice 142
A mutation-based radiomics signature predicts response to imatinib in Gastrointestinal Stromal Tumors (GIST) 139
Development and validation of an AI-based pathomics biomarker to predict response to first-line treatment in metastatic colorectal cancers 138
Deep learning to segment liver metastases on CT images: Impact on a radiomics method to predict response to chemotherapy 137
MRI-based radiomics to predict response in locally advanced rectal cancer: comparison of manual and automatic segmentation on external validation in a multicentre study 136
COMPUTER AIDED DIAGNOSIS FOR PROSTATE CANCER DETECTION IN THE PERIPHERAL ZONE BY MRI 136
ChiMerge discretization method: Impact on a computer aided diagnosis system for prostate cancer in MRI 133
Normalization strategies in multi-center radiomics abdominal MRI: systematic review and meta-analyses 130
A CAD system based on multi-parametric analysis for cancer prostate detection on DCE-MRI 126
Computer-aided diagnosis improves the detection of clinically significant prostate cancer on multiparametric-mri: A multi-observer performance study involving inexperienced readers 117
Liver metastases: The role of magnetic resonance imaging 113
Machine Learning CT-Based Automatic Nodal Segmentation and PET Semi-Quantification of Intraoperative 68Ga-PSMA-11 PET/CT Images in High-Risk Prostate Cancer: A Pilot Study 112
223P Artificial intelligence-based pathomics biomarker predict primary resistance to first-line treatment in metastatic colorectal cancers 110
Registration, lesion detection, and discrimination for breast dynamic contrast-enhanced magnetic resonance imaging 109
A computer-aided diagnosis (CAD) scheme for pretreatment prediction of pathological response to neoadjuvant therapy using dynamic contrast-enhanced MRI texture features 109
Radiomics predicts response of individual HER2-amplified colorectal cancer liver metastases in patients treated with HER2-targeted therapy 107
Standardization of CT radiomics features for multi-center analysis: Impact of software settings and parameters 107
A prostate CAD system based on multiparametric analysis of DCE T1-w, and DW automatically registered images 105
Impact of inter-reader contouring variability on textural radiomics of colorectal liver metastases 104
A Convolutional Neural Network based system for Colorectal cancer segmentation on MRI images 103
A novel and fully automated registration method for prostate cancer detection using multiparametric magnetic resonance imaging 102
A prostate cancer computer aided diagnosis software including malignancy tumor probabilistic classification 101
A fully automatic lesion detection method for DCE-MRI fat-suppressed breast images 101
Correlation based Feature Selection impact on the classification of breast cancer patients response to neoadjuvant chemotherapy 98
Computer-aided diagnosis of prostate cancer using multi-parametric MRI: Comparison between PUN and Tofts models 95
MRI to predict nipple-areola complex (NAC) involvement: An automatic method to compute the 3D distance between the NAC and tumor 93
Computer-Aided Diagnosis of Prostate Magnetic Resonance Imaging From Bench to Bedside 93
A Fully Automatic Algorithm for Segmentation of the Breasts in DCE-MR Images 88
Diagnostic Accuracy of Single-plane Biparametric and Multiparametric Magnetic Resonance Imaging in Prostate Cancer: A Randomized Noninferiority Trial in Biopsy-naïve Men 86
Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI 86
Bag-of-Words Algorithm to Predict Response to Treatment in Gist Tumors Using CT Scans 84
Optimizing radiomics for prostate cancer diagnosis: feature selection strategies, machine learning classifiers, and MRI sequences 83
Artificial intelligence in oncologic imaging 83
Radiomics in colorectal cancer patients 83
Dataset homogeneity assessment for a prostate cancer CAD system 82
Development and validation of a clinical decision support system based on PSA, microRNAs, and MRI for the detection of prostate cancer 80
METhodological RadiomICs Score (METRICS): a quality scoring tool for radiomics research endorsed by EuSoMII 80
Multiparametric CAD system for MR prostate cancer detection 79
Delta-Radiomics Predicts Response to First-Line Oxaliplatin-Based Chemotherapy in Colorectal Cancer Patients with Liver Metastases 79
A fully automatic deep learning algorithm to segment rectal Cancer on MR images: a multi-center study 78
A Fully Automatic Multi-Vendor AI-System To Segment And Predict Resistance To Treatment Of Rectal Cancer On MRI 78
AI trustworthiness in prostate cancer imaging: a look at algorithmic and system transparency 77
Effective reduction of unnecessary biopsies through a deep-learning-assisted aggressive prostate cancer detector 74
Development and Validation of an Explainable Radiomics Model to Predict High-Aggressive Prostate Cancer: A Multicenter Radiomics Study Based on Biparametric MRI 74
Un nuovo marker di aggressività per il carcinoma prostatico basato sull’intensità di segnale delle immagini di risonanza magnetica T2-pesate 74
An innovative radiomics approach to predict response to chemotherapy of liver metastases based on CT images 74
Radiomics and liver: Where we are and where we are headed? 73
Comparison of Machine and Deep Learning models for automatic segmentation of prostate cancers on multiparametric MRI 72
Virtual biopsy in prostate cancer: can machine learning distinguish low and high aggressive tumors on MRI? 71
Virtual biopsy in abdominal pathology: where do we stand? 70
CT texture analysis to predict response to target therapy of hepatic metastases from colorectal cancer 69
Specificity improvement of a CAD system for multiparametric MR prostate cancer using texture features and artificial neural networks 69
Computer-aided diagnosis for dynamic contrast-enhanced breast MRI of mass-like lesions using a multiparametric model combining a selection of morphological, kinetic, and spatiotemporal features 68
MR-T2-weighted signal intensity: a new imaging biomarker of prostate cancer aggressiveness 68
Comparison of Histogram-based Textural Features between Cancerous and Normal Prostatic Tissue in Multiparametric Magnetic Resonance Images 68
Deep learning model for automatic prostate segmentation on bicentric T2w images with and without endorectal coil 67
Multiparametric magnetic resonance imaging of the prostate with computer-aided detection: experienced observer performance study 67
Could normalization improve robustness of abdominal MRI radiomic features? 65
Radiomics features on CT scans to predict response to HER2-targeted therapy of hepatic metastases from colorectal cancer 65
Rectal Cancer Segmentation: A Methodical Approach for Generalizable Deep Learning in a Multi‐Center Setting 65
Radiological Wheeler staging system: a retrospective cohort analysis to improve the local staging of prostate cancer with multiparametric MRI 65
A Deep Learning model to segment liver metastases on CT images acquired at different time-points during chemotherapy 63
Developers-Doctor-patients: the artificial intelligence’s trifecta 62
Radiomics to predict response to neoadjuvant chemotherapy in rectal cancer: Influence of simultaneous feature selection and classifier optimization 59
MR-T2-weighted signal intensity: A new imaging marker of prostate cancer aggressiveness 59
Impact of network parameters on a U-Net based system for rectal cancer segmentation on MR images 58
Reply to Anwar R. Padhani, Ivo G. Schoots, Jelle O. Barentsz. Fast Magnetic Resonance Imaging as a Viable Method for Directing the Prostate Cancer Diagnostic Pathway. Eur Urol Oncol 2021;4:863-5: Fast-MRI Feasibility in Biopsy-na{\"i}ve Patients: Clarifications on the Study Methods and Results 56
Comparison between different approaches for the creation of the training set: how clustering and dimensionality impact the performance of a Deep Learning model 55
How do norms and noise impact clustering results? A robustness analysis applied to digital pathology 52
MultiTrans: Multi-branch transformer network for medical image segmentation 36
Integration of Deep Learning and Active Shape Models for More Accurate Prostate Segmentation in 3D MR Images 34
Radiomics for pretreatment prediction of pathological response to neoadjuvant therapy using magnetic resonance imaging: Influence of feature selection 33
Texture features and artificial neural networks: A way to improve the specificity of a CAD system for multiparametric MR prostate cancer 31
Stain normalization matters: impact on feature relevance and classifier performance in mCRC therapy response prediction 30
Exploring the complexities of radiomics: an in-depth analysis of a machine learning pipeline for predicting rectal cancer therapy response using MRI 28
AI-Driven Pathomics for Predicting Chemotherapy Response in Metastatic Colorectal Cancer: A Transfer Learning Approach with Attention-Based Multiple Instance Learning 27
Deep radiomics 22
Totale 10.326
Categoria #
all - tutte 33.403
article - articoli 0
book - libri 0
conference - conferenze 11.736
curatela - curatele 0
other - altro 0
patent - brevetti 0
selected - selezionate 0
volume - volumi 0
Totale 45.139


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2020/202160 0 0 0 0 0 0 0 0 0 0 0 60
2021/2022516 26 22 25 31 36 28 25 19 22 15 148 119
2022/2023981 96 96 42 99 74 206 74 46 115 47 44 42
2023/2024843 55 88 373 42 28 48 32 26 5 29 40 77
2024/20252.096 21 105 103 119 399 193 87 95 204 122 244 404
2025/20264.176 459 297 253 580 522 174 528 215 420 445 200 83
Totale 10.326