PANIC, JOVANA
 Distribuzione geografica
Continente #
NA - Nord America 399
EU - Europa 362
AS - Asia 61
SA - Sud America 1
Totale 823
Nazione #
US - Stati Uniti d'America 379
IT - Italia 140
GB - Regno Unito 90
DE - Germania 46
BE - Belgio 22
IE - Irlanda 22
CN - Cina 21
CA - Canada 20
CH - Svizzera 13
JO - Giordania 11
HK - Hong Kong 9
BG - Bulgaria 6
FR - Francia 6
MY - Malesia 6
NL - Olanda 5
IN - India 4
JP - Giappone 3
SE - Svezia 3
RO - Romania 2
SA - Arabia Saudita 2
SG - Singapore 2
UA - Ucraina 2
AT - Austria 1
BA - Bosnia-Erzegovina 1
CZ - Repubblica Ceca 1
ES - Italia 1
KR - Corea 1
MD - Moldavia 1
PE - Perù 1
PK - Pakistan 1
TR - Turchia 1
Totale 823
Città #
Chandler 69
Southend 54
Houston 47
Turin 43
Council Bluffs 38
Ashburn 35
Mcallen 32
Princeton 29
Milan 23
Brussels 22
Dublin 21
Montréal 16
Torino 16
Berlin 15
Beijing 14
Munich 14
Redmond 14
Bern 13
Ann Arbor 12
Rome 8
Bremen 6
Sofia 6
Boardman 5
Woodbridge 5
Catania 4
Luni 4
Menlo Park 4
Toronto 4
Andover 3
Bottanuco 3
Wilmington 3
Albugnano 2
Amsterdam 2
Beinasco 2
Cuneo 2
Eluru 2
Falls Church 2
Fremont 2
Galati 2
Gizzeria 2
Leawood 2
Medina 2
Nanjing 2
Nijmegen 2
Ningbo 2
Paris 2
Portici 2
Shenzhen 2
Suita 2
Bad Muenstereifel 1
Barcelona 1
Basking Ridge 1
Boydton 1
Brembate 1
Brescia 1
Cagliari 1
Cambridge 1
Canelli 1
Canzo 1
Chisinau 1
Fairfield 1
Hamburg 1
Henderson 1
Hornell 1
Islamabad 1
Kuala Lumpur 1
Laurel 1
Lima 1
Los Angeles 1
Monmouth Junction 1
Mumbai 1
Norwalk 1
Novara 1
Nuremberg 1
Palermo 1
Salerno 1
San Giuliano Milanese 1
San Mateo 1
Sant'ambrogio Di Torino 1
Santa Clara 1
Seattle 1
Seoul 1
Srpska 1
Umeda 1
Valparaiso 1
Varese 1
Vienna 1
Vinnytsia 1
Totale 657
Nome #
An innovative radiomics approach to predict response to chemotherapy of liver metastases based on CT images 147
Deep learning model for automatic prostate segmentation on bicentric T2w images with and without endorectal coil 97
Comparison of radiomics approaches to predict resistance to 1st line chemotherapy in liver metastatic colorectal cancer 95
A Convolutional Neural Network based system for Colorectal cancer segmentation on MRI images 88
Deep learning to segment liver metastases on CT images: Impact on a radiomics method to predict response to chemotherapy 85
A fully automatic deep learning algorithm to segment Rectal Cancer on MR images: a multi-center study 77
Comparison of different classifiers to recognize active bone marrow from CT images 61
Impact of network parameters on a U-Net based system for rectal cancer segmentation on MR images 60
Normalization strategies in multi-center radiomics abdominal MRI: systematic review and meta-analyses 40
A Deep Learning model to segment liver metastases on CT images acquired at different time-points during chemotherapy 34
Radiomics and Magnetic Resonance Imaging of Rectal Cancer: From Engineering to Clinical Practice 29
Virtual biopsy in abdominal pathology: where do we stand? 23
MRI-based radiomics to predict response in locally advanced rectal cancer: comparison of manual and automatic segmentation on external validation in a multicentre study 21
How to Design, Implement, and Validate MRI-based Artificial Intelligence Systems for Oncological applications 20
Could normalization improve robustness of abdominal MRI radiomic features? 19
Totale 896
Categoria #
all - tutte 2.844
article - articoli 773
book - libri 0
conference - conferenze 2.030
curatela - curatele 0
other - altro 0
patent - brevetti 0
selected - selezionate 0
volume - volumi 0
Totale 5.647


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2020/2021150 0 0 30 15 22 34 20 1 16 1 7 4
2021/2022264 8 5 3 7 3 7 8 73 20 38 55 37
2022/2023307 36 39 7 42 30 43 13 11 30 6 33 17
2023/2024175 7 35 25 11 18 27 14 3 12 9 14 0
Totale 896