Altini, Nicola
 Distribuzione geografica
Continente #
EU - Europa 597
NA - Nord America 400
AS - Asia 81
OC - Oceania 3
Totale 1.081
Nazione #
US - Stati Uniti d'America 397
IT - Italia 234
IE - Irlanda 138
HK - Hong Kong 45
PL - Polonia 45
FI - Finlandia 37
NL - Olanda 32
SE - Svezia 31
BG - Bulgaria 26
DE - Germania 26
VN - Vietnam 17
MY - Malesia 9
UA - Ucraina 8
FR - Francia 7
GB - Regno Unito 5
AT - Austria 4
AU - Australia 3
CA - Canada 3
IR - Iran 3
CZ - Repubblica Ceca 2
ID - Indonesia 1
IN - India 1
JP - Giappone 1
KR - Corea 1
RU - Federazione Russa 1
SG - Singapore 1
SI - Slovenia 1
TW - Taiwan 1
UZ - Uzbekistan 1
Totale 1.081
Città #
Dublin 133
Chandler 74
Bari 65
New York 48
Warsaw 45
Hong Kong 44
Helsinki 36
Malden 26
Sofia 26
Brielle 22
Boardman 21
Ashburn 20
Jacksonville 17
Altamura 15
Bremen 15
Lawrence 13
Ogden 12
Dong Ket 11
North Bergen 11
Wilmington 10
Amsterdam 7
Bitonto 7
Triggiano 7
Foggia 6
Hanoi 6
Mazara del Vallo 6
Portland 6
Rome 6
Taranto 6
Martina Franca 5
Massafra 5
Washington 5
Menlo Park 4
Milan 4
Phoenix 4
San Mateo 4
Ann Arbor 3
Barletta 3
Brooklyn 3
Naples 3
Novara 3
Palo del Colle 3
Vienna 3
Cagliari 2
Calgary 2
Canberra 2
Conversano 2
Copertino 2
Ercolano 2
Frankfurt am Main 2
Genoa 2
London 2
Salerno 2
Seattle 2
Turi 2
Turin 2
Udine 2
Apricena 1
Atlanta 1
Barice 1
Berlin 1
Birmingham 1
Bitritto 1
Borgo San Dalmazzo 1
Boydton 1
Cambridge 1
Cassano 1
Cassano d'Adda 1
Ceglie Messapica 1
Central District 1
Chicago 1
Grosseto 1
Houston 1
Innsbruck 1
Islington 1
La Spezia 1
Lappeenranta 1
Latina 1
Les Echets 1
Lincoln 1
Ljubljana 1
Melbourne 1
Minervino Murge 1
Monza 1
Mumbai 1
Ostrava 1
Palma Campania 1
Parma 1
Potenza 1
Redmond 1
Saint Petersburg 1
San Severo 1
Savona 1
Scottsdale 1
Singapore 1
Stockholm 1
Taipei 1
Tashkent 1
Tehran 1
Tokyo 1
Totale 844
Nome #
Semantic Segmentation Framework for Glomeruli Detection and Classification in Kidney Histological Sections 107
A Tversky Loss-Based Convolutional Neural Network for Liver Vessels Segmentation 91
A Deep Learning Instance Segmentation Approach for Global Glomerulosclerosis Assessment in Donor Kidney Biopsies 87
Predictive Machine Learning Models and Survival Analysis for COVID-19 Prognosis Based on Hematochemical Parameters 79
Lung Segmentation and Characterization in COVID-19 Patients for Assessing Pulmonary Thromboembolism: An Approach Based on Deep Learning and Radiomics 78
Computational imaging for precision medicine: the emergence of radiomics, pathomics and deep learning 68
Intelligent Neonatal Sepsis Early Diagnosis System for Very Low Birth Weight Infants 66
Liver, Kidney and Spleen Segmentation from CT scans and MRI with Deep Learning: A Survey 55
A Novel Approach Based on Region Growing Algorithm for Liver and Spleen Segmentation from CT Scans 53
Multi-class Tissue Classification in Colorectal Cancer with Handcrafted and Deep Features 48
Focal Dice Loss-Based V-Net for Liver Segments Classification 48
A Machine Learning and Radiomics Approach in Lung Cancer for Predicting Histological Subtype 45
Segmentation and Identification of Vertebrae in CT Scans Using CNN, k-Means Clustering and k-NN 45
NDG-CAM: Nuclei Detection in Histopathology Images with Semantic Segmentation Networks and Grad-CAM 44
A Fusion Biopsy Framework for Prostate Cancer Based on Deformable Superellipses and nnU-Net 40
Shape-Based Breast Lesion Classification Using Digital Tomosynthesis Images: The Role of Explainable Artificial Intelligence 40
Tumor Cellularity Assessment of Breast Histopathological Slides via Instance Segmentation and Pathomic Features Explainability 28
Combining autoencoder and artificial neural network for classifying colorectal cancer stages 28
SurvIAE: Survival prediction with Interpretable Autoencoders from Diffuse Large B-Cells Lymphoma gene expression data 26
A Decision-tree Approach to Stratify DLBCL Risk Based on Stromal and Immune Microenvironment Determinants 21
The Role of Unpaired Image-to-Image Translation for Stain Color Normalization in Colorectal Cancer Histology Classification 16
An Explainable Radiogenomic Framework to Predict Mutational Status of KRAS and EGFR in Lung Adenocarcinoma Patients 15
Performance and Limitations of a Supervised Deep Learning Approach for the Histopathological Oxford Classification of Glomeruli with IgA Nephropathy 14
Totale 1.142
Categoria #
all - tutte 4.796
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 4.796


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2019/202011 0 0 0 0 0 0 0 0 2 4 3 2
2020/2021124 10 3 3 28 4 8 14 12 15 11 0 16
2021/2022257 2 6 8 42 15 27 4 4 34 29 13 73
2022/2023447 32 31 11 22 31 30 19 21 164 52 25 9
2023/2024303 29 8 43 14 63 93 18 8 21 6 0 0
Totale 1.142