Altini, Nicola
 Distribuzione geografica
Continente #
EU - Europa 118
AS - Asia 14
NA - Nord America 9
SA - Sud America 1
Totale 142
Nazione #
IT - Italia 71
IE - Irlanda 23
VN - Vietnam 14
FR - Francia 12
US - Stati Uniti d'America 9
PL - Polonia 6
DE - Germania 5
BR - Brasile 1
GB - Regno Unito 1
Totale 142
Città #
Bari 39
Dublin 23
Dong Ket 11
Altamura 7
Malden 6
Warsaw 6
Bremen 3
Hanoi 3
Ashburn 2
Martina Franca 2
Matera 2
Palo del Colle 2
Taranto 2
Apricena 1
Barletta 1
Cassano d'Adda 1
Columbus 1
Genoa 1
Mazara del Vallo 1
Paris 1
Ruvo di Puglia 1
San Severo 1
Triggiano 1
Totale 118
Nome #
Computational imaging for precision medicine: the emergence of radiomics, pathomics and deep learning, file b899faf7-816d-4cea-9927-5affb181f650 30
Intelligent Neonatal Sepsis Early Diagnosis System for Very Low Birth Weight Infants, file dd89f8a6-7fef-ccdd-e053-6605fe0a1b87 25
Semantic Segmentation Framework for Glomeruli Detection and Classification in Kidney Histological Sections, file dd89f8a5-ebdd-ccdd-e053-6605fe0a1b87 18
A Deep Learning Instance Segmentation Approach for Global Glomerulosclerosis Assessment in Donor Kidney Biopsies, file dd89f8a6-3895-ccdd-e053-6605fe0a1b87 18
Predictive Machine Learning Models and Survival Analysis for COVID-19 Prognosis Based on Hematochemical Parameters, file dd89f8a7-16c2-ccdd-e053-6605fe0a1b87 13
Lung Segmentation and Characterization in COVID-19 Patients for Assessing Pulmonary Thromboembolism: An Approach Based on Deep Learning and Radiomics, file dd89f8a7-184c-ccdd-e053-6605fe0a1b87 11
A Tversky Loss-Based Convolutional Neural Network for Liver Vessels Segmentation, file dd89f8a6-35e0-ccdd-e053-6605fe0a1b87 6
Tumor Cellularity Assessment of Breast Histopathological Slides via Instance Segmentation and Pathomic Features Explainability, file ca728c3c-9437-4422-ab17-2e9f6c126a44 5
Segmentation and Identification of Vertebrae in CT Scans Using CNN, k-Means Clustering and k-NN, file dd89f8a7-19b5-ccdd-e053-6605fe0a1b87 5
A Novel Approach Based on Region Growing Algorithm for Liver and Spleen Segmentation from CT Scans, file dd89f8a6-5627-ccdd-e053-6605fe0a1b87 2
Liver, Kidney and Spleen Segmentation from CT scans and MRI with Deep Learning: A Survey, file dd89f8a7-037b-ccdd-e053-6605fe0a1b87 2
A Machine Learning and Radiomics Approach in Lung Cancer for Predicting Histological Subtype, file 07eb08f8-c56e-4d9f-b6d8-5f3af56aff0b 1
NDG-CAM: Nuclei Detection in Histopathology Images with Semantic Segmentation Networks and Grad-CAM, file 800d129a-5079-4278-b1ee-7bbf4b044f50 1
Combining autoencoder and artificial neural network for classifying colorectal cancer stages, file 8274e3bc-ceaf-46d2-8576-5615b1cb0217 1
Shape-Based Breast Lesion Classification Using Digital Tomosynthesis Images: The Role of Explainable Artificial Intelligence, file b7a7c9cf-5394-426d-b9f4-7625739521dc 1
Focal Dice Loss-Based V-Net for Liver Segments Classification, file dd89f8a7-1504-ccdd-e053-6605fe0a1b87 1
Multi-class Tissue Classification in Colorectal Cancer with Handcrafted and Deep Features, file dd89f8a7-19b7-ccdd-e053-6605fe0a1b87 1
A Fusion Biopsy Framework for Prostate Cancer Based on Deformable Superellipses and nnU-Net, file ed58b5c0-ed74-4789-876e-25e3f0a42187 1
Totale 142
Categoria #
all - tutte 297
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 297


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2019/20203 0 0 0 0 0 0 0 0 1 2 0 0
2020/202124 1 0 0 0 1 2 1 4 4 0 0 11
2021/202221 0 3 4 1 5 2 0 0 0 0 0 6
2022/202365 4 7 2 0 3 5 7 3 26 2 4 2
2023/202429 0 2 10 2 0 1 6 5 2 0 1 0
Totale 142