User profiles for Albert Comelli
Albert ComelliSenior Scientist in Biomedical Image Processing and Analysis at Fondazione Ri.MED Verified email at fondazionerimed.com Cited by 1360 |
[HTML][HTML] Deep learning-based methods for prostate segmentation in magnetic resonance imaging
Featured Application The study demonstrates that high-speed deep learning networks could
perform accurate prostate delineation facilitating the adoption of novel imaging parameters, …
perform accurate prostate delineation facilitating the adoption of novel imaging parameters, …
Deep learning whole‐gland and zonal prostate segmentation on a public MRI dataset
Background Prostate volume, as determined by magnetic resonance imaging (MRI), is a
useful biomarker both for distinguishing between benign and malignant pathology and can be …
useful biomarker both for distinguishing between benign and malignant pathology and can be …
PI-RADS 3 lesions: role of prostate MRI texture analysis in the identification of prostate cancer
…, R Cannella, F Vernuccio, A Comelli… - Current problems in …, 2021 - Elsevier
… Author links open overlay panel Dario Giambelluca MD a 1 , Roberto Cannella MD a 1 ,
Federica Vernuccio MD a b c d , Albert Comelli e f g , Alice Pavone MD a , Leonardo Salvaggio …
Federica Vernuccio MD a b c d , Albert Comelli e f g , Alice Pavone MD a , Leonardo Salvaggio …
[HTML][HTML] A preliminary PET radiomics study of brain metastases using a fully automatic segmentation method
Background Positron Emission Tomography (PET) is increasingly utilized in radiomics
studies for treatment evaluation purposes. Nevertheless, lesion volume identification in PET …
studies for treatment evaluation purposes. Nevertheless, lesion volume identification in PET …
Radiomics analysis of 18F-Choline PET/CT in the prediction of disease outcome in high-risk prostate cancer: An explorative study on machine learning feature …
Objective The aim of this study was (1) to investigate the application of texture analysis of
choline PET/CT images in prostate cancer (PCa) patients and (2) to propose a machine-…
choline PET/CT images in prostate cancer (PCa) patients and (2) to propose a machine-…
[HTML][HTML] Radiomics and prostate MRI: current role and future applications
G Cutaia, G La Tona, A Comelli, F Vernuccio… - Journal of …, 2021 - mdpi.com
Multiparametric prostate magnetic resonance imaging (mpMRI) is widely used as a triage test
for men at a risk of prostate cancer. However, the traditional role of mpMRI was confined to …
for men at a risk of prostate cancer. However, the traditional role of mpMRI was confined to …
A smart and operator independent system to delineate tumours in Positron Emission Tomography scans
Positron Emission Tomography (PET) imaging has an enormous potential to improve radiation
therapy treatment planning offering complementary functional information with respect to …
therapy treatment planning offering complementary functional information with respect to …
Choline PET/CT features to predict survival outcome in high-risk prostate cancer restaging: a preliminary machine-learning radiomics study.
Background Radiomic features are increasingly utilized to evaluate tumor heterogeneity in
PET imaging but to date its role has not been investigated for Cho-PET in prostate cancer. …
PET imaging but to date its role has not been investigated for Cho-PET in prostate cancer. …
[HTML][HTML] matRadiomics: a novel and complete radiomics framework, from image visualization to predictive model
Radiomics aims to support clinical decisions through its workflow, which is divided into: (i)
target identification and segmentation, (ii) feature extraction, (iii) feature selection, and (iv) …
target identification and segmentation, (ii) feature extraction, (iii) feature selection, and (iv) …
[HTML][HTML] Customized efficient neural network for COVID-19 infected region identification in CT images
Background: In the field of biomedical imaging, radiomics is a promising approach that aims
to provide quantitative features from images. It is highly dependent on accurate identification …
to provide quantitative features from images. It is highly dependent on accurate identification …