User profiles for Albert Comelli

Albert Comelli

Senior 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

A Comelli, N Dahiya, A Stefano, F Vernuccio… - Applied Sciences, 2021 - mdpi.com
Featured Application The study demonstrates that high-speed deep learning networks could
perform accurate prostate delineation facilitating the adoption of novel imaging parameters, …

Deep learning whole‐gland and zonal prostate segmentation on a public MRI dataset

R Cuocolo, A Comelli, A Stefano… - Journal of Magnetic …, 2021 - Wiley Online Library
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 …

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 …

[HTML][HTML] A preliminary PET radiomics study of brain metastases using a fully automatic segmentation method

A Stefano, A Comelli, V Bravatà, S Barone… - BMC …, 2020 - Springer
Background Positron Emission Tomography (PET) is increasingly utilized in radiomics
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 …

P Alongi, A Stefano, A Comelli, R Laudicella… - European …, 2021 - Springer
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-…

[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 …

A smart and operator independent system to delineate tumours in Positron Emission Tomography scans

A Comelli, A Stefano, G Russo, MG Sabini… - Computers in Biology …, 2018 - Elsevier
Positron Emission Tomography (PET) imaging has an enormous potential to improve radiation
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.

…, A Stefano, F Caobelli, A Comelli… - The quarterly journal …, 2020 - europepmc.org
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. …

[HTML][HTML] matRadiomics: a novel and complete radiomics framework, from image visualization to predictive model

G Pasini, F Bini, G Russo, A Comelli, F Marinozzi… - Journal of …, 2022 - mdpi.com
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) …

[HTML][HTML] Customized efficient neural network for COVID-19 infected region identification in CT images

A Stefano, A Comelli - Journal of Imaging, 2021 - mdpi.com
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 …