Deep learning whole‐gland and zonal prostate segmentation on a public MRI dataset R Cuocolo, A Comelli, A Stefano, V Benfante, N Dahiya, A Stanzione, ... Journal of Magnetic Resonance Imaging 54 (2), 452-459, 2021 | 93 | 2021 |
Deep learning-based methods for prostate segmentation in magnetic resonance imaging A Comelli, N Dahiya, A Stefano, F Vernuccio, M Portoghese, G Cutaia, ... Applied Sciences 11 (2), 782, 2021 | 72 | 2021 |
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 classification in
P Alongi, A Stefano, A Comelli, R Laudicella, S Scalisi, G Arnone, ... European Radiology, 1-11, 2021 | 71 | 2021 |
Deep learning approach for the segmentation of aneurysmal ascending aorta A Comelli, N Dahiya, A Stefano, V Benfante, G Gentile, V Agnese, ... Biomedical engineering letters 11, 15-24, 2021 | 56 | 2021 |
A fully automatic approach for multimodal PET and MR image segmentation in gamma knife treatment planning L Rundo, A Stefano, C Militello, G Russo, MG Sabini, C D'Arrigo, ... Computer Methods and Programs in Biomedicine 144, 77-96, 2017 | 53 | 2017 |
Radiomics and prostate MRI: current role and future applications G Cutaia, G La Tona, A Comelli, F Vernuccio, F Agnello, C Gagliardo, ... Journal of imaging 7 (2), 34, 2021 | 52 | 2021 |
A preliminary PET radiomics study of brain metastases using a fully automatic segmentation method A Stefano, A Comelli, V Bravata, S Barone, I Daskalovski, G Savoca, ... BMC Informatics 21 (8), 325-340, 2020 | 47 | 2020 |
PVE correction in PET-CT whole-body oncological studies from PVE-affected images F Gallivanone, A Stefano, E Grosso, C Canevari, L Gianolli, C Messa, ... IEEE Transactions on Nuclear Science 58 (3), 736-747, 2011 | 47 | 2011 |
Recurrent bladder carcinoma: clinical and prognostic role of 18 F-FDG PET/CT P Alongi, F Caobelli, R Gentile, A Stefano, G Russo, D Albano, S Baldari, ... European journal of nuclear medicine and molecular imaging 44, 224-233, 2017 | 44 | 2017 |
Customized efficient neural network for COVID-19 infected region identification in CT images A Stefano, A Comelli Journal of Imaging 7 (8), 131, 2021 | 43 | 2021 |
K-nearest neighbor driving active contours to delineate biological tumor volumes A Comelli, A Stefano, G Russo, S Bignardi, MG Sabini, G Petrucci, ... Engineering Applications of Artificial Intelligence 81, 133-144, 2019 | 42 | 2019 |
Active contour algorithm with discriminant analysis for delineating tumors in positron emission tomography A Comelli, A Stefano, S Bignardi, G Russo, MG Sabini, M Ippolito, ... Artificial intelligence in medicine 94, 67-78, 2019 | 42 | 2019 |
Robustness of pet radiomics features: Impact of co-registration with mri A Stefano, A Leal, S Richiusa, P Trang, A Comelli, V Benfante, ... Applied Sciences 11 (21), 10170, 2021 | 41 | 2021 |
Lung segmentation on high-resolution computerized tomography images using deep learning: a preliminary step for radiomics studies A Comelli, C Coronnello, N Dahiya, V Benfante, S Palmucci, A Basile, ... Journal of Imaging 6 (11), 125, 2020 | 41 | 2020 |
An enhanced random walk algorithm for delineation of head and neck cancers in PET studies A Stefano, S Vitabile, G Russo, M Ippolito, MG Sabini, D Sardina, ... Medical & biological engineering & computing 55, 897-908, 2017 | 41 | 2017 |
Performance of radiomics features in the quantification of idiopathic pulmonary fibrosis from HRCT A Stefano, M Gioè, G Russo, S Palmucci, SE Torrisi, S Bignardi, A Basile, ... Diagnostics 10 (5), 306, 2020 | 40 | 2020 |
Genotyping analysis and 18FDG uptake in breast cancer patients: a preliminary research V Bravatà, A Stefano, FP Cammarata, L Minafra, G Russo, S Nicolosi, ... Journal of Experimental & Clinical Cancer Research 32, 1-9, 2013 | 40 | 2013 |
Development of a new fully three-dimensional methodology for tumours delineation in functional images A Comelli, S Bignardi, A Stefano, G Russo, MG Sabini, M Ippolito, A Yezzi Computers in biology and medicine 120, 103701, 2020 | 39 | 2020 |
Radiomics: a new biomedical workflow to create a predictive model A Comelli, A Stefano, C Coronnello, G Russo, F Vernuccio, R Cannella, ... Annual Conference on Medical Image Understanding and Analysis, 280-293, 2020 | 38 | 2020 |
[68Ga]DOTATOC PET/CT Radiomics to Predict the Response in GEP-NETs Undergoing [177Lu]DOTATOC PRRT: The Theragnomics Concept R Laudicella, A Comelli, V Liberini, A Vento, A Stefano, A Spataro, ... Cancers 14 (4), 984, 2022 | 36 | 2022 |