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A Novel Benchmarking Approach to Assess the Agreement among Radiomic Tools.
Bettinelli A, Marturano F, Avanzo M, Loi E, Menghi E, Mezzenga E, Pirrone G, Sarnelli A, Strigari L, Strolin S, Paiusco M. Bettinelli A, et al. Among authors: pirrone g. Radiology. 2022 May;303(2):E30. doi: 10.1148/radiol.229008. Radiology. 2022. PMID: 35468022 No abstract available.
A Novel Benchmarking Approach to Assess the Agreement among Radiomic Tools.
Bettinelli A, Marturano F, Avanzo M, Loi E, Menghi E, Mezzenga E, Pirrone G, Sarnelli A, Strigari L, Strolin S, Paiusco M. Bettinelli A, et al. Among authors: pirrone g. Radiology. 2022 Jun;303(3):533-541. doi: 10.1148/radiol.211604. Epub 2022 Mar 1. Radiology. 2022. PMID: 35230182
Radiomics and deep learning in lung cancer.
Avanzo M, Stancanello J, Pirrone G, Sartor G. Avanzo M, et al. Among authors: pirrone g. Strahlenther Onkol. 2020 Oct;196(10):879-887. doi: 10.1007/s00066-020-01625-9. Epub 2020 May 4. Strahlenther Onkol. 2020. PMID: 32367456 Review.
Electron Density and Biologically Effective Dose (BED) Radiomics-Based Machine Learning Models to Predict Late Radiation-Induced Subcutaneous Fibrosis.
Avanzo M, Pirrone G, Vinante L, Caroli A, Stancanello J, Drigo A, Massarut S, Mileto M, Urbani M, Trovo M, El Naqa I, De Paoli A, Sartor G. Avanzo M, et al. Among authors: pirrone g. Front Oncol. 2020 Apr 21;10:490. doi: 10.3389/fonc.2020.00490. eCollection 2020. Front Oncol. 2020. PMID: 32373520 Free PMC article.
Voxel-by-voxel correlation between radiologically radiation induced lung injury and dose after image-guided, intensity modulated radiotherapy for lung tumors.
Avanzo M, Barbiero S, Trovo M, Bissonnette JP, Jena R, Stancanello J, Pirrone G, Matrone F, Minatel E, Cappelletto C, Furlan C, Jaffray DA, Sartor G. Avanzo M, et al. Among authors: pirrone g. Phys Med. 2017 Oct;42:150-156. doi: 10.1016/j.ejmp.2017.09.127. Epub 2017 Sep 23. Phys Med. 2017. PMID: 29173909
63 results