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Year Number of Results
2017 1
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2021 10
2022 3
2023 3
2024 1

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AI applications to medical images: From machine learning to deep learning.
Castiglioni I, Rundo L, Codari M, Di Leo G, Salvatore C, Interlenghi M, Gallivanone F, Cozzi A, D'Amico NC, Sardanelli F. Castiglioni I, et al. Among authors: interlenghi m. Phys Med. 2021 Mar;83:9-24. doi: 10.1016/j.ejmp.2021.02.006. Epub 2021 Mar 1. Phys Med. 2021. PMID: 33662856 Review.
MRI radiomics-based machine learning for classification of deep-seated lipoma and atypical lipomatous tumor of the extremities.
Gitto S, Interlenghi M, Cuocolo R, Salvatore C, Giannetta V, Badalyan J, Gallazzi E, Spinelli MS, Gallazzi M, Serpi F, Messina C, Albano D, Annovazzi A, Anelli V, Baldi J, Aliprandi A, Armiraglio E, Parafioriti A, Daolio PA, Luzzati A, Biagini R, Castiglioni I, Sconfienza LM. Gitto S, et al. Among authors: interlenghi m. Radiol Med. 2023 Aug;128(8):989-998. doi: 10.1007/s11547-023-01657-y. Epub 2023 Jun 19. Radiol Med. 2023. PMID: 37335422 Free PMC article.
Using Radiomics and Machine Learning Applied to MRI to Predict Response to Neoadjuvant Chemotherapy in Locally Advanced Cervical Cancer.
Chiappa V, Bogani G, Interlenghi M, Vittori Antisari G, Salvatore C, Zanchi L, Ludovisi M, Leone Roberti Maggiore U, Calareso G, Haeusler E, Raspagliesi F, Castiglioni I. Chiappa V, et al. Among authors: interlenghi m. Diagnostics (Basel). 2023 Oct 6;13(19):3139. doi: 10.3390/diagnostics13193139. Diagnostics (Basel). 2023. PMID: 37835882 Free PMC article.
X-rays radiomics-based machine learning classification of atypical cartilaginous tumour and high-grade chondrosarcoma of long bones.
Gitto S, Annovazzi A, Nulle K, Interlenghi M, Salvatore C, Anelli V, Baldi J, Messina C, Albano D, Di Luca F, Armiraglio E, Parafioriti A, Luzzati A, Biagini R, Castiglioni I, Sconfienza LM. Gitto S, et al. Among authors: interlenghi m. EBioMedicine. 2024 Mar;101:105018. doi: 10.1016/j.ebiom.2024.105018. Epub 2024 Feb 19. EBioMedicine. 2024. PMID: 38377797 Free PMC article.
Radiomics and Molecular Classification in Endometrial Cancer (The ROME Study): A Step Forward to a Simplified Precision Medicine.
Bogani G, Chiappa V, Lopez S, Salvatore C, Interlenghi M, D'Oria O, Giannini A, Leone Roberti Maggiore U, Chiarello G, Palladino S, Bascio LS, Castiglioni I, Raspagliesi F. Bogani G, et al. Among authors: interlenghi m. Healthcare (Basel). 2022 Dec 7;10(12):2464. doi: 10.3390/healthcare10122464. Healthcare (Basel). 2022. PMID: 36553988 Free PMC article.
Development and Validation of an AI-driven Mammographic Breast Density Classification Tool Based on Radiologist Consensus.
Magni V, Interlenghi M, Cozzi A, Alì M, Salvatore C, Azzena AA, Capra D, Carriero S, Della Pepa G, Fazzini D, Granata G, Monti CB, Muscogiuri G, Pellegrino G, Schiaffino S, Castiglioni I, Papa S, Sardanelli F. Magni V, et al. Among authors: interlenghi m. Radiol Artif Intell. 2022 Mar 16;4(2):e210199. doi: 10.1148/ryai.210199. eCollection 2022 Mar. Radiol Artif Intell. 2022. PMID: 35391766 Free PMC article.
21 results