Interlenghi M - Search Results

1

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.

2

A Method for Manufacturing Oncological Phantoms for the Quantification of 18F-FDG PET and DW-MRI Studies.

Gallivanone F, Carne I, Interlenghi M, D'Ambrosio D, Baldi M, Fantinato D, Castiglioni I. Gallivanone F, et al. Among authors: interlenghi m. Contrast Media Mol Imaging. 2017 Sep 7;2017:3461684. doi: 10.1155/2017/3461684. eCollection 2017. Contrast Media Mol Imaging. 2017. PMID: 29097916 Free PMC article.

3

Parameters Influencing PET Imaging Features: A Phantom Study with Irregular and Heterogeneous Synthetic Lesions.

Gallivanone F, Interlenghi M, D'Ambrosio D, Trifirò G, Castiglioni I. Gallivanone F, et al. Among authors: interlenghi m. Contrast Media Mol Imaging. 2018 Sep 10;2018:5324517. doi: 10.1155/2018/5324517. eCollection 2018. Contrast Media Mol Imaging. 2018. PMID: 30275800 Free PMC article.

4

AI-based applications in hybrid imaging: how to build smart and truly multi-parametric decision models for radiomics.

Castiglioni I, Gallivanone F, Soda P, Avanzo M, Stancanello J, Aiello M, Interlenghi M, Salvatore M. Castiglioni I, et al. Among authors: interlenghi m. Eur J Nucl Med Mol Imaging. 2019 Dec;46(13):2673-2699. doi: 10.1007/s00259-019-04414-4. Epub 2019 Jul 11. Eur J Nucl Med Mol Imaging. 2019. PMID: 31292700 Review.

5

The Adoption of Radiomics and machine learning improves the diagnostic processes of women with Ovarian MAsses (the AROMA pilot study).

Chiappa V, Bogani G, Interlenghi M, Salvatore C, Bertolina F, Sarpietro G, Signorelli M, Castiglioni I, Raspagliesi F. Chiappa V, et al. Among authors: interlenghi m. J Ultrasound. 2021 Dec;24(4):429-437. doi: 10.1007/s40477-020-00503-5. Epub 2020 Jul 21. J Ultrasound. 2021. PMID: 32696414 Free PMC article.

6

Comparison of Transfer Learning and Conventional Machine Learning Applied to Structural Brain MRI for the Early Diagnosis and Prognosis of Alzheimer's Disease.

Nanni L, Interlenghi M, Brahnam S, Salvatore C, Papa S, Nemni R, Castiglioni I; Alzheimer's Disease Neuroimaging Initiative. Nanni L, et al. Among authors: interlenghi m. Front Neurol. 2020 Nov 5;11:576194. doi: 10.3389/fneur.2020.576194. eCollection 2020. Front Neurol. 2020. PMID: 33250847 Free PMC article.

7

Machine learning applied on chest x-ray can aid in the diagnosis of COVID-19: a first experience from Lombardy, Italy.

Castiglioni I, Ippolito D, Interlenghi M, Monti CB, Salvatore C, Schiaffino S, Polidori A, Gandola D, Messa C, Sardanelli F. Castiglioni I, et al. Among authors: interlenghi m. Eur Radiol Exp. 2021 Feb 2;5(1):7. doi: 10.1186/s41747-020-00203-z. Eur Radiol Exp. 2021. PMID: 33527198 Free PMC article.

8

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.

9

Artificial Intelligence Applied to Chest X-ray for Differential Diagnosis of COVID-19 Pneumonia.

Salvatore C, Interlenghi M, Monti CB, Ippolito D, Capra D, Cozzi A, Schiaffino S, Polidori A, Gandola D, Alì M, Castiglioni I, Messa C, Sardanelli F. Salvatore C, et al. Among authors: interlenghi m. Diagnostics (Basel). 2021 Mar 16;11(3):530. doi: 10.3390/diagnostics11030530. Diagnostics (Basel). 2021. PMID: 33809625 Free PMC article.

10

Advanced Imaging Analysis in Prostate MRI: Building a Radiomic Signature to Predict Tumor Aggressiveness.

Damascelli A, Gallivanone F, Cristel G, Cava C, Interlenghi M, Esposito A, Brembilla G, Briganti A, Montorsi F, Castiglioni I, De Cobelli F. Damascelli A, et al. Among authors: interlenghi m. Diagnostics (Basel). 2021 Mar 26;11(4):594. doi: 10.3390/diagnostics11040594. Diagnostics (Basel). 2021. PMID: 33810222 Free PMC article.

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