Pachetti E - Search Results

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Optimizing radiomics for prostate cancer diagnosis: feature selection strategies, machine learning classifiers, and MRI sequences.

Mylona E, Zaridis DI, Kalantzopoulos CΝ, Tachos NS, Regge D, Papanikolaou N, Tsiknakis M, Marias K; ProCAncer-I Consortium; Fotiadis DI. Mylona E, et al. Insights Imaging. 2024 Nov 4;15(1):265. doi: 10.1186/s13244-024-01783-9. Insights Imaging. 2024. PMID: 39495422 Free PMC article.

A systematic review of few-shot learning in medical imaging.

Pachetti E, Colantonio S. Pachetti E, et al. Artif Intell Med. 2024 Oct;156:102949. doi: 10.1016/j.artmed.2024.102949. Epub 2024 Aug 16. Artif Intell Med. 2024. PMID: 39178621 Free article.

Few-Shot Conditional Learning: Automatic and Reliable Device Classification for Medical Test Equipment.

Pachetti E, Del Corso G, Bardelli S, Colantonio S. Pachetti E, et al. J Imaging. 2024 Jul 13;10(7):167. doi: 10.3390/jimaging10070167. J Imaging. 2024. PMID: 39057738 Free PMC article.

3D-Vision-Transformer Stacking Ensemble for Assessing Prostate Cancer Aggressiveness from T2w Images.

Pachetti E, Colantonio S. Pachetti E, et al. Bioengineering (Basel). 2023 Aug 28;10(9):1015. doi: 10.3390/bioengineering10091015. Bioengineering (Basel). 2023. PMID: 37760117 Free PMC article.

Machine and Deep Learning Prediction Of Prostate Cancer Aggressiveness Using Multiparametric MRI.

Bertelli E, Mercatelli L, Marzi C, Pachetti E, Baccini M, Barucci A, Colantonio S, Gherardini L, Lattavo L, Pascali MA, Agostini S, Miele V. Bertelli E, et al. Among authors: pachetti e. Front Oncol. 2022 Jan 13;11:802964. doi: 10.3389/fonc.2021.802964. eCollection 2021. Front Oncol. 2022. PMID: 35096605 Free PMC article.

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