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Akademický článek

Better stopping through cross validation in an iterative ensemble smoother: A perspective from supervised machine learning

Autor: Luo, Xiaodong, Ranazzi, Paulo

Publikováno v: In Geoenergy Science and Engineering December 2024 243

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Deep learning can differentiate IDH-mutant from IDH-wild type GBM

Autor: Pasquini, Luca, Napolitano, Antonio, Tagliente, Emanuela, Dellepiane, Francesco, Lucignani, Martina, Vidiri, Antonello, Ranazzi, Giulio, Stoppacciaro, Antonella, Moltoni, Giulia, Nicolai, Matteo, Romano, Andrea, Di Napoli, Alberto, Bozzao, Alessandro

Background: Distinction of IDH mutant and wildtype GBMs is challenging on MRI, since conventional imaging shows considerable overlap. While few studies employed deep-learning in a mixed low/high grade glioma population, a GBM-specific model is still

Externí odkaz: http://arxiv.org/abs/2102.13205

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Comparison of Machine Learning Classifiers to Predict Patient Survival and Genetics of GBM: Towards a Standardized Model for Clinical Implementation

Autor: Pasquini, Luca, Napolitano, Antonio, Lucignani, Martina, Tagliente, Emanuela, Dellepiane, Francesco, Rossi-Espagnet, Maria Camilla, Ritrovato, Matteo, Vidiri, Antonello, Villani, Veronica, Ranazzi, Giulio, Stoppacciaro, Antonella, Romano, Andrea, Di Napoli, Alberto, Bozzao, Alessandro

Radiomic models have been shown to outperform clinical data for outcome prediction in glioblastoma (GBM). However, clinical implementation is limited by lack of parameters standardization. We aimed to compare nine machine learning classifiers, with d

Externí odkaz: http://arxiv.org/abs/2102.06526

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Akademický článek

The contribution of peroxynitrite generation in HIV replication in human primary macrophages

Autor: Masuelli Laura, Granato Teresa, Pollicita Michela, Ranazzi Alessandro, Muscoli Carolina, Aquaro Stefano, Modesti Andrea, Perno Carlo-Federico, Mollace Vincenzo

Publikováno v: Retrovirology, Vol 4, Iss 1, p 76 (2007)

Abstract Background Monocytes/Macrophages (M/M) play a pivotal role as a source of virus during the whole course of HIV-1 infection. Enhanced oxidative stress is involved in the pathogenesis of HIV-1 infection. HIV-1 regulatory proteins induce a redu

Externí odkaz: https://doaj.org/article/b0e976998d994027a0167e56e0ef5a32

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Akademický článek

Improving pseudo-optimal Kalman-gain localization using the random shuffle method

Autor: Ranazzi, Paulo Henrique, Luo, Xiaodong, Sampaio, Marcio Augusto

Publikováno v: In Journal of Petroleum Science and Engineering August 2022 215 Part A

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Akademický článek

AI and High-Grade Glioma for Diagnosis and Outcome Prediction: Do All Machine Learning Models Perform Equally Well?

Autor: Luca Pasquini, Antonio Napolitano, Martina Lucignani, Emanuela Tagliente, Francesco Dellepiane, Maria Camilla Rossi-Espagnet, Matteo Ritrovato, Antonello Vidiri, Veronica Villani, Giulio Ranazzi, Antonella Stoppacciaro, Andrea Romano, Alberto Di Napoli, Alessandro Bozzao

Publikováno v: Frontiers in Oncology, Vol 11 (2021)

Radiomic models outperform clinical data for outcome prediction in high-grade gliomas (HGG). However, lack of parameter standardization limits clinical applications. Many machine learning (ML) radiomic models employ single classifiers rather than ens

Externí odkaz: https://doaj.org/article/41f565c7ad4b436b98ef650d7c372b72

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