Simona Bottani

TL;DR: The open-source framework for classification of AD using CNN and T1-weighted MRI is extended and found that more than half of the surveyed papers may have suffered from data leakage and thus reported biased performance.

TL;DR: A framework for reproducible and objective classification experiments in AD using three publicly available datasets (ADNI, AIBL and OASIS) and a modular set of preprocessing pipelines, feature extraction and classification methods, together with an evaluation framework that provide a baseline for benchmarking the different components are proposed.

TL;DR: Clinica is an open-source software platform designed to make clinical neuroscience studies easier and more reproducible, and for researchers to spend less time on data management and processing, and perform reproducible evaluations of their methods.

TL;DR: A systematic review of studies focusing on the automatic prediction of the progression of mild cognitive impairment to Alzheimer's disease (AD) dementia found that using cognitive, fluorodeoxyglucose-positron emission tomography or potentially electroencephalography and magnetoencephalographic variables significantly improved predictive performance, whereas including other modalities did not show a significant effect.