A large number of papers have introduced novel machine learning and feature extraction
methods for automatic classification of Alzheimer's disease (AD). However, while the vast …

We present Clinica ( www.clinica.run ), an open-source software platform designed to make
clinical neuroscience studies easier and more reproducible. Clinica aims for researchers to (i…

We present the findings of "The Alzheimer's Disease Prediction Of Longitudinal Evolution" (TADPOLE)
Challenge, which compared the performance of 92 algorithms from 33 …

A probabilistic fracture mechanics (PFM) analysis code, PASCAL, has been developed by
Japan Atomic Energy Agency for failure probability and failure frequency evaluation of reactor …

9,10,11,20,21,22-Hexaphenyltetrabenzo[a,c,l,n]pentacene (1) was prepared by the reaction
of 1,3-diphenylphenanthro[9,10-c]furan with the bisaryne equivalent generated from 1,2,4,5-…

This paper introduces a framework for disease prediction from multimodal genetic and
imaging data. We propose a multilevel survival model which allows predicting the time of …

In this paper, we propose a framework for automatic classification of patients from multimodal
genetic and brain imaging data by optimally combining them. Additive models with …

Predicting the future occurrence of Alzheimer’s disease (AD) in patients with mild cognitive
impairment (MCI) is a topic of active research. Many papers have formulated this question as …

… of the PFM analysis code PASCAL was initiated twenty-five years ago in Japan [13]. Owing
to the continuous efforts made by JAEA, the PASCAL code was greatly improved based on …

… For a symmetric positive definite matrix, we can symmetrize A = LU to S = LLT (… at Pascal’s
triangle from four different directions—identities, graphs, recursions, and functions. Pascal …