Deep Learning in current Neuroimaging: a multivariate approach with power and type I error control but arguable generalization ability. - Carmen Jimenez-Mesa; Javier Ramírez 001; John Suckling; Jonathan Vöglein; Johannes Levin; Juan Manuel Górriz; Alzheimer's Disease Neuroimaging Initiative; Dominantly Inherited Alzheimer Network (DIAN) (CoRR, 2021)

Covariance-based vs. correlation-based functional connectivity dissociates healthy aging from Alzheimer disease. - Jeremy F. Strain; Matthew R. Brier; Aaron Tanenbaum; Brian A. Gordon; John E. McCarthy; Aylin Dincer; Daniel S. Marcus; Jasmeer P. Chhatwal; Neill R. Graff-Radford; Gregory S. Day; Christian la Fougère; Richard J. Perrin; et al. (NeuroImage, 2022)

A non-parametric statistical inference framework for Deep Learning in current neuroimaging. - Carmen Jimenez-Mesa; Javier Ramírez 001; John Suckling; Jonathan Vöglein; Johannes Levin; Juan Manuel Górriz (Inf. Fusion, 2023)

Exploratory digital outcome measures of motor sign progression in Parkinson's disease patients treated with prasinezumab. - Kirsten I. Taylor; Florian Lipsmeier; Marzia Antonella Scelsi; Ekaterina Volkova-Volkmar; Daria Rukina; Werner Popp; Stefan Lambrecht; Judith Anzures-Cabrera; David Summers; Markus Abt; Annabelle Monnet; Timothy Kilchenmann; et al. (npj Digit. Medicine, 2025)