Distinguishing Parkinson's disease from atypical parkinsonian syndromes using PET data and a computer system based on support vector machines and Bayesian networks. - Fermín Segovia; Ignacio Álvarez Illán; Juan Manuel Górriz; Javier Ramírez 001; Axel Rominger; Johannes Levin (Frontiers Comput. Neurosci., 2015)

Hough-CNN: Deep learning for segmentation of deep brain regions in MRI and ultrasound. - Fausto Milletari; Seyed-Ahmad Ahmadi; Christine Kroll; Annika Plate; Verena E. Rozanski; Juliana Maiostre; Johannes Levin; Olaf Dietrich; Birgit Ertl-Wagner; Kai Bötzel; Nassir Navab (Comput. Vis. Image Underst., 2017)

Multivariate Analysis of 18F-DMFP PET Data to Assist the Diagnosis of Parkinsonism. - Fermín Segovia; Juan Manuel Górriz; Javier Ramírez 001; Francisco Jesús Martínez-Murcia; Johannes Levin; Madeleine Schuberth; Matthias Brendel; Axel Rominger; Kai Bötzel; Gaëtan Garraux; Christophe Phillips (Frontiers Neuroinformatics, 2017)

Autosomal dominantly inherited alzheimer disease: Analysis of genetic subgroups by machine learning. - Diego Castillo-Barnes; Li Su 002; Javier Ramírez 001; Diego Salas-Gonzalez; Francisco Jesús Martínez-Murcia; Ignacio A. Illán; Fermín Segovia; Andrés Ortiz 001; Carlos Cruchaga; Martin R. Farlow; Chengjie Xiong; Neil R. Graff-Radford; et al. (Inf. Fusion, 2020)

Resting-State Functional Connectivity Disruption as a Pathological Biomarker in Autosomal Dominant Alzheimer Disease. - Robert X. Smith; Jeremy F. Strain; Aaron Tanenbaum; Anne M. Fagan; Jason Hassenstab; Eric McDade; Suzanne E. Schindler; Brian A. Gordon; Chengjie Xiong; Jasmeer P. Chhatwal; Clifford R. Jack; Celeste Karch; et al. (Brain Connect., 2021)

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)

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)

Identifying latent disease factors differently expressed in patient subgroups using group factor analysis. - Fabio S. Ferreira; John Ashburner; Arabella Bouzigues; Chatrin Suksasilp; Lucy L. Russell; Phoebe H. Foster; Eve Ferry-Bolder; John C. van Swieten; Lize C. Jiskoot; Harro Seelaar; Raquel Sánchez-Valle; Robert Laforce; et al. (CoRR, 2024)

Pragmatic algorithm for visual assessment of 4-Repeat tauopathies in [18F]PI-2620 PET Scans. - Theresa Bauer; Matthias Brendel; Mirlind Zaganjori; Alexander M. Bernhardt; Alexander Jäck; Sophia Stöcklein; Maximilian Scheifele; Johannes Levin; Thilo Van Eimeren; Alexander Drzezga; Osama Sabri; Henryk Barthel; et al. (NeuroImage, 2025)

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)