Automatic analysis (aa): efficient neuroimaging workflows and parallel processing using Matlab and XML. - Rhodri Cusack; Alejandro Vicente-Grabovetsky; Daniel J. Mitchell; Conor James Wild; Tibor Auer; Annika C. Linke; Jonathan E. Peelle (Frontiers Neuroinformatics, 2014)

Predicting Cognitive Recovery of Stroke Patients from the Structural MRI Connectome Using a Naïve Bayesian Tree Classifier. - Rosalía Dacosta-Aguayo; Christian Stephan-Otto; Tibor Auer; Inmaculada Clemente; Antoni Davalos; Núria Bargalló; Maria Mataró; Manousos A. Klados (CBMS, 2017)

The Cambridge Centre for Ageing and Neuroscience (Cam-CAN) data repository: Structural and functional MRI, MEG, and cognitive data from a cross-sectional adult lifespan sample. - Jason R. Taylor; Nitin Williams; Rhodri Cusack; Tibor Auer; Meredith A. Shafto; Marie Dixon; Lorraine K. Tyler; Cam-CAN Group; Richard N. Henson (NeuroImage, 2017)

BIDS apps: Improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods. - Krzysztof J. Gorgolewski; Fidel Alfaro-Almagro; Tibor Auer; Pierre Bellec; Mihai Capota; M. Mallar Chakravarty; Nathan William Churchill; Alexander Li Cohen; R. Cameron Craddock; Gabriel A. Devenyi; Anders Eklund 002; Oscar Esteban; et al. (PLoS Comput. Biol., 2017)

Predicting Body Mass Index From Structural MRI Brain Images Using a Deep Convolutional Neural Network. - Pál Vakli; Regina J. Deák-Meszlényi; Tibor Auer; Zoltán Vidnyánszky (Frontiers Neuroinformatics, 2020)

Predictors of real-time fMRI neurofeedback performance and improvement - A machine learning mega-analysis. - Amelie Haugg; Fabian M. Renz; Andrew A. Nicholson; Cindy Lor; Sebastian J. Götzendorfer; Ronald Sladky; Stavros Skouras; Amalia McDonald; R. Cameron Craddock; Lydia Hellrung; Matthias Kirschner; Marcus Herdener; et al. (NeuroImage, 2021)

Real-time and Recursive Estimators for Functional MRI Quality Assessment. - Nikita Davydov; Lucas Peek; Tibor Auer; Evgeny Prilepin; Nicolas Gninenko; Dimitri Van De Ville; Artem V. Nikonorov; Yury Koush (Neuroinformatics, 2022)

bids-specification. - Aaron Oliver-Taylor; Adam Li; Adam G. Thomas; Adeen Flinker; Adina S. Wagner; Agah Karakuzu; Aki Nikolaidis; Alberto Lazari; Alejandro de la Vega; Alessio Giacomel; Alexander Rockhill; Alexander Jones; et al. (Zenodo, 2023)

The Brain Imaging Data Structure (BIDS) Specification. - Aaron Oliver-Taylor; Adam Li; Adam G. Thomas; Adeen Flinker; Adina S. Wagner; Agah Karakuzu; Aki Nikolaidis; Alberto Lazari; Alejandro de la Vega; Alessio Giacomel; Alexander Rockhill; Alexander Jones; et al. (Zenodo, 2024)

A large-scale multi-centre study characterising atrophy heterogeneity in Alzheimer's disease. - Vikram Venkatraghavan; Damiano Archetti; Pierrick Bourgeat; Chenyang Jiang; Mara ten Kate; Anna Catharina van Loenhoud; Rik Ossenkoppele; Charlotte E. Teunissen; Elsmarieke van de Giessen; Yolande A. L. Pijnenburg; Giovanni B. Frisoni; Béla Weiss; et al. (NeuroImage, 2025)