XTENS - an eXTensible Environment for NeuroScience. - Luca Corradi; Gabriele Arnulfo; Andrea Schenone; Ivan Porro; Marco Fato (HealthGrid, 2009)

A repository based on a dynamically extensible data model supporting multidisciplinary research in neuroscience. - Luca Corradi; Ivan Porro; Andrea Schenone; Parastoo Momeni; Raffaele Ferrari; Flavio Nobili; Michela Ferrara; Gabriele Arnulfo; Marco Fato (BMC Medical Informatics Decis. Mak., 2012)

XTENS - A JSON-Based Digital Repository for Biomedical Data Management. - Massimiliano Izzo; Gabriele Arnulfo; Maria Carla Piastra; Valentina Tedone; Luigi Varesio; Marco Massimo Fato (IWBBIO (2), 2015)

Automatic segmentation of deep intracerebral electrodes in computed tomography scans. - Gabriele Arnulfo; Massimo Narizzano; Francesco Cardinale; Marco Fato; Jaakko Palva (BMC Bioinform., 2015)

Phase and amplitude correlations in resting-state activity in human stereotactical EEG recordings. - Gabriele Arnulfo; Jonni Hirvonen; Lino Nobili; Satu Palva; J. Matias Palva (NeuroImage, 2015)

Bistability breaks-off deterministic responses to intracortical stimulation during non-REM sleep. - Andrea Pigorini; Simone Sarasso; Paola Proserpio; Caroline Szymanski; Gabriele Arnulfo; Silvia Casarotto; Matteo Fecchio; Mario Rosanova; Maurizio Mariotti; Giorgio Lo Russo; J. Matias Palva; Lino Nobili; et al. (NeuroImage, 2015)

SEEG assistant: a 3DSlicer extension to support epilepsy surgery. - Massimo Narizzano; Gabriele Arnulfo; Serena Ricci; Benedetta Toselli; Martin Tisdall; Andrea Canessa; Marco Massimo Fato; Francesco Cardinale (BMC Bioinform., 2017)

Retrospective evaluation and SEEG trajectory analysis for interactive multi-trajectory planner assistant. - Davide Scorza; Elena De Momi; Lisa Plaino; Gaetano Amoroso; Gabriele Arnulfo; Massimo Narizzano; Luis Kabongo; Francesco Cardinale (Int. J. Comput. Assist. Radiol. Surg., 2017)

Classification of Epileptic Activity Through Temporal and Spatial Characterization of Intracranial Recordings. - Vanessa D'Amario; Gabriele Arnulfo; Lino Nobili; Annalisa Barla (CIBB, 2018)

Multi-task multiple kernel learning reveals relevant frequency bands for critical areas localization in focal epilepsy. - Vanessa D'Amario; Federico Tomasi; Veronica Tozzo; Gabriele Arnulfo; Annalisa Barla; Lino Nobili (MLHC, 2018)

Comparison of Methods to Identify Modules in Noisy or Incomplete Brain Networks. - Nitin Williams; Gabriele Arnulfo; Sheng H. Wang; Lino Nobili; Satu Palva; J. Matias Palva (Brain Connect., 2019)

Modules in connectomes of phase-synchronization comprise anatomically contiguous, functionally related regions. - Nitin Williams; Sheng H. Wang; Gabriele Arnulfo; Lino Nobili; Satu Palva; J. Matias Palva (NeuroImage, 2023)

Influence of adaptive denoising on Diffusion Kurtosis Imaging at 3T and 7T. - Rosella Trò; Monica Roascio; Gabriele Arnulfo; Domenico Tortora; Maria Savina Severino; Andrea Rossi 008; Antonio Napolitano 002; Marco Massimo Fato (Comput. Methods Programs Biomed., 2023)

The influence of inter-regional delays in generating large-scale brain networks of phase synchronization. - Nitin Williams; A. Ojanperä; Felix Siebenhühner; Benedetta Toselli; Satu Palva; Gabriele Arnulfo; Samuel Kaski; J. Matias Palva (NeuroImage, 2023)

Machine Learning Models Trained in a Low-Dimensional Latent Space for Epileptogenic Zone (EZ) Localization. - Sheng H. Wang; Morgane Marzulli; Gabriele Arnulfo; Lino Nobili; Satu Palva; J. Matias Palva; Philippe Ciuciu (EUSIPCO, 2024)

AI-based modular warning machine for risk identification in proximity healthcare. - Chiara Razzetta; Shahryar Noei; Federico Barbarossa; Edoardo Spairani; Monica Roascio; Elisa Barbi; Giulia Ciacci; Sara Sommariva; Sabrina Guastavino; Michele Piana; Matteo Lenge; Gabriele Arnulfo; et al. (CoRR, 2025)