Bayesian Filtered Generation of Post-surgical Brain Connectomes on Tumor Patients. - Joan Falcó-Roget; Alessandro Crimi (ISGIE/GRAIL@MICCAI, 2022)

Emergent Computations in Trained Artificial Neural Networks and Real Brains. - Néstor Parga; Luis Serrano-Fernández; Joan Falcó-Roget (CoRR, 2022)

Impact of the Pre-processing and Balancing of EEG Data on the Performance of Graph Neural Network for Epileptic Seizure Classification. - Szymon Mazurek; Rosmary Blanco; Joan Falcó-Roget; Jan K. Argasinski; Alessandro Crimi (ICAISC (2), 2023)

Disrupting scientific podcasts. Prototype and blueprints for an ergodic neuroscientific talk. - Jan K. Argasinski; Katarzyna Baliga-Nicholson; Anna Partyka; Kamil Pilch; Joan Falcó-Roget (HT, 2024)

Explainable Graph Neural Networks for EEG Classification and Seizure Detection in Epileptic Patients. - Szymon Mazurek; Rosmary Blanco; Joan Falcó-Roget; Alessandro Crimi (ISBI, 2024)

End-to-end Stroke imaging analysis, using reservoir computing-based effective connectivity, and interpretable Artificial intelligence. - Wojciech Ciezobka; Joan Falcó-Roget; Cemal Koba; Alessandro Crimi (CoRR, 2024)

Modularity maximization and community detection in complex networks through recursive and hierarchical annealing in the D-Wave Advantage quantum processing units. - Joan Falcó-Roget; Kacper Jurek; Barbara Wojtarowicz; Karol Capala; Katarzyna Rycerz (CoRR, 2024)

End-to-End Stroke Imaging Analysis Using Effective Connectivity and Interpretable Artificial Intelligence. - Wojciech Ciezobka; Joan Falcó-Roget; Cemal Koba; Alessandro Crimi (IEEE Access, 2025)