Low-Cost Motion-Tracking for Computational Psychometrics Based on Virtual Reality. - Pietro Cipresso; Silvia Serino; Irene Alice Chicchi Giglioli; Igor Giuliano; Davide Borra; Andrea Farina; Giuseppe Riva 001 (AVR, 2014)

Digital Panorama. - Davide Borra (DigitalHERITAGE (1), 2015)

Mind the red thread! 3D metaphors for cultural heritage visualization. - Rossana Damiano; Vincenzo Lombardo; Antonio Lieto; Davide Borra (Digital Heritage, 2015)

Exploring cultural heritage repositories with creative intelligence. The Labyrinth 3D system. - Rossana Damiano; Vincenzo Lombardo; Antonio Lieto; Davide Borra (Entertain. Comput., 2016)

The Use of IMMUs in a Water Environment: Instrument Validation and Application of 3D Multi-Body Kinematic Analysis in Medicine and Sport. - Anna Lisa Mangia; Matteo Cortesi; Silvia Fantozzi; Andrea Giovanardi; Davide Borra; Giorgio Gatta (Sensors, 2017)

A Semantic-Wise Convolutional Neural Network Approach for 3-D Left Atrium Segmentation from Late Gadolinium Enhanced Magnetic Resonance Imaging. - Davide Borra; Alessandro Masci 002; Lorena Esposito; Alice Andalò; Claudio Fabbri; Cristiana Corsi (STACOM@MICCAI, 2018)

An Automated Approach Based on a Convolutional Neural Network for Left Atrium Segmentation From Late Gadolinium Enhanced Magnetic Resonance Imaging. - Davide Borra; Claudio Fabbri; Alessandro Masci 002; Lorena Esposito; Alice Andalò; Cristiana Corsi (CinC, 2019)

On the Application of Convolutional Neural Networks for 12-lead ECG Multi-label Classification Using Datasets From Multiple Centers. - Davide Borra; Alice Andalò; Stefano Severi; Cristiana Corsi (CinC, 2020)

Performance Comparison of Deep Learning Approaches for Left Atrium Segmentation From LGE-MRI Data. - Davide Borra; Daniela Portas; Alice Andalò; Claudio Fabbri; Cristiana Corsi (CinC, 2020)

A Global Benchmark of Algorithms for Segmenting Late Gadolinium-Enhanced Cardiac Magnetic Resonance Imaging. - Zhaohan Xiong; Qing Xia 002; Zhiqiang Hu; Ning Huang; Cheng Bian; Yefeng Zheng 001; Sulaiman Vesal; Nishant Ravikumar; Andreas K. Maier; Xin Yang 009; Pheng-Ann Heng; Dong Ni 001; et al. (CoRR, 2020)

Interpretable and lightweight convolutional neural network for EEG decoding: Application to movement execution and imagination. - Davide Borra; Silvia Fantozzi; Elisa Magosso (Neural Networks, 2020)

A Bayesian-Optimized Convolutional Neural Network to Decode Reach-to-Grasp from Macaque Dorsomedial Visual Stream. - Davide Borra; Matteo Filippini; Mauro Ursino; Patrizia Fattori; Elisa Magosso (LOD (2), 2022)

Decoding sensorimotor information from superior parietal lobule of macaque via Convolutional Neural Networks. - Matteo Filippini; Davide Borra; Mauro Ursino; Elisa Magosso; Patrizia Fattori (Neural Networks, 2022)

Modulations of Cortical Power and Connectivity in Alpha and Beta Bands during the Preparation of Reaching Movements. - Davide Borra; Silvia Fantozzi; Maria Cristina Bisi; Elisa Magosso (Sensors, 2023)

Decoding movement kinematics from EEG using an interpretable convolutional neural network. - Davide Borra; Valeria Mondini; Elisa Magosso; Gernot R. Müller-Putz (Comput. Biol. Medicine, 2023)

Multi-modal Decoding of Reach-to-Grasping from EEG and EMG via Neural Networks. - Davide Borra; Matteo Fraternali; Mirco Ravanelli; Elisa Magosso (ANNPR, 2024)

Explaining Network Decision Provides Insights on the Causal Interaction Between Brain Regions in a Motor Imagery Task. - Davide Borra; Mirco Ravanelli (ANNPR, 2024)

Explainability of fMRI Decoding Models Can Unveil Insights into Neural Mechanisms Related to Emotions. - Daniel Agostinho; Davide Borra; Miguel Castelo-Branco; Marco Simões (EPIA (2), 2024)

EEG Features Learned by Convolutional Neural Networks Reflect Alterations of Social Stimuli Processing in Autism. - Davide Borra; Stefano Diciotti; Elisa Magosso (ICANN (4), 2024)

A Compact Convolutional Neural Network for Decoding EEG Functional Connectivity: Application to Motor Imagery. - Davide Borra; Stefano Diciotti; Elisa Magosso (LOD (3), 2024)

Combining EEG Oscillation Analysis and Explainable Artificial Intelligence for Characterizing Visuospatial Attention. - Elisa Magosso; Paolo Bruno; Davide Borra (LOD (3), 2024)

Convolutional neural networks reveal properties of reach-to-grasp encoding in posterior parietal cortex. - Davide Borra; Matteo Filippini; Mauro Ursino; Patrizia Fattori; Elisa Magosso (Comput. Biol. Medicine, 2024)

SpeechBrain-MOABB: An open-source Python library for benchmarking deep neural networks applied to EEG signals. - Davide Borra; Francesco Paissan; Mirco Ravanelli (Comput. Biol. Medicine, 2024)

Open-Source Conversational AI with SpeechBrain 1.0. - Mirco Ravanelli; Titouan Parcollet; Adel Moumen; Sylvain de Langen; Cem Subakan; Peter Plantinga; Yingzhi Wang 002; Pooneh Mousavi; Luca Della Libera; Artem Ploujnikov; Francesco Paissan; Davide Borra; et al. (CoRR, 2024)

The strength of anticipated distractors shapes EEG alpha and theta oscillations in a Working Memory task. - Elisa Magosso; Davide Borra (NeuroImage, 2024)

Interpretable and Explainable AI Reveals EEG Signatures of Intervention in Minimally Conscious State Patients. - Davide Borra; Matteo Fraternali; Valentina Bonsangue; Susanna Lavezzi; Sofia Straudi; Elisa Magosso (AIME (2), 2025)

A protocol for trustworthy EEG decoding with neural networks. - Davide Borra; Elisa Magosso; Mirco Ravanelli (Neural Networks, 2025)