Davide Borra
Orcid: 0000-0003-3791-8555
According to our database1,
Davide Borra
authored at least 24 papers
between 2014 and 2025.
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Bibliography
2025
2024
The strength of anticipated distractors shapes EEG alpha and theta oscillations in a Working Memory task.
NeuroImage, 2024
SpeechBrain-MOABB: An open-source Python library for benchmarking deep neural networks applied to EEG signals.
Comput. Biol. Medicine, 2024
Convolutional neural networks reveal properties of reach-to-grasp encoding in posterior parietal cortex.
Comput. Biol. Medicine, 2024
EEG Features Learned by Convolutional Neural Networks Reflect Alterations of Social Stimuli Processing in Autism.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024
Explainability of fMRI Decoding Models Can Unveil Insights into Neural Mechanisms Related to Emotions.
Proceedings of the Progress in Artificial Intelligence, 2024
Explaining Network Decision Provides Insights on the Causal Interaction Between Brain Regions in a Motor Imagery Task.
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2024
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2024
2023
Decoding movement kinematics from EEG using an interpretable convolutional neural network.
Comput. Biol. Medicine, October, 2023
Modulations of Cortical Power and Connectivity in Alpha and Beta Bands during the Preparation of Reaching Movements.
Sensors, April, 2023
2022
Decoding sensorimotor information from superior parietal lobule of macaque via Convolutional Neural Networks.
Neural Networks, 2022
A Bayesian-Optimized Convolutional Neural Network to Decode Reach-to-Grasp from Macaque Dorsomedial Visual Stream.
Proceedings of the Machine Learning, Optimization, and Data Science, 2022
2020
Interpretable and lightweight convolutional neural network for EEG decoding: Application to movement execution and imagination.
Neural Networks, 2020
A Global Benchmark of Algorithms for Segmenting Late Gadolinium-Enhanced Cardiac Magnetic Resonance Imaging.
CoRR, 2020
Performance Comparison of Deep Learning Approaches for Left Atrium Segmentation From LGE-MRI Data.
Proceedings of the Computing in Cardiology, 2020
On the Application of Convolutional Neural Networks for 12-lead ECG Multi-label Classification Using Datasets From Multiple Centers.
Proceedings of the Computing in Cardiology, 2020
2019
An Automated Approach Based on a Convolutional Neural Network for Left Atrium Segmentation From Late Gadolinium Enhanced Magnetic Resonance Imaging.
Proceedings of the 46th Computing in Cardiology, 2019
2018
A Semantic-Wise Convolutional Neural Network Approach for 3-D Left Atrium Segmentation from Late Gadolinium Enhanced Magnetic Resonance Imaging.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges, 2018
2017
The Use of IMMUs in a Water Environment: Instrument Validation and Application of 3D Multi-Body Kinematic Analysis in Medicine and Sport.
Sensors, 2017
2016
Exploring cultural heritage repositories with creative intelligence. The Labyrinth 3D system.
Entertain. Comput., 2016
2015
Proceedings of the 2nd Digital Heritage International Congress, 2015
Proceedings of the 2nd Digital Heritage International Congress, 2015
2014
Proceedings of the Augmented and Virtual Reality - First International Conference, 2014