Borra D.; Magosso E., Deep learning-based EEG analysis: investigating P3 ERP components, «JOURNAL OF INTEGRATIVE NEUROSCIENCE», 2021, 20, pp. 791 - 811 [Scientific article]Open Access
Borra D.; Fantozzi S.; Magosso E., A Dual-Branched Convolutional Neural Network for P300 detection and feature interpretation, in: Seventh National Congress of Bioengineering - Proceedings, 2020, pp. 267 - 270 (atti di: VII Congress of the National Group of Bioengineering (GNB), Trieste, 2021) [Contribution to conference proceedings]
Borra D.; Andalo A.; Paci M.; Fabbri C.; Corsi C., A fully automated left atrium segmentation approach from late gadolinium enhanced magnetic resonance imaging based on a convolutional neural network, «QUANTITATIVE IMAGING IN MEDICINE AND SURGERY», 2020, 10, Article number: 50184 , pp. 1894 - 1907 [Scientific article]Open Access
Simoes M.; Borra D.; Santamaria-Vazquez E.; de Arancibia L.; Sanchez-Gonzalez P.; Gomez E.J.; Elena Hernando M.; Oropesa I.; Bittencourt-Villalpando M.; Krzeminski D.; Miladinovic A.; Chatterjee B.; Palaniappan R.; Gupta C.N; Schmid T.; Zhao H.; Amaral C.; Direito B.; Henriques J.; Carvalho P.; Castelo-Branco M., BCIAUT-P300: A Multi-Session and Multi-Subject Benchmark Dataset on Autism for P300-Based Brain-Computer-Interfaces, «FRONTIERS IN NEUROSCIENCE», 2020, 14, Article number: 568104 , pp. 1 - 14 [Scientific article]Open Access
Borra D.; Fantozzi S.; Magosso E., Convolutional Neural Network for a P300 Brain-Computer Interface to Improve Social Attention in Autistic Spectrum Disorder, in: IFMBE Proceedings, Springer, 2020, 76, pp. 1837 - 1843 (atti di: 15th Mediterranean Conference on Medical and Biological Engineering and Computing, MEDICON 2019, Coimbra, Portugal, 26-28 September 2019) [Contribution to conference proceedings]
Borra D.; Fantozzi S.; Magosso E., EEG Motor Execution Decoding via Interpretable Sinc-Convolutional Neural Networks, in: IFMBE Proceedings, Springer, 2020, 76, pp. 1113 - 1122 (atti di: 15th Mediterranean Conference on Medical and Biological Engineering and Computing, MEDICON 2019, Coimbra, Portugal, 26-28 September 2019) [Contribution to conference proceedings]
Fantozzi S.; Cortesi M.; Giovanardi A.; Borra D.; Di Michele R.; Gatta G., Effect of walking speed during gait in water of healthy elderly, «GAIT & POSTURE», 2020, 82, pp. 6 - 13 [Scientific article]Open Access
Borra D.; Fantozzi S.; Magosso E., Interpretable and lightweight convolutional neural network for EEG decoding: Application to movement execution and imagination, «NEURAL NETWORKS», 2020, 129, pp. 55 - 74 [Scientific article]Open Access
Borra D.; Andalo A.; Severi S.; Corsi C., On the Application of Convolutional Neural Networks for 12-lead ECG Multi-label Classification Using Datasets from Multiple Centers, in: Computing in Cardiology, IEEE Computer Society, «COMPUTING IN CARDIOLOGY», 2020, 2020-, pp. 1 - 4 (atti di: 2020 Computing in Cardiology, CinC 2020, ita, 2020) [Contribution to conference proceedings]
Borra D.; Portas D.; Andalo A.; Fabbri C.; Corsi C., Performance Comparison of Deep Learning Approaches for Left Atrium Segmentation from LGE-MRI Data, in: Computing in Cardiology, IEEE Computer Society, «COMPUTING IN CARDIOLOGY», 2020, 2020-, pp. 1 - 4 (atti di: 2020 Computing in Cardiology, CinC 2020, ita, 2020) [Contribution to conference proceedings]
Borra, Davide; Masci, Alessandro; Esposito, Lorena; Andalò, Alice; Fabbri, Claudio; Corsi, Cristiana, A Semantic-Wise Convolutional Neural Network Approach for 3-D Left Atrium Segmentation from Late Gadolinium Enhanced Magnetic Resonance Imaging, in: Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges, «LECTURE NOTES IN ARTIFICIAL INTELLIGENCE», 2019, 11395, pp. 329 - 338 (atti di: MICCAI 2018, Granada, Spain, Granada, Spain, 16 September 2018) [Contribution to conference proceedings]
Borra D.; Fabbri C.; Masci A.; Esposito L.; Andalo A.; Corsi C., An Automated Approach Based on a Convolutional Neural Network for Left Atrium Segmentation from Late Gadolinium Enhanced Magnetic Resonance Imaging, in: Computing in Cardiology, IEEE Computer Society, «COMPUTING IN CARDIOLOGY», 2019, 2019-, pp. 1 - 4 (atti di: 2019 Computing in Cardiology, CinC 2019, sgp, 2019) [Contribution to conference proceedings]
Mangia, Anna Lisa; Cortesi, Matteo; Fantozzi, Silvia; Giovanardi, Andrea; Borra, Davide; Gatta, Giorgio, The Use of IMMUs in a Water Environment: Instrument Validation and Application of 3D Multi-Body Kinematic Analysis in Medicine and Sport, «SENSORS», 2017, 17, Article number: 927 , pp. 1 - 21 [Scientific article]Open Access
Cortesi, Matteo; Giovanardi, Andrea; Fantozzi, Silvia; Borra, Davide; Gatta, Giorgio, Aquatic Therapy after Anterior Cruciate Ligament Surgery: A Case Study on Underwater Gait Analysis Using Inertial and Magnetic Sensors., «INTERNATIONAL JOURNAL OF PHYSICAL THERAPY & REHABILITATION», 2016, 2, Article number: IJPTR-118 , pp. 1 - 6 [Scientific article]
Borra, D.; Cortesi, M.; Giovanardi, A.; Fantozzi, S.; Gatta, G, Gait analysis in acqua con IMMU: valutazione post-operatoria di ricostruzione del tendine rotuleo, «AQA», 2016, 1, pp. 16 - 20 [Scientific article]
