| A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging Z Xiong, Q Xia, Z Hu, N Huang, C Bian, Y Zheng, S Vesal, N Ravikumar, ... Medical image analysis 67, 101832, 2021 | 291 | 2021 |
| Interpretable and lightweight convolutional neural network for EEG decoding: Application to movement execution and imagination D Borra, S Fantozzi, E Magosso Neural Networks 129, 55-74, 2020 | 98 | 2020 |
| Gait kinematic analysis in water using wearable inertial magnetic sensors S Fantozzi, A Giovanardi, D Borra, G Gatta PLoS One 10 (9), e0138105, 2015 | 53 | 2015 |
| BCIAUT-P300: A multi-session and multi-subject benchmark dataset on autism for P300-based brain-computer-interfaces M Simões, D Borra, E Santamaría-Vázquez, Gbt-Upm, ... Frontiers in Neuroscience 14, 568104, 2020 | 43 | 2020 |
| Convolutional neural network for a P300 brain-computer interface to improve social attention in autistic spectrum disorder D Borra, S Fantozzi, E Magosso Mediterranean Conference on Medical and Biological Engineering and Computing …, 2019 | 37 | 2019 |
| The use of IMMUs in a water environment: Instrument validation and application of 3D multi-body kinematic analysis in medicine and sport AL Mangia, M Cortesi, S Fantozzi, A Giovanardi, D Borra, G Gatta Sensors 17 (4), 927, 2017 | 34 | 2017 |
| EEG motor execution decoding via interpretable sinc-convolutional neural networks D Borra, S Fantozzi, E Magosso Mediterranean Conference on Medical and Biological Engineering and Computing …, 2019 | 27 | 2019 |
| Decoding movement kinematics from EEG using an interpretable convolutional neural network D Borra, V Mondini, E Magosso, GR Müller-Putz Computers in Biology and Medicine 165, 107323, 2023 | 26 | 2023 |
| A Bayesian-optimized design for an interpretable convolutional neural network to decode and analyze the P300 response in autism D Borra, E Magosso, M Castelo-Branco, M Simoes Journal of Neural Engineering 19 (4), 046010, 2022 | 26 | 2022 |
| A lightweight multi-scale convolutional neural network for P300 decoding: analysis of training strategies and uncovering of network decision D Borra, S Fantozzi, E Magosso Frontiers in Human Neuroscience 15, 655840, 2021 | 25 | 2021 |
| A fully automated left atrium segmentation approach from late gadolinium enhanced magnetic resonance imaging based on a convolutional neural network D Borra, A Andalò, M Paci, C Fabbri, C Corsi Quantitative Imaging in Medicine and Surgery 10 (10), 1894, 2020 | 24 | 2020 |
| Deep learning-based EEG analysis: investigating P3 ERP components D Borra, E Magosso Journal of Integrative Neuroscience 20 (4), 791-811, 2021 | 23 | 2021 |
| Deep learning applied to EEG source-data reveals both ventral and dorsal visual stream involvement in holistic processing of social stimuli D Borra, F Bossi, D Rivolta, E Magosso Scientific Reports 13 (1), 7365, 2023 | 19 | 2023 |
| Effect of walking speed during gait in water of healthy elderly S Fantozzi, M Cortesi, A Giovanardi, D Borra, R Di Michele, G Gatta Gait & Posture 82, 6-13, 2020 | 16 | 2020 |
| Decoding sensorimotor information from superior parietal lobule of macaque via Convolutional Neural Networks M Filippini, D Borra, M Ursino, E Magosso, P Fattori Neural Networks 151, 276-294, 2022 | 15 | 2022 |
| A semantic-wise convolutional neural network approach for 3-D left atrium segmentation from late gadolinium enhanced magnetic resonance imaging D Borra, A Masci, L Esposito, A Andalò, C Fabbri, C Corsi Statistical Atlases and Computational Models of the Heart. Atrial …, 2019 | 14 | 2019 |
| Motor decoding from the posterior parietal cortex using deep neural networks D Borra, M Filippini, M Ursino, P Fattori, E Magosso Journal of Neural Engineering 20 (3), 036016, 2023 | 10 | 2023 |
| Modulations of cortical power and connectivity in alpha and beta bands during the preparation of reaching movements D Borra, S Fantozzi, MC Bisi, E Magosso Sensors 23 (7), 3530, 2023 | 9 | 2023 |
| Aquatic therapy after anterior cruciate ligament surgery: A case study on underwater gait analysis using inertial and magnetic sensors M Cortesi, A Giovanardi, S Fantozzi, D Borra, G Gatta Int. J. Phys. Ther. Rehabil 2, 2016 | 9 | 2016 |
| On the application of convolutional neural networks for 12-lead ECG multi-label classification using datasets from multiple centers D Borra, A Andalò, S Severi, C Corsi 2020 Computing in Cardiology, 1-4, 2020 | 8 | 2020 |
