| Electromyography data for non-invasive naturally-controlled robotic hand prostheses M Atzori, A Gijsberts, C Castellini, B Caputo, AGM Hager, S Elsig, ... Scientific data 1 (1), 1-13, 2014 | 920 | 2014 |
| Deep learning with convolutional neural networks applied to electromyography data: A resource for the classification of movements for prosthetic hands M Atzori, M Cognolato, H Müller Frontiers in neurorobotics 10, 9, 2016 | 689 | 2016 |
| Comparison of six electromyography acquisition setups on hand movement classification tasks S Pizzolato, L Tagliapietra, M Cognolato, M Reggiani, H Müller, M Atzori PloS one 12 (10), e0186132, 2017 | 402 | 2017 |
| Characterization of a Benchmark Database for Myoelectric Movement Classification M Atzori, A Gijsberts, I Kuzborskij, S Heynen, AG Mittaz Hager, O Deriaz, ... IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2014 | 311 | 2014 |
| Building the Ninapro database: A resource for the biorobotics community M Atzori, A Gijsberts, S Heynen, AGM Hager, O Deriaz, P Van Der Smagt, ... 2012 4th IEEE RAS & EMBS International Conference on Biomedical Robotics and …, 2012 | 305 | 2012 |
| Movement error rate for evaluation of machine learning methods for sEMG-based hand movement classification A Gijsberts, M Atzori, C Castellini, H Müller, B Caputo IEEE transactions on neural systems and rehabilitation engineering 22 (4 …, 2014 | 238 | 2014 |
| Control capabilities of myoelectric robotic prostheses by hand amputees: a scientific research and market overview M Atzori, H Müller Frontiers in systems neuroscience 9, 162, 2015 | 213 | 2015 |
| Head-mounted eye gaze tracking devices: An overview of modern devices and recent advances M Cognolato, M Atzori, H Müller Journal of rehabilitation and assistive technologies engineering 5 …, 2018 | 155 | 2018 |
| Repeatability of grasp recognition for robotic hand prosthesis control based on sEMG data F Palermo, M Cognolato, A Gijsberts, H Müller, B Caputo, M Atzori 2017 International Conference on Rehabilitation Robotics (ICORR), 1154-1159, 2017 | 116 | 2017 |
| Convolutional neural networks for an automatic classification of prostate tissue slides with high-grade Gleason score OJ del Toro, M Atzori, S Otálora, M Andersson, K Eurén, M Hedlund, ... Medical Imaging 2017: Digital Pathology 10140, 165-173, 2017 | 100 | 2017 |
| Analysis of histopathology images: From traditional machine learning to deep learning O Jimenez-del-Toro, S Otálora, M Andersson, K Eurén, M Hedlund, ... Biomedical texture analysis, 281-314, 2017 | 93 | 2017 |
| Effect of clinical parameters on the control of myoelectric robotic prosthetic hands. M Atzori, A Gijsberts, C Castellini, B Caputo, AG Mittaz-Hager, S Elsig, ... Journal of Rehabilitation Research & Development (JRRD) 53 (3), 345-358, 2016 | 88 | 2016 |
| Kinematic synergies of hand grasps: a comprehensive study on a large publicly available dataset NJ Jarque-Bou, A Scano, M Atzori, H Müller Journal of neuroengineering and rehabilitation 16, 1-14, 2019 | 82 | 2019 |
| A quantitative taxonomy of human hand grasps F Stival, S Michieletto, M Cognolato, E Pagello, H Müller, M Atzori Journal of neuroengineering and rehabilitation 16, 1-17, 2019 | 76 | 2019 |
| Staining invariant features for improving generalization of deep convolutional neural networks in computational pathology S Otálora, M Atzori, V Andrearczyk, A Khan, H Müller Frontiers in bioengineering and biotechnology 7, 198, 2019 | 76 | 2019 |
| The Ninapro database: a resource for sEMG naturally controlled robotic hand prosthetics M Atzori, H Müller 2015 37th Annual International Conference of the IEEE Engineering in …, 2015 | 66 | 2015 |
| A multi-element psychosocial intervention for early psychosis (GET UP PIANO TRIAL) conducted in a catchment area of 10 million inhabitants: study protocol for a pragmatic … M Ruggeri, C Bonetto, A Lasalvia, G De Girolamo, A Fioritti, P Rucci, ... Trials 13, 1-16, 2012 | 60 | 2012 |
| Semi-supervised training of deep convolutional neural networks with heterogeneous data and few local annotations: An experiment on prostate histopathology image classification N Marini, S Otálora, H Müller, M Atzori Medical image analysis 73, 102165, 2021 | 59 | 2021 |
| Automatic classification of canine thoracic radiographs using deep learning T Banzato, M Wodzinski, S Burti, VL Osti, V Rossoni, M Atzori, A Zotti Scientific Reports 11 (1), 3964, 2021 | 59 | 2021 |
| Classification of hand movements in amputated subjects by sEMG and accelerometers M Atzori, A Gijsberts, H Müller, B Caputo Annual International Conference of the IEEE Engineering in Medicine and …, 2014 | 59 | 2014 |