|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
|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
|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
|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
|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
|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
|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
|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
|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
|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
|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
|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
|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), 1-16, 2012
|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), 1-14, 2019
|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
|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, 198, 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
|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), 1-17, 2019
|Deep learning-based retrieval system for gigapixel histopathology cases and the open access literature|
R Schaer, S Otálora, O Jimenez-del-Toro, M Atzori, H Müller
Journal of pathology informatics 10 (1), 19, 2019
|Combining unsupervised feature learning and riesz wavelets for histopathology image representation: application to identifying anaplastic medulloblastoma|
S Otálora, A Cruz-Roa, J Arevalo, M Atzori, A Madabhushi, AR Judkins, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2015