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Manfredo Atzori
Manfredo Atzori
HESSO Valais, University of Padova
Verified email at hevs.ch
Title
Cited by
Cited by
Year
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
9242014
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
6962016
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
4032017
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
3122014
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
3082012
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
2382014
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
2132015
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
1572018
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
1172017
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
992017
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
972017
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
872016
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
822019
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
762019
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
762019
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
672015
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
642021
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
612021
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
602012
A large calibrated database of hand movements and grasps kinematics
NJ Jarque-Bou, M Atzori, H Müller
Scientific data 7 (1), 12, 2020
592020
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Articles 1–20