ATZORI, MANFREDO
ATZORI, MANFREDO
Dipartimento di Neuroscienze - DNS
A large calibrated database of hand movements and grasps kinematics
2020 Jarque-Bou, N. J.; Atzori, M.; Muller, H.
A quantitative taxonomy of human hand grasps
2019 Stival, Francesca; Michieletto, Stefano; Cognolato, Matteo; Pagello, Enrico; Müller, Henning; Atzori, Manfredo
An Overview of Open Source Deep Learning-Based Libraries for Neuroscience
2023 Tshimanga, L. F.; Del Pup, F.; Corbetta, M.; Atzori, M.
Automatic classification of canine thoracic radiographs using deep learning.
2021 Banzato, Tommaso; Wodzinski, Marek; Burti, Silvia; LONGHIN OSTI, Valentina; Rossoni, Valentina; Atzori, Manfredo; Zotti, Alessandro
Characterization of a benchmark database for myoelectric movement classification
2015 Atzori, M.; Gijsberts, A.; Kuzborskij, I.; Elsig, S.; Mittaz Hager, A. -G.; Deriaz, O.; Castellini, C.; Muller, H.; Caputo, B.
Combining weakly and strongly supervised learning improves strong supervision in Gleason pattern classification
2021 Otalora, S.; Marini, N.; Muller, H.; Atzori, M.
Comparison of six electromyography acquisition setups on hand movement classification tasks
2017 Pizzolato, Stefano; Tagliapietra, Luca; Cognolato, Matteo; Reggiani, Monica; Müller, Henning; Atzori, Manfredo
Control capabilities of myoelectric robotic prostheses by hand amputees: A scientific research and market overview
2015 Atzori, M.; Muller, H.
Data-driven color augmentation for H&E stained images in computational pathology
2023 Marini, N.; Otalora, S.; Wodzinski, M.; Tomassini, S.; Dragoni, A. F.; Marchand-Maillet, S.; Morales, J. P. D.; Duran-Lopez, L.; Vatrano, S.; Muller, H.; Atzori, M.
Deep learning with convolutional neural networks applied to electromyography data: A resource for the classification of movements for prosthetic hands
2016 Atzori, M.; Cognolato, M.; Muller, H.
Deep learning-based retrieval system for gigapixel histopathology cases and the open access literature
2019 Schaer, R.; Otalora, S.; Jimenez-Del-Toro, O.; Atzori, M.; Muller, H.
Development of a deep convolutional neural network to predict grading of canine meningiomas from magnetic resonance images
2018 Banzato, Tommaso; Cherubini Giunio, Bruto; Atzori, Manfredo; Zotti, Alessandro
Empowering digital pathology applications through explainable knowledge extraction tools
2022 Marchesin, S.; Giachelle, F.; Marini, N.; Atzori, M.; Boytcheva, S.; Buttafuoco, G.; Ciompi, F.; Di Nunzio, G. M.; Fraggetta, F.; Irrera, O.; Muller, H.; Primov, T.; Vatrano, S.; Silvello, G.
Evaluation of Methods for the Extraction of Spatial Muscle Synergies
2022 Zhao, Kunkun; Wen, Haiying; Zhang, Zhisheng; Atzori, Manfredo; Müller, Henning; Xie, Zhongqu; Scano, Alessandro
Gaze, behavioral, and clinical data for phantom limbs after hand amputation from 15 amputees and 29 controls
2020 Saetta, G; Cognolato, M; Atzori, M; Faccio, D; Giacomino, K; Mittaz Hager, Ag; Tiengo, C; Bassetto, F; Müller, H; Brugger, P.
Gaze, visual, myoelectric, and inertial data of grasps for intelligent prosthetics
2020 Cognolato, Matteo; Gijsberts, Arjan; Gregori, Valentina; Saetta, Gianluca; Giacomino, Katia; Mittaz Hager, Anne-Gabrielle; Gigli, Andrea; Faccio, Diego; Tiengo, Cesare; Bassetto, Franco; Caputo, Barbara; Brugger, Peter; Atzori, Manfredo; Müller, Henning
Improving Robotic Hand Prosthesis Control With Eye Tracking and Computer Vision: A Multimodal Approach Based on the Visuomotor Behavior of Grasping
2021 Cognolato, Matteo; Atzori, Manfredo; Gassert, Roger; Müller, Henning
Improving the classification of veterinary thoracic radiographs through inter-species and inter-pathology self-supervised pre-training of deep learning models.
2023 Celniac, W.; Wodzinsky, M.; Jurgas, A.; Burti, S.; Zotti, A.; Atzori, M.; Muller, H.; Banzato, T.
Increased fronto-temporal perfusion in bipolar disorder
2008 Agarwal, N.; Bellani, M.; Perlini, C.; Rambaldelli, G.; Atzori, M.; Cerini, R.; Vecchiato, F.; Pozzi Mucelli, R.; Andreone, N.; Balestrieri, M.; Tansella, M.; Brambilla, P.
Kinematic synergies of hand grasps: A comprehensive study on a large publicly available dataset
2019 Jarque-Bou, N. J.; Scano, A.; Atzori, M.; Muller, H.