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
A systematic comparison of deep learning methods for Gleason grading and scoring
2024 Dominguez-Morales, J. P.; Duran-Lopez, L.; Marini, N.; Vicente-Diaz, S.; Linares-Barranco, A.; Atzori, M.; Muller, H.
An Overview of Open Source Deep Learning-Based Libraries for Neuroscience
2023 Tshimanga, L. F.; Del Pup, F.; Corbetta, M.; Atzori, M.
Applications of Self-Supervised Learning to Biomedical Signals: A Survey
2023 Pup, F. D.; 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
BIDSAlign: a library for automatic merging and preprocessing of multiple EEG repositories
2024 Zanola, A.; Del Pup, F.; Porcaro, C.; Atzori, M.
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.
Enhanced EMG Based Hand Gesture Classification in Real-World Scenarios: Mitigating Dynamic Factors With Tempo-Spatial Wavelet Transform and Deep Learning
2024 Rani, P.; Pancholi, S.; Shaw, V.; Atzori, M.; Kumar, S.
Enhancing Gesture Classification Using Active EMG Band and Advanced Feature Extraction Technique
2024 Rani, Parul; Pancholi, Sidharth; Shaw, Vikash; Atzori, Manfredo; Kumar, Sanjeev
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
Functional Synergies Applied to a Publicly Available Dataset of Hand Grasps Show Evidence of Kinematic-Muscular Synergistic Control
2023 Scano, A.; Jarque-Bou, N.; Brambilla, C.; Atzori, M.; D'Avella, A.; Muller, H.