ATZORI, MANFREDO
ATZORI, MANFREDO
Dipartimento di Neuroscienze - DNS
A DETERMINISTIC AND DUCTILE SEGMENTATION ALGORITHM FOR MORPHOLOGIC MRI AND CTA IMAGES AND QUANTITATIVE ANALYSIS OF DYNAMIC SUSCEPTIBILITY-CONTRAST MAGNETIC RESONANCE IMAGING DATA
2010 Atzori, Manfredo
A large calibrated database of hand movements and grasps kinematics
2020 Jarque-Bou, N. J.; Atzori, M.; Muller, H.
A MULTI-TASK MULTIPLE INSTANCE LEARNING ALGORITHM TO ANALYZE LARGE WHOLE SLIDE IMAGES FROM BRIGHT CHALLENGE 2022
2022 Marini, N; Wodzinski, M; 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 augmented reality environment to provide visual feedback to amputees during sEMG data acquisitions
2019 Palermo, F.; Cognolato, M.; Eggel, I.; 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.
Analysis of histopathology images: From traditional machine learning to deep learning
2017 Jimenez-Del-Toro, O.; Otalora, S.; Andersson, M.; Euren, K.; Hedlund, M.; Rousson, M.; Muller, H.; Atzori, M.
Analyzing the trade-off between training session time and performance in myoelectric hand gesture recognition during upper limb movement
2019 Cognolato, M.; Brigato, L.; Cid, Y. D.; Atzori, M.; Muller, H.
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
Building the Ninapro database: A resource for the biorobotics community
2012 Atzori, M.; Gijsberts, A.; Heynen, S.; Hager, A. -G. M.; Deriaz, O.; Van Der Smagt, P.; Castellini, C.; Caputo, B.; Muller, H.
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.
Classification of hand movements in amputated subjects by sEMG and accelerometers
2014 Atzori, M.; Gijsberts, A.; Muller, H.; Caputo, B.
Classification of Noisy Free-Text Prostate Cancer Pathology Reports Using Natural Language Processing
2021 Dhrangadhariya, A.; Otalora, S.; Atzori, M.; Muller, H.
Combining unsupervised feature learning and riesz wavelets for histopathology image representation: Application to identifying anaplastic medulloblastoma
2015 Otalora, S.; Cruz-Roa, A.; Arevalo, J.; Atzori, M.; Madabhushi, A.; Judkins, A. R.; Gonzalez, F.; Muller, H.; Depeursinge, A.
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.
Convolutional neural networks for an automatic classification of prostate tissue slides with high-grade Gleason score
2017 Jimenez-Del-Toro, O.; Atzori, M.; Otalora, S.; Andersson, M.; Euren, K.; Hedlund, M.; Ronnquist, P.; 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.