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 full pipeline to analyze lung histopathology images
2024 Ferris, L. B.; Puttmann, S.; Marini, N.; Vatrano, S.; Fragetta, F.; Caputo, A.; Ciompi, F.; Atzori, M.; Muller, H.
A large calibrated database of hand movements and grasps kinematics
2020 Jarque-Bou, N. J.; Atzori, M.; Muller, H.
A Multi-Scale CNN for Transfer Learning in sEMG-Based Hand Gesture Recognition for Prosthetic Devices
2024 Fratti, R.; Marini, N.; Atzori, M.; Müller, H.; Tiengo, C.; Bassetto, F.
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
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 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.
An Overview of Public Retinal Optical Coherence Tomography Datasets: Access, Annotations, and Beyond
2024 Rozhyna, A.; Somfai, G. M.; Atzori, M.; Muller, H.
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.
Applications of Self-Supervised Learning to Biomedical Signals: A Survey
2023 Pup, F. D.; Atzori, M.
Artifact Augmentation for Learning-based Quality Control of Whole Slide Images
2023 Jurgas, A.; Wodzinski, M.; Celniak, W.; Atzori, M.; Muller, H.
Automated classification of celiac disease in histopathological images: a multi-scale approach
2024 Puttmann, S.; Ferris, L. B.; Marini, N.; Aswolinsky, W.; Vatrano, S.; Fragetta, F.; Nagtegaal, I.; van der Post, C.; Ciompi, F.; Atzori, M.; Friedrich, C.; 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
BIDSAlign: a library for automatic merging and preprocessing of multiple EEG repositories
2024 Zanola, A.; Del Pup, F.; Porcaro, C.; Atzori, M.
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.