ATZORI, MANFREDO
ATZORI, MANFREDO
Dipartimento di Neuroscienze - DNS
Automatic labels are as effective as manual labels in digital pathology images classification with deep learning
2025 Marini, Niccolo; Marchesin, Stefano; Ferris, Lluis Borras; Püttmann, Simon; Wodzinski, Marek; Fratti, Riccardo; Podareanu, Damian; Caputo, Alessandro; Boytcheva, Svetla; Vatrano, Simona; Fraggetta, Filippo; Nagtegaal, Iris; Silvello, Gianmaria; Atzori, Manfredo; Müller, Henning
Behavioral Clusters and Lesion Distributions in Ischemic Stroke, Based on NIHSS Similarity Network
2025 Tshimanga, L. F.; Zanola, A.; Facchini, S.; Bisogno, A. L.; Pini, L.; Atzori, M.; Corbetta, M.
The More, the Better? Evaluating the Role of EEG Preprocessing for Deep Learning Applications
2025 Del Pup, F.; Zanola, A.; Fabrice Tshimanga, L.; Bertoldo, A.; Atzori, M.
The role of data partitioning on the performance of EEG-based deep learning models in supervised cross-subject analysis: A preliminary study
2025 Del Pup, F.; Zanola, A.; Tshimanga, L. F.; Bertoldo, A.; Finos, L.; Atzori, M.
xEEGNet: towards explainable AI in EEG dementia classification
2025 Zanola, A.; Fabrice Tshimanga, L.; Del Pup, F.; Baiesi, M.; Atzori, M.
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 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.
BIDSAlign: a library for automatic merging and preprocessing of multiple EEG repositories
2024 Zanola, A.; Del Pup, F.; Porcaro, C.; Atzori, M.
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
Explainable AI-Guided Optimization of EMG Channels and Features for Precise Hand Gesture Classification: A SHAP-Based Study
2024 Rani, P.; Pancholi, S.; Shaw, V.; Pandey, S.; Atzori, M.; Kumar, S.
Exploring Publicly Accessible Optical Coherence Tomography Datasets: A Comprehensive Overview
2024 Rozhyna, A.; Somfai, G. M.; Atzori, M.; Debuc, D. C.; Saad, A.; Zoellin, J.; Muller, H.
Improving quality control of whole slide images by explicit artifact augmentation
2024 Jurgas, A.; Wodzinski, M.; D'Amato, M.; van der Laak, J.; Atzori, M.; Muller, H.
Multimodal representations of biomedical knowledge from limited training whole slide images and reports using deep learning
2024 Marini, Niccolò; Marchesin, Stefano; Wodzinski, Marek; Caputo, Alessandro; Podareanu, Damian; Guevara, Bryan Cardenas; Boytcheva, Svetla; Vatrano, Simona; Fraggetta, Filippo; Ciompi, Francesco; Silvello, Gianmaria; Müller, Henning; Atzori, Manfredo
RegWSI: Whole slide image registration using combined deep feature- and intensity-based methods: Winner of the ACROBAT 2023 challenge
2024 Wodzinski, M.; Marini, N.; Atzori, M.; Muller, H.
The ACROBAT 2022 challenge: Automatic registration of breast cancer tissue
2024 Weitz, P.; Valkonen, M.; Solorzano, L.; Carr, C.; Kartasalo, K.; Boissin, C.; Koivukoski, S.; Kuusela, A.; Rasic, D.; Feng, Y.; Pouplier, S. S.; Sharma, A.; Eriksson, K. L.; Robertson, S.; Marzahl, C.; Gatenbee, C. D.; Anderson, A. R. A.; Wodzinski, M.; Jurgas, A.; Marini, N.; Atzori, M.; Muller, H.; Budelmann, D.; Weiss, N.; Heldmann, S.; Lotz, J.; Wolterink, J. M.; De Santi, B.; Patil, A.; Sethi, A.; Kondo, S.; Kasai, S.; Hirasawa, K.; Farrokh, M.; Kumar, N.; Greiner, R.; Latonen, L.; Laenkholm, A. -V.; Hartman, J.; Ruusuvuori, P.; Rantalainen, M.
Toward improving reproducibility in neuroimaging deep learning studies
2024 Del Pup, F.; Atzori, M.
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.
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.