Manfredo Atzori - HES SO Valais Publications - Aigaion 2.0

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First name(s):	Manfredo
Last name(s):	Atzori
Institute:	II

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Parul Rani, Sidharth Pancholi, Vikash Shaw, Manfredo Atzori and Sanjeev Kumar, Active Surface Electromyogram (sEMG) Electrodes band with Enhanced Features based technique for Hand Gesture Classification (2023)

Federico Del Pup and Manfredo Atzori, Applications of Self-Supervised Learning to Biomedical Signals: where are we now (2023)

Manfredo Atzori and Henning Müller, Electromyography Low Pass Filtering Effects on the Classification of Hand Movements in Amputated Subjects (2014), 3:2(118-122)

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Gianluca Saetta, Manfredo Atzori, Barbara Caputo, Henning Müller, Bigna Lenggenhagger and Peter Brugger, Bodily obstacles in mental imagery. Specific perspective-dependent effects of the apparent motion perception of an actors’ body parts (2016), in: 12th Symposium of the Zurich Center for Integrative Human Physiology (ZIHP)

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Louis Fabrice Tshimanga, Federico Del Pup, Maurizio Corbetta and Manfredo Atzori, An Overview of Open Source Deep Learning-Based Libraries for Neuroscience (2023), in: Applied Sciences, 13:9(5472)

Alessandro Scano, Cristina Brambilla, Henning Müller and Manfredo Atzori, Mapping of the Upper Limb Work-Space: Benchmarking Four Wrist Smoothness Metrics (2022), in: Applied Sciences, 12:24(12643)

Federico Del Pup, Riccardo Brun, Filippo Iotti, Edoardo Paccagnella, Mattia Pezzato, Sabrina Bertozzo, Andrea Zanola, Louis Fabrice Tshimanga, Henning Müller and Manfredo Atzori, TransformEEG: Towards Improving Model Generalizability in Deep Learning-based EEG Parkinson's Disease Detection (2025), in: arXiv preprint arXiv:2507.07622

Sebastian Otalora, Niccolò Marini, Damian Podareanu, Ruben Hekster, David Tellez, Jeroen van der Laak, Henning Müller and Manfredo Atzori, stainlib: a python library for augmentation and normalization of histopathology H&E images (2022), in: bioArXiv

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Sebastian Otalora, Roger Schaer, Manfredo Atzori, Oscar Jimenez del Toro and Henning Müller, Deep learning based retrieval system for gigapixel histopathology cases and open access literature (2018), in: BioArXiv

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Anna Matsulevits, Pedro Alvez, Manfredo Atzori, Ahmad Beyh, Maurizio Corbetta, Federico Del Pup, Lilit Dulyan, Chris Foulon, Thomas Hope, Stefano Ioannucci and others, A global effort to benchmark predictive models and reveal mechanistic diversity in long-term stroke outcomes (2025), in: bioRxiv(2024--10)

Matteo Cognolato, Manfredo Atzori, Cecilia Marchesini, Stefano Marangon, Diego Faccio, Cesare Tiengo, Franco Bassetto, Roger Gassert, Nicola Petrone and Henning Müller, Multi-functional control and usage of a 3D printed robotic hand prosthesis with the Myo armband by hand amputees (2018), in: BioRxiv

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Sebastian Otalora, Niccolò Marini, Henning Müller and Manfredo Atzori, Combining weak and strong supervised learning improves strong supervision in Gleason pattern classification (2021), in: BMC Medical Imaging

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Marek Wodzinski, Niccolò Marini, Manfredo Atzori and Henning Müller, RegWSI: Whole slide image registration using combined deep feature- and intensity-based methods: Winner of the ACROBAT 2023 challenge (2024), in: Computer Methods and Programs in Biomedicine

[DOI]

Federico Del Pup, Andrea Zanola, Louis Fabrice Tshimanga, Alessandra Bertoldo, Livio Finos and Manfredo Atzori, The role of data partitioning on the performance of EEG-based deep learning models in supervised cross-subject analysis: a preliminary study (2025), in: Computers in Biology and Medicine, 196(110608)

Henning Müller, Manfredo Atzori, Federico Del Pup, Riccardo Brun, Filippo Iotti, Edoardo Paccagnella, Mattia Pezzato, Sabrina Bertozzo, Andrea Zanola and Louis Fabrice Tshimanga, TransformEEG: Towards improving model generalizability in deep learning-based EEG Parkinson’s disease detection (2025), in: Elsevier

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[DOI]

Matteo Cognolato, Manfredo Atzori, Roger Gassert and Henning Müller, Improving Robotic Hand Prosthesis Control With Eye Tracking and Computer Vision: A Multimodal Approach Based on the Visuomotor Behavior of Grasping (2022), in: Frontiers in Artificial Intelligence(199)

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Valentina Gregori, Matteo Cognolato, Gianluca Saetta, Manfredo Atzori, MeganePro consortium and Arjan Gijsberts, On the visiomotor behavior of amputees and able-bodied people during grasping, (2019), in: Frontiers in Bioengienering and Biotechnology

[]: (IF 2017= 5.122)

Sebastian Otalora, Manfredo Atzori, Vincent Andrearczyk, Amjad Khan and Henning Müller, Staining invariant features for improving generalization of deep convolutional neural networks in computational pathology (2019), in: Frontiers in Bioengineering and Biotechnology-Bioinformatics and Computational Biology

[]: (IF 2017= 5.122)

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Niccolò Marini, Sebastian Otalora, Damian Podareanu, Mart van einthoven, Jeroen van der Laak, Francesco Ciompi, Henning Müller and Manfredo Atzori, Multi_Scale_Tools: A Python Library to Exploit Multi-Scale Whole Slide Images (2021), in: Frontiers in Computer Science

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Manfredo Atzori and Henning Müller, Parallel feature extraction tools to speed up feature extraction (2019), in: Frontiers in Neurorobotics

[]: (IF 2017= 3.000)

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Alessandro Scano, Andrea Chiavenna, Lorenzo Molinari Tosatti, Henning Müller and Manfredo Atzori, Muscle Synergy Analysis of a Hand-Grasp Dataset: a limited subset of motor modules may underlie a large variety of grasps (2018), in: Frontiers in Neurorobotics

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Manfredo Atzori, Matteo Cognolato and Henning Müller, Deep learning with convolutional neural networks: a resource for the control of robotic prosthetic hands via electromyography (2016), in: Frontiers in Neurorobotics, 10(9)

[]: IF 2017 = 2.486

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Federico Del Pup and Manfredo Atzori, Toward improving reproducibility in neuroimaging deep learning studies (2024), in: Frontiers in Neuroscience, 18(1509358)

Kunkun Zhao, Zhisheng Zhang, Manfredo Atzori, Henning Müller, Zhongqu Xie and Alessandro Scano, Evaluation of methods for the extraction spatial muscle synergies (2022), in: Frontiers in neuroscience

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Kunkun Zhao, Zhisheng Zhang, Manfredo Atzori, Henning Müller, Zhongqu Xie and Alessandro Scano, Evaluation of methods for the extraction spatial muscle synergies, in: Frontiers in Neuroscience(763)

Manfredo Atzori and Henning Müller, Control Capabilities of Myoelectric Robotic Prostheses by Hand Amputees: A Scientific Research and Market Overview (2015), in: Frontiers in Systems Neuroscience, 9(162-165)

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Federico Del Pup and Manfredo Atzori, Applications of Self-Supervised Learning to Biomedical Signals: a Survey (2023), in: IEEE Access

Alessandro Scano, Néstor J. Jarque-Bou, Cristina Brambilla, Manfredo Atzori, Andrea d'Avella and Henning Müller, Functional Synergies Applied to a Publicly Available Dataset of Hand Grasps Show Evidence of Kinematic-Muscular Synergistic Control (2023), in: IEEE Access, Volume 11(108544 - 108560)

[DOI]

Parul Rani, Sidharth Pancholi, Vikash Shaw, Manfredo Atzori and Sanjeev Kumar, Enhancing Gesture Classification Using Active EMG Band and Advanced Feature Extraction Technique (2023), in: IEEE Sensors Journal

Parul Rani, Sidharth Pancholi, Vikash Shaw, Manfredo Atzori and Sanjeev Kumar, Enhanced EMG-based hand gesture classification in real-world scenarios: Mitigating dynamic factors with tempo-spatial wavelet transform and deep learning (2024), in: IEEE Transactions on Medical Robotics and Bionics, 6:3(1202--1211)

Parul Rani, Sidharth Pancholi, Vikash Shaw, Suraj Pandey, Manfredo Atzori and Sanjeev Kumar, Explainable AI-guided optimization of EMG channels and features for precise hand gesture classification: a SHAP-based study (2024), in: IEEE Transactions on Medical Robotics and Bionics

Arjan Gijsberts, Manfredo Atzori, Claudio Castellini, Henning Müller and Barbara Caputo, Measuring Movement Classification Performance with the Movement Error Rate (2014), in: IEEE Transactions on neural systems and rehabiliation engineering

[]: Impact Factor=3.255

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Federico Del Pup, Andrea Zanola, Louis Fabrice Tshimanga, Alessandra Bertoldo and Manfredo Atzori, The more, the better? Evaluating the role of EEG preprocessing for deep learning applications. (2025), in: IEEE Transactions on Neural Systems and Rehabilitation Engineering

Henning Müller and Manfredo Atzori, Combining object recognition, gaze tracking and electromyography to guide prosthetic hands: experiences from two reserch projects (2019), in: Jedlik Laboratory reports, VII:2

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Nivedita Agarwal, Marcella Bellani, Cinzia Perlini, Gianluca Rambaldelli, Manfredo Atzori, Roberto Cerini, Francesco Vecchiato, Roberto Pozzi Mucelli, Nicola Andreone, Matteo Balestrieri, Michele Tansella and Paolo Brambilla, Increased fronto-temporal perfusion in bipolar disorder (2008), in: Journal of Affective Disorders:110(106-114)

Stefano marchesin, Fabio Giachelle, Niccolò Marini, Manfredo Atzori, Svetla Boytcheva, Genziana Buttafuoco, Francesco Ciompi, Giorgio Maria Di Nunzio, Filippo Fraggetta, Ornella Irrera, Henning Müller, Todor Primov, Simona Valtrano and Gianmaria Silvello, Empowering Digital Pathology Applications through Explainable Knowledge Extraction Tools (2022), in: Journal of Digital Pathology

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Louis Fabrice Tshimanga, Andrea Zanola, Silvia Facchini, Antonio Luigi Bisogno, Lorenzo Pini, Manfredo Atzori and Maurizio Corbetta, Behavioral Clusters and Lesion Distributions in Ischemic Stroke, Based on NIHSS Similarity Network (2025), in: Journal of Healthcare Informatics Research(1--36)

Andrea Zanola, Federico Del Pup, Camillo Porcaro and Manfredo Atzori, BIDSAlign: a library for automatic merging and preprocessing of multiple EEG repositories (2024), in: Journal of Neural Engineering, 21:4(046050)

Néstor J. Jarque-Bou, Alessandro Scano, Manfredo Atzori and Henning Müller, Kinematic synergies of hand grasps: a comprehensive study on a large publicly available dataset (2019), in: Journal of Neuroengineering and rehabilitation

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Francesca Stival, Stefano Michieletto, Matteo Cognolato, Enrico Pagello, Henning Müller and Manfredo Atzori, A Quantitative Taxonomy of Human Hand Grasps, (2019), in: Journal of NeuroEngineering and Rehabilitation,, 16:28

[]: 2019. (IF=3.865)

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Laura Menotti, Gianmaria Silvello, Manfredo Atzori, Svetla Boytcheva, Francesco Ciompi, Giorgio Maria Di Nunzio, Filippo Fraggetta, Fabio Giachelle, Ornella Irrera, Stefano marchesin and others, Modelling digital health data: The ExaMode ontology for computational pathology (2023), in: Journal of Pathology Informatics(100332)

Matteo Cognolato, Manfredo Atzori and Henning Müller, Head-mounted eye gaze tracking devices: An overview of modern devices and recent advances (2018), in: Journal of Rehabilitation and Assistive Technologies Engineering, 5

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Manfredo Atzori, Arjan Gijsberts, Claudio Castellini, Barbara Caputo, Anne-Gabrielle Mittaz Hager, Elsig Simone, Giorgio Giatsidis, Franco Bassetto and Henning Müller, Clinical Parameter Effect on the Capability to Control Myoelectric Robotic Prosthetic Hands (2016), in: Journal of Rehabilitation Research and Development, 53:3(345-358)

[]: (IF 2013=1.688)

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Anastasiia Rozhyna, Gábor Márk Somfai, Manfredo Atzori, Delia Cabrera DeBuc, Amr Saad, Jay Zoellin and Henning Müller, Exploring Publicly Accessible Optical Coherence Tomography Datasets: A Comprehensive Overview (2024), in: MDPI Diagostics

[DOI]

Juan P. Dominguez-Morales, Lourdes Duran-Lopez, Niccolò Marini, Saturnino Vicente-Diaz, Alejandro Linares-Barranco, Manfredo Atzori and Henning Müller, A systematic comparison of deep learning methods for Gleason grading and scoring (2024), in: Medical Image Analysis

[DOI]

Niccolò Marini, Stefano marchesin, Marek Wodzinski, Alessandro Caputo, Damian Podareanu, Bryan Cardenas Guevara, Svetla Boytcheva, Simona Vatrano, Filippo Fraggetta, Francesco Ciompi, Gianmaria Silvello, Henning Müller and Manfredo Atzori, Multimodal Representations of Biomedical Knowledge from Limited Training Whole Slide Images and Reports using Deep Learning (2024), in: Medical Image Analysis

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[DOI]

Philippe Weitz, Masi Valkonen, Leslie Solorzano, Circe Carr, Kimmo Kartasalo, Constance Boissin, Sonja Koivukoski, Aino Kuusela, Dusan Rasic, Yanbo Feng, Sandra Sinius Pouplier, Abhinav Sharma, Kajsa Ledesma Eriksson, Stephanie Robertson, Christian Marzahl, Chandler D. Gatenbee, Alexander R. A. Anderson, Marek Wodzinski, Artur Jurgas, Niccolò Marini, Manfredo Atzori, Henning Müller, Daniel Budelmann, Nick Weiss, Stefan Heldmann, Johannes Lotz, Jelmer M. Wolterink, Bruno De Santi, Abhijeet Patil, Amit Sethi, Satoshi Kondo, Satoshi Kasai, Kousuke Hirasawa, Mahtab Farrokh, Neeraj Kumar, Russell Greiner, Leena Latonen, Anne-Vibeke Laenkholm, Johan Hartman, Pekka Ruusuvuori and Mattias Rantalainen, The ACROBAT 2022 challenge: Automatic registration of breast cancer tissue (2024), in: Medical Image Analysis

[DOI]

Niccolò Marini, Sebastian Otalora, Henning Müller and Manfredo Atzori, Semi-supervised training of deep convolutional neural networks with heterogeneous data and few local annotations: an experiment on histopathology image classification (2021), in: Medical Image Analysis

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Anastasiia Rozhyna, Gábor Márk Somfai, Manfredo Atzori and Henning Müller, An Overview of Public Retinal Optical Coherence Tomography Datasets: Access, Annotations, and Beyond (2024), in: Medical Informatics Europe 2024(1664 - 1668)

[DOI]

Louis Fabrice Tshimanga, Andrea Zanola, Silvia Facchini, Antonio Luigi Bisogno, Lorenzo Pini, Manfredo Atzori and Maurizio Corbetta, Behavioral Clusters in Ischemic Stroke based on NIHSS Similarity (2023), in: medRxiv(2023--11)

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