Keywords:
Publications of Manfredo Atzori sorted by first author
A
| , , , , , , , , , , and , Increased fronto-temporal perfusion in bipolar disorder (2008), in: Journal of Affective Disorders:110(106-114) |
| , and , Availability of sEMG controlled prosthetic arm components, Information Systems Institute, HES-SO Valais; EPFL, 2020 |
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| , Data variability as a challenge to improve classification and retrieval in digital pathology, in: MICCAI, Computational Pathology Workshop (COMPAY), Granada (Spain), 2018 |
| , A Deterministic and Ductile Segmentation Algorithm for Morphologic MRI and CTA Images and Quantitative Analysis of Dynamic Susceptibility-Contrast Magnetic Resonance Imaging Data, University of Padova, Ph.D School in Information Engineering, Course of Bioengineering, 2010 |
| , NMR Scans of the Brain: an Automatic Analysis Algorithm Based on the Features of the Tissues, University of Padova, Department of Physics, 2006 |
| , and , Recognition of Hand Movements in a Trans–Radial Amputated Subject by sEMG, in: International Conference On Rehabilitation Robotics (ICORR) 2013, Seatlle, WA, USA, 2013 |
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| , , and , 3D Segmentation of Human Anatomical Structures in MRI, CT and CTA: An authomatic Algorithm, in: Atti del Congresso Nazionale di Bioingegneria, Pisa, Italy, pages 651-652, 2008 |
| , and , Spatial Registration of Hand Muscle Electromyography Signals, in: 7th International Workshop on Biosignal Interpretation, Como, Italy, 2012 |
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| , , , , , , , , , , , , and , Myo-electricity and gaze tracking data to improve hand prosthetics and neuro-cognitive examination, in: FESSH 2018, Copenhagen, Denmark, 2018 |
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, and , Deep learning with convolutional neural networks: a resource for the control of robotic prosthetic hands via electromyography (2016), in: Frontiers in Neurorobotics, 10(9)
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[DOI] [URL] |
| , , , , , and , Nuove frontiere in Bio-robotica: Acquisizioni di Segnali Tramite Elettromiografia di Superficie per il Riconoscimento di Movimenti della Mano, in: Congresson Nazionale della Società Italiana di Chirurgia della Mano, Rimini, Italy, 2013 |
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| , , and , Natural Control Capabilities of Robotic Hands by Hand Amputated Subjects, in: Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Chicago (USA), IEEE, 2014 |
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, , , , , , , and , Clinical Parameter Effect on the Capability to Control Myoelectric Robotic Prosthetic Hands (2016), in: Journal of Rehabilitation Research and Development, 53:3(345-358)
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| , , , , , , , and , Electromyography data for non-invasive naturally controlled robotic hand prostheses (2014), in: Scientific Data, 1:140053 |
[DOI] [URL] |
| , , , and , Dexterous Control of Prosthetic Hands, in: ICAR 2013 Proceedings, Montevideo, Uruguay, 2013 |
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| , , , , , and , Experiences in the Creation of an Electromyography Database to Help Hand Amputated Persons, in: Proceedings of the 24th European Medical Informatics Conference - MIE2012, Pisa, Italy, 2012 |
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| , , , , , , , and , Building the NINAPRO Database: A Resource for the Biorobotics Community, in: Proceedings of the IEEE International Conference on Biomedical Robotics and Biomechatronics, Roma, Italy, pages 51, 2012 |
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, , , , , , , and , Characterization of a Benchmark Database for Myoelectric Movement Classification (2015), in: Transactions on Neural Systems and Rehabilitation Engineering, 23:1(73-83)
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[DOI] [URL] |
| , , and , Classification of hand movements in amputated subjects by sEMG and accelerometers, in: Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Chicago, IL, USA, 2014 |
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| , , , , and , Effects of Prosthesis Use on the Capability to Control Myoelectric Robotic Prosthetic Hands, in: 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Milano (Italy), 2015 |
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and , Parallel feature extraction tools to speed up feature extraction (2019), in: Frontiers in Neurorobotics
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| and , The Ninapro database: a Resource for sEMG Naturally Controlled Robotic Hand Prosthetics, in: 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Milano, Italy, 2015 |
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| and , 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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| and , Electromyography Low Pass Filtering Effects on the Classification of Hand Movements in Amputated Subjects (2014), 3:2(118-122) |
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| and , Electromyography Low Pass Filtering Effects on the Classification of Hand Movements in Amputated Subjects, in: SCIEI International Conference on Digital Signal Processing (ICDSP), Milano, Italy, 2014 |
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| and , NINAPRO Project First Milestone: Set Up of the Data Base, institute of Business Information Systems, University of Applied Sciences Western Switzerland, Sierre (HES-SO Valais), 2012 |
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| , and , Controllo della Mano Robotica: Andiamo Verso una Rivoluzione della Protesica, in: Congresso Nazionale della Società Italiana di Chirurgia della Mano, Foggia, Italy, 2014 |
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| , , , , , , , and , A dexterous hand prosthesis based on additive manufacturing, in: Proceedings of the Congress of the National Group of Bioengineering (GNB), Patron, 2023 |
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| , , , , , , and , A retrieval system for digital pathology for private datasets and scientific literature, in: European Congress of Digital Pathology, Helsinki, Finland, 2018 |
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| , , and , Deterministic Automatic Segmentation in MRI, CT and CTA: A Robust Method Based on Anatomical Structures Modeling and Local Recursive Intensity Analysis, in: 17th Joint Annual Meeting ISMRM-ESMRMB Scientific Proceedings, ISMRM-ESMRMB, Honolulu, Hawai’i, U.S., pages 357, 2009 |
| , , , , , , , , and , Analysis of anatomical structures in MRI, CT and CTA: a robust identification and segmentation method based on anatomical structures features modelling and analysis, in: Proceedings of the ESMRMB Annual Meeting, Valencia 2008, pages 711, 2008 |
| , , , , , , and , Automatic Segmentation of Human Brain, Grey and White Matter in MRI: A Robust and Accurate Algorithm Based on the Tissue Features Analysis, in: 15th Joint Annual Meeting ISMRM-ESMRMB Scientific Proceedings, Berlin, Germany, pages 412, 2007 |
| , , , and , Effect of movement type on the classification of electromyography data for the control of dexterous prosthetic hands, in: Biorob, International Conference on Biomedical Robotics & Biomechatronics, New York City, NY, USA, 2020 |
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| , , and , Electromyography for Hand Prosthetics Demo, in: XXVIII Conférence francophone sur l'Interaction Homme-Machine, Fribourg, Suisse, 2016 |
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| , , and , Elettromiografia, protesica e robotica in rapido progresso verso l'amputazione funzionale: i risultati del progetto Ninapro (2016), in: Rivista di Chirurgia della mano, 53:3 |
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| , , , , , and , Variability of sEMG classification accuracy in different hand movements for intact and hand amputated subjects, in: Innovations in Amputation Surgery and Prosthetic Technologies (IASPT), 2018 |
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| , , , and , Advancements towards a functional amputation of the hand., in: Proceedings of the 26th EURAPS Annual Meeting, European Association of Plastic Surgeons (EURAPS), Edinburgh, United Kingdom, 2015 |
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B
| , , , , and , Development of a Deep Convolutional Neural Network to Predict the Grading of Canine Meningiomas from MR images (2018), in: The veterinary journal, 235(90-92) |
| , , and , Advancements towards non invasive, naturally controlled robotic hand prostheses, in: XX Congress of the Federation of European Societies for Surgery of the Hand (FESSH), Milan, Italy, 2015 |
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| , , , , , , , , and , Effects of hand amputation surgery procedures on sEMG activity to control robotic hand prostheses, in: FESSH, Berlin, Germany, 2019 |
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| , , and , Clinical, anatomical and external factors to improve dexterous robotic hand prostheses, in: XXI Congress of the Federation of European Societies for Surgery of the Hand (FESSH), Santander, Spain, 2016 |
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| , , , , , , , , and , Effects of hand amputation surgery procedures on phantom limb sensation, in: FESSH, Berlin, Germany, 2019 |
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| , , , and , Spatial and temporal muscle synergies provide a dual characterization of low-dimensional and intermittent control of upper-limb movements (2023), in: Neuroscience, 514(100--122) |
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C
| , , , , , , , and , A Learning by Example Approach for MRI Analysis of Human Brain in the Context of Menthal Health, in: 15th Joint Annual Meeting ISMRM-ESMRMB 2007 Scientific Proceedings, Berlin, Germany, pages 434, 2007 |
| , , , , , , and , Improving the classification of veterinary thoracic radiographs through inter-species and inter-pathology self-supervised pre-training of deep learning models (2023), in: Sci Rep:Article number: 19518 (2023) |
[DOI] |
| , , , , , , , and , Schizophrenia classification using regions of interest in brain MRI, in: Workshop in Intelligent Data Analysis in Biomedicine and Pharmacology, IDAMAP, Verona, Italy, 2009 |
| , , , , , , , , and , A Hybrid Generative/Discriminative Method for Classification of Regions of Interest in Schizophrenia Brain MRI, in: Proceedings of MICCAI09 workshop on Probabilistic Models for Medical Image Analysis, London, UK, London, UK, 2009 |
| , , , and , From NinaPro to MeganePro towards the natural control of myoelectric prosthetic hands, in: Cybathlon Symposium, Zurich, Switzerland, 2016 |
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| , , , , , and , Hand Gesture Classification in Transradial Amputees Using the Myo Armband Classifier, in: 7th IEEE International Conference on Biomedical Robotics and Biomechatronics (Biorob), Enschede, The Netherlands, pages 156 - 161, 2018 |
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