Schlagworte:
Publikationen von Manfredo Atzori sortiert nach Zeitschrift und Typ
| , , , und , Active Surface Electromyogram (sEMG) Electrodes band with Enhanced Features based technique for Hand Gesture Classification (2023) |
| und , Electromyography Low Pass Filtering Effects on the Classification of Hand Movements in Amputated Subjects (2014), 3:2(118-122) |
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12th Symposium of the Zurich Center for Integrative Human Physiology (ZIHP)
| , , , , und , 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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Applied Sciences
| , , und , An Overview of Open Source Deep Learning-Based Libraries for Neuroscience (2023), in: Applied Sciences, 13:9(5472) |
| , , und , Mapping of the Upper Limb Work-Space: Benchmarking Four Wrist Smoothness Metrics (2022), in: Applied Sciences, 12:24(12643) |
arXiv preprint arXiv:2507.07622
| , , , , , , , , und , TransformEEG: Towards Improving Model Generalizability in Deep Learning-based EEG Parkinson's Disease Detection (2025), in: arXiv preprint arXiv:2507.07622 |
bioArXiv
| , , , , , , und , stainlib: a python library for augmentation and normalization of histopathology H&E images (2022), in: bioArXiv |
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BioArXiv
| , , , und , Deep learning based retrieval system for gigapixel histopathology cases and open access literature (2018), in: BioArXiv |
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bioRxiv
| , , , , , , , , , und , A global effort to benchmark predictive models and reveal mechanistic diversity in long-term stroke outcomes (2025), in: bioRxiv(2024--10) |
BioRxiv
| , , , , , , , , und , 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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BMC Medical Imaging
| , , und , Combining weak and strong supervised learning improves strong supervision in Gleason pattern classification (2021), in: BMC Medical Imaging |
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Computer Methods and Programs in Biomedicine
| , , und , 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] |
Computers in Biology and Medicine
| , , , , und , 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) |
Elsevier
| , , , , , , , , und , TransformEEG: Towards improving model generalizability in deep learning-based EEG Parkinson’s disease detection (2025), in: Elsevier |
[DOI] |
Frontiers in Artificial Intelligence
| , , und , 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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Frontiers in Bioengienering and Biotechnology
, , , , und , On the visiomotor behavior of amputees and able-bodied people during grasping, (2019), in: Frontiers in Bioengienering and Biotechnology
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Frontiers in Bioengineering and Biotechnology-Bioinformatics and Computational Biology
, , , und , 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
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Frontiers in Computer Science
| , , , , , , und , Multi_Scale_Tools: A Python Library to Exploit Multi-Scale Whole Slide Images (2021), in: Frontiers in Computer Science |
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Frontiers in Neurorobotics
und , Parallel feature extraction tools to speed up feature extraction (2019), in: Frontiers in Neurorobotics
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| , , , und , 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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, und , 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] |
Frontiers in Neuroscience
| und , Toward improving reproducibility in neuroimaging deep learning studies (2024), in: Frontiers in Neuroscience, 18(1509358) |
Frontiers in neuroscience
| , , , , und , Evaluation of methods for the extraction spatial muscle synergies (2022), in: Frontiers in neuroscience |
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Frontiers in Neuroscience
| , , , , und , Evaluation of methods for the extraction spatial muscle synergies, in: Frontiers in Neuroscience(763) |
Frontiers in Systems Neuroscience
| und , 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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IEEE Access
| und , Applications of Self-Supervised Learning to Biomedical Signals: a Survey (2023), in: IEEE Access |
| , , , , und , 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] |
IEEE Sensors Journal
| , , , und , Enhancing Gesture Classification Using Active EMG Band and Advanced Feature Extraction Technique (2023), in: IEEE Sensors Journal |
IEEE Transactions on Medical Robotics and Bionics
| , , , und , 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) |
| , , , , und , 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 |
IEEE Transactions on neural systems and rehabiliation engineering
, , , und , Measuring Movement Classification Performance with the Movement Error Rate (2014), in: IEEE Transactions on neural systems and rehabiliation engineering
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IEEE Transactions on Neural Systems and Rehabilitation Engineering
| , , , und , The more, the better? Evaluating the role of EEG preprocessing for deep learning applications. (2025), in: IEEE Transactions on Neural Systems and Rehabilitation Engineering |
Jedlik Laboratory reports
| und , 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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Journal of Affective Disorders
| , , , , , , , , , , und , Increased fronto-temporal perfusion in bipolar disorder (2008), in: Journal of Affective Disorders:110(106-114) |
Journal of Digital Pathology
| , , , , , , , , , , , , und , Empowering Digital Pathology Applications through Explainable Knowledge Extraction Tools (2022), in: Journal of Digital Pathology |
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Journal of Healthcare Informatics Research
| , , , , , und , Behavioral Clusters and Lesion Distributions in Ischemic Stroke, Based on NIHSS Similarity Network (2025), in: Journal of Healthcare Informatics Research(1--36) |
Journal of Neural Engineering
| , , und , BIDSAlign: a library for automatic merging and preprocessing of multiple EEG repositories (2024), in: Journal of Neural Engineering, 21:4(046050) |
Journal of Neuroengineering and rehabilitation
| , , und , 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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Journal of NeuroEngineering and Rehabilitation,
, , , , und , A Quantitative Taxonomy of Human Hand Grasps, (2019), in: Journal of NeuroEngineering and Rehabilitation,, 16:28
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Journal of Pathology Informatics
| , , , , , , , , , und , Modelling digital health data: The ExaMode ontology for computational pathology (2023), in: Journal of Pathology Informatics(100332) |
Journal of Rehabilitation and Assistive Technologies Engineering
| , und , Head-mounted eye gaze tracking devices: An overview of modern devices and recent advances (2018), in: Journal of Rehabilitation and Assistive Technologies Engineering, 5 |
[DOI] [URL] |
Journal of Rehabilitation Research and Development
, , , , , , , und , 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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MDPI Diagostics
| , , , , , und , Exploring Publicly Accessible Optical Coherence Tomography Datasets: A Comprehensive Overview (2024), in: MDPI Diagostics |
[DOI] |
Medical Image Analysis
| , , , , , und , A systematic comparison of deep learning methods for Gleason grading and scoring (2024), in: Medical Image Analysis |
[DOI] |
| , , , , , , , , , , , und , Multimodal Representations of Biomedical Knowledge from Limited Training Whole Slide Images and Reports using Deep Learning (2024), in: Medical Image Analysis |
[DOI] |
| , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , und , The ACROBAT 2022 challenge: Automatic registration of breast cancer tissue (2024), in: Medical Image Analysis |
[DOI] |
| , , und , 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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Medical Informatics Europe 2024
| , , und , An Overview of Public Retinal Optical Coherence Tomography Datasets: Access, Annotations, and Beyond (2024), in: Medical Informatics Europe 2024(1664 - 1668) |
[DOI] |
medRxiv
| , , , , , und , Behavioral Clusters in Ischemic Stroke based on NIHSS Similarity (2023), in: medRxiv(2023--11) |