Trefwoorden:
Publicaties van Manfredo Atzori gesorteerd op eerste auteur
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| , , en , Image Magnification Regression Using DenseNet for Exploiting Histopathology Open Access Content, in: MICCAI 2018 - Computational Pathology Workshop (COMPAY), Granada, Spain, 2018 |
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| , , , , , , en , Identification and retrieval of prostate cancer cases using a content-based search tool (2019), in: Pathology Informatics |
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| , , , , , , , en , Combining Unsupervised Feature Learning and Riesz Wavelets for Histopathology Image Representation: Application to Identifying Anaplastic Medulloblastoma, in: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015, pagina's 581-588, Springer International Publishing, 2015 |
[DOI] |
| , , , , en , A systematic comparison of deep learning strategies for weakly supervised Gleason grading,, in: SPIE Medical Imaging, Houstonm, TX, USA, 2020 |
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| , , en , Semi-Weakly Supervised Learning for Prostate Cancer Image Classification with Teacher-Student Deep Convolutional Networks, in: MICCAI workshop Labels, Lima, Peru, 2020 |
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| , , en , Combining weak and strong supervised learning improves strong supervision in Gleason pattern classification (2021), in: BMC Medical Imaging |
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| , , , , , , en , stainlib: a python library for augmentation and normalization of histopathology H&E images (2022), in: bioArXiv |
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| , , , , en , Determining the scale of image patches using a deep learning approach, in: IEEE International Symposium on Biomedical Imaging (ISBI), Washington, DC, USA, 2018 |
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| , , , en , Deep learning based retrieval system for gigapixel histopathology cases and open access literature (2018), in: BioArXiv |
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| , , en , Variability of Muscle Synergies in Hand Grasps: Analysis of Intra-and Inter-Session Data (2020), in: Sensors, 20:15(4297) |
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| , , , en , An Augmented Reality Environment to Provide Visual Feedback to Amputees during sEMG Data Acquisitions, in: TAROS (Towards Autonomous Robotic Systems), London, United Kingdom, 2019 |
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| , , , , en , Analysis of the repeatability of grasp recognition for hand robotic prosthesis control based on sEMG data, in: IEEE International Conference on Rehabilitation Robotics, London, UK,, 2017 |
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, , , , en , Comparison of Six Electromyography Acquisition Setups on Hand Movement Classification Tasks (2017), in: Plos One
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| , , , , , , , , , , en , Automated classification of celiac disease in histopathological images: a multi-scale approach, in: Computer-Aided Diagnosis, SPIE Medical Imaging, 2024 |
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| , , , en , 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) |
| , , , en , Enhancing Gesture Classification Using Active EMG Band and Advanced Feature Extraction Technique (2023), in: IEEE Sensors Journal |
| , , , en , Active Surface Electromyogram (sEMG) Electrodes band with Enhanced Features based technique for Hand Gesture Classification (2023) |
| , , , , en , 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 |
| , , , , , , , en , Tumor proliferation grading from whole slide images, in: SPIE Medical Imaging, Houston, Texas, USA, 2018 |
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| , en , A comparative study of deep convolutional neural networks for the analysis of retinal damage in optical coherence tomography, in: Imaging Informatics for Healthcare, Research, and Applications, 2024 |
[DOI] |
| , , , , , en , Exploring Publicly Accessible Optical Coherence Tomography Datasets: A Comprehensive Overview (2024), in: MDPI Diagostics |
[DOI] |
| , , en , An Overview of Public Retinal Optical Coherence Tomography Datasets: Access, Annotations, and Beyond (2024), in: Medical Informatics Europe 2024(1664 - 1668) |
[DOI] |
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| , , , , en , 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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| , , , , , , , , en , Gaze, behavioral, and clinical data for phantom limbs after hand amputation from 15 amputees and 29 controls (2020), in: Scientific Data, 7:1(1--14) |
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| , , , , , , , , en , Aiming with varying degrees of accuracy requirements: Fitt’s Law and associated gaze behaviour in upper limb amputees, in: Urobody conference, Bremen, Germany, 2018 |
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| , , , , , , , , , en , Apparent motion perception in upper limb amputees with phantom sensations: obstacle shunning and obstacle tolerance, in: Proceedings of the ACNS conference 2018, Melbourne, Australia, 2018 |
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| , , , , , , en , Obstacles to mental imagery: How bodily constraints affect apparent motion perception of human body parts. A proposed experiment., in: International Brain-Computer Interface (BCI) Meeting, Darmstadt, 2016 |
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| , , , , , , , , , , en , Apparent motion perception in upper limb amputees with phantom sensations: obstacle shunning and obstacle tolerance, in: Hand, Brain and Technology: The Somatosensory System, Monte Verità, Switzerland, 2018 |
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| , , en , Mapping of the Upper Limb Work-Space: Benchmarking Four Wrist Smoothness Metrics (2022), in: Applied Sciences, 12:24(12643) |
| , , , en , 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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| , , , , en , 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] |
| , , , en , Deep learning based retrieval system for gigapixel histopathology cases and open access literature (2019), in: Pathology Informatics |
[DOI] |
| , , , , en , Live ECG Readings Using Google Glass in Emergency Situations, in: 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Milano, Italy, 2015 |
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, , , , en , A Quantitative Taxonomy of Human Hand Grasps, (2019), in: Journal of NeuroEngineering and Rehabilitation,, 16:28
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| , , , en , Quantitative hierarchical representation and comparison of hand grasps from electromyography and kinematic data, in: Workshop Learning Applications for Intelligent Autonomous Robots, 15th International Conference on Intelligent Autonomous Systems, Baden-Baden, Germany, 2018 |
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| , , , , , , en , Myo electricity and 3D printing: a resource for revolutionary hand prosthetics, in: FESSH, Berlin, Germany, 2019 |
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| , , , , , , , en , Myo electricity and 3D printing: a resource for revolutionary hand prosthetics, in: FESSH, Berlin (Germany), 2019 |
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| , , en , An Overview of Open Source Deep Learning-Based Libraries for Neuroscience (2023), in: Applied Sciences, 13:9(5472) |
| , , , , , en , Behavioral Clusters and Lesion Distributions in Ischemic Stroke, Based on NIHSS Similarity Network (2025), in: Journal of Healthcare Informatics Research(1--36) |
| , , , , , en , Behavioral Clusters in Ischemic Stroke based on NIHSS Similarity (2023), in: medRxiv(2023--11) |
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| , , , , , , , , , en , Multimodal Schizophrenia Detection by Multiclassification Analysis, in: Proceedings of the Iberoamerican Congress on Pattern Recognition 2011, Pucón, Chile, pagina's 491-498, 2011 |
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| , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , en , The ACROBAT 2022 challenge: Automatic registration of breast cancer tissue (2024), in: Medical Image Analysis |
[DOI] |
| , , , , en , Training Deep Neural Networks for Small and Highly Heterogeneous MRI Datasets for Cancer Grading, in: 2020 42nd Annual International Conference of the IEEE Engineering in Medicine \& Biology Society (EMBC), IEEE, pagina's 1758--1761, 2020 |
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| , , , , en , Training a deep neural network for small and highly heterogeneous MRID datasets for cancer grading, in: EMBC Conference, IEEE, 2020 |
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| , , , en , Unsupervised Deep Network for Large Deformations followed by Instance Optimization and Objective Function Weighting by Inverse Consistency: Contribution to the BraTS-Reg Challenge, in: MICCAI BrainLes workshop, 2022 |
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| , , en , 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 |
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| , , en , BIDSAlign: a library for automatic merging and preprocessing of multiple EEG repositories (2024), in: Journal of Neural Engineering, 21:4(046050) |
| , , , , en , Evaluation of methods for the extraction spatial muscle synergies (2022), in: Frontiers in neuroscience |
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| , , , , en , Evaluation of methods for the extraction spatial muscle synergies, in: Frontiers in Neuroscience(763) |