Keywords:
Publications of Manfredo Atzori sorted by journal and type
Transactions on Neural Systems and Rehabilitation Engineering
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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Publications of type Inbook
2017
Elsevier book on Texture Analysis, chapter Analysis of Histopathology Images: From Traditional Machine Learning to Deep Learning, 2017 | , , , , , , and ,
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Publications of type Incollection
2015
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, pages 581-588, Springer International Publishing, 2015 | , , , , , , , and ,
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Publications of type Inproceedings
2024
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 | , and ,
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A full pipeline to analyze lung histopathology images, in: Digital and Computational Pathology, SPIE Medical Imaging, 2024 | , , , , , , , and ,
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Automated classification of celiac disease in histopathological images: a multi-scale approach, in: Computer-Aided Diagnosis, SPIE Medical Imaging, 2024 | , , , , , , , , , , and ,
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2023
A dexterous hand prosthesis based on additive manufacturing, in: Proceedings of the Congress of the National Group of Bioengineering (GNB), Patron, 2023 | , , , , , , , and ,
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Artifact Augmentation for Learning-based Quality Control of Whole Slide Images, in: EMBC, Sydney, Australia, 2023 | , , , and ,
2022
A multi-task Multiple Instance Learning algorithm to analyze large whole slide images from the BRIGHT challenge 2022, in: ISBI Challenges 2022, Bangalore India, 2022 | , , and ,
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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 | , , , and ,
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2021
Classification of noisy free-text prostate cancer pathology reports using natural language processing, in: Workshop AIDP at ICPR, 2021 | , , and ,
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H&E-adversarial network: a convolutional neural network to learn stain-invariant features through Hematoxylin & Eosin regression, in: ICCV 2021 workshop on Computational Challenges in Digital Pathology, 2021 | , , , and ,
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Multi-Scale Multiple Instance Learning for the Classification of Digital Pathology Images with Global Annotations, in: COMPAY workshop at MICCAI, 2021 | , , , , , , , and ,
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Semi-supervised learning with a teacher-student paradigm for histopathology classification: a resource to face data heterogeneity and lack of local annotations, in: Workshop Artificial Intelligence for Digital Pathology, ICPR, Milano, Italy, 2021 | , , and ,
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2020
A systematic comparison of deep learning strategies for weakly supervised Gleason grading,, in: SPIE Medical Imaging, Houstonm, TX, USA, 2020 | , , , , and ,
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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 | , , , and ,
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Exploiting the PubMed Central repository to mine out a large multimodal dataset of rare cancer studies, in: SPIE Medical Imaging, Houston, TX, USA, 2020 | , , , and ,
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Eye-hand coordination to improve grasp-type recognition in hand prostheses, in: Cybathlon Symposium, Zürich, Switzerland, 2020 | , , and ,
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Generalizing Convolution Neural Networks on Stain Color Heterogeneous Data for Computational Pathology, in: SPIE Medical Imaging, Houston, TX, USA,, 2020 | , , and ,
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Semi-Weakly Supervised Learning for Prostate Cancer Image Classification with Teacher-Student Deep Convolutional Networks, in: MICCAI workshop Labels, Lima, Peru, 2020 | , , and ,
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Training a deep neural network for small and highly heterogeneous MRID datasets for cancer grading, in: EMBC Conference, IEEE, 2020 | , , , , and ,
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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, pages 1758--1761, 2020 | , , , , and ,
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Using Publicly Available Medical Images from the Open Access Literature and Social Networks for Model Training and Knowledge Extraction, in: Multimedia Modeling (MMM 2020), Seoul, Korea, 2020 | , , , , and ,
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2019
An Augmented Reality Environment to Provide Visual Feedback to Amputees during sEMG Data Acquisitions, in: TAROS (Towards Autonomous Robotic Systems), London, United Kingdom, 2019 | , , , and ,
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Analyzing the trade-off between training session time and performance in myoelectric hand gesture recognition during upper limb movement, in: 2019 IEEE 16th International Conference on Rehabilitation Robotics (ICORR), Toronto, Canada, 2019 | , , , and ,
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Effects of hand amputation surgery procedures on phantom limb sensation, in: FESSH, Berlin, Germany, 2019 | , , , , , , , , and ,
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Effects of hand amputation surgery procedures on sEMG activity to control robotic hand prostheses, in: FESSH, Berlin, Germany, 2019 | , , , , , , , , and ,
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Kinematic synergies of hand grasps, in: ESB 2019, Vienna, Austria, 2019 | , , , , and ,
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Myo electricity and 3D printing: a resource for revolutionary hand prosthetics, in: FESSH, Berlin, Germany, 2019 | , , , , , , and ,
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Myo electricity and 3D printing: a resource for revolutionary hand prosthetics, in: FESSH, Berlin (Germany), 2019 | , , , , , , , and ,
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2018
A retrieval system for digital pathology for private datasets and scientific literature, in: European Congress of Digital Pathology, Helsinki, Finland, 2018 | , , , , , , and ,
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Aiming with varying degrees of accuracy requirements: Fitt’s Law and associated gaze behaviour in upper limb amputees, in: Urobody conference, Bremen, Germany, 2018 | , , , , , , , , and ,
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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 | , , , , , , , , , , and ,
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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 | , , , , , , , , , and ,
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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 | ,
Determining the scale of image patches using a deep learning approach, in: IEEE International Symposium on Biomedical Imaging (ISBI), Washington, DC, USA, 2018 | , , , , and ,
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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 | , , , , , and ,
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Image Magnification Regression Using DenseNet for Exploiting Histopathology Open Access Content, in: MICCAI 2018 - Computational Pathology Workshop (COMPAY), Granada, Spain, 2018 | , , and ,
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Myo-electricity and gaze tracking data to improve hand prosthetics and neuro-cognitive examination, in: FESSH 2018, Copenhagen, Denmark, 2018 | , , , , , , , , , , , , and ,
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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 | , , , and ,
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Tumor proliferation grading from whole slide images, in: SPIE Medical Imaging, Houston, Texas, USA, 2018 | , , , , , , , and ,
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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 | , , , , , and ,
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Visual Cues to Improve Myoelectric Control of Upper Limb Prostheses, in: 7th IEEE International Conference on Biomedical Robotics and Biomechatronics (BioRob), Enschede, The Netherlands, pages 783-788, IEEE, 2018 | , , , and ,
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2017
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 | , , , , and ,
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Convolutional neural networks for an automatic classification of prostate tissue slides with high-grade Gleason score, in: SPIE Medical Imaging, pages 101400O-101400O-9, 2017 | , , , , , , and ,
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Deep Multimodal Case-Based Retrieval for Large Histopathology Datasets, in: MICCAI 2017 workshop on Patch-based image analysis, Quebec City, Canada, 2017
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Megane Pro: myo-electricity, visual and gaze tracking integration as a resource for dexterous hand prosthetics, in: IEEE International Conference on Rehabilitation Robotics, London, UK, 2017 | , , , , , , , , , , , and ,
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Semi-automatic training of an object recognition system in scene camera data using gaze tracking and accelerometers, in: International Conference on Computer Vision Systems (ICVS), Shenzhen (China), 2017 | , , , , , , , and ,
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2016
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 | , , and ,
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Electromyography for Hand Prosthetics Demo, in: XXVIII Conférence francophone sur l'Interaction Homme-Machine, Fribourg, Suisse, 2016 | , , and ,
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