Manfredo Atzori
Orcid: 0000-0001-5397-2063
According to our database1,
Manfredo Atzori
authored at least 52 papers
between 2010 and 2024.
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Bibliography
2024
J. Open Source Softw., April, 2024
2023
CoRR, 2023
Intra-operative Brain Tumor Detection with Deep Learning-Optimized Hyperspectral Imaging.
CoRR, 2023
CoRR, 2023
Functional Synergies Applied to a Publicly Available Dataset of Hand Grasps Show Evidence of Kinematic-Muscular Synergistic Control.
IEEE Access, 2023
IEEE Access, 2023
Proceedings of the Latest Developments and Challenges in Biomedical Engineering, 2023
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
2022
Unleashing the potential of digital pathology data by training computer-aided diagnosis models without human annotations.
npj Digit. Medicine, 2022
Unsupervised Method for Intra-patient Registration of Brain Magnetic Resonance Images Based on Objective Function Weighting by Inverse Consistency: Contribution to the BraTS-Reg Challenge.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2022
2021
Questioning Domain Adaptation in Myoelectric Hand Prostheses Control: An Inter- and Intra-Subject Study.
Sensors, 2021
Semi-supervised training of deep convolutional neural networks with heterogeneous data and few local annotations: An experiment on prostate histopathology image classification.
Medical Image Anal., 2021
Improving Robotic Hand Prosthesis Control With Eye Tracking and Computer Vision: A Multimodal Approach Based on the Visuomotor Behavior of Grasping.
Frontiers Artif. Intell., 2021
Frontiers Comput. Sci., 2021
Combining weakly and strongly supervised learning improves strong supervision in Gleason pattern classification.
BMC Medical Imaging, 2021
Few-shot weakly supervised detection and retrieval in histopathology whole-slide images.
Proceedings of the Medical Imaging 2021: Digital Pathology, Online, February 15-19, 2021, 2021
H&E-adversarial network: a convolutional neural network to learn stain-invariant features through Hematoxylin & Eosin regression.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021
Multi-Scale Task Multiple Instance Learning for the Classification of Digital Pathology Images with Global Annotations.
Proceedings of the MICCAI Workshop on Computational Pathology, 2021
2020
Variability of Muscle Synergies in Hand Grasps: Analysis of Intra- and Inter-Session Data.
Sensors, 2020
Studying Public Medical Images from the Open Access Literature and Social Networks for Model Training and Knowledge Extraction.
Proceedings of the MultiMedia Modeling - 26th International Conference, 2020
Systematic comparison of deep learning strategies for weakly supervised Gleason grading.
Proceedings of the Medical Imaging 2020: Digital Pathology, 2020
Generalizing convolution neural networks on stain color heterogeneous data for computational pathology.
Proceedings of the Medical Imaging 2020: Digital Pathology, 2020
Semi-weakly Supervised Learning for Prostate Cancer Image Classification with Teacher-Student Deep Convolutional Networks.
Proceedings of the Interpretable and Annotation-Efficient Learning for Medical Image Computing, 2020
Semi-supervised Learning with a Teacher-Student Paradigm for Histopathology Classification: A Resource to Face Data Heterogeneity and Lack of Local Annotations.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020
Classification of Noisy Free-Text Prostate Cancer Pathology Reports Using Natural Language Processing.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020
Training Deep Neural Networks for Small and Highly Heterogeneous MRI Datasets for Cancer Grading.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
Effect of movement type on the classification of electromyography data for the control of dexterous prosthetic hands.
Proceedings of the 8th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics, 2020
2019
Frontiers Neurorobotics, 2019
An Augmented Reality Environment to Provide Visual Feedback to Amputees During sEMG Data Acquisitions.
Proceedings of the Towards Autonomous Robotic Systems - 20th Annual Conference, 2019
Analyzing the Trade-Off Between Training Session Time and Performance in Myoelectric Hand Gesture Recognition During Upper Limb Movement.
Proceedings of the 16th IEEE International Conference on Rehabilitation Robotics, 2019
2018
Muscle Synergy Analysis of a Hand-Grasp Dataset: A Limited Subset of Motor Modules May Underlie a Large Variety of Grasps.
Frontiers Neurorobotics, 2018
Proceedings of the Medical Imaging 2018: Digital Pathology, 2018
Image Magnification Regression Using DenseNet for Exploiting Histopathology Open Access Content.
Proceedings of the Computational Pathology and Ophthalmic Medical Image Analysis, 2018
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Proceedings of the 7th IEEE International Conference on Biomedical Robotics and Biomechatronics, 2018
Hand Gesture Classification in Transradial Amputees Using the Myo Armband Classifier.
Proceedings of the 7th IEEE International Conference on Biomedical Robotics and Biomechatronics, 2018
2017
Convolutional neural networks for an automatic classification of prostate tissue slides with high-grade Gleason score.
Proceedings of the Medical Imaging 2017: Digital Pathology, 2017
Proceedings of the Patch-Based Techniques in Medical Imaging, 2017
Semi-automatic Training of an Object Recognition System in Scene Camera Data Using Gaze Tracking and Accelerometers.
Proceedings of the Computer Vision Systems - 11th International Conference, 2017
Repeatability of grasp recognition for robotic hand prosthesis control based on sEMG data.
Proceedings of the International Conference on Rehabilitation Robotics, 2017
Megane Pro: Myo-electricity, visual and gaze tracking data acquisitions to improve hand prosthetics.
Proceedings of the International Conference on Rehabilitation Robotics, 2017
2016
Deep Learning with Convolutional Neural Networks Applied to Electromyography Data: A Resource for the Classification of Movements for Prosthetic Hands.
Frontiers Neurorobotics, 2016
2015
Combining Unsupervised Feature Learning and Riesz Wavelets for Histopathology Image Representation: Application to Identifying Anaplastic Medulloblastoma.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
The Ninapro database: A resource for sEMG naturally controlled robotic hand prosthetics.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
Effects of prosthesis use on the capability to control myoelectric robotic prosthetic hands.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
2014
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
2013
Proceedings of the IEEE 13th International Conference on Rehabilitation Robotics, 2013
2011
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2011
2010
A deterministic and ductile segmentation algorithm for morphologic MRI and CTA images and quantitative analysis of dynamic susceptibility-contrast magnetic resonance imagine data.
PhD thesis, 2010