Manfredo Atzori

Orcid: 0000-0001-5397-2063

According to our database1, Manfredo Atzori authored at least 59 papers between 2010 and 2024.

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Bibliography

2024
SelfEEG: A Python library for Self-Supervised Learning in Electroencephalography.
J. Open Source Softw., April, 2024

The ACROBAT 2022 challenge: Automatic registration of breast cancer tissue.
Medical Image Anal., 2024

Multimodal representations of biomedical knowledge from limited training whole slide images and reports using deep learning.
Medical Image Anal., 2024

A systematic comparison of deep learning methods for Gleason grading and scoring.
Medical Image Anal., 2024

Automatic Labels are as Effective as Manual Labels in Biomedical Images Classification with Deep Learning.
CoRR, 2024

Improving Quality Control of Whole Slide Images by Explicit Artifact Augmentation.
CoRR, 2024

DeeperHistReg: Robust Whole Slide Images Registration Framework.
CoRR, 2024

RegWSI: Whole slide image registration using combined deep feature- and intensity-based methods: Winner of the ACROBAT 2023 challenge.
Comput. Methods Programs Biomed., 2024

An Overview of Public Retinal Optical Coherence Tomography Datasets: Access, Annotations, and Beyond.
Proceedings of the Digital Health and Informatics Innovations for Sustainable Health Care Systems, 2024

2023
Intra-operative Brain Tumor Detection with Deep Learning-Optimized Hyperspectral Imaging.
CoRR, 2023

An overview of open source Deep Learning-based libraries for Neuroscience.
CoRR, 2023

Functional Synergies Applied to a Publicly Available Dataset of Hand Grasps Show Evidence of Kinematic-Muscular Synergistic Control.
IEEE Access, 2023

Applications of Self-Supervised Learning to Biomedical Signals: A Survey.
IEEE Access, 2023

Robust Multiresolution and Multistain Background Segmentation in Whole Slide Images.
Proceedings of the Latest Developments and Challenges in Biomedical Engineering, 2023

Artifact Augmentation for Learning-based Quality Control of Whole Slide Images.
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

Multi_Scale_Tools: A Python Library to Exploit Multi-Scale Whole Slide Images.
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
PaWFE: Fast Signal Feature Extraction Using Parallel Time Windows.
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

Tumor proliferation assessment of whole slide images.
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

Determining the scale of image patches using a deep learning approach.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Visual Cues to Improve Myoelectric Control of Upper Limb Prostheses.
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
Visual Cues to Improve Myoelectric Control of Upper Limb Prostheses.
CoRR, 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

Deep Multimodal Case-Based Retrieval for Large Histopathology Datasets.
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

Live ECG readings using Google Glass in emergency situations.
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
Classification of hand movements in amputated subjects by sEMG and accelerometers.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Natural control capabilities of robotic hands by hand amputated subjects.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2013
Recognition of hand movements in a trans-radial amputated subject by sEMG.
Proceedings of the IEEE 13th International Conference on Rehabilitation Robotics, 2013

2011
Multimodal Schizophrenia Detection by Multiclassification Analysis.
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


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