Manfredo Atzori

发表

Effect of movement type on the classification of electromyography data for the control of dexterous prosthetic hands

Henning Müller, Manfredo Atzori, Elisa Rosanda, 2020, 2020 8th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob).

Exploiting biomedical literature to mine out a large multimodal dataset of rare cancer studies

Henning Müller, Manfredo Atzori, Vincent Andrearczyk, 2020, Medical Imaging.

Gaze, visual, myoelectric, and inertial data of grasps for intelligent prosthetics

Manfredo Atzori, Franco Bassetto, Henning Müller, 2019, Scientific Data.

Convolutional neural networks for an automatic classification of prostate tissue slides with high-grade Gleason score

Mats Andersson, Manfredo Atzori, Henning Müller, 2017, Medical Imaging.

Deep Multimodal Case-Based Retrieval for Large Histopathology Datasets

Manfredo Atzori, Henning Müller, Oscar Alfonso Jiménez del Toro, 2017, Patch-MI@MICCAI.

Deep learning with convolutional neural networks: a resource for the control of robotic prosthetic hands via electromyography

Manfredo Atzori, Henning Müller, Matteo Cognolato, 2016 .

A large calibrated database of hand movements and grasps kinematics

Henning Müller, Manfredo Atzori, Néstor J. Jarque-Bou, 2020, Scientific Data.

Chapter 10 – Analysis of Histopathology Images: From Traditional Machine Learning to Deep Learning

Manfredo Atzori, Henning Müller, Oscar Jimenez-del-Toro, 2017 .

PaWFE: Fast Signal Feature Extraction Using Parallel Time Windows

Manfredo Atzori, Henning Müller, M. Atzori, 2019, Front. Neurorobot..

A quantitative taxonomy of human hand grasps

Manfredo Atzori, Henning Müller, Francesca Stival, 2019, Journal of NeuroEngineering and Rehabilitation.

An Augmented Reality Environment to Provide Visual Feedback to Amputees During sEMG Data Acquisitions

Manfredo Atzori, Henning Müller, Ivan Eggel, 2019, TAROS.

Head-mounted eye gaze tracking devices: An overview of modern devices and recent advances

Manfredo Atzori, Henning Müller, Matteo Cognolato, 2018, Journal of rehabilitation and assistive technologies engineering.

Staining Invariant Features for Improving Generalization of Deep Convolutional Neural Networks in Computational Pathology

Henning Müller, Manfredo Atzori, Vincent Andrearczyk, 2019, Front. Bioeng. Biotechnol..

Multifunction control and evaluation of a 3D printed hand prosthesis with the Myo armband by hand amputees

Manfredo Atzori, Roger Gassert, Matteo Cognolato, 2018, bioRxiv.

Semi-automatic Training of an Object Recognition System in Scene Camera Data Using Gaze Tracking and Accelerometers

Barbara Caputo, Manfredo Atzori, Henning Müller, 2017, ICVS.

Gaze, visual, myoelectric, and inertial data of grasps for intelligent prosthetics

Henning Müller, Manfredo Atzori, Franco Bassetto, 2020, Scientific Data.

Characterization of a Benchmark Database for Myoelectric Movement Classification

Ilja Kuzborskij, Barbara Caputo, Manfredo Atzori, 2015, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Movement Error Rate for Evaluation of Machine Learning Methods for sEMG-Based Hand Movement Classification

Manfredo Atzori, Claudio Castellini, Arjan Gijsberts, 2014, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Spatial Registration of Hand Muscle Electromyography Signals

Manfredo Atzori, Henning Müller, Claudio Castellini, 2012 .

Ninapro Dataset 5 (Double Myo Armband)

Manfredo Atzori, Henning Müller, Monica Reggiani, 2017 .

Training Deep Neural Networks for Small and Highly Heterogeneous MRI Datasets for Cancer Grading

Manfredo Atzori, Henning Müller, Vincent Andrearczyk, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Studying Public Medical Images from the Open Access Literature and Social Networks for Model Training and Knowledge Extraction

Manfredo Atzori, Roger Schaer, Henning Müller, 2020, MMM.

Publisher Correction: Gaze, visual, myoelectric, and inertial data of grasps for intelligent prosthetics

Henning Müller, Manfredo Atzori, Franco Bassetto, 2020, Scientific Data.

Tumor proliferation assessment of whole slide images

Mats Andersson, Manfredo Atzori, Henning Müller, 2018, Medical Imaging.

Variability of Muscle Synergies in Hand Grasps: Analysis of Intra- and Inter-Session Data

Alessandro Scano, Henning Müller, Manfredo Atzori, 2020, Sensors.

Megane Pro: Myo-electricity, visual and gaze tracking data acquisitions to improve hand prosthetics

Barbara Caputo, Manfredo Atzori, Henning Müller, 2017, 2017 International Conference on Rehabilitation Robotics (ICORR).

Systematic comparison of deep learning strategies for weakly supervised Gleason grading

Henning Müller, Manfredo Atzori, Vincent Andrearczyk, 2020, Medical Imaging: Digital Pathology.

Visual Cues to Improve Myoelectric Control of Upper Limb Prostheses

Manfredo Atzori, Barbara Caputo, Matteo Cognolato, 2018, 2018 7th IEEE International Conference on Biomedical Robotics and Biomechatronics (Biorob).

Analyzing the Trade-Off Between Training Session Time and Performance in Myoelectric Hand Gesture Recognition During Upper Limb Movement

Manfredo Atzori, Henning Müller, Yashin Dicente Cid, 2019, 2019 IEEE 16th International Conference on Rehabilitation Robotics (ICORR).

Deep Learning-Based Retrieval System for Gigapixel Histopathology Cases and the Open Access Literature

Manfredo Atzori, Henning Müller, Roger Schaer, 2018, bioRxiv.

On the Visuomotor Behavior of Amputees and Able-Bodied People During Grasping

Manfredo Atzori, Matteo Cognolato, Arjan Gijsberts, 2019, Front. Bioeng. Biotechnol..

NinaPro - Non Invasive Adaptive Hand Prosthetics Developing a family of algorithms to augment the dexterity and reduce the training time for surface electromyography controlled prosthesis of the hand.

Manfredo Atzori, Henning Müller, 2013 .

Hand Gesture Classification in Transradial Amputees Using the Myo Armband Classifier* This work was partially supported by the Swiss National Science Foundation Sinergia project # 410160837 MeganePro.

Manfredo Atzori, Henning Müller, Matteo Cognolato, 2018, 2018 7th IEEE International Conference on Biomedical Robotics and Biomechatronics (Biorob).

Generalizing convolution neural networks on stain color heterogeneous data for computational pathology

Henning Müller, Manfredo Atzori, Vincent Andrearczyk, 2020, Medical Imaging: Digital Pathology.

Determining the scale of image patches using a deep learning approach

Mats Andersson, Manfredo Atzori, Henning Müller, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Ninapro Dataset 4 (Cometa Wave Plus + Dormo)

Manfredo Atzori, Henning Müller, Monica Reggiani, 2017 .

Effects of prosthesis use on the capability to control myoelectric robotic prosthetic hands

Manfredo Atzori, Henning Müller, Anne-Gabrielle Mittaz Hager, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Deep Learning with Convolutional Neural Networks Applied to Electromyography Data: A Resource for the Classification of Movements for Prosthetic Hands

Manfredo Atzori, Henning Müller, Matteo Cognolato, 2016, Front. Neurorobot..

Recognition of hand movements in a trans-radial amputated subject by sEMG

Manfredo Atzori, Henning Müller, Micheal Baechler, 2013, 2013 IEEE 13th International Conference on Rehabilitation Robotics (ICORR).

Building the Ninapro database: A resource for the biorobotics community

Manfredo Atzori, Patrick van der Smagt, C. Castellini, 2012, 2012 4th IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob).

Deterministic Automatic Segmentation in MRI, CT and CTA: A Robust Method Based on Anatomical Structures Modelling and Local Recursive Intensity Analysis

Manfredo Atzori, Gianluca Rambaldelli, Paolo Brambilla, 2009 .

Live ECG readings using Google Glass in emergency situations

Manfredo Atzori, Henning Müller, Roger Schaer, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Control Capabilities of Myoelectric Robotic Prostheses by Hand Amputees: A Scientific Research and Market Overview

Manfredo Atzori, Henning Müller, M. Atzori, 2015, Front. Syst. Neurosci..

Comparison of six electromyography acquisition setups on hand movement classification tasks

Manfredo Atzori, Henning Müller, Monica Reggiani, 2017, PloS one.

Combining Unsupervised Feature Learning and Riesz Wavelets for Histopathology Image Representation: Application to Identifying Anaplastic Medulloblastoma

Fabio A. González, Henning Müller, Manfredo Atzori, 2015, MICCAI.

Kinematic synergies of hand grasps: a comprehensive study on a large publicly available dataset

Alessandro Scano, Manfredo Atzori, Henning Müller, 2019, Journal of NeuroEngineering and Rehabilitation.

Muscle Synergy Analysis of a Hand-Grasp Dataset: A Limited Subset of Motor Modules May Underlie a Large Variety of Grasps

Alessandro Scano, Manfredo Atzori, Henning Müller, 2018, Front. Neurorobot..

Multimodal Schizophrenia Detection by Multiclassification Analysis

Manfredo Atzori, Michele Tansella, Manuele Bicego, 2011, CIARP.

Natural control capabilities of robotic hands by hand amputated subjects

Barbara Caputo, Manfredo Atzori, Henning Müller, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Semi-weakly Supervised Learning for Prostate Cancer Image Classification with Teacher-Student Deep Convolutional Networks

Manfredo Atzori, Henning Müller, Sebastian Otálora, 2020, iMIMIC/MIL3iD/LABELS@MICCAI.

Deep Learning-Based Retrieval System for Gigapixel Histopathology Cases and the Open Access Literature

Henning Müller, Manfredo Atzori, Roger Schaer, 2019, Journal of pathology informatics.

Analysis of Histopathology Images

Henning Müller, Manfredo Atzori, Oscar Jimenez-del-Toro, 2017 .

Repeatability of grasp recognition for robotic hand prosthesis control based on sEMG data

Barbara Caputo, Manfredo Atzori, Henning Müller, 2017, 2017 International Conference on Rehabilitation Robotics (ICORR).

Classification of hand movements in amputated subjects by sEMG and accelerometers

Barbara Caputo, Manfredo Atzori, Henning Müller, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Electromyography data for non-invasive naturally-controlled robotic hand prostheses

Manfredo Atzori, Henning Müller, Barbara Caputo, 2014, Scientific Data.

Image Magnification Regression Using DenseNet for Exploiting Histopathology Open Access Content

Manfredo Atzori, Henning Müller, Vincent Andrearczyk, 2018, COMPAY/OMIA@MICCAI.

The Ninapro database: A resource for sEMG naturally controlled robotic hand prosthetics

Manfredo Atzori, Henning Müller, M. Atzori, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Few-shot weakly supervised detection and retrieval in histopathology whole-slide images

Manfredo Atzori, Francesco Ciompi, Jeroen van der Laak, 2021, Medical Imaging.

H&E-adversarial network: a convolutional neural network to learn stain-invariant features through Hematoxylin & Eosin regression

Stéphane Marchand-Maillet, Manfredo Atzori, Sebastian Otálora, 2021, 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW).

Semi-supervised training of deep convolutional neural networks with heterogeneous data and few local annotations: An experiment on prostate histopathology image classification

Manfredo Atzori, Sebastian Otálora, Niccolò Marini, 2021, Medical Image Anal..

Multi_Scale_Tools: A Python Library to Exploit Multi-Scale Whole Slide Images

Manfredo Atzori, Jeroen van der Laak, Damian Podareanu, 2021, Frontiers in Computer Science.

Combining weakly and strongly supervised learning improves strong supervision in Gleason pattern classification

Manfredo Atzori, Sebastian Otálora, Niccolò Marini, 2021, BMC Medical Imaging.

Experiences in the creation of an electromyography database to help hand amputated persons.

Barbara Caputo, Manfredo Atzori, Anne-Gabrielle Mittaz Hager, 2012, Studies in health technology and informatics.

Electromyography Low Pass Filtering Effects on the Classification of Hand Movements in Amputated Subjects

Manfredo Atzori, Henning Müller, 2014 .