Search Results - "Müller, Henning"
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1
Comparison of six electromyography acquisition setups on hand movement classification tasks
Published in PloS one (12-10-2017)“…Hand prostheses controlled by surface electromyography are promising due to the non-invasive approach and the control capabilities offered by machine learning…”
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2
Characterization of a Benchmark Database for Myoelectric Movement Classification
Published in IEEE transactions on neural systems and rehabilitation engineering (01-01-2015)“…In this paper, we characterize the Ninapro database and its use as a benchmark for hand prosthesis evaluation. The database is a publicly available resource…”
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3
Electromyography data for non-invasive naturally-controlled robotic hand prostheses
Published in Scientific data (23-12-2014)“…Recent advances in rehabilitation robotics suggest that it may be possible for hand-amputated subjects to recover at least a significant part of the lost hand…”
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4
The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping
Published in Radiology (01-05-2020)“…Background Radiomic features may quantify characteristics present in medical imaging. However, the lack of standardized definitions and validated reference…”
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Control Capabilities of Myoelectric Robotic Prostheses by Hand Amputees: A Scientific Research and Market Overview
Published in Frontiers in systems neuroscience (30-11-2015)“…Hand amputation can dramatically affect the capabilities of a person. Cortical reorganization occurs in the brain, but the motor and somatosensorial cortex can…”
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Assessing radiomics feature stability with simulated CT acquisitions
Published in Scientific reports (18-03-2022)“…Medical imaging quantitative features had once disputable usefulness in clinical studies. Nowadays, advancements in analysis techniques, for instance through…”
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Three-dimensional solid texture analysis in biomedical imaging: Review and opportunities
Published in Medical image analysis (01-01-2014)“…[Display omitted] •A systematic literature survey on 3D texture analysis in biomedical imaging is proposed.•The taxonomy of 3D texture analysis is formally…”
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Variability of Muscle Synergies in Hand Grasps: Analysis of Intra- and Inter-Session Data
Published in Sensors (Basel, Switzerland) (01-08-2020)“…Muscle synergy analysis is an approach to understand the neurophysiological mechanisms behind the hypothesized ability of the Central Nervous System (CNS) to…”
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CheckList for EvaluAtion of Radiomics research (CLEAR): a step-by-step reporting guideline for authors and reviewers endorsed by ESR and EuSoMII
Published in Insights into imaging (04-05-2023)“…Even though radiomics can hold great potential for supporting clinical decision-making, its current use is mostly limited to academic research, without…”
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BIAS: Transparent reporting of biomedical image analysis challenges
Published in Medical image analysis (01-12-2020)“…•First guideline for reporting biomedical image analysis challenges.•Includes checklist for authors and reviewers. The BIAS statement aims to improve the…”
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Why rankings of biomedical image analysis competitions should be interpreted with care
Published in Nature communications (06-12-2018)“…International challenges have become the standard for validation of biomedical image analysis methods. Given their scientific impact, it is surprising that a…”
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Head-mounted eye gaze tracking devices: An overview of modern devices and recent advances
Published in Journal of rehabilitation and assistive technologies engineering (01-01-2018)“…An increasing number of wearable devices performing eye gaze tracking have been released in recent years. Such devices can lead to unprecedented opportunities…”
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13
Repeatability of grasp recognition for robotic hand prosthesis control based on sEMG data
Published in 2017 International Conference on Rehabilitation Robotics (ICORR) (01-07-2017)“…Control methods based on sEMG obtained promising results for hand prosthetics. Control system robustness is still often inadequate and does not allow the…”
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Revealing Tumor Habitats from Texture Heterogeneity Analysis for Classification of Lung Cancer Malignancy and Aggressiveness
Published in Scientific reports (14-03-2019)“…We propose an approach for characterizing structural heterogeneity of lung cancer nodules using Computed Tomography Texture Analysis (CTTA). Measures of…”
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A quantitative taxonomy of human hand grasps
Published in Journal of neuroengineering and rehabilitation (15-02-2019)“…A proper modeling of human grasping and of hand movements is fundamental for robotics, prosthetics, physiology and rehabilitation. The taxonomies of hand…”
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16
A large calibrated database of hand movements and grasps kinematics
Published in Scientific data (09-01-2020)“…Modelling hand kinematics is a challenging problem, crucial for several domains including robotics, 3D modelling, rehabilitation medicine and neuroscience…”
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Kinematic synergies of hand grasps: a comprehensive study on a large publicly available dataset
Published in Journal of neuroengineering and rehabilitation (28-05-2019)“…Hand grasp patterns require complex coordination. The reduction of the kinematic dimensionality is a key process to study the patterns underlying hand usage…”
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Questioning Domain Adaptation in Myoelectric Hand Prostheses Control: An Inter- and Intra-Subject Study
Published in Sensors (Basel, Switzerland) (11-11-2021)“…One major challenge limiting the use of dexterous robotic hand prostheses controlled via electromyography and pattern recognition relates to the important…”
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Lattice Boltzmann method for antiplane shear deformation: non-lattice-conforming boundary conditions
Published in Archive of applied mechanics (1991) (01-11-2022)“…In this work, two different approaches to treat boundary conditions in a lattice Boltzmann method (LBM) for the wave equation are presented. We interpret the…”
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Staining Invariant Features for Improving Generalization of Deep Convolutional Neural Networks in Computational Pathology
Published in Frontiers in bioengineering and biotechnology (23-08-2019)“…One of the main obstacles for the implementation of deep convolutional neural networks (DCNNs) in the clinical pathology workflow is their low capability to…”
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