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Cohort-based federated learning services for industrial collaboration on the edge

Journal of parallel and distributed computing, 2022-09, Vol.167, p.64-76

2022

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Accuracy and longitudinal reproducibility of quantitative femorotibial cartilage measures derived from automated U-Net-based segmentation of two different MRI contrasts: data from the osteoarthritis initiative healthy reference cohort

Magma (New York, N.Y.), 2021-06, Vol.34 (3), p.337-354

2021

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Raising Energy Efficiency of High-Head Drinking Water Pumping Schemes in Hilly India – Massive Potential, Complex Challenges

Journal of Sustainable Development of Energy, Water and Environment Systems, 2014-06, Vol.2 (2), p.118-126

2014

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Clinical evaluation of fully automated thigh muscle and adipose tissue segmentation using a U-Net deep learning architecture in context of osteoarthritic knee pain

Magma (New York, N.Y.), 2020-08, Vol.33 (4), p.483-493

2020

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Detection of Differences in Longitudinal Cartilage Thickness Loss Using a Deep‐Learning Automated Segmentation Algorithm: Data From the Foundation for the National Institutes of Health Biomarkers Study of the Osteoarthritis Initiative

Arthritis care & research (2010), 2022-06, Vol.74 (6), p.929-936

2022

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Muscle Function Tests as Supportive Outcome Measures for Performance-Based and Self-Reported Physical Function in Patients With Knee Osteoarthritis: Exploratory Analysis of Baseline Data From a Randomized Trial

Journal of strength and conditioning research, 2022-09, Vol.36 (9), p.2635-2642

2022

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Local MRI-based measures of thigh adipose tissue derived from fully automated deep convolutional neural network-based segmentation show a comparable responsiveness to bidirectional change in body weight as from quality controlled manual segmentation

Annals of anatomy, 2022-02, Vol.240, p.151866-151866, Article 151866

2022

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Brief Report: Loss of Muscle Strength Prior to Knee Replacement: A Question of Anatomic Cross‐Sectional Area or Specific Strength?

Arthritis & rheumatology (Hoboken, N.J.), 2018-02, Vol.70 (2), p.222-229

2018

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Loss of muscle strength prior to knee replacement: a question of anatomical cross-sectional area or specific-strength?

Arthritis & rheumatology (Hoboken, N.J.), 2017-12, Vol.70 (2), p.222-229

2017

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Mesenchymal iron deposition is associated with adverse long‐term outcome in non‐alcoholic fatty liver disease

Liver international, 2020-08, Vol.40 (8), p.1872-1882

2020

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Moderate Physical Activity and Prevention of Cartilage Loss in People With Knee Osteoarthritis: Data From the Osteoarthritis Initiative

Arthritis care & research (2010), 2019-02, Vol.71 (2), p.218-226

2019

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Effects of neuromuscular control and strengthening exercises on MRI-measured thigh tissue composition and muscle properties in people with knee osteoarthritis – an exploratory secondary analysis from a randomized controlled trial

Seminars in arthritis and rheumatism, 2024-04, Vol.65, p.152390-152390, Article 152390

2024

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Validation of an active shape model-based semi-automated segmentation algorithm for the analysis of thigh muscle and adipose tissue cross-sectional areas

Magma (New York, N.Y.), 2017-10, Vol.30 (5), p.489-503

2017

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Industrial Federated Learning – Requirements and System Design

Highlights in Practical Applications of Agents, Multi-Agent Systems, and Trust-worthiness. The PAAMS Collection, p.42-53

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Transfer Learning Strategies for Anomaly Detection in IoT Vibration Data

IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society, 2021, p.1-6

2021

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Combining Heterogeneously Labeled Datasets For Training Segmentation Networks

Machine Learning in Medical Imaging, 2018, Vol.11046, p.276-284

2018

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Should I Sample it or Not? Improving Quality Assurance Efficiency Through Smart Active Sampling

IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society, 2023, p.1-6

2023

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Federated Learning for Predictive Maintenance and Quality Inspection in Industrial Applications

2023 Prognostics and Health Management Conference (PHM), 2023, p.312-317

2023

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Agreement and accuracy of fully automated morphometric femorotibial cartilage analysis in radiographic knee osteoarthritis

Osteoarthritis imaging, 2023-06, Vol.3 (2), p.100156, Article 100156

2023

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Comparison of Clustering Algorithms for Statistical Features of Vibration Data Sets

Data Science—Analytics and Applications, p.3-11

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Autoencoder Based Anomaly Detection and Explained Fault Localization in Industrial Cooling Systems

PHM Society European Conference, 2022-06, Vol.7 (1), p.200-210

2022

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Minimal-Configuration Anomaly Detection for IIoT Sensors: A Systematic Analysis of Deep Learning Approaches

Data Science – Analytics and Applications, p.86-89

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Towards Robust and Transferable IIoT Sensor based Anomaly Classification using Artificial Intelligence

Data Science – Analytics and Applications, p.14-19

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Evaluation of Hyperparameter-Optimization Approaches in an Industrial Federated Learning System

Data Science – Analytics and Applications, p.6-13

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Cohort-based federated learning services for industrial collaboration on the edge

Accuracy and longitudinal reproducibility of quantitative femorotibial cartilage measures derived from automated U-Net-based segmentation of two different MRI contrasts: data from the osteoarthritis initiative healthy reference cohort

Raising Energy Efficiency of High-Head Drinking Water Pumping Schemes in Hilly India – Massive Potential, Complex Challenges

Clinical evaluation of fully automated thigh muscle and adipose tissue segmentation using a U-Net deep learning architecture in context of osteoarthritic knee pain

Detection of Differences in Longitudinal Cartilage Thickness Loss Using a Deep‐Learning Automated Segmentation Algorithm: Data From the Foundation for the National Institutes of Health Biomarkers Study of the Osteoarthritis Initiative

Muscle Function Tests as Supportive Outcome Measures for Performance-Based and Self-Reported Physical Function in Patients With Knee Osteoarthritis: Exploratory Analysis of Baseline Data From a Randomized Trial

Local MRI-based measures of thigh adipose tissue derived from fully automated deep convolutional neural network-based segmentation show a comparable responsiveness to bidirectional change in body weight as from quality controlled manual segmentation

Brief Report: Loss of Muscle Strength Prior to Knee Replacement: A Question of Anatomic Cross‐Sectional Area or Specific Strength?

Loss of muscle strength prior to knee replacement: a question of anatomical cross-sectional area or specific-strength?

Mesenchymal iron deposition is associated with adverse long‐term outcome in non‐alcoholic fatty liver disease

Moderate Physical Activity and Prevention of Cartilage Loss in People With Knee Osteoarthritis: Data From the Osteoarthritis Initiative

Effects of neuromuscular control and strengthening exercises on MRI-measured thigh tissue composition and muscle properties in people with knee osteoarthritis – an exploratory secondary analysis from a randomized controlled trial

Validation of an active shape model-based semi-automated segmentation algorithm for the analysis of thigh muscle and adipose tissue cross-sectional areas

Industrial Federated Learning – Requirements and System Design

Transfer Learning Strategies for Anomaly Detection in IoT Vibration Data

Combining Heterogeneously Labeled Datasets For Training Segmentation Networks

Should I Sample it or Not? Improving Quality Assurance Efficiency Through Smart Active Sampling

Federated Learning for Predictive Maintenance and Quality Inspection in Industrial Applications

Agreement and accuracy of fully automated morphometric femorotibial cartilage analysis in radiographic knee osteoarthritis

Comparison of Clustering Algorithms for Statistical Features of Vibration Data Sets

Autoencoder Based Anomaly Detection and Explained Fault Localization in Industrial Cooling Systems

Minimal-Configuration Anomaly Detection for IIoT Sensors: A Systematic Analysis of Deep Learning Approaches

Towards Robust and Transferable IIoT Sensor based Anomaly Classification using Artificial Intelligence

Evaluation of Hyperparameter-Optimization Approaches in an Industrial Federated Learning System

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