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Fully Automated Detection and Quantification of Macular Fluid in OCT Using Deep Learning

Ophthalmology (Rochester, Minn.), 2018-04, Vol.125 (4), p.549-558

2018

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Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT

IEEE transactions on medical imaging, 2020-01, Vol.39 (1), p.87-98

2020

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A data-driven approach for the partial reconstruction of individual human molar teeth using generative deep learning

Frontiers in artificial intelligence, 2024-04, Vol.7, p.1339193-1339193

2024

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Multiple instance learning based classification of diabetic retinopathy in weakly-labeled widefield OCTA en face images

Scientific reports, 2023-05, Vol.13 (1), p.8713-8713, Article 8713

2023

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Live 4D-OCT denoising with self-supervised deep learning

Scientific reports, 2023-04, Vol.13 (1), p.5760-5760, Article 5760

2023

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Virtual whiskers - Highly responsive robot collision avoidance

2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013, p.5373-5379

2013

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Deep learning detection and quantification of pneumothorax in heterogeneous routine chest computed tomography

European radiology experimental, 2020-04, Vol.4 (1), p.26-26, Article 26

2020

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Combined Capacitive and Ultrasonic Distance Measurement for Automotive Applications

IEEE sensors journal, 2011-11, Vol.11 (11), p.2636-2642

2011

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f-AnoGAN: Fast unsupervised anomaly detection with generative adversarial networks

Medical image analysis, 2019-05, Vol.54, p.30-44

2019

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Raw material needs for the large-scale deployment of photovoltaics – Effects of innovation-driven roadmaps on material constraints until 2050

Renewable & sustainable energy reviews, 2021-03, Vol.137, p.110589, Article 110589

2021

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Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery

Information Processing in Medical Imaging, p.146-157

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Multidimensional criticality assessment of metal requirements for lithium-ion batteries in electric vehicles and stationary storage applications in Germany by 2050

Journal of cleaner production, 2021-04, Vol.292, p.126056, Article 126056

2021

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Raw metal needs and supply risks for the development of wind energy in Germany until 2050

Journal of cleaner production, 2019-06, Vol.221, p.738-752

2019

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Automated search of process control limits for fault detection in time series data

Journal of process control, 2022-09, Vol.117, p.52-64

2022

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Adaptive similarity search for the retrieval of rare events from large time series databases

Advanced engineering informatics, 2022-04, Vol.52, p.101629, Article 101629

2022

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Causality between metal prices: Is joint consumption a more important determinant than joint production of main and by-product metals?

Resources policy, 2019-06, Vol.61, p.49-66

2019

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Unsupervised Identification of Disease Marker Candidates in Retinal OCT Imaging Data

IEEE transactions on medical imaging, 2019-04, Vol.38 (4), p.1037-1047

2019

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Detection of diabetic neovascularisation using single-capture 65°-widefield optical coherence tomography angiography

British journal of ophthalmology, 2024-01, Vol.108 (1), p.91-97

2024

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Predicting Semantic Descriptions from Medical Images with Convolutional Neural Networks

Information Processing in Medical Imaging, p.437-448

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Unsupervised anomaly detection in unbalanced time series data from screw driving processes using k-means clustering

Procedia CIRP, 2023, Vol.120, p.1185-1190

2023

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Mensch-Roboter-Arbeitabläufe methodisch entwickeln

Atp-Edition : automatisierungstechnische Praxis, 2017-05, Vol.59 (5), p.34

2017

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Mensch-Roboter-Arbeitabläufe methodisch entwickeln

Atp-Edition : automatisierungstechnische Praxis, 2017-05, Vol.59 (5), p.34-42

2017

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Computational image analysis for prognosis determination in DME

Vision research (Oxford), 2017-10, Vol.139, p.204-210

2017

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Opportunities and challenges of high renewable energy deployment and electricity exchange for North Africa and Europe – Scenarios for power sector and transmission infrastructure in 2030 and 2050

Renewable energy, 2016-03, Vol.87, p.130-144

2016

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Machine Learning to Analyze the Prognostic Value of Current Imaging Biomarkers in Neovascular Age-Related Macular Degeneration

Ophthalmology retina, 2018-01, Vol.2 (1), p.24-30

2018

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Fully Automated Detection and Quantification of Macular Fluid in OCT Using Deep Learning

Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT

A data-driven approach for the partial reconstruction of individual human molar teeth using generative deep learning

Multiple instance learning based classification of diabetic retinopathy in weakly-labeled widefield OCTA en face images

Live 4D-OCT denoising with self-supervised deep learning

Virtual whiskers - Highly responsive robot collision avoidance

Deep learning detection and quantification of pneumothorax in heterogeneous routine chest computed tomography

Combined Capacitive and Ultrasonic Distance Measurement for Automotive Applications

f-AnoGAN: Fast unsupervised anomaly detection with generative adversarial networks

Raw material needs for the large-scale deployment of photovoltaics – Effects of innovation-driven roadmaps on material constraints until 2050

Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery

Multidimensional criticality assessment of metal requirements for lithium-ion batteries in electric vehicles and stationary storage applications in Germany by 2050

Raw metal needs and supply risks for the development of wind energy in Germany until 2050

Automated search of process control limits for fault detection in time series data

Adaptive similarity search for the retrieval of rare events from large time series databases

Causality between metal prices: Is joint consumption a more important determinant than joint production of main and by-product metals?

Unsupervised Identification of Disease Marker Candidates in Retinal OCT Imaging Data

Detection of diabetic neovascularisation using single-capture 65°-widefield optical coherence tomography angiography

Predicting Semantic Descriptions from Medical Images with Convolutional Neural Networks

Unsupervised anomaly detection in unbalanced time series data from screw driving processes using k-means clustering

Mensch-Roboter-Arbeitabläufe methodisch entwickeln

Mensch-Roboter-Arbeitabläufe methodisch entwickeln

Computational image analysis for prognosis determination in DME

Opportunities and challenges of high renewable energy deployment and electricity exchange for North Africa and Europe – Scenarios for power sector and transmission infrastructure in 2030 and 2050

Machine Learning to Analyze the Prognostic Value of Current Imaging Biomarkers in Neovascular Age-Related Macular Degeneration

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