E-LIB Suche - Ergebnisse für: Schlegl, Thomas

1

A data-driven approach for the partial reconstruction of in..:

Broll, Alexander ; Rosentritt, Martin ; Schlegl, Thomas.
Frontiers in Artificial Intelligence. 7 (2024) - p. , 2024

Link: https://doi.org/10.3389/..

2

A scalable machine learning system for anomaly detection in..:

Schlegl, Thomas , 2023

Link: https://nbn-resolving.de..

3

Multiple instance learning based classification of diabetic..:

Matten, Philipp ; Scherer, Julius ; Schlegl, Thomas...
Scientific Reports. 13 (2023) 1 - p. , 2023

Link: https://doi.org/10.1038/..

4

Association of Diabetic Lesions and Retinal Nonperfusion Us..:

Stino, Heiko ; Huber, Kim Lien ; Niederleithner, Michael...
Ophthalmology Retina. 7 (2023) 12 - p. 1042-1050 , 2023

Link: https://doi.org/10.1016/..

5

Microaneurysm detection using high‐speed megahertz optical ..:

Huber, Kim Lien ; Stino, Heiko ; Schlegl, Thomas...
Acta Ophthalmologica. 102 (2023) 5 - p. , 2023

Link: https://doi.org/10.1111/..

6

Unsupervised anomaly detection in unbalanced time series da..:

West, Nikolai ; Schlegl, Thomas ; Deuse, Jochen
Procedia CIRP. 120 (2023) - p. 1185-1190 , 2023

Link: https://doi.org/10.1016/..

7

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

Nienhaus, Jonas ; Matten, Philipp ; Britten, Anja...
Scientific Reports. 13 (2023) 1 - p. , 2023

Link: https://doi.org/10.1038/..

8

Automated search of process control limits for fault detect..:

Schlegl, Thomas ; Tomaselli, Domenico ; Schlegl, Stefan..
Journal of Process Control. 117 (2022) - p. 52-64 , 2022

Link: https://doi.org/10.1016/..

9

Adaptive similarity search for the retrieval of rare events..:

Schlegl, Thomas ; Schlegl, Stefan ; Tomaselli, Domenico..
Advanced Engineering Informatics. 52 (2022) - p. 101629 , 2022

Link: https://doi.org/10.1016/..

10

Detection of diabetic neovascularisation using single-captu..:

Stino, Heiko ; Niederleithner, Michael ; Iby, Johannes...
British Journal of Ophthalmology. 108 (2022) 1 - p. 91-97 , 2022

Link: https://doi.org/10.1136/..

11

Scalable anomaly detection in manufacturing systems using a..:

Schlegl, Thomas ; Schlegl, Stefan ; West, Nikolai.
Procedia CIRP. 104 (2021) - p. 1547-1552 , 2021

Link: https://doi.org/10.1016/..

12

Multidimensional criticality assessment of metal requiremen..:

Bongartz, Lisa ; Shammugam, Shivenes ; Gervais, Estelle.
Journal of Cleaner Production. 292 (2021) - p. 126056 , 2021

Link: https://doi.org/10.1016/..

13

Raw material needs for the large-scale deployment of photov..:

Gervais, Estelle ; Shammugam, Shivenes ; Friedrich, Lorenz.
Renewable and Sustainable Energy Reviews. 137 (2021) - p. 110589 , 2021

Link: https://doi.org/10.1016/..

14

Deep learning detection and quantification of pneumothorax ..:

Röhrich, Sebastian ; Schlegl, Thomas ; Bardach, Constanze..
European Radiology Experimental. 4 (2020) 1 - p. , 2020

Link: https://doi.org/10.1186/..

15

Weakly-Supervised Learning for Multimodal Human Activity Re..:

, In: 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS),

Pohlt, Clemens ; Schlegl, Thomas ; Wachsmuth, Sven - p. 8381-8386 , 2020

Link: https://doi.org/10.1109/..