E-LIB Suche - Ergebnisse für: Reischl, Markus

1

A review of adaptable conventional image processing pipelin..:

Münke, Friedrich Rieken ; Schützke, Jan ; Berens, Felix.
Machine Vision and Applications. 35 (2024) 2 - p. , 2024

Link: https://doi.org/10.1007/..

2

A multiparametric analysis including single-cell and subcel..:

Vitacolonna, Mario ; Bruch, Roman ; Agaçi, Ane...
Frontiers in Bioengineering and Biotechnology. 12 (2024) - p. , 2024

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

3

Modular Platform for Automated Characterisation of Printed ..:

, In: 2024 Symposium on Design, Test, Integration and Packaging of MEMS/MOEMS (DTIP),

Koker, Liane ; Reichert, Klaus-Martin ; Gengenbach, Ulrich.. - p. 1-6 , 2024

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

4

Uncertainty-aware particle segmentation for electron micros..:

Rettenberger, Luca ; Szymanski, Nathan J. ; Zeng, Yan...
npj Computational Materials. 10 (2024) 1 - p. , 2024

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

5

Image-based identification of optical quality and functiona..:

Polomoshnov, Maxim ; Reichert, Klaus-Martin ; Rettenberger, Luca...
Journal of Intelligent Manufacturing. , 2024

Link: https://doi.org/10.1007/..

6

Surface-Patterned DNA Origami Rulers Reveal Nanoscale Dista..:

Mayer, Ivy ; Karimian, Tina ; Gordiyenko, Klavdiya...
Nano Letters. 24 (2024) 5 - p. 1611-1619 , 2024

Link: https://doi.org/10.1021/..

7

Fault Detection in 3D-Printing with Deep Learning:

, In: 2024 IEEE International Conference on Consumer Electronics (ICCE),

Rettenberger, Luca ; Beyer, Nils ; Sieber, Ingo. - p. 1-4 , 2024

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

8

Adaptive Training for Robust Object Detection in Autonomous..:

Berens, Felix ; Koschinski, Yasin ; Badami, Manjunath Kristappa...
IEEE Transactions on Intelligent Vehicles. , 2024

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

9

Using the High-Entropy Approach to Obtain Multimetal Oxide ..:

Phan-Xuan, Thuong ; Schweidler, Simon ; Hirte, Steffen...
ACS Nano. 18 (2024) 29 - p. 19024-19037 , 2024

Link: https://doi.org/10.1021/..

10

Automated Style-Aware Selection of Annotated Pre-Training D..:

, In: 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI),

Molina-Moreno, Miguel ; Schilling, Marcel P. ; Reischl, Markus. - p. 1-5 , 2023

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

11

Mask R-CNN Outperforms U-Net in Instance Segmentation for O..:

Rettenberger, Luca ; Rieken Münke, Friedrich ; Bruch, Roman.
Current Directions in Biomedical Engineering. 9 (2023) 1 - p. 335-338 , 2023

Link: https://doi.org/10.1515/..

12

Accelerating Materials Discovery: Automated Identification ..:

Schuetzke, Jan ; Schweidler, Simon ; Muenke, Friedrich R....
Advanced Intelligent Systems. 6 (2023) 3 - p. , 2023

Link: https://doi.org/10.1002/..

13

Categorization and Evaluation Methods for Control Strategie..:

Hetto, Tom ; Schulz, Stefan ; Reischl, Markus
IEEE Access. 11 (2023) - p. 52501-52508 , 2023

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

14

Self-Supervised Learning for Annotation Efficient Biomedica..:

Rettenberger, Luca ; Schilling, Marcel ; Elser, Stefan..
IEEE Transactions on Biomedical Engineering. 70 (2023) 9 - p. 2519-2528 , 2023

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

15

Improving Generative Adversarial Networks for Patch-Based U..:

Böhland, Moritz ; Bruch, Roman ; Bäuerle, Simon..
IEEE Access. 11 (2023) - p. 127895-127906 , 2023

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