Author

Johanna Hoppe

Leibniz Institute for Solid State and Materials Research

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioengineering· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:deep learning· 2 Assay:imaging· 2

Frequent Co-Authors

David Castellanos RoblesiD· 2 shared Mariana Medina‐SáncheziD· 2 shared Richard NauberiD· 2 shared Jürgen W. CzarskeiD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

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2 shared papersBioengineering

David Castellanos RoblesORCID

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2 papers

Recent·Most cited

BioengineeringbioRxivPreprintAug 13, 2025

Influence of hyperparameters on the performance of deep learning-based microrobotic localization under phantom tissue

Johanna Hoppe, Richard Nauber, David Castellanos Robles…·Mariana Medina‐Sánchez

This study evaluates how hyperparameters and model versions affect deep learning-based tracking of microrobots in phantom tissue, finding that YOLOv9 outperforms YOLOv8 and adjusting loss functions improves performance.

DOI 10.1101/2025.08.13.670026

imagingdeep learning

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BioengineeringInternational Conference on Manipulation, Automation and Robotics at Small Scales (MARSS)Peer-reviewedJul 1, 2024

Photoacoustics-guided Real-Time Closed-loop Control of Magnetic Microrobots through Deep Learning

Richard Nauber, Johanna Hoppe, David Castellanos Robles, Mariana Medina‐Sánchez

This paper presents a real-time closed-loop control system for magnetic microrobots using photoacoustic imaging and deep learning, showing improved tracking accuracy compared to ultrasound.

17 citationstop 1%

imagingdeep learning

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