Ina Laube

According to our database, Ina Laube authored at least 6 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Denoising diffusion probabilistic models for generation of realistic fully-annotated microscopy image datasets.

Dennis Eschweiler, Rüveyda Yilmaz, Matisse Baumann, Ina Laube, Rijo Roy, Abin Jose, Daniel Brückner, Johannes Stegmaier

PLoS Comput. Biol., February, 2024

2023

Unsupervised Learning for Feature Extraction and Temporal Alignment of 3D+t Point Clouds of Zebrafish Embryos.

Zhu Chen, Ina Laube, Johannes Stegmaier

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

End-to-End Classification of Cell-Cycle Stages with Center-Cell Focus Tracker Using Recurrent Neural Networks.

Abin Jose, Rijo Roy, Dennis Eschweiler, Ina Laube, Reza Azad, Daniel Moreno-Andrés, Johannes Stegmaier

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Linear Discriminant Analysis Metric Learning Using Siamese Neural Networks.

Abin Jose, Qi Mei, Dennis Eschweiler, Ina Laube, Johannes Stegmaier

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021

Surrounding Cell Suppression For Unsupervised Representation Learning In Hematological Cell Classification.

Philipp Gräbel, Ina Laube, Martina Crysandt, Reinhild Herwartz, Melanie Baumann, Barbara Mara Klinkhammer, Peter Boor, Tim H. Brümmendorf, Dorit Merhof

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Rotation Invariance for Unsupervised Cell Representation Learning - Analysis of The Impact of Enforcing Rotation Invariance or Equivariance on Representation for Cell Classification.

Philipp Gräbel, Ina Laube, Martina Crysandt, Reinhild Herwartz, Melanie Baumann, Barbara Mara Klinkhammer, Peter Boor, Tim H. Brümmendorf, Dorit Merhof

Proceedings of the Bildverarbeitung für die Medizin 2021, 2021