M.Sc.

Ina Laube

Research Scientist

 107
 +49 241 80 22917
 Ina.Laube@lfb.rwth-aachen.de


Curriculum Vitae

Jun 2020 – today
 Research Scientist, Institute of Imaging & Computer Vision, RWTH Aachen University, Germany
Oct 2017 – May 2020 M.Sc. Medical Informatics, Beuth University of Applied Sciences, Berlin, Germany
Jul 2016 – Jul 2019 Freelance Software Engineer
Oct 2013 – Jun 2016 Full Stack Software Engineer, Aixigo AG, Aachen, Germany
Oct 2010 – Sep 2013 B.Sc. Mathematics, RWTH Aachen University, Germany

Forschungsgebiet

Point Cloud Registration

Publications

 

Books and Book Chapters

2022

D. Eschweiler, I. Laube and J. Stegmaier
Spatiotemporal Image Generation for Embryomics Applications
In: Biomedical Image Synthesis and Simulation: Methods and Applications

Journal Publications

2024

Dennis Eschweiler, Rüveyda Yilmaz, Matisse Baumann, Ina Laube, Rijo Roy, Abin Jose, Daniel Brückner and Johannes Stegmaier
Denoising Diffusion Probabilistic Models for Generation of Realistic Fully-Annotated Microscopy Image Data Sets
In: PLOS Computational Biology 20 (2)

Conference Publications

2023

Zhu Chen, Ina Laube and Johannes Stegmaier
Unsupervised Learning for Feature Extraction and Temporal Alignment of 3D+t Point Clouds of Zebrafish Embryos
In: International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI)

2023

Abin Jose, Rijo Roy, Dennis Eschweiler, Ina Laube, Reza Azad, Daniel Moreno-Andres and Johannes Stegmaier
End-to-end classification of cell-cycle stages with center-cell focus tracker using recurrent neural networks
In: International Conference on Acoustics, Speech and Signal Processing (ICASSP)

2022

Abin Jose, Qi Mei, Dennis Eschweiler, Ina Laube and Johannes Stegmaier
Linear Discriminant Analysis Metric Learning Using Siamese Neural Networks
In: International Conference on Image Processing (ICIP)

2021

Philipp Gräbel, Ina Laube, Martina Crysandt, Reinhild Herwartz, Melanie Hoffmann, Barbara M. Klinkhammer, Peter Boor, Tim H. Brümmendorf and Dorit Merhof
Surrounding Cell Suppression for Unsupervised Representation Learning in Hematological Cell Classification
In: IEEE International Symposium on Biomedical Imaging (ISBI)

2021

Philipp Gräbel, Ina Laube, Martina Crysandt, Reinhild Herwartz, Melanie Hoffmann, Barbara M. Klinkhammer, Peter Boor, Tim H. Brümmendorf and Dorit Merhof
Rotation invariance for unsupervised cell representation learning
In: Bildverarbeitung fuer die Medizin (BVM)