Ina Laube

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 6

Top Topics

Unsupervised Learning

Discriminant Analysis

Probabilistic Modeling

Top Venues

Bildverarbeitung für die Medizin

Publications

Dennis Eschweiler, Rüveyda Yilmaz, Matisse Baumann, Ina Laube, Rijo Roy, Abin Jose, Daniel Brückner, Johannes Stegmaier
Denoising diffusion probabilistic models for generation of realistic fully-annotated microscopy image datasets. PLoS Comput. Biol. 20 (2) (2024)
Zhu Chen, Ina Laube, Johannes Stegmaier
Unsupervised Learning for Feature Extraction and Temporal Alignment of 3D+t Point Clouds of Zebrafish Embryos. MICCAI (8) (2023)
Abin Jose, Rijo Roy, Dennis Eschweiler, Ina Laube, Reza Azad, Daniel Moreno-Andrés, Johannes Stegmaier
End-to-End Classification of Cell-Cycle Stages with Center-Cell Focus Tracker Using Recurrent Neural Networks. ICASSP (2023)
Abin Jose, Qi Mei, Dennis Eschweiler, Ina Laube, Johannes Stegmaier
Linear Discriminant Analysis Metric Learning Using Siamese Neural Networks. ICIP (2022)
Philipp Gräbel, Ina Laube, Martina Crysandt, Reinhild Herwartz, Melanie Baumann, Barbara Mara Klinkhammer, Peter Boor, Tim H. Brümmendorf, Dorit Merhof
Rotation Invariance for Unsupervised Cell Representation Learning - Analysis of The Impact of Enforcing Rotation Invariance or Equivariance on Representation for Cell Classification. Bildverarbeitung für die Medizin (2021)
Philipp Gräbel, Ina Laube, Martina Crysandt, Reinhild Herwartz, Melanie Baumann, Barbara Mara Klinkhammer, Peter Boor, Tim H. Brümmendorf, Dorit Merhof
Surrounding Cell Suppression For Unsupervised Representation Learning In Hematological Cell Classification. ISBI (2021)