Maximizing information gain for the characterization of biomolecular circuits. - Tim Prangemeier; Christian Wildner; Maleen Hanst; Heinz Koeppl (NANOCOM, 2018)

Attention-Based Transformers for Instance Segmentation of Cells in Microstructures. - Tim Prangemeier; Christoph Reich; Heinz Koeppl (BIBM, 2020)

Multiclass Yeast Segmentation in Microstructured Environments with Deep Learning. - Tim Prangemeier; Christian Wildner; André O. Françani; Christoph Reich; Heinz Koeppl (CIBCB, 2020)

OSS-Net: Memory Efficient High Resolution Semantic Segmentation of 3D Medical Data. - Christoph Reich; Tim Prangemeier; Özdemir Çetin; Heinz Koeppl (BMVC, 2021)

Multi-StyleGAN: Towards Image-Based Simulation of Time-Lapse Live-Cell Microscopy. - Christoph Reich; Tim Prangemeier; Christian Wildner; Heinz Koeppl (MICCAI (8), 2021)

Histopathological image classification based on self-supervised vision transformer and weak labels. - Ahmet Gokberk Gul; Özdemir Çetin; Christoph Reich; Nadine Flinner; Tim Prangemeier; Heinz Koeppl (Digital and Computational Pathology, 2022)

Yeast cell segmentation in microstructured environments with deep learning. - Tim Prangemeier; Christian Wildner; André O. Françani; Christoph Reich; Heinz Koeppl (Biosyst., 2022)

An Instance Segmentation Dataset of Yeast Cells in Microstructures. - Christoph Reich; Tim Prangemeier; André O. Françani; Heinz Koeppl (EMBC, 2023)

The TYC Dataset for Understanding Instance-Level Semantics and Motions of Cells in Microstructures. - Christoph Reich; Tim Prangemeier; Heinz Koeppl (ICCV (Workshops), 2023)

Deep Video Codec Control. - Christoph Reich; Biplob Debnath; Deep Patel; Tim Prangemeier; Srimat Chakradhar (CoRR, 2023)

Deep Video Codec Control for Vision Models. - Christoph Reich; Biplob Debnath; Deep Patel; Tim Prangemeier; Daniel Cremers; Srimat Chakradhar (CVPR Workshops, 2024)