Tim Prangemeier

According to our database, Tim Prangemeier authored at least 11 papers between 2018 and 2024.

Collaborative distances:

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

2024

Deep Video Codec Control for Vision Models.

Christoph Reich, Biplob Debnath, Deep Patel, Tim Prangemeier, Daniel Cremers, Srimat Chakradhar

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Deep Video Codec Control.

Christoph Reich, Biplob Debnath, Deep Patel, Tim Prangemeier, Srimat Chakradhar

CoRR, 2023

The TYC Dataset for Understanding Instance-Level Semantics and Motions of Cells in Microstructures.

Christoph Reich, Tim Prangemeier, Heinz Koeppl

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

An Instance Segmentation Dataset of Yeast Cells in Microstructures.

Christoph Reich, Tim Prangemeier, André O. Françani, Heinz Koeppl

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022

Histopathological Image Classification based on Self-Supervised Vision Transformer and Weak Labels.

Ahmet Gokberk Gul, Özdemir Çetin, Christoph Reich, Tim Prangemeier, Nadine Flinner, Heinz Koeppl

CoRR, 2022

Yeast cell segmentation in microstructured environments with deep learning.

Tim Prangemeier, Christian Wildner, André O. Françani, Christoph Reich, Heinz Koeppl

Biosyst., 2022

2021

Multi-StyleGAN: Towards Image-Based Simulation of Time-Lapse Live-Cell Microscopy.

Christoph Reich, Tim Prangemeier, Christian Wildner, Heinz Koeppl

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

OSS-Net: Memory Efficient High Resolution Semantic Segmentation of 3D Medical Data.

Christoph Reich, Tim Prangemeier, Özdemir Çetin, Heinz Koeppl

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Multiclass Yeast Segmentation in Microstructured Environments with Deep Learning.

Tim Prangemeier, Christian Wildner, André O. Françani, Christoph Reich, Heinz Koeppl

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2020

Attention-Based Transformers for Instance Segmentation of Cells in Microstructures.

Tim Prangemeier, Christoph Reich, Heinz Koeppl

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2018

Maximizing information gain for the characterization of biomolecular circuits.

Tim Prangemeier, Christian Wildner, Maleen Hanst, Heinz Koeppl

Proceedings of the 5th ACM International Conference on Nanoscale Computing and Communication, 2018