96 citations · 163 across the 10 of their papers we have counts for
10 papers
The TYC Dataset for Understanding Instance-Level Semantics and Motions of Cells in Microstructures
Christoph Reich, Tim Prangemeier, Heinz Koeppl
Segmenting cells and tracking their motion over time is a common task in biomedical applications. However, predicting accurate instance-wise segmentation and cell motions from micr…
Deep Video Codec Control for Vision Models
Christoph Reich, Biplob Debnath, Deep Patel +3
Standardized lossy video coding is at the core of almost all real-world video processing pipelines. Rate control is used to enable standard codecs to adapt to different network ban…
An Instance Segmentation Dataset of Yeast Cells in Microstructures
Christoph Reich, Tim Prangemeier, André O. Françani +1
Extracting single-cell information from microscopy data requires accurate instance-wise segmentations. Obtaining pixel-wise segmentations from microscopy imagery remains a challeng…
Histopathological Image Classification based on Self-Supervised Vision Transformer and Weak Labels
Ahmet Gokberk Gul, Oezdemir Cetin, Christoph Reich +3
Whole Slide Image (WSI) analysis is a powerful method to facilitate the diagnosis of cancer in tissue samples. Automating this diagnosis poses various issues, most notably caused b…
OSS-Net: Memory Efficient High Resolution Semantic Segmentation of 3D Medical Data
Christoph Reich, Tim Prangemeier, Özdemir Cetin +1
Convolutional neural networks (CNNs) are the current state-of-the-art meta-algorithm for volumetric segmentation of medical data, for example, to localize COVID-19 infected tissue…
Multi-StyleGAN: Towards Image-Based Simulation of Time-Lapse Live-Cell Microscopy
Christoph Reich, Tim Prangemeier, Christian Wildner +1
Time-lapse fluorescent microscopy (TLFM) combined with predictive mathematical modelling is a powerful tool to study the inherently dynamic processes of life on the single-cell lev…
Maximizing Information Gain for the Characterization of Biomolecular Circuits
Tim Prangemeier, Christian Wildner, Maleen Hanst +1
Quantitatively predictive models of biomolecular circuits are important tools for the design of synthetic biology and molecular communication circuits. The information content of t…
Attention-Based Transformers for Instance Segmentation of Cells in Microstructures
Tim Prangemeier, Christoph Reich, Heinz Koeppl
Detecting and segmenting object instances is a common task in biomedical applications. Examples range from detecting lesions on functional magnetic resonance images, to the detecti…
Multiclass Yeast Segmentation in Microstructured Environments with Deep Learning
Tim Prangemeier, Christian Wildner, André O. Françani +2
Cell segmentation is a major bottleneck in extracting quantitative single-cell information from microscopy data. The challenge is exasperated in the setting of microstructured envi…
Optimized thermoelectric sensitivity measurement for differential thermometry with thermopiles
Tim Prangemeier, Iman Nejati, Andreas Müller +3
A novel approach to calibrate the sensitivity of a differential thermometer, consisting of several thermocouples connected in series (thermopile), has been developed. The goal of t…