96 citations · 148 across the 9 of their papers we have counts for
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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…
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…
Scalable 3D Semantic Segmentation for Gun Detection in CT Scans
Marius Memmel, Christoph Reich, Nicolas Wagner +1
With the increased availability of 3D data, the need for solutions processing those also increased rapidly. However, adding dimension to already reliably accurate 2D approaches lea…
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…
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…