1 citations · 1 across the 3 of their papers we have counts for
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Tiling artifacts and trade-offs of feature normalization in the segmentation of large biological images
Elena Buglakova, Anwai Archit, Edoardo D'Imprima +3
Segmentation of very large images is a common problem in microscopy, medical imaging or remote sensing. The problem is usually addressed by sliding window inference, which can theo…
Probabilistic Domain Adaptation for Biomedical Image Segmentation
Anwai Archit, Constantin Pape
Segmentation is a crucial analysis task in biomedical imaging. Given the diverse experimental settings in this field, the lack of generalization limits the use of deep learning in…
Proposal-Free Volumetric Instance Segmentation from Latent Single-Instance Masks
Alberto Bailoni, Constantin Pape, Steffen Wolf +2
This work introduces a new proposal-free instance segmentation method that builds on single-instance segmentation masks predicted across the entire image in a sliding window style.…
The Semantic Mutex Watershed for Efficient Bottom-Up Semantic Instance Segmentation
Steffen Wolf, Yuyan Li, Constantin Pape +3
Semantic instance segmentation is the task of simultaneously partitioning an image into distinct segments while associating each pixel with a class label. In commonly used pipeline…
Synthetic patches, real images: screening for centrosome aberrations in EM images of human cancer cells
Artem Lukoyanov, Isabella Haberbosch, Constantin Pape +3
Recent advances in high-throughput electron microscopy imaging enable detailed study of centrosome aberrations in cancer cells. While the image acquisition in such pipelines is aut…
Leveraging Domain Knowledge to Improve Microscopy Image Segmentation with Lifted Multicuts
Constantin Pape, Alex Matskevych, Adrian Wolny +7
The throughput of electron microscopes has increased significantly in recent years, enabling detailed analysis of cell morphology and ultrastructure. Analysis of neural circuits at…