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cs.CV2026
Unsupervised Learning of Cell Instances with Generative Routing Pyramids
Ziwen Liu, Martin Weigert
Identifying and representing object instances such as cells or nuclei is a common task in microscopy image analysis. Established machine learning workflows typically use supervised…
cs.CV2026
MuViT: Multi-Resolution Vision Transformers for Learning Across Scales in Microscopy
Albert Dominguez Mantes, Gioele La Manno, Martin Weigert
Modern microscopy routinely produces gigapixel images that contain structures across multiple spatial scales, from fine cellular morphology to broader tissue organization. Many ana…