5 papers
CytoNet: A Foundation Model for the Human Cerebral Cortex at Cellular Resolution
Christian Schiffer, Zeynep Boztoprak, Jan-Oliver Kropp +5
Studying the cellular architecture of the human cerebral cortex is critical for understanding brain organization and function. It requires investigating complex texture patterns in…
Cytoarchitecture in Words: Weakly Supervised Vision-Language Modeling for Human Brain Microscopy
Matthew Sutton, Katrin Amunts, Timo Dickscheid +1
Vision foundation models increasingly support interactive scientific workflows, but natural-language interaction requires coupling visual representations to language. Curated image…
Depth-Wise Representation Development Under Blockwise Self-Supervised Learning for Video Vision Transformers
Jonas Römer, Timo Dickscheid
End-to-end backpropagation couples all layers through a global error signal, enabling coordinated learning but requiring long-range credit assignment. Motivated by recent progress…
From Fibers to Cells: Fourier-Based Registration Enables Virtual Cresyl Violet Staining From 3D Polarized Light Imaging
Alexander Oberstrass, Esteban Vaca, Eric Upschulte +7
Comprehensive assessment of the various aspects of the brain's microstructure requires the use of complementary imaging techniques. This includes measuring the spatial distribution…
Self-Supervised Representation Learning for Nerve Fiber Distribution Patterns in 3D-PLI
Alexander Oberstrass, Sascha E. A. Muenzing, Meiqi Niu +5
A comprehensive understanding of the organizational principles in the human brain requires, among other factors, well-quantifiable descriptors of nerve fiber architecture. Three-di…