4 citations · 4 across the 6 of their papers we have counts for
7 papers
Samples, Sources, Space: Decomposing Data Scale in Spatially Structured Representation Learning of Human Brain Microarchitecture
Christian Schiffer, Mathis Bode, Thomas Lippert +2
Scaling studies typically represent training data by a single count of samples. For hierarchically and spatially structured data, however, the same number of samples can be drawn f…
Quantum Deep Learning: A Comprehensive Review
Yanjun Ji, Zhao-Yun Chen, Marco Roth +10
Quantum deep learning (QDL) explores the use of both quantum and quantum-inspired resources to determine when deep learning's core capabilities, such as expressivity, generalizatio…
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…
CytoNet: A Foundation Model for the Human Cerebral Cortex at Cellular Resolution
Christian Schiffer, Zeynep Boztoprak, Jan-Oliver Kropp +7
Studying the cellular architecture of the human cerebral cortex is essential for understanding how the brain is organized from the micro to the macro level, and how it functions. H…
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…
Denoising Diffusion Probabilistic Models for Image Inpainting of Cell Distributions in the Human Brain
Jan-Oliver Kropp, Christian Schiffer, Katrin Amunts +1
Recent advances in imaging and high-performance computing have made it possible to image the entire human brain at the cellular level. This is the basis to study the multi-scale ar…