248 citations · 266 across the 6 of their papers we have counts for
7 papers
Decomposing heterogeneous dynamical systems with graph neural networks
Cédric Allier, Magdalena C. Schneider, Michael Innerberger +3
Natural physical, chemical, and biological dynamical systems are often complex, with heterogeneous components interacting in diverse ways. We show how simple graph neural networks…
Deep Learning for Isotropic Super-Resolution from Non-Isotropic 3D Electron Microscopy
Larissa Heinrich, John A. Bogovic, Stephan Saalfeld
The most sophisticated existing methods to generate 3D isotropic super-resolution (SR) from non-isotropic electron microscopy (EM) are based on learned dictionaries. Unfortunately,…
Robust Registration of Calcium Images by Learned Contrast Synthesis
John A. Bogovic, Philipp Hanslovsky, Allan Wong +1
Multi-modal image registration is a challenging task that is vital to fuse complementary signals for subsequent analyses. Despite much research into cost functions addressing this…
Image-Based Correction of Continuous and Discontinuous Non-Planar Axial Distortion in Serial Section Microscopy
Philipp Hanslovsky, John A. Bogovic, Stephan Saalfeld
Motivation: Serial section microscopy is an established method for detailed anatomy reconstruction of biological specimen. During the last decade, high resolution electron microsco…
Post-acquisition image based compensation for thickness variation in microscopy section series
Philipp Hanslovsky, John A. Bogovic, Stephan Saalfeld
Serial section Microscopy is an established method for volumetric anatomy reconstruction. Section series imaged with Electron Microscopy are currently vital for the reconstruction…
Learned versus Hand-Designed Feature Representations for 3d Agglomeration
John A. Bogovic, Gary B. Huang, Viren Jain
For image recognition and labeling tasks, recent results suggest that machine learning methods that rely on manually specified feature representations may be outperformed by method…
Magnetic Resonance Connectome Automated Pipeline
William R. Gray, John A. Bogovic, Joshua T. Vogelstein +3
This manuscript presents a novel, tightly integrated pipeline for estimating a connectome, which is a comprehensive description of the neural circuits in the brain. The pipeline ut…