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pro vyhledávání: '"Bogovic, John A."'
Autor:
Allier, Cédric, Schneider, Magdalena C., Innerberger, Michael, Heinrich, Larissa, Bogovic, John A., Saalfeld, Stephan
Natural physical, chemical, and biological dynamical systems are often complex, with heterogeneous components interacting in diverse ways. We show that graph neural networks can be designed to jointly learn the interaction rules and the structure of
Externí odkaz:
http://arxiv.org/abs/2407.19160
The most sophisticated existing methods to generate 3D isotropic super-resolution (SR) from non-isotropic electron microscopy (EM) are based on learned dictionaries. Unfortunately, none of the existing methods generate practically satisfying results.
Externí odkaz:
http://arxiv.org/abs/1706.03142
Motivation: Serial section microscopy is an established method for detailed anatomy reconstruction of biological specimen. During the last decade, high resolution electron microscopy (EM) of serial sections has become the de-facto standard for recons
Externí odkaz:
http://arxiv.org/abs/1511.01161
Publikováno v:
IEEE International Symposium on Biomedical Imaging, 2016, pages 1123--1126
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 challenge, there exist cases in which these are ineffective. In this w
Externí odkaz:
http://arxiv.org/abs/1511.01154
Autor:
Thuma, Tobin B. T.1 (AUTHOR), Bogovic, John A.2 (AUTHOR), Gunton, Kammi B.1 (AUTHOR), Jimenez, Hiram3 (AUTHOR), Negreiros, Bernardo4 (AUTHOR), Pulido, Jose S.3,5 (AUTHOR) jpulido@willseye.org
Publikováno v:
PLoS ONE. 4/25/2023, Vol. 17 Issue 4, p1-10. 10p.
Publikováno v:
IEEE International Symposium on Biomedical Imaging, 2015, pages 507--511
Serial section Microscopy is an established method for volumetric anatomy reconstruction. Section series imaged with Electron Microscopy are currently vital for the reconstruction of the synaptic connectivity of entire animal brains such as that of D
Externí odkaz:
http://arxiv.org/abs/1411.6970
For image recognition and labeling tasks, recent results suggest that machine learning methods that rely on manually specified feature representations may be outperformed by methods that automatically derive feature representations based on the data.
Externí odkaz:
http://arxiv.org/abs/1312.6159
Autor:
Gray, William R., Bogovic, John A., Vogelstein, Joshua T., Landman, Bennett A., Prince, Jerry L., Vogelstein, R. Jacob
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 utilizes magnetic resonance imaging (MRI) data to produce a high-level e
Externí odkaz:
http://arxiv.org/abs/1111.2660
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