David G. C. Hildebrand

Orcid: 0000-0002-2079-3517

According to our database1, David G. C. Hildebrand authored at least 10 papers between 2014 and 2021.

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Bibliography

2021
FusionNet: A Deep Fully Residual Convolutional Neural Network for Image Segmentation in Connectomics.
Frontiers Comput. Sci., 2021

ZeVis: A Visual Analytics System for Exploration of a Larval Zebrafish Brain in Serial-Section Electron Microscopy Images.
IEEE Access, 2021

2019
Removing Imaging Artifacts in Electron Microscopy using an Asymmetrically Cyclic Adversarial Network without Paired Training Data.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2017
Whole-brain serial-section electron microscopy in larval zebrafish.
Nat., 2017

ssEMnet: Serial-Section Electron Microscopy Image Registration Using a Spatial Transformer Network with Learned Features.
Proceedings of the Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, 2017

Finding Mirror Symmetry via Registration and Optimal Symmetric Pairwise Assignment of Curves: Algorithm and Results.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Finding Mirror Symmetry via Registration and Optimal Symmetric Pairwise Assignment of Curves.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2016
To Find the Symmetry Plane in Any Dimension, Reflect, Register, and Compute a -1 Eigenvector.
CoRR, 2016

Registering large volume serial-section electron microscopy image sets for neural circuit reconstruction using FFT signal whitening.
Proceedings of the 2016 IEEE Applied Imagery Pattern Recognition Workshop, 2016

2014
Vivaldi: A Domain-Specific Language for Volume Processing and Visualization on Distributed Heterogeneous Systems.
IEEE Trans. Vis. Comput. Graph., 2014


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