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
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