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ORCIDDavid G. C. Hildebrand
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2020 – today
- 2021
[j4]Junyoung Choi
, David Grant Colburn Hildebrand, Jungmin Moon, Tran Minh Quan, Tuan Tran Anh, Sungahn Ko, Won-Ki Jeong:
ZeVis: A Visual Analytics System for Exploration of a Larval Zebrafish Brain in Serial-Section Electron Microscopy Images. IEEE Access 9: 78755-78763 (2021)- [j3]Tran Minh Quan, David Grant Colburn Hildebrand, Won-Ki Jeong:
FusionNet: A Deep Fully Residual Convolutional Neural Network for Image Segmentation in Connectomics. Frontiers Comput. Sci. 3: 613981 (2021)
2010 – 2019
- 2019
- [c5]Tran Minh Quan, David Grant Colburn Hildebrand, Kanggeun Lee, Logan A. Thomas, Aaron T. Kuan, Wei-Chung Allen Lee, Won-Ki Jeong:
Removing Imaging Artifacts in Electron Microscopy using an Asymmetrically Cyclic Adversarial Network without Paired Training Data. ICCV Workshops 2019: 3804-3813 - 2017
- [j2]David Grant Colburn Hildebrand, Marcelo Cicconet, Russel Miguel Torres, Woohyuk Choi, Tran Minh Quan, Jungmin Moon, Arthur W. Wetzel, Andrew Scott Champion, Brett J. Graham, Owen Randlett, George S. Plummer, Ruben Portugues, Isaac Henry Bianco, Stephan Saalfeld, Alexander D. Baden, Kunal Lillaney, Randal C. Burns, Joshua T. Vogelstein, Alexander Schier, Wei-Chung Allen Lee, Won-Ki Jeong, Jeff William Lichtman, Florian Engert:
Whole-brain serial-section electron microscopy in larval zebrafish. Nat. 545(7654): 345-349 (2017) - [c4]Marcelo Cicconet, David G. C. Hildebrand, Hunter Elliott:
Finding Mirror Symmetry via Registration and Optimal Symmetric Pairwise Assignment of Curves. ICCV Workshops 2017: 1749-1758 - [c3]Marcelo Cicconet, David G. C. Hildebrand, Hunter Elliott:
Finding Mirror Symmetry via Registration and Optimal Symmetric Pairwise Assignment of Curves: Algorithm and Results. ICCV Workshops 2017: 1759-1763 - [c2]Inwan Yoo, David G. C. Hildebrand, Willie F. Tobin, Wei-Chung Allen Lee, Won-Ki Jeong:
ssEMnet: Serial-Section Electron Microscopy Image Registration Using a Spatial Transformer Network with Learned Features. DLMIA/ML-CDS@MICCAI 2017: 249-257 - [i4]Inwan Yoo, David G. C. Hildebrand, Willie F. Tobin, Wei-Chung Allen Lee, Won-Ki Jeong:
ssEMnet: Serial-section Electron Microscopy Image Registration using a Spatial Transformer Network with Learned Features. CoRR abs/1707.07833 (2017) - 2016
- [c1]Arthur W. Wetzel, Jennifer Bakal, Markus Dittrich, David G. C. Hildebrand, Josh L. Morgan, Jeff W. Lichtman:
Registering large volume serial-section electron microscopy image sets for neural circuit reconstruction using FFT signal whitening. AIPR 2016: 1-10 - [i3]Marcelo Cicconet, David G. C. Hildebrand, Hunter Elliott:
To Find the Symmetry Plane in Any Dimension, Reflect, Register, and Compute a -1 Eigenvector. CoRR abs/1611.05971 (2016) - [i2]Arthur W. Wetzel, Jennifer Bakal, Markus Dittrich, David G. C. Hildebrand, Josh L. Morgan, Jeff W. Lichtman:
Registering large volume serial-section electron microscopy image sets for neural circuit reconstruction using FFT signal whitening. CoRR abs/1612.04787 (2016) - [i1]Tran Minh Quan, David G. C. Hildebrand, Won-Ki Jeong:
FusionNet: A deep fully residual convolutional neural network for image segmentation in connectomics. CoRR abs/1612.05360 (2016) - 2014
- [j1]Hyungsuk Choi, Woohyuk Choi, Tran Minh Quan, David G. C. Hildebrand, Hanspeter Pfister, Won-Ki Jeong:
Vivaldi: A Domain-Specific Language for Volume Processing and Visualization on Distributed Heterogeneous Systems. IEEE Trans. Vis. Comput. Graph. 20(12): 2407-2416 (2014)
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