David Grant Colburn Hildebrand

Publication Activity (10 Years)

Years Active: 2017-2021
Publications (10 Years): 4

Top Topics

Convolutional Neural Network

Probabilistic Relaxation

Image Segmentation

Top Venues

Frontiers Comput. Sci.

Publications

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 (2021)
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 (2021)
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)
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) (2017)