Work

A Survey of Visualization and Analysis in High‐Resolution Connectomics

Year: 2022

Type: article

Source: Computer Graphics Forum

DOI: 10.1111/cgf.14574

Authors: Johanna Beyer, Jakob Troidl, Saeed Boorboor, Markus Hadwiger, Arie Kaufman, Hanspeter Pfister

Institutions: Harvard University, Stony Brook University, King Abdullah University of Science and Technology

Language: English

Topic: Data Visualization and Analytics

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funder: National Science Foundation

Awards: III: Medium: Visually Interactive Neural Probabilistic Models of Language, I/UCRC: Center for Visual and Decision Informatics (CVDI) Site at SUNY Stony Brook, III: Medium: Collaborative Research: Situated Visual Information Spaces, MRI: Acquisition of Heterogeneous Computer System for Machine Learning, CoPe: RCN: A Coastal Alliance Network for Visualization, Assessment, Science, and Stakeholders (CANVASS) for Convergent Environmental Problem Solving, NCS-FO: Empowering Data-Driven Hypothesis Generation for Scalable Connectomics Analysis

OpenAlex ID: W4298724002

FWCI: 1.736

Cites: 227

Cited by: 24

Related to: 10