amira: A Highly Interactive System for Visual Data Analysis

By Detlev Stalling, Malte Westerhoff, Hans-Christian Hege. The Visualization Handbook, 2005

606 citations recorded by the source corpus.

Subfields: Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Information Systems and Management

View Paper: https://www.semanticscholar.org/paper/218feeeeed5f37940a02b137a099d60ee02000b9

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Graphics and Computer-Aided Design

1. Peter Bastian
2. Christian Engwer

In Computer Vision and Pattern Recognition

1. Fred A. Hamprecht
2. Ullrich Köthe
3. Christoph Nikolas Straehle
4. Martin Schiegg
5. Oliver Sander
6. Thorsten Beier
7. Andrew Zisserman
8. Moritz Helmstaedter

Citations in the corpus

• Development of a new generation of high-resolution anatomical models for medical device evaluation: the Virtual Population 3.0 (2014, methodology): “Also, the surface extraction and processing have been updated: previously, the surface extraction, simplification, and smoothing routines from the Amira software (Stalling et al 2005) were used.”
• A generic grid interface for parallel and adaptive scientific computing. Part II: implementation and tests in DUNE (2008, methodology): “The femur geometry is taken from the Visible Human data set [26] and a tetrahedral grid is generated using the Amira mesh generator [22].”
• ilastik: interactive machine learning for (bio)image analysis (2019, methodology): “4b. Carv-ing results over multiple blocks were merged and the remaining errors in the complete block were fixed by proof-reading in the Amira software (24) as it provides an efficient way to inspect large 3D objects.”