Work

Intensity-Based 2D-3D Spine Image Registration Incorporating One Fiducial Marker

Year: 2003

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-540-39899-8_36

Authors: Daniel B. Russakoff, Torsten Rohlfing, Ramin Shahidi, Daniel H. Kim, John R. Adler, Calvin R. Maurer

Institutions: Stanford University, Stanford Medicine

Language: English

Topic: Medical Image Segmentation Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

Funder: National Science Foundation

Award: Postdoc: Integrating Soft Segmentation With Intensity-Based Matching for 2D/3D Image Data Registration

OpenAlex ID: W2172018599

FWCI: 1.231

Cites: 20

Cited by: 10

Related to: 10