Work

Unsupervised Keypoint-Based 2D/3D Registration in Minimally Invasive Pelvic Surgery

Year: 2025

Type: conference-paper

DOI: 10.1109/ainit65432.2025.11035310

Authors: Fujiao Ju, Yuan Li, Jingxin Zhao

Institutions: Beijing University of Technology, Chinese PLA General Hospital

Language: English

Topic: Medical Image Segmentation Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

Funder: China Postdoctoral Science Foundation

Award: G1154580053

OpenAlex ID: W4411551527

FWCI:

Cites: 13

Cited by:

Related to: 10