A Fully Differentiable Framework for 2D/3D Registration and the Projective Spatial Transformers-Reference-Cited by-同舟云学术

A Fully Differentiable Framework for 2D/3D Registration and the Projective Spatial Transformers

Published:2024-01 Issue:1 Volume:43 Page:275-285
ISSN:0278-0062
Container-title:IEEE Transactions on Medical Imaging
language:
Short-container-title:IEEE Trans. Med. Imaging

Author:

Gao Cong¹^ORCID,Feng Anqi²,Liu Xingtong¹^ORCID,Taylor Russell H.¹^ORCID,Armand Mehran³^ORCID,Unberath Mathias¹^ORCID

Affiliation:

1. Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA

2. Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA

3. Departments of Orthopaedic Surgery, Mechanical Engineering, and Computer Science, and the Applied Physics Laboratory, Johns Hopkins University, Baltimore, MD, USA

Funder

U.S. National Institutes of Health

Johns Hopkins Internal Funds

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Radiological and Ultrasound Technology,Software

Link

http://xplorestaging.ieee.org/ielx7/42/10379496/10210439.pdf?arnumber=10210439

Reference51 articles.

1. The Impact of Machine Learning on 2D/3D Registration for Image-Guided Interventions: A Systematic Review and Perspective

2. Pose Estimation of Periacetabular Osteotomy Fragments With Intraoperative X-Ray Navigation

3. Fluoroscopic guidance of a surgical robot: pre-clinical evaluation in pelvic guidewire placement

4. Fiducial-Free 2D/3D Registration for Robot-Assisted Femoroplasty

5. Deformable 3D-2D registration for high-precision guidance and verification of neuroelectrode placement

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