2D/3D Reconstruction of The Distal Tibiofibular Joint from Biplanar Radiographs Using Deep Learning Registration and Statistical Shape and Intensity Model-Reference-Cited by-同舟云学术

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2D/3D Reconstruction of The Distal Tibiofibular Joint from Biplanar Radiographs Using Deep Learning Registration and Statistical Shape and Intensity Model

Published:2024-05-27 Issue: Volume: Page:1-4
ISSN:
Container-title:2024 IEEE International Symposium on Biomedical Imaging (ISBI)
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Author:

Hashemibakhtiar Pejman¹,Cresson Thierry¹,Nault Marie-Lyne²,De Guise Jacques¹,Vázquez Carlos¹

Affiliation:

1. École de Technologie Supérieure (ÉTS),Département de Génie Logiciel et TI,Montréal,Canada

2. Université de Montréal,CHU Saint-Justine, Hôpital du Sacré-Cœur,Department of Surgery Montréal,Canada

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10635099/10635102/10635619.pdf?arnumber=10635619

Reference19 articles.

1. Review of 2-D/3-D Reconstruction Using Statistical Shape and Intensity Models and X-Ray Image Synthesis: Toward a Unified Framework

2. CT Scan Assessment of the Syndesmosis

3. End-To-End Convolutional Neural Network for 3D Reconstruction of Knee Bones from Bi-planar X-Ray Images

4. Revisiting Contour-Driven and Knowledge-Based Deformable Models: Application to 2D-3D Proximal Femur Reconstruction from X-ray Images

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