IGCN: Image-to-graph Convolutional Network for 2D/3D Deformable Registration

31 October 2021

Papers citing "IGCN: Image-to-graph Convolutional Network for 2D/3D Deformable Registration"

6 / 6 papers shown

Title
From Pixels to Polygons: A Survey of Deep Learning Approaches for Medical Image-to-Mesh Reconstruction Fengming Lin Arezoo Zakeri Yidan Xue Michael MacRaild Haoran Dou Zherui Zhou Ziwei Zou Ali Sarrami-Foroushani Jinming Duan Alejandro F Frangi 3DV MedIm 37 0 0 06 May 2025
A Review on Organ Deformation Modeling Approaches for Reliable Surgical Navigation using Augmented Reality Zheng Han Qi Dou 42 0 0 05 Aug 2024
Deep-Motion-Net: GNN-based volumetric organ shape reconstruction from single-view 2D projections Isuru Wijesinghe Michael G. Nix A. Zakeri Alireza Hokmabadi B. Al-Qaisieh Ali Gooya Zeike A. Taylor MedIm 3DV 38 0 0 09 Jul 2024
Graph Convolutional Neural Networks for Automated Echocardiography View Recognition: A Holistic Approach Sarina Thomas Cristiana Tiago Børge Solli Andreassen S. Aase Jurica Šprem Erik Normann Steen Anne H. Schistad Solberg Guy Ben-Yosef 33 0 0 29 Feb 2024
Enhancing medical vision-language contrastive learning via inter-matching relation modelling Mingjian Li Mingyuan Meng M. Fulham David Dagan Feng Lei Bi Jinman Kim VLM 51 1 0 19 Jan 2024
Iterative PnP and its application in 3D-2D vascular image registration for robot navigation Jingwei Song Keke Yang Zheng Zhang Meng Li Tuoyu Cao Maani Ghaffari 29 4 0 19 Oct 2023