Hybrid graph convolutional neural networks for landmark-based anatomical segmentation

17 June 2021

Papers citing "Hybrid graph convolutional neural networks for landmark-based anatomical segmentation"

7 / 7 papers shown

Title
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 84 0 0 29 Feb 2024
Multi-view Hybrid Graph Convolutional Network for Volume-to-mesh Reconstruction in Cardiovascular MRI Nicolás Gaggion Benjamin A. Matheson Yan Xia Rodrigo Bonazzola Nishant Ravikumar Zeike A. Taylor Diego H. Milone Alejandro F. Frangi Enzo Ferrante 141 4 0 22 Nov 2023
CheXmask: a large-scale dataset of anatomical segmentation masks for multi-center chest x-ray images Nicolás Gaggion Candelaria Mosquera Lucas Mansilla Julia Mariel Saidman M. Aineseder Diego H. Milone Enzo Ferrante 64 21 0 06 Jul 2023
Joint Dense-Point Representation for Contour-Aware Graph Segmentation Kit M. Bransby Greg Slabaugh Christos Bourantas Qianni Zhang ISeg 43 4 0 21 Jun 2023
Multi-center anatomical segmentation with heterogeneous labels via landmark-based models Nicolás Gaggion Maria Vakalopoulou Diego H. Milone Enzo Ferrante 54 5 0 14 Nov 2022
Improving anatomical plausibility in medical image segmentation via hybrid graph neural networks: applications to chest x-ray analysis Nicolás Gaggion Lucas Mansilla Candelaria Mosquera Diego H. Milone Enzo Ferrante MedIm 48 41 0 21 Mar 2022
DATR: Domain-adaptive transformer for multi-domain landmark detection Heqin Zhu Qingsong Yao S. Kevin Zhou ViT MedIm 35 11 0 12 Mar 2022