A joint 3D UNet-Graph Neural Network-based method for Airway Segmentation from chest CTs

no code implementations • 22 Aug 2019 • Antonio Garcia-Uceda Juarez, Raghavendra Selvan, Zaigham Saghir, Marleen de Bruijne

In this approach, the convolutional layers at the deepest level of the UNet are replaced by a GNN-based module with a series of graph convolutions.

3D Medical Imaging Segmentation

Multi-Task Attention-Based Semi-Supervised Learning for Medical Image Segmentation

1 code implementation • 29 Jul 2019 • Shuai Chen, Gerda Bortsova, Antonio Garcia-Uceda Juarez, Gijs van Tulder, Marleen de Bruijne

The reconstruction objective uses an attention mechanism that separates the reconstruction of image areas corresponding to different classes.

Image Segmentation Medical Image Segmentation +2

Graph Refinement based Airway Extraction using Mean-Field Networks and Graph Neural Networks

1 code implementation • 21 Nov 2018 • Raghavendra Selvan, Thomas Kipf, Max Welling, Antonio Garcia-Uceda Juarez, Jesper H. Pedersen, Jens Petersen, Marleen de Bruijne

Graph refinement, or the task of obtaining subgraphs of interest from over-complete graphs, can have many varied applications.