Automatic Airway Segmentation in Chest CT Using Convolutional Neural Networks. - A. Garcia-Uceda Juarez; Harm A. W. M. Tiddens; Marleen de Bruijne (RAMBO+BIA+TIA@MICCAI, 2018)

Multi-task Attention-Based Semi-supervised Learning for Medical Image Segmentation. - Shuai Chen; Gerda Bortsova; Antonio García-Uceda Juárez; Gijs van Tulder; Marleen de Bruijne (MICCAI (3), 2019)

A Joint 3D UNet-Graph Neural Network-Based Method for Airway Segmentation from Chest CTs. - Antonio Garcia-Uceda Juarez; Raghavendra Selvan; Zaigham Saghir; Marleen de Bruijne (MLMI@MICCAI, 2019)

Graph refinement based airway extraction using mean-field networks and graph neural networks. - Raghavendra Selvan; Thomas Kipf; Max Welling; Antonio Garcia-Uceda Juarez; Jesper Holst Pedersen; Jens Petersen; Marleen de Bruijne (Medical Image Anal., 2020)

Automatic airway segmentation from Computed Tomography using robust and efficient 3-D convolutional neural networks. - Antonio Garcia-Uceda Juarez; Raghavendra Selvan; Zaigham Saghir; Harm A. W. M. Tiddens; Marleen de Bruijne (CoRR, 2021)

Label refinement network from synthetic error augmentation for medical image segmentation. - Shuai Chen; Antonio García-Uceda Juárez; Jiahang Su; Gijs van Tulder; Lennard Wolff; Theo van Walsum; Marleen de Bruijne (Medical Image Anal., 2025)