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Improving anatomical plausibility in medical image segmentation via hybrid graph neural networks: applications to chest x-ray analysis


Apr 01, 2022
Nicolás Gaggion, Lucas Mansilla, Candelaria Mosquera, Diego H. Milone, Enzo Ferrante

* Source code at https://github.com/ngaggion/HybridGNet 

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Domain Generalization via Gradient Surgery


Aug 03, 2021
Lucas Mansilla, Rodrigo Echeveste, Diego H. Milone, Enzo Ferrante

* Accepted for publication at ICCV 2021 

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Hybrid graph convolutional neural networks for landmark-based anatomical segmentation


Jun 17, 2021
Nicolás Gaggion, Lucas Mansilla, Diego Milone, Enzo Ferrante

* Accepted for publication at MICCAI 2021 

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Learning Deformable Registration of Medical Images with Anatomical Constraints


Jan 22, 2020
Lucas Mansilla, Diego H. Milone, Enzo Ferrante

* Accepted for publication in Neural Networks (Elsevier). Source code and resulting segmentation masks for the NIH Chest-XRay14 dataset with estimated quality index available at https://github.com/lucasmansilla/ACRN_Chest_X-ray_IA 

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