Lucas Mansilla

According to our database, Lucas Mansilla authored at least 6 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

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

IEEE Trans. Medical Imaging, February, 2023

CheXmask: a large-scale dataset of anatomical segmentation masks for multi-center chest x-ray images.

Nicolás Gaggion, Candelaria Mosquera, Lucas Mansilla, Martina Aineseder, Diego H. Milone, Enzo Ferrante

CoRR, 2023

Unsupervised Bias Discovery in Medical Image Segmentation.

Nicolás Gaggion, Rodrigo Echeveste, Lucas Mansilla, Diego H. Milone, Enzo Ferrante

Proceedings of the Clinical Image-Based Procedures, Fairness of AI in Medical Imaging, and Ethical and Philosophical Issues in Medical Imaging, 2023

2021

Hybrid Graph Convolutional Neural Networks for Landmark-Based Anatomical Segmentation.

Nicolás Gaggion, Lucas Mansilla, Diego H. Milone, Enzo Ferrante

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Domain Generalization via Gradient Surgery.

Lucas Mansilla, Rodrigo Echeveste, Diego H. Milone, Enzo Ferrante

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Learning deformable registration of medical images with anatomical constraints.

Lucas Mansilla, Diego H. Milone, Enzo Ferrante

Neural Networks, 2020