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Lucas Mansilla
Lucas Mansilla
Research Institute for Signals, Systems and Computational Intelligence, sinc(i), FICH-UNL, CONICET
Verified email at sinc.unl.edu.ar
Title
Cited by
Cited by
Year
Learning deformable registration of medical images with anatomical constraints
L Mansilla, DH Milone, E Ferrante
Neural Networks 124, 269-279, 2020
842020
Domain generalization via gradient surgery
L Mansilla, R Echeveste, DH Milone, E Ferrante
Proceedings of the IEEE/CVF international conference on computer vision …, 2021
742021
Improving anatomical plausibility in medical image segmentation via hybrid graph neural networks: applications to chest x-ray analysis
N Gaggion, L Mansilla, C Mosquera, DH Milone, E Ferrante
IEEE Transactions on Medical Imaging 42 (2), 546-556, 2022
312022
Hybrid graph convolutional neural networks for landmark-based anatomical segmentation
N Gaggion, L Mansilla, DH Milone, E Ferrante
Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021
112021
CheXmask: a large-scale dataset of anatomical segmentation masks for multi-center chest x-ray images
N Gaggion, C Mosquera, L Mansilla, JM Saidman, M Aineseder, ...
Scientific Data 11 (1), 511, 2024
42024
Segmentación multi-atlas de imágenes médicas con selección de atlas inteligente y control de calidad automático
L Mansilla, E Ferrante
XXIV Congreso Argentino de Ciencias de la Computación (La Plata, 2018)., 2018
42018
Unsupervised bias discovery in medical image segmentation
N Gaggion, R Echeveste, L Mansilla, DH Milone, E Ferrante
Workshop on Clinical Image-Based Procedures, 266-275, 2023
2023
Improving anatomical plausibility in medical image segmentation via hybrid graph neural networks: applications to chest x-ray analysis
RN Gaggion Zulpo, LA Mansilla, C Mosquera, DH Milone, E Ferrante
Institute of Electrical and Electronics Engineers, 2022
2022
Demographically-Informed Prediction Discrepancy Index: Early Warnings of Demographic Biases for Unlabeled Populations
L Mansilla, E Claucich, R Echeveste, DH Milone, E Ferrante
Transactions on Machine Learning Research, 0
CheXmask Database: a large-scale dataset of anatomical segmentation masks for chest x-ray images
N Gaggion, C Mosquera, M Aineseder, L Mansilla, D Milone, E Ferrante
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