Lucas Mansilla

14 papers A* 1Journal 11Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	BM-CL: Bias Mitigation through the lens of Continual Learning. CoRR Lucas Mansilla, Rodrigo Echeveste, Camila González, Diego H. Milone, Enzo Ferrante
2025	J	`jnl`	In-Context Reverse Classification Accuracy: Efficient Estimation of Segmentation Quality without Ground-Truth. CoRR Matias Cosarinsky, Ramiro Billot, Lucas Mansilla, Gabriel Gimenez, Nicolás Gaggion, Guanghui Fu, Enzo Ferrante
2024	J	`jnl`	Demographically-Informed Prediction Discrepancy Index: Early Warnings of Demographic Biases for Unlabeled Populations. Trans. Mach. Learn. Res. Lucas Mansilla, Estanislao Claucich, Rodrigo Echeveste, Diego H. Milone, Enzo Ferrante
2023	J	`jnl`	CheXmask: a large-scale dataset of anatomical segmentation masks for multi-center chest x-ray images. CoRR Nicolás Gaggion, Candelaria Mosquera, Lucas Mansilla, Martina Aineseder, Diego H. Milone, Enzo Ferrante
2023	J	`jnl`	Improving Anatomical Plausibility in Medical Image Segmentation via Hybrid Graph Neural Networks: Applications to Chest X-Ray Analysis. IEEE Trans. Medical Imaging Nicolás Gaggion, Lucas Mansilla, Candelaria Mosquera, Diego H. Milone, Enzo Ferrante
2023	—	`conf`	Unsupervised Bias Discovery in Medical Image Segmentation. CLIP/FAIMI/EPIMI@MICCAI Nicolás Gaggion, Rodrigo Echeveste, Lucas Mansilla, Diego H. Milone, Enzo Ferrante
2023	J	`jnl`	Unsupervised bias discovery in medical image segmentation. CoRR Nicolás Gaggion, Rodrigo Echeveste, Lucas Mansilla, Diego H. Milone, Enzo Ferrante
2022	J	`jnl`	Improving anatomical plausibility in medical image segmentation via hybrid graph neural networks: applications to chest x-ray analysis. CoRR Nicolás Gaggion, Lucas Mansilla, Candelaria Mosquera, Diego H. Milone, Enzo Ferrante
2021	A*	`conf`	Domain Generalization via Gradient Surgery. ICCV Lucas Mansilla, Rodrigo Echeveste, Diego H. Milone, Enzo Ferrante
2021	J	`jnl`	Domain Generalization via Gradient Surgery. CoRR Lucas Mansilla, Rodrigo Echeveste, Diego H. Milone, Enzo Ferrante
2021	—	`conf`	Hybrid Graph Convolutional Neural Networks for Landmark-Based Anatomical Segmentation. MICCAI (1) Nicolás Gaggion, Lucas Mansilla, Diego H. Milone, Enzo Ferrante
2021	J	`jnl`	Hybrid graph convolutional neural networks for landmark-based anatomical segmentation. CoRR Nicolás Gaggion, Lucas Mansilla, Diego H. Milone, Enzo Ferrante
2020	J	`jnl`	Learning Deformable Registration of Medical Images with Anatomical Constraints. CoRR Lucas Mansilla, Diego H. Milone, Enzo Ferrante
2020	J	`jnl`	Learning deformable registration of medical images with anatomical constraints. Neural Networks Lucas Mansilla, Diego H. Milone, Enzo Ferrante