Nicolás Gaggion

Publication Activity (10 Years)

Years Active: 2021-2023
Publications (10 Years): 10

Top Topics

Medical Image Segmentation

Medical Imaging

Probabilistic Atlas

Convolutional Neural Networks

Top Venues

IEEE Trans. Medical Imaging

Publications

Nicolás Gaggion, Maria Vakalopoulou, Diego H. Milone, Enzo Ferrante
Multi-Center Anatomical Segmentation with Heterogeneous Labels Via Landmark-Based Models. ISBI (2023)
Nicolás Gaggion, Rodrigo Echeveste, Lucas Mansilla, Diego H. Milone, Enzo Ferrante
Unsupervised Bias Discovery in Medical Image Segmentation. CLIP/FAIMI/EPIMI@MICCAI (2023)
Nicolás Gaggion, Lucas Mansilla, Candelaria Mosquera, Diego H. Milone, Enzo Ferrante
Improving Anatomical Plausibility in Medical Image Segmentation via Hybrid Graph Neural Networks: Applications to Chest X-Ray Analysis. IEEE Trans. Medical Imaging 42 (2) (2023)
Nicolás Gaggion, Candelaria Mosquera, Lucas Mansilla, Martina Aineseder, Diego H. Milone, Enzo Ferrante
CheXmask: a large-scale dataset of anatomical segmentation masks for multi-center chest x-ray images. CoRR (2023)
Nicolás Gaggion, Rodrigo Echeveste, Lucas Mansilla, Diego H. Milone, Enzo Ferrante
Unsupervised bias discovery in medical image segmentation. CoRR (2023)
Nicolás Gaggion, Benjamin A. Matheson, Yan Xia, Rodrigo Bonazzola, Nishant Ravikumar, Zeike A. Taylor, Diego H. Milone, Alejandro F. Frangi, Enzo Ferrante
Multi-view Hybrid Graph Convolutional Network for Volume-to-mesh Reconstruction in Cardiovascular MRI. CoRR (2023)
Nicolás Gaggion, Lucas Mansilla, Candelaria Mosquera, Diego H. Milone, Enzo Ferrante
Improving anatomical plausibility in medical image segmentation via hybrid graph neural networks: applications to chest x-ray analysis. CoRR (2022)
Nicolás Gaggion, Maria Vakalopoulou, Diego H. Milone, Enzo Ferrante
Multi-center anatomical segmentation with heterogeneous labels via landmark-based models. CoRR (2022)
Nicolás Gaggion, Lucas Mansilla, Diego H. Milone, Enzo Ferrante
Hybrid graph convolutional neural networks for landmark-based anatomical segmentation. CoRR (2021)
Nicolás Gaggion, Lucas Mansilla, Diego H. Milone, Enzo Ferrante
Hybrid Graph Convolutional Neural Networks for Landmark-Based Anatomical Segmentation. MICCAI (1) (2021)