Nicolás Gaggion

According to our database, Nicolás Gaggion authored at least 9 papers between 2021 and 2025.

Collaborative distances:

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

2025

ChronoRoot 2.0: An Open AI-Powered Platform for 2D Temporal Plant Phenotyping.

Nicolás Gaggion, Rodrigo Bonazzola, María Florencia Legascue, María Florencia Mammarella, Florencia Sol Rodriguez, Federico Emanuel Aballay, Florencia Belén Catulo, Andana Barrios, Franco Accavallo, Santiago Nahuel Villarreal, Martin Crespi, Martiniano María Ricardi, Ezequiel Petrillo, Thomas Blein, Federico Ariel, Enzo Ferrante

CoRR, April, 2025

In-Context Reverse Classification Accuracy: Efficient Estimation of Segmentation Quality without Ground-Truth.

Matias Cosarinsky, Ramiro Billot, Lucas Mansilla, Gabriel Gimenez, Nicolás Gaggion, Guanghui Fu, Enzo Ferrante

CoRR, March, 2025

Multi-view hybrid graph convolutional network for volume-to-mesh reconstruction in cardiovascular MRI.

Nicolás Gaggion, Benjamin A. Matheson, Yan Xia, Rodrigo Bonazzola, Nishant Ravikumar, Zeike A. Taylor, Diego H. Milone, Alejandro F. Frangi, Enzo Ferrante

Medical Image Anal., 2025

2024

Fitting Skeletal Models via Graph-Based Learning.

Nicolás Gaggion, Enzo Ferrante, Beatriz Paniagua, Jared Vicory

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

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

Multi-Center Anatomical Segmentation with Heterogeneous Labels Via Landmark-Based Models.

Nicolás Gaggion, Maria Vakalopoulou, Diego H. Milone, Enzo Ferrante

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 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