- PhD Student, CONICET
Research Interest
- Deep Learning
- Computer Vision
- Graph Neural Networks
- Representation Learning
- Plant Phenotyping
Advisor
Coadvisor
- Federico Ariel
- Diego Milone
Latest Publicactions
Multi-center anatomical segmentation with heterogeneous labels via landmark-based models
- N. Gaggion
- M. Vakalopoulou
- D. H. Milone
- E. Ferrante
arXiv preprint arXiv:2211.07395 - 2022
Improving anatomical plausibility in medical image segmentation via hybrid graph neural networks: applications to chest x-ray analysis
- N. Gaggion
- L. Mansilla
- C. Mosquera
- D. H. Milone
- E. Ferrante
IEEE Transactions on Medical Imaging - 2022
Hybrid Graph Convolutional Neural Networks for Landmark-Based Anatomical Segmentation
- N. Gaggion
- L. Mansilla
- D. H. Milone
- E. Ferrante
Medical Image Computing and Computer Assisted Intervention -- MICCAI 2021 - 2021
ChronoRoot: High-throughput phenotyping by deep segmentation networks reveals novel temporal parameters of plant root system architecture
- N. Gaggion
- F. Ariel
- V. Daric
- É. Lambert
- S. Legendre
- T. Roulé
- A. Camoirano
- D. H. Milone
- M. Crespi
- T. Blein
- E. Ferrante
GigaScience - 2021
More Publications
Personal Contact
- Phone: +54 (342) 4575233/34, ext. 119
- E-mail: ngaggion@sinc.unl.edu.ar