Hybrid Graph Convolutional Neural Networks for Landmark-Based Anatomical Segmentation. - Nicolás Gaggion; Lucas Mansilla; Diego H. Milone; Enzo Ferrante (MICCAI (1), 2021)

Unsupervised Bias Discovery in Medical Image Segmentation. - Nicolás Gaggion; Rodrigo Echeveste; Lucas Mansilla; Diego H. Milone; Enzo Ferrante (CLIP/FAIMI/EPIMI@MICCAI, 2023)

Multi-Center Anatomical Segmentation with Heterogeneous Labels Via Landmark-Based Models. - Nicolás Gaggion; Maria Vakalopoulou; Diego H. Milone; Enzo Ferrante (ISBI, 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)

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, 2023)

Fitting Skeletal Models via Graph-Based Learning. - Nicolás Gaggion; Enzo Ferrante; Beatriz Paniagua; Jared Vicory (ISBI, 2024)

Multi-view hybrid graph convolutional network for volume-to-mesh reconstruction in cardiovascular MRI. - Nicolás Gaggion; Benjamin A. Matheson; Yan Xia 002; Rodrigo Bonazzola; Nishant Ravikumar; Zeike A. Taylor; Diego H. Milone; Alejandro F. Frangi; Enzo Ferrante (Medical Image Anal., 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, 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; et al. (CoRR, 2025)