activity
20172025
most citedMulti-view Hybrid Graph Convolutional Network for Volume-to-mesh Reconstruction in Cardiovascular MRI

6 citations · 17 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2025★ 1 cited

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

Nicolás Gaggion, Noelia A. Boccardo, Rodrigo Bonazzola +17

Plant developmental plasticity, particularly in root system architecture, is fundamental to understanding adaptability and agricultural sustainability. ChronoRoot 2.0 builds upon e…

eess.IV2024★ 3 cited

Predicting risk of cardiovascular disease using retinal OCT imaging

Cynthia Maldonado-Garcia, Rodrigo Bonazzola, Enzo Ferrante +4

Cardiovascular diseases (CVD) are the leading cause of death globally. Non-invasive, cost-effective imaging techniques play a crucial role in early detection and prevention of CVD.…

eess.IV2023★ 6 cited

Multi-view Hybrid Graph Convolutional Network for Volume-to-mesh Reconstruction in Cardiovascular MRI

Nicolás Gaggion, Benjamin A. Matheson, Yan Xia +6

Cardiovascular magnetic resonance imaging is emerging as a crucial tool to examine cardiac morphology and function. Essential to this endeavour are anatomical 3D surface and volume…

eess.IV2023

Learned Local Attention Maps for Synthesising Vessel Segmentations

Yash Deo, Rodrigo Bonazzola, Haoran Dou +5

Magnetic resonance angiography (MRA) is an imaging modality for visualising blood vessels. It is useful for several diagnostic applications and for assessing the risk of adverse ev…

q-bio.GN2023★ 1 cited

Unsupervised ensemble-based phenotyping helps enhance the discoverability of genes related to heart morphology

Rodrigo Bonazzola, Enzo Ferrante, Nishant Ravikumar +5

Recent genome-wide association studies (GWAS) have been successful in identifying associations between genetic variants and simple cardiac parameters derived from cardiac magnetic…

cond-mat.mes-hall2017★ 6 cited

SU(4) Kondo entanglement in double quantum dot devices

Rodrigo Bonazzola, J. A. Andrade, Jorge I. Facio +2

We analyze, from a quantum information theory perspective, the possibility of realizing a SU(4) entangled Kondo regime in semiconductor double quantum dot devices. We focus our ana…