Rodrigo Bonazzola

European Bioinformatics Institute — United Kingdom

Biochemistry, Genetics and Molecular Biology · Life Sciences

23h-index11.8kcitations76works3.92yr avg
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Research Topics

Genetic Associations and Epidemiology(23), Computational and Text Analysis Methods(9), Genomics and Phylogenetic Studies(8), Cardiovascular Function and Risk Factors(8), Bioinformatics and Genomic Networks(8)

Publications74 total

Predicting cardiovascular disease risk using retinal optical coherence tomography imaging
Frontiers in Artificial Intelligence·2025· 1 citedOpen Access
Imaging genetics of the beating heart: disentangling static and dynamic cardiac phenotypes
2025Open Access
Multi-view hybrid graph convolutional network for volume-to-mesh reconstruction in cardiovascular MRI
Medical Image Analysis·2025· 4 citedOpen Access
ChronoRoot 2.0: An Open AI-Powered Platform for 2D Temporal Plant Phenotyping
ArXiv.org·2025Open Access
Predicting risk of cardiovascular disease using retinal OCT imaging
arXiv (Cornell University)·2024· 2 citedOpen Access
Unsupervised ensemble-based phenotyping enhances discoverability of genes related to left-ventricular morphology
Nature Machine Intelligence·2024· 23 citedOpen Access
GWAS summary statistics for left-ventricular phenotypes at end-diastole
Zenodo (CERN European Organization for Nuclear Research)·2024· 1 citedOpen Access
GWAS summary statistics for left-ventricular phenotypes at end-diastole
Zenodo (CERN European Organization for Nuclear Research)·2024Open Access
Concurrent Left Ventricular Myocardial Diffuse Fibrosis and Left Atrial Dysfunction Strongly Predict Incident Heart Failure
JACC. Cardiovascular imaging·2024· 4 cited
Multi-view Hybrid Graph Convolutional Network for Volume-to-mesh Reconstruction in Cardiovascular MRI
arXiv (Cornell University)·2023· 3 citedOpen Access
Learned Local Attention Maps for Synthesising Vessel Segmentations
arXiv (Cornell University)·2023Open Access
Concurrent left ventricular myocardial diffuse fibrosis and left atrial dysfunction strongly predicts incident heart failure and all-cause mortality
European Heart Journal·2023Open Access
Unsupervised ensemble-based phenotyping helps enhance the discoverability of genes related to heart morphology
arXiv (Cornell University)·2023· 1 citedOpen Access
Learned Local Attention Maps for Synthesising Vessel Segmentations from T2 MRI
Lecture notes in computer science·2023· 2 cited
The association between native myocardial T1 relaxation times and left atrial phasic structure and function: the UK Biobank Imaging Enhancement study
European Heart Journal·2022Open Access
Predicting Myocardial Infarction Using Retinal OCT Imaging
Lecture notes in computer science·2022· 4 cited
A Generative Framework for Predicting Myocardial Strain from Cine-Cardiac Magnetic Resonance Imaging
Lecture notes in computer science·2022· 1 citedOpen Access
CTIMP models on GTEx v8
Zenodo (CERN European Organization for Nuclear Research)·2021Open Access
CTIMP models on GTEx v8
2021Open Access
13 The association between cardiovascular risk factors and left atrial structure and phasic function
Abstracts·2021Open Access
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Frequent Co-authors

Alvaro Barbeira(39), Hae Kyung Im(38), François Aguet(36), Kristin Ardlie(36), Tuuli Lappalainen(30), Stephen B. Montgomery(26), Farhad Hormozdiari(24), Sarah Kim-Hellmuth(24), Xiaoquan Wen(24), YoSon Park(23), Ayellet V. Segrè(22), Yanyu Liang(22), Eric R. Gamazon(21), Alexis Battle(18), Gao Wang(18), Christopher D. Brown(18), Stephane E. Castel(17), Abhiram Rao(17), Brunilda Balliu(16), Meritxell Oliva(15)