Multi-view Hybrid Graph Convolutional Network for Volume-to-mesh Reconstruction in Cardiovascular MRI
Accepted for publication at Medical Image Analysis, 2025
Curriculum Vitae
- 2025 - Ongoing: MOPGA Postdoctoral Research Fellow at the Institute of Plant Sciences at Université Paris-Saclay (IPS2).
- 2024-2025: Postdoctoral Researcher Scientist at APOLO Biotech - Adjunt Professor at Universidad de Buenos Aires.
- 2020-2024: PhD Student at sinc(i), Universidad Nacional del Litoral - CONICET.
Education
- Computing Engineer, Facultad de Ingeniería y Ciencias Hídricas, Universidad Nacional del Litoral, May 2020
- PhD in Engineering: Signals, systems and artificial intelligence, Facultad de Ingeniería y Ciencias Hídricas, Universidad Nacional del Litoral, February 2024.
Research internships
- 1st July to 1st August 2022 - Research internship at CISTIB lab, Center for Computational Imaging & Simulation Technologies in Biomedicine, University of Leeds, Leeds, UK. Under the supervision of Prof. Alex Frangi.
- 1st October - Research visitor at IPS2, Institute of Plant Sciences Paris-Saclay, 1 month visit, Université Paris-Saclay, Paris, France.
Selected publications
See full list in my Google Scholar profile
Fitting Skeletal Models via Graph-based Learning
Published at the 2024 IEEE International Symposium on Biomedical Imaging (ISBI), 2024
CheXmask: a large-scale dataset of anatomical segmentation masks for multi-center chest x-ray images
Published in Nature Scientific Data, 2024
Unsupervised bias discovery in medical image segmentation
Published at Fairness of AI in Medical Imaging - MICCAI 2023 Workshop, 2023
Multi-center anatomical segmentation with heterogeneous labels via landmark-based models
Published at the 20th IEEE International Symposium on Biomedical Imaging (ISBI 2023), 2023
Improving anatomical plausibility in medical image segmentation via hybrid graph neural networks: applications to chest x-ray analysis
Published at IEEE Transactions in Medical Imaging, 2022
Hybrid graph convolutional neural networks for landmark-based anatomical segmentation
Published at MICCAI 2021 - International Conference on Medical Image Computing and Computer-Assisted Intervention, 2021
Teaching
Adjunct Professor - Algorithm Design
Undergraduate course at Universidad de Buenos Aires, Facultad de Ciencias Exactas y Naturales, Ciudad Autónoma de Buenos Aires
Adjunct Professor - Numerical Methods
Undergraduate course at Universidad de Buenos Aires, Facultad de Ciencias Exactas y Naturales, Ciudad Autónoma de Buenos Aires
Part time professor - Computing Systems
Undergraduate course at Universidad Torcuato Di Tella, Ciudad Autónoma de Buenos Aires
Teaching assistant - Data Science II
Undergraduate course at Universidad Nacional del Litoral, Facultad de Ingeniería Química, Santa Fe
Teaching assistant - Deep Learning
Graduate course at Universidad Nacional del Litoral, Facultad de Ingeniería y Ciencias Hídricas, Santa Fe
Teaching assistant - Data Science I
Undergraduate course at Universidad Nacional del Litoral, Facultad de Ingeniería Química, Santa Fe
Teaching assistant - Linear Algebra, Optimization and Machine Learning
Graduate course at Universidad Nacional del Litoral, Facultad de Ingeniería Química, Santa Fe
Teaching assistant - Informatics
Undergraduate course at Universidad Nacional del Litoral, Facultad de Ingeniería Química, Santa Fe
Teaching assistant - Deep Learning
Graduate course at Universidad Nacional del Litoral, Facultad de Ingeniería y Ciencias Hídricas, Santa Fe
Student teaching assistant - Digital Image Processing
Undergraduate course at Universidad Nacional del Litoral, Facultad de Ingeniería y Ciencias Hídricas, Santa Fe