CheXmask: a large-scale dataset of anatomical segmentation masks for multi-center chest x-ray images
Published in Nature Scientific Data, 2024
Curriculum Vitae
- Postdoctoral Researcher Scientist at APOLO Biotech 🚀
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
Multi-view Hybrid Graph Convolutional Network for Volume-to-mesh Reconstruction in Cardiovascular MRI
In review, 2023
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
Awards
- 2021 - Best Poster Award - LatinX in CV (LXCV) Research at ICCV 2021
- 2021 - Student Travel Award - MICCAI 2021, 24th International Conference on Medical Image Computing and Computer Assisted Intervention
- 2019 - Honorific mention at Best Poster Award - Khipu: Latin American Meeting In Artificial Intelligence
Talks
ChronoRoot: A low-cost system for high-throughput phenotyping of plant root system architecture based on off-the-shelf electronics, 3D-printed hardware components, and deep learning models
Presentation at 2022 Winter School of the University of Udine’s PhD program in Agricultural Science and Biotechnology, Udine, Italia
Redes neuronales en grafo para segmentación de imágenes médicas
Presentation at XXII Congreso Internacional de Informática y Sistemas (CIIS), Tacna, Perú
ChronoRoot: High-throughput phenotyping by deep segmentation networks reveals novel temporal parameters of plant root system architecture
Poster presentation at XI Argentine Congress of Bioinformatics and Computational Biology (XI CAB2C) - Asociación Argentina de Bioinformática y Biología Computacional, Virtual Event
Translating images into graphs: Hybrid graph convolutional neural networks for landmark-based anatomical segmentation
Poster presentation at LatinX in CV (LXCV) Research at ICCV 2021, Virtual Event
Hybrid graph convolutional neural networks for landmark-based anatomical segmentation
Paper video presentation + Poster session at MICCAI 2021, 24th International Conference on Medical Image Computing and Computer Assisted Intervention, Virtual Event
High-throughput phenotyping of plan roots in temporal series of images using deep learning
Poster presentation at KHIPU: Latin American Meeting in Artificial Intelligence - Facultad de Ingeniería - Universidad de la República, Montevideo, Uruguay
High-throughput phenotyping of plan roots in temporal series of images using deep learning
Extended abstract presentation at 48 JAIIO - Universidad de Salta, Salta, Argentina
Teaching
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