Maria G. Baldeon Calisto
Orcid: 0000-0001-9379-8151
According to our database1,
Maria G. Baldeon Calisto
authored at least 18 papers
between 2020 and 2024.
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Bibliography
2024
A Comparison Between Transformers and Foundation Models in Sentiment Analysis of Student Evaluation of Teaching.
Proceedings of the 12th International Symposium on Digital Forensics and Security, 2024
Generative Artificial Intelligence in Latin American Higher Education: A Systematic Literature Review.
Proceedings of the 12th International Symposium on Digital Forensics and Security, 2024
A Comparative Analysis of Vision Transformers and Convolutional Neural Networks in Cardiac Image Segmentation.
Proceedings of the 12th International Symposium on Digital Forensics and Security, 2024
2023
CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation.
Medical Image Anal., 2023
IEEE Access, 2023
A Feature Selection Approach Towards the Standardization of Network Security Datasets.
Proceedings of the 9th IEEE International Conference on Network Softwarization, 2023
An extensive pixel-level augmentation framework for unsupervised cross-modality domain adaptation.
Proceedings of the Medical Imaging 2023: Image Processing, 2023
Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023
2022
CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwnannoma and Cochlea Segmentation.
CoRR, 2022
C-MADA: unsupervised cross-modality adversarial domain adaptation framework for medical image segmentation.
Proceedings of the Medical Imaging 2022: Image Processing, 2022
Proceedings of the Fast and Low-Resource Semi-supervised Abdominal Organ Segmentation, 2022
2021
EMONAS-Net: Efficient multiobjective neural architecture search using surrogate-assisted evolutionary algorithm for 3D medical image segmentation.
Artif. Intell. Medicine, 2021
EMONAS: efficient multiobjective neural architecture search framework for 3D medical image segmentation.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021
2020
PhD thesis, 2020
AdaEn-Net: An ensemble of adaptive 2D-3D Fully Convolutional Networks for medical image segmentation.
Neural Networks, 2020
AdaResU-Net: Multiobjective adaptive convolutional neural network for medical image segmentation.
Neurocomputing, 2020
CoRR, 2020
Self-adaptive 2D-3D ensemble of fully convolutional networks for medical image segmentation.
Proceedings of the Medical Imaging 2020: Image Processing, 2020