Maria G. Baldeon Calisto

Orcid: 0000-0001-9379-8151

According to our database1, Maria G. Baldeon Calisto authored at least 15 papers between 2020 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation.
Medical Image Anal., 2023

Standard Latent Space Dimension for Network Intrusion Detection Systems Datasets.
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

Convolutional Networks Versus Transformers: A Comparison in Prostate Segmentation.
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

Teacher-Student Semi-supervised Approach for Medical Image Segmentation.
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
Efficient Neural Architecture Search with Multiobjective Evolutionary Optimization.
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

Neural Architecture Search with an Efficient Multiobjective Evolutionary Framework.
CoRR, 2020

Self-adaptive 2D-3D ensemble of fully convolutional networks for medical image segmentation.
Proceedings of the Medical Imaging 2020: Image Processing, 2020


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