Kauê T. N. Duarte
Orcid: 0000-0002-4074-3672Affiliations:
- State University of Campinas, Limeira, SP, Brazil
According to our database1,
Kauê T. N. Duarte
authored at least 15 papers
between 2017 and 2024.
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Online presence:
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Bibliography
2024
Adding Dimensionality Reduction analysis of Texture descriptors for Tourette's Syndrome classification.
SN Comput. Sci., August, 2024
Multi-stage semi-supervised learning enhances white matter hyperintensity segmentation.
Frontiers Comput. Neurosci., 2024
Deep learning for detecting prenatal alcohol exposure in pediatric brain MRI: a transfer learning approach with explainability insights.
Frontiers Comput. Neurosci., 2024
Comparing 3D Shape and Texture Descriptors Towards Tourette's Syndrome Prediction Using Pediatric Magnetic Resonance Imaging.
Proceedings of the 19th International Joint Conference on Computer Vision, 2024
Improving Prenatal Alcohol Exposure classification using Data Augmentation in 3D Convolutional Neural Networks.
Proceedings of the 20th International Symposium on Medical Information Processing and Analysis, 2024
2023
Segmenting white matter hyperintensities in brain magnetic resonance images using convolution neural networks.
Pattern Recognit. Lett., November, 2023
Proceedings of the 19th International Symposium on Medical Information Processing and Analysis, 2023
Proceedings of the 19th International Symposium on Medical Information Processing and Analysis, 2023
2022
Proceedings of the 35th SIBGRAPI Conference on Graphics, Patterns and Images, 2022
Analysis of the statistical significance of 3D texture features in MRI images toward the detection of Tourette's Syndrome.
Proceedings of the 35th SIBGRAPI Conference on Graphics, Patterns and Images, 2022
Detecting Tourette's Syndrome in Anatomical Regions of the Brain through MRI Analysis and Naive Bayes Classifier.
Proceedings of the 2nd International Conference on Image Processing and Vision Engineering, 2022
2020
Detecting Alzheimer's Disease based on Structural Region Analysis using a 3D Shape Descriptor.
Proceedings of the 33rd SIBGRAPI Conference on Graphics, Patterns and Images, 2020
2019
Predicting the Early Stages of the Alzheimer's Disease via Combined Brain Multi-projections and Small Datasets.
Proceedings of the 14th International Joint Conference on Computer Vision, 2019
2017
Segmenting High-quality Digital Images of Stomata using the Wavelet Spot Detection and the Watershed Transform.
Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 4: VISAPP, Porto, Portugal, February 27, 2017
Adding GLCM Texture Analysis to a Combined Watershed Transform and Graph Cut Model for Image Segmentation.
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2017