Kauê T. N. Duarte

15 papers B 1Journal 4Unranked 10
YearRankTypeTitle / Venue / Authors
2025 J jnl
Benchmarking DINOv3 for Multi-Task Stroke Analysis on Non-Contrast CT.
CoRR
Donghao Zhang, Yimin Chen, Kauê T. N. Duarte, Taha Aslan, Mohamed AlShamrani, Brij Karmur, Yan Wan, Shengcai Chen, Bo Hu, Bijoy K. Menon, Wu Qiu
2025 — conf
Longitudinal White Matter Hyperintensity Segmentation with LSTM-Enhanced U-Net.
SIBGRAPI
Kauê T. N. Duarte, Murilo Costa de Barros, Abhijot S. Sidhu, David G. Gobbi, Cheryl R. McCreary, Feryal Saad, Eric E. Smith, Mariana P. Bento, Richard Frayne
2025 — conf
Structured Artificial Neural Networks for Chronological Brain Age Prediction using Functional Connectivity Matrices.
SIPAIM
Kauê T. N. Duarte, Abhijot S. Sidhu, Murilo Costa de Barros, David G. Gobbi, Cheryl R. McCreary, Mariana P. Bento, Richard Frayne
2024 J jnl
Deep learning for detecting prenatal alcohol exposure in pediatric brain MRI: a transfer learning approach with explainability insights.
Frontiers Comput. Neurosci.
Anik Das, Kauê T. N. Duarte, Catherine Lebel, Mariana Pinheiro Bento
2024 — conf
Improving Prenatal Alcohol Exposure classification using Data Augmentation in 3D Convolutional Neural Networks.
SIPAIM
Kauê T. N. Duarte, Anik Das, Catherine Lebel, Mariana P. Bento
2024 J jnl
Multi-stage semi-supervised learning enhances white matter hyperintensity segmentation.
Frontiers Comput. Neurosci.
Kauê T. N. Duarte, Abhijot S. Sidhu, Murilo Costa de Barros, David G. Gobbi, Cheryl R. McCreary, Feryal Saad, Richard Camicioli, Eric E. Smith, Mariana P. Bento, Richard Frayne
2023 — conf
Comparative Skull Stripping Techniques on Pediatric Magnetic Resonance Imaging.
SIPAIM
Anik Das, Kauê T. N. Duarte, Shannon Wong, Youssef Mamoun, Mariana Pinheiro Bento
2023 — conf
Default Mode Network Segregation Decreases in Healthy Brain Aging.
SIPAIM
Abhijot S. Sidhu, Talal H. Shahid, Kauê T. N. Duarte, Rachel J. Sharkey, Cheryl R. McCreary, Bradley G. Goodyear, Richard Frayne
2023 J jnl
Segmenting white matter hyperintensities in brain magnetic resonance images using convolution neural networks.
Pattern Recognit. Lett.
Kauê T. N. Duarte, David G. Gobbi, Abhijot S. Sidhu, Cheryl R. McCreary, Feryal Saad, Richard Camicioli, Eric E. Smith, Richard Frayne
2022 — conf
Analysis of the statistical significance of 3D texture features in MRI images toward the detection of Tourette's Syndrome.
SIBGRAPI
Murilo Costa de Barros, Kauê T. N. Duarte, Wang-Tso Lee, Chia-Jui Hsu, Marco António Garcia de Carvalho
2022 — conf
Segmenting White Matter Hyperintensity in Alzheimer's Disease using U-Net CNNs.
SIBGRAPI
Kauê T. N. Duarte, David G. Gobbi, Abhijot S. Sidhu, Cheryl R. McCreary, Feryal Saad, Nita Das, Eric E. Smith, Richard Frayne
2020 — conf
Detecting Alzheimer's Disease based on Structural Region Analysis using a 3D Shape Descriptor.
SIBGRAPI
Kauê T. N. Duarte, David G. Gobbi, Richard Frayne, Marco A. G. Carvalho
2019 — conf
Predicting the Early Stages of the Alzheimer's Disease via Combined Brain Multi-projections and Small Datasets.
VISIGRAPP (4: VISAPP)
Kauê T. N. Duarte, Pedro Victor Vieira de Paiva, Paulo Sérgio Martins, Marco A. G. Carvalho
2017 B conf
Adding GLCM Texture Analysis to a Combined Watershed Transform and Graph Cut Model for Image Segmentation.
ACIVS
Kauê T. N. Duarte, Marco António Garcia de Carvalho, Paulo Sérgio Martins
2017 — conf
Segmenting High-quality Digital Images of Stomata using the Wavelet Spot Detection and the Watershed Transform.
VISIGRAPP (4: VISAPP)
Kauê T. N. Duarte, Marco António Garcia de Carvalho, Paulo Sérgio Martins