Adding GLCM Texture Analysis to a Combined Watershed Transform and Graph Cut Model for Image Segmentation. - Kauê T. N. Duarte; Marco António Garcia de Carvalho; Paulo Sérgio Martins (ACIVS, 2017)

Segmenting High-quality Digital Images of Stomata using the Wavelet Spot Detection and the Watershed Transform. - Kauê T. N. Duarte; Marco António Garcia de Carvalho; Paulo Sérgio Martins (VISIGRAPP (4: VISAPP), 2017)

Predicting the Early Stages of the Alzheimer's Disease via Combined Brain Multi-projections and Small Datasets. - Kauê T. N. Duarte; Pedro Victor Vieira de Paiva; Paulo Sérgio Martins; Marco A. G. Carvalho (VISIGRAPP (4: VISAPP), 2019)

Detecting Alzheimer's Disease based on Structural Region Analysis using a 3D Shape Descriptor. - Kauê T. N. Duarte; David G. Gobbi; Richard Frayne; Marco A. G. Carvalho (SIBGRAPI, 2020)

Detecting Tourette's Syndrome in Anatomical Regions of the Brain through MRI Analysis and Naive Bayes Classifier. - Murilo Costa de Barros; Kauê Tartarotti Nepomuceno Duarte; Wang-Tso Lee; Chia-Jui Hsu; Marco António Garcia de Carvalho (IMPROVE, 2022)

Analysis of the statistical significance of 3D texture features in MRI images toward the detection of Tourette's Syndrome. - Murilo Costa de Barros; Kauê T. N. Duarte; Wang-Tso Lee; Chia-Jui Hsu; Marco António Garcia de Carvalho (SIBGRAPI, 2022)

Segmenting White Matter Hyperintensity in Alzheimer's Disease using U-Net CNNs. - Kauê T. N. Duarte; David G. Gobbi; Abhijot S. Sidhu; Cheryl R. McCreary; Feryal Saad; Nita Das; Eric E. Smith; Richard Frayne (SIBGRAPI, 2022)

Comparative Skull Stripping Techniques on Pediatric Magnetic Resonance Imaging. - Anik Das; Kauê T. N. Duarte; Shannon Wong; Youssef Mamoun; Mariana Pinheiro Bento (SIPAIM, 2023)

Default Mode Network Segregation Decreases in Healthy Brain Aging. - Abhijot S. Sidhu; Talal H. Shahid; Kauê T. N. Duarte; Rachel J. Sharkey; Cheryl R. McCreary; Bradley G. Goodyear; Richard Frayne (SIPAIM, 2023)

Segmenting white matter hyperintensities in brain magnetic resonance images using convolution neural networks. - Kauê T. N. Duarte; David G. Gobbi; Abhijot S. Sidhu; Cheryl R. McCreary; Feryal Saad; Richard Camicioli; Eric E. Smith; Richard Frayne (Pattern Recognit. Lett., 2023)

Improving Prenatal Alcohol Exposure classification using Data Augmentation in 3D Convolutional Neural Networks. - Kauê T. N. Duarte; Anik Das; Catherine Lebel; Mariana P. Bento (SIPAIM, 2024)

Comparing 3D Shape and Texture Descriptors Towards Tourette's Syndrome Prediction Using Pediatric Magnetic Resonance Imaging. - Murilo Costa de Barros; Kauê Tartarotti Nepomuceno Duarte; Chia-Jui Hsu; Wang-Tso Lee; Marco António Garcia de Carvalho (VISIGRAPP (3): VISAPP, 2024)

Deep learning for detecting prenatal alcohol exposure in pediatric brain MRI: a transfer learning approach with explainability insights. - Anik Das; Kauê T. N. Duarte; Catherine Lebel; Mariana Pinheiro Bento (Frontiers Comput. Neurosci., 2024)

Multi-stage semi-supervised learning enhances white matter hyperintensity segmentation. - 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 (Frontiers Comput. Neurosci., 2024)

Adding Dimensionality Reduction analysis of Texture descriptors for Tourette's Syndrome classification. - Murilo Costa de Barros; Kauê Tartarotti Nepomuceno Duarte; Wang-Tso Lee; Chia-Jui Hsu; Marco António Garcia de Carvalho (SN Comput. Sci., 2024)