Transfer Learning Using Convolutional Neural Networks for Face Anti-spoofing. - Oeslle Lucena; Amadeu Junior; Vitor Moia; Roberto Souza 001; Eduardo Valle; Roberto A. Lotufo (ICIAR, 2017)

Improving Face Detection Performance by Skin Detection Post-Processing. - Oeslle Lucena; Italo de Pontes Oliveira; Luciana Ribeiro Veloso; Eanes Torres Pereira (SIBGRAPI, 2017)

Silver standard masks for data augmentation applied to deep-learning-based skull-stripping. - Oeslle Lucena; Roberto Souza 001; Letícia Rittner; Richard Frayne; Roberto A. Lotufo (ISBI, 2018)

Reliability of using single specialist annotation for designing and evaluating automatic segmentation methods: A skull stripping case study. - Roberto Souza 001; Oeslle Lucena; Mariana P. Bento; Julia Garrafa; Simone Appenzeller; Letícia Rittner; Roberto A. Lotufo; Richard Frayne (ISBI, 2018)

A Machine Learning Approach to Predict Instrument Bending in Stereotactic Neurosurgery. - Alejandro Granados; Matteo Mancini; Sjoerd B. Vos; Oeslle Lucena; Vejay Vakharia; Roman Rodionov; Anna Miserocchi; Andrew W. McEvoy; John S. Duncan; Rachel Sparks; Sébastien Ourselin (MICCAI (4), 2018)

Convolutional Neural Networks for Skull-stripping in Brain MR Imaging using Consensus-based Silver standard Masks. - Oeslle Lucena; Roberto Souza 001; Letícia Rittner; Richard Frayne; Roberto A. Lotufo (CoRR, 2018)

An open, multi-vendor, multi-field-strength brain MR dataset and analysis of publicly available skull stripping methods agreement. - Roberto Souza 001; Oeslle Lucena; Julia Garrafa; David G. Gobbi; Marina Salluzzi; Simone Appenzeller; Letícia Rittner; Richard Frayne; Roberto A. Lotufo (NeuroImage, 2018)

Brain Extraction Network Trained with "Silver Standard" Data and Fine-Tuned with Manual Annotation for Improved Segmentation. - Roberto Souza 001; Oeslle Lucena; Mariana P. Bento; Julia Garrafa; Letícia Rittner; Simone Appenzeller; Roberto A. Lotufo; Richard Frayne (SIBGRAPI, 2019)

Convolutional neural networks for skull-stripping in brain MR imaging using silver standard masks. - Oeslle Lucena; Roberto Souza 001; Letícia Rittner; Richard Frayne; Roberto A. Lotufo (Artif. Intell. Medicine, 2019)

Towards Uncertainty Quantification for Electrode Bending Prediction in Stereotactic Neurosurgery. - Alejandro Granados; Oeslle Lucena; Vejay Vakharia; Anna Miserocchi; Andrew W. McEvoy; Sjoerd B. Vos; Roman Rodionov; John S. Duncan; Rachel Sparks; Sébastien Ourselin (ISBI, 2020)

Using convolution neural networks to learn enhanced fiber orientation distribution models from commercially available diffusion magnetic resonance imaging. - Oeslle Lucena; Sjoerd B. Vos; Vejay Vakharia; John S. Duncan; Keyoumars Ashkan; Rachel Sparks; Sébastien Ourselin (CoRR, 2020)

Patient-specific prediction of SEEG electrode bending for stereotactic neurosurgical planning. - Alejandro Granados; Yuxuan Han; Oeslle Lucena; Vejay Vakharia; Roman Rodionov; Sjoerd B. Vos; Anna Miserocchi; Andrew W. McEvoy; John S. Duncan; Rachel Sparks; Sébastien Ourselin (Int. J. Comput. Assist. Radiol. Surg., 2021)

Enhancing the estimation of fiber orientation distributions using convolutional neural networks. - Oeslle Lucena; Sjoerd B. Vos; Vejay Vakharia; John S. Duncan; Keyoumars Ashkan; Rachel Sparks; Sébastien Ourselin (Comput. Biol. Medicine, 2021)

Generative AI for Medical Imaging: extending the MONAI Framework. - Walter H. L. Pinaya; Mark S. Graham; Eric Kerfoot; Petru-Daniel Tudosiu; Jessica Dafflon; Virginia Fernandez; Pedro Sanchez; Julia Wolleb; Pedro F. Da Costa; Ashay Patel; Hyungjin Chung; Can Zhao 001; et al. (CoRR, 2023)

MAIS: Memory-Attention for Interactive Segmentation. - Mauricio Orbes-Arteaga; Oeslle Lucena; Sébastien Ourselin; M. Jorge Cardoso (CoRR, 2025)