Oeslle Lucena

According to our database, Oeslle Lucena authored at least 14 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

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, Wei Peng, Zelong Liu, XueYan Mei, Oeslle Lucena, Jong Chul Ye, Sotirios A. Tsaftaris, Prerna Dogra, Andrew Feng, Marc Modat, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso

CoRR, 2023

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

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

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

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

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

Convolutional neural networks for skull-stripping in brain MR imaging using silver standard masks.

Oeslle Lucena, Roberto Souza, Letícia Rittner, Richard Frayne, Roberto A. Lotufo

Artif. Intell. Medicine, 2019

Brain Extraction Network Trained with "Silver Standard" Data and Fine-Tuned with Manual Annotation for Improved Segmentation.

Roberto Souza, Oeslle Lucena, Mariana P. Bento, Julia Garrafa, Letícia Rittner, Simone Appenzeller, Roberto A. Lotufo, Richard Frayne

Proceedings of the 32nd SIBGRAPI Conference on Graphics, Patterns and Images, 2019

2018

An open, multi-vendor, multi-field-strength brain MR dataset and analysis of publicly available skull stripping methods agreement.

Roberto Souza, Oeslle Lucena, Julia Garrafa, David G. Gobbi, Marina Salluzzi, Simone Appenzeller, Letícia Rittner, Richard Frayne, Roberto A. Lotufo

NeuroImage, 2018

Convolutional Neural Networks for Skull-stripping in Brain MR Imaging using Consensus-based Silver standard Masks.

Oeslle Lucena, Roberto Souza, Letícia Rittner, Richard Frayne, Roberto A. Lotufo

CoRR, 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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Reliability of using single specialist annotation for designing and evaluating automatic segmentation methods: A skull stripping case study.

Roberto Souza, Oeslle Lucena, Mariana P. Bento, Julia Garrafa, Simone Appenzeller, Letícia Rittner, Roberto A. Lotufo, Richard Frayne

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Silver standard masks for data augmentation applied to deep-learning-based skull-stripping.

Oeslle Lucena, Roberto Souza, Letícia Rittner, Richard Frayne, Roberto A. Lotufo

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017

Improving Face Detection Performance by Skin Detection Post-Processing.

Oeslle Lucena, Italo de Pontes Oliveira, Luciana Ribeiro Veloso, Eanes Torres Pereira

Proceedings of the 30th SIBGRAPI Conference on Graphics, Patterns and Images, 2017

Transfer Learning Using Convolutional Neural Networks for Face Anti-spoofing.

Oeslle Lucena, Amadeu Junior, Vitor Moia, Roberto Souza, Eduardo Valle, Roberto A. Lotufo

Proceedings of the Image Analysis and Recognition - 14th International Conference, 2017