Oeslle Lucena - RankMe

15 papers Journal 8Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	MAIS: Memory-Attention for Interactive Segmentation. CoRR Mauricio Orbes-Arteaga, Oeslle Lucena, Sébastien Ourselin, M. Jorge Cardoso
2023	J	`jnl`	Generative AI for Medical Imaging: extending the MONAI Framework. CoRR 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
2021	J	`jnl`	Enhancing the estimation of fiber orientation distributions using convolutional neural networks. Comput. Biol. Medicine Oeslle Lucena, Sjoerd B. Vos, Vejay Vakharia, John S. Duncan, Keyoumars Ashkan, Rachel Sparks, Sébastien Ourselin
2021	J	`jnl`	Patient-specific prediction of SEEG electrode bending for stereotactic neurosurgical planning. Int. J. Comput. Assist. Radiol. Surg. 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
2020	—	`conf`	Towards Uncertainty Quantification for Electrode Bending Prediction in Stereotactic Neurosurgery. ISBI Alejandro Granados, Oeslle Lucena, Vejay Vakharia, Anna Miserocchi, Andrew W. McEvoy, Sjoerd B. Vos, Roman Rodionov, John S. Duncan, Rachel Sparks, Sébastien Ourselin
2020	J	`jnl`	Using convolution neural networks to learn enhanced fiber orientation distribution models from commercially available diffusion magnetic resonance imaging. CoRR Oeslle Lucena, Sjoerd B. Vos, Vejay Vakharia, John S. Duncan, Keyoumars Ashkan, Rachel Sparks, Sébastien Ourselin
2019	—	`conf`	Brain Extraction Network Trained with "Silver Standard" Data and Fine-Tuned with Manual Annotation for Improved Segmentation. SIBGRAPI Roberto Souza, Oeslle Lucena, Mariana P. Bento, Julia Garrafa, Letícia Rittner, Simone Appenzeller, Roberto A. Lotufo, Richard Frayne
2019	J	`jnl`	Convolutional neural networks for skull-stripping in brain MR imaging using silver standard masks. Artif. Intell. Medicine Oeslle Lucena, Roberto Souza, Letícia Rittner, Richard Frayne, Roberto A. Lotufo
2018	—	`conf`	A Machine Learning Approach to Predict Instrument Bending in Stereotactic Neurosurgery. MICCAI (4) 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
2018	J	`jnl`	An open, multi-vendor, multi-field-strength brain MR dataset and analysis of publicly available skull stripping methods agreement. NeuroImage Roberto Souza, Oeslle Lucena, Julia Garrafa, David G. Gobbi, Marina Salluzzi, Simone Appenzeller, Letícia Rittner, Richard Frayne, Roberto A. Lotufo
2018	J	`jnl`	Convolutional Neural Networks for Skull-stripping in Brain MR Imaging using Consensus-based Silver standard Masks. CoRR Oeslle Lucena, Roberto Souza, Letícia Rittner, Richard Frayne, Roberto A. Lotufo
2018	—	`conf`	Reliability of using single specialist annotation for designing and evaluating automatic segmentation methods: A skull stripping case study. ISBI Roberto Souza, Oeslle Lucena, Mariana P. Bento, Julia Garrafa, Simone Appenzeller, Letícia Rittner, Roberto A. Lotufo, Richard Frayne
2018	—	`conf`	Silver standard masks for data augmentation applied to deep-learning-based skull-stripping. ISBI Oeslle Lucena, Roberto Souza, Letícia Rittner, Richard Frayne, Roberto A. Lotufo
2017	—	`conf`	Improving Face Detection Performance by Skin Detection Post-Processing. SIBGRAPI Oeslle Lucena, Italo de Pontes Oliveira, Luciana Ribeiro Veloso, Eanes Torres Pereira
2017	—	`conf`	Transfer Learning Using Convolutional Neural Networks for Face Anti-spoofing. ICIAR Oeslle Lucena, Amadeu Junior, Vitor Moia, Roberto Souza, Eduardo Valle, Roberto A. Lotufo