| An open, multi-vendor, multi-field-strength brain MR dataset and analysis of publicly available skull stripping methods agreement R Souza, O Lucena, J Garrafa, D Gobbi, M Saluzzi, S Appenzeller, ... NeuroImage 170, 482-494, 2018 | 148 | 2018 |
| Transfer Learning Using Convolutional Neural Networks for Face Anti-spoofing O Lucena, A Junior, M Vitor, R Souza, E Valle, R Lotufo Image Analysis and Recognition: 14th International Conference, ICIAR 2017 …, 2017 | 120 | 2017 |
| Convolutional neural networks for skull-stripping in brain MR imaging using silver standard masks O Lucena, R Souza, L Rittner, R Frayne, R Lotufo Artificial intelligence in medicine 98, 48-58, 2019 | 48 | 2019 |
| Silver standard masks for data augmentation applied to deep-learning-based skull-stripping O Lucena, R Souza, L Rittner, R Frayne, R Lotufo Biomedical Imaging (ISBI 2018), 2018 IEEE 15th International Symposium on …, 2018 | 22 | 2018 |
| Middle frontal gyrus and area 55b: perioperative mapping and language outcomes SR Hazem, M Awan, JP Lavrador, S Patel, HM Wren, O Lucena, ... Frontiers in Neurology 12, 646075, 2021 | 20 | 2021 |
| Enhancing the estimation of fiber orientation distributions using convolutional neural networks O Lucena, SB Vos, V Vakharia, J Duncan, K Ashkan, R Sparks, S Ourselin Computers in Biology and Medicine 135, 104643, 2021 | 11* | 2021 |
| Improving face detection performance by skin detection post-processing O Lucena, ÍP Oliveira, L Veloso, E Pereira 2017 30th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI …, 2017 | 9 | 2017 |
| Reliability of using single specialist annotation for designing and evaluating automatic segmentation methods: a skull stripping case study R Souza, O Lucena, M Bento, J Garrafa, S Appenzeller, L Rittner, R Lotufo, ... 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018 | 6 | 2018 |
| A machine learning approach to predict instrument bending in stereotactic neurosurgery A Granados, M Mancini, SB Vos, O Lucena, V Vakharia, R Rodionov, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 5 | 2018 |
| Patient-specific prediction of SEEG electrode bending for stereotactic neurosurgical planning A Granados, Y Han, O Lucena, V Vakharia, R Rodionov, SB Vos, ... International Journal of Computer Assisted Radiology and Surgery 16, 789-798, 2021 | 4 | 2021 |
| Towards Uncertainty Quantification for Electrode Bending Prediction in Stereotactic Neurosurgery A Granados, O Lucena, V Vakharia, A Miserocchi, AW McEvoy, SB Vos, ... 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 674-677, 2020 | 2 | 2020 |
| Convolutional neural networks for fiber orientation distribution enhancement to improve single-shell diffusion MRI tractography O Lucena, SB Vos, V Vakharia, J Duncan, S Ourselin, R Sparks Computational Diffusion MRI: MICCAI Workshop, Shenzhen, China, October 2019 …, 2020 | 2 | 2020 |
| Brain Extraction Network Trained with" Silver Standard" Data and Fine-Tuned with Manual Annotation for Improved Segmentation R Souza, O Lucena, M Bento, J Garrafa, L Rittner, S Appenzeller, R Lotufo, ... 2019 32nd SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI …, 2019 | 2 | 2019 |
| Implementação de um Sistema de Reconhecimento de Objetos em Imagens OAS Lucena, LR Veloso, WTA Lopes Journal of Comunication and Information Technology 6, 2016 | 2 | 2016 |
| Reconhecimento de Objetos em Imagens OAS Lucena, LR Veloso, WTA Lopes Encontro Anual do IECOM em Comunicações, Redes e Criptografia: ENCOM …, 2016 | 1 | 2016 |
| Informative and Reliable Tract Segmentation for Preoperative Planning O Lucena, P Borges, J Cardoso, K Ashkan, R Sparks, S Ourselin Frontiers in Radiology 2, 12, 2022 | | 2022 |
| Can brain MRI skull-stripping methods be further improved using manual segmentation as ground-truth for validation? R Souza, O Lucena, L Rittner, R Lotufo, R Frayne ISMRM, 2018 | | 2018 |
| 2D Single Plane Big Data Convolutional Neural Network for Skull-Stripping O Lucena, R Souza, R Frayne, L Rittner, R Lotufo ISMRM, 2018 | | 2018 |
| Deep learning for brain analysis in MR imaging: Aprendizado profundo para análise do cérebro em imagens de ressonância magnética OAS Lucena State University of Campinas, 2018 | | 2018 |
| Detector de faces baseado no pós-processamento da detecção de pele. OAS LUCENA Universidade Federal de Campina Grande, 2016 | | 2016 |
Roberto A. LotufoAdjunct Professor at Faculty of E&CE, Unicamp, CTO @ NeuralMindVerified email at unicamp.br
