Articles with public access mandates - Oeslle LucenaLearn more
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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
Mandates: UK Engineering and Physical Sciences Research Council, National Institute …
Available somewhere: 12
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
Mandates: Canadian Institutes of Health Research, Natural Sciences and Engineering …
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
Mandates: Canadian Institutes of Health Research, Natural Sciences and Engineering …
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
Mandates: UK Engineering and Physical Sciences Research Council
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
Mandates: Canadian Institutes of Health Research, Natural Sciences and Engineering …
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
Mandates: UK Engineering and Physical Sciences Research Council, National Institute …
Informative and reliable tract segmentation for preoperative planning
O Lucena, P Borges, J Cardoso, K Ashkan, R Sparks, S Ourselin
Frontiers in radiology 2, 866974, 2022
Mandates: UK Engineering and Physical Sciences Research Council, National Institute …
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
Mandates: UK Engineering and Physical Sciences Research Council, National Institute …
Synthetic sleep EEG signal generation using latent diffusion models
B Aristimunha, RY de Camargo, S Chevallier, O Lucena, AG Thomas, ...
Deep Generative Models for Health Workshop NeurIPS 2023, 2023
Mandates: Wellcome Trust
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
Mandates: National Institute for Health Research, UK, Wellcome Trust
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
Mandates: UK Engineering and Physical Sciences Research Council, National Institute …
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
Mandates: Natural Sciences and Engineering Research Council of Canada
Assessing informative tract segmentation and nTMS for pre-operative planning
O Lucena, JP Lavrador, H Irzan, C Semedo, P Borges, F Vergani, ...
Journal of Neuroscience Methods 396, 109933, 2023
Mandates: UK Engineering and Physical Sciences Research Council, Wellcome Trust
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