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Enhancing the estimation of fiber orientation distributions using convolutional neural networks.

, , , , , , and . Comput. Biol. Medicine, (2021)

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Reliability of using single specialist annotation for designing and evaluating automatic segmentation methods: A skull stripping case study., , , , , , , and . ISBI, page 1344-1347. IEEE, (2018)Improving Face Detection Performance by Skin Detection Post-Processing., , , and . SIBGRAPI, page 300-307. IEEE Computer Society, (2017)Enhancing the estimation of fiber orientation distributions using convolutional neural networks., , , , , , and . Comput. Biol. Medicine, (2021)Generative AI for Medical Imaging: extending the MONAI Framework., , , , , , , , , and 14 other author(s). CoRR, (2023)An open, multi-vendor, multi-field-strength brain MR dataset and analysis of publicly available skull stripping methods agreement., , , , , , , , and . NeuroImage, (2018)Towards Uncertainty Quantification for Electrode Bending Prediction in Stereotactic Neurosurgery., , , , , , , , , and . ISBI, page 674-677. IEEE, (2020)Silver standard masks for data augmentation applied to deep-learning-based skull-stripping., , , , and . ISBI, page 1114-1117. IEEE, (2018)Brain Extraction Network Trained with "Silver Standard" Data and Fine-Tuned with Manual Annotation for Improved Segmentation., , , , , , , and . SIBGRAPI, page 234-240. IEEE, (2019)A Machine Learning Approach to Predict Instrument Bending in Stereotactic Neurosurgery., , , , , , , , , and 1 other author(s). MICCAI (4), volume 11073 of Lecture Notes in Computer Science, page 238-246. Springer, (2018)Transfer Learning Using Convolutional Neural Networks for Face Anti-spoofing., , , , , and . ICIAR, volume 10317 of Lecture Notes in Computer Science, page 27-34. Springer, (2017)