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Middle Frontal Gyrus and Area 55b: Perioperative Mapping and Language Outcomes

Frontiers in neurology, 2021-03, Vol.12, p.646075-646075

2021

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Informative and Reliable Tract Segmentation for Preoperative Planning

Frontiers in radiology, 2022-05, Vol.2, p.866974

2022

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Patient-specific prediction of SEEG electrode bending for stereotactic neurosurgical planning

International journal for computer assisted radiology and surgery, 2021-05, Vol.16 (5), p.789-798

2021

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

NeuroImage (Orlando, Fla.), 2018-04, Vol.170, p.482-494

2018

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

Artificial intelligence in medicine, 2019-07, Vol.98, p.48-58

2019

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Transfer Learning Using Convolutional Neural Networks for Face Anti-spoofing

Image Analysis and Recognition, p.27-34

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Assessing Informative Tract Segmentation and nTMS for Pre-operative Planning

Journal of neuroscience methods, 2023-08, Vol.396, p.109933-109933, Article 109933

2023

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Enhancing the estimation of fiber orientation distributions using convolutional neural networks

Computers in biology and medicine, 2021-08, Vol.135, p.104643-104643, Article 104643

2021

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

NeuroImage (Orlando, Fla.), 2018-04, Vol.170, p.482-494

2018

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

2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), 2018, p.1114-1117

2018

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

2019 32nd SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), 2019, p.234-240

2019

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Improving Face Detection Performance by Skin Detection Post-Processing

2017 30th SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), 2017, p.300-307

2017

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

2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), 2018, p.1344-1347

2018

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Towards Uncertainty Quantification for Electrode Bending Prediction in Stereotactic Neurosurgery

2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 2020, p.674-677

2020

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Convolutional Neural Networks for Fiber Orientation Distribution Enhancement to Improve Single-Shell Diffusion MRI Tractography

Computational Diffusion MRI, p.101-112

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A Machine Learning Approach to Predict Instrument Bending in Stereotactic Neurosurgery

Medical Image Computing and Computer Assisted Intervention – MICCAI 2018, p.238-246

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Middle Frontal Gyrus and Area 55b: Perioperative Mapping and Language Outcomes

Informative and Reliable Tract Segmentation for Preoperative Planning

Patient-specific prediction of SEEG electrode bending for stereotactic neurosurgical planning

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

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

Transfer Learning Using Convolutional Neural Networks for Face Anti-spoofing

Assessing Informative Tract Segmentation and nTMS for Pre-operative Planning

Enhancing the estimation of fiber orientation distributions using convolutional neural networks

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

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

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

Improving Face Detection Performance by Skin Detection Post-Processing

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

Towards Uncertainty Quantification for Electrode Bending Prediction in Stereotactic Neurosurgery

Convolutional Neural Networks for Fiber Orientation Distribution Enhancement to Improve Single-Shell Diffusion MRI Tractography

A Machine Learning Approach to Predict Instrument Bending in Stereotactic Neurosurgery

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