Automated brain extraction of multisequence MRI using artificial neural networks
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David Bonekamp | Fabian Isensee | Wolfgang Wick | Martin Bendszus | Heinz-Peter Schlemmer | Marianne Schell | Sabine Heiland | Klaus Hermann Maier-Hein | Ulf Neuberger | Philipp Kickingereder | Irada Tursunova | Gianluca Brugnara | Antje Wick | S. Heiland | H. Schlemmer | D. Bonekamp | W. Wick | Klaus Maier-Hein | F. Isensee | P. Kickingereder | U. Neuberger | A. Wick | M. Bendszus | G. Brugnara | I. Tursunova | Marianne Schell | Fabian Isensee
[1] Peter König,et al. Data augmentation instead of explicit regularization , 2018, ArXiv.
[2] Heinz-Otto Peitgen,et al. The Skull Stripping Problem in MRI Solved by a Single 3D Watershed Transform , 2000, MICCAI.
[3] H. Prosper. Bayesian Analysis , 2000, hep-ph/0006356.
[4] Jian Chen,et al. Brain extraction using the watershed transform from markers , 2013, Front. Neuroinform..
[5] Seyed-Ahmad Ahmadi,et al. V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation , 2016, 2016 Fourth International Conference on 3D Vision (3DV).
[6] Stephen M. Smith,et al. A global optimisation method for robust affine registration of brain images , 2001, Medical Image Anal..
[7] Fang Liu,et al. Bayesian convolutional neural network based MRI brain extraction on nonhuman primates , 2018, NeuroImage.
[8] R W Cox,et al. AFNI: software for analysis and visualization of functional magnetic resonance neuroimages. , 1996, Computers and biomedical research, an international journal.
[9] Patrick van der Smagt,et al. CNN-based Segmentation of Medical Imaging Data , 2017, ArXiv.
[10] Guido Gerig,et al. Elastic model-based segmentation of 3-D neuroradiological data sets , 1999, IEEE Transactions on Medical Imaging.
[11] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[12] Klaus H. Maier-Hein,et al. Deep MRI brain extraction: A 3D convolutional neural network for skull stripping , 2016, NeuroImage.
[13] Thomas Brox,et al. U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.
[14] Klaus H. Maier-Hein,et al. Brain Tumor Segmentation and Radiomics Survival Prediction: Contribution to the BRATS 2017 Challenge , 2017, BrainLes@MICCAI.
[15] Christopher Joseph Pal,et al. Brain tumor segmentation with Deep Neural Networks , 2015, Medical Image Anal..
[16] P. Kalavathi,et al. Methods on Skull Stripping of MRI Head Scan Images—a Review , 2016, Journal of Digital Imaging.
[17] Paul M. Thompson,et al. Robust Brain Extraction Across Datasets and Comparison With Publicly Available Methods , 2011, IEEE Transactions on Medical Imaging.
[18] Richard M. Leahy,et al. BrainSuite: An Automated Cortical Surface Identification Tool , 2000, MICCAI.
[19] Anders M. Dale,et al. Cortical Surface-Based Analysis I. Segmentation and Surface Reconstruction , 1999, NeuroImage.
[20] Jian Sun,et al. Identity Mappings in Deep Residual Networks , 2016, ECCV.
[21] W. A. Hanson,et al. Interactive 3D segmentation of MRI and CT volumes using morphological operations. , 1992, Journal of computer assisted tomography.
[22] Brian B. Avants,et al. The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS) , 2015, IEEE Transactions on Medical Imaging.
[23] Richard Frayne,et al. An open, multi-vendor, multi-field-strength brain MR dataset and analysis of publicly available skull stripping methods agreement , 2017, NeuroImage.
[24] Konstantinos Kamnitsas,et al. Efficient multi‐scale 3D CNN with fully connected CRF for accurate brain lesion segmentation , 2016, Medical Image Anal..
[25] Christopher Joseph Pal,et al. The Importance of Skip Connections in Biomedical Image Segmentation , 2016, LABELS/DLMIA@MICCAI.
[26] D. Louis Collins,et al. BEaST: Brain extraction based on nonlocal segmentation technique , 2012, NeuroImage.
[27] Thomas Brox,et al. 3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation , 2016, MICCAI.