Unsupervised deep learning for Bayesian brain MRI segmentation
暂无分享,去创建一个
Mert R. Sabuncu | Polina Golland | Bruce Fischl | Juan Eugenio Iglesias | Adrian V. Dalca | Evan M. Yu | J. E. Iglesias | P. Golland | B. Fischl | M. Sabuncu
[1] Thomas Brox,et al. U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.
[2] Nicholas Ayache,et al. A Log-Euclidean Framework for Statistics on Diffeomorphisms , 2006, MICCAI.
[3] Mert R. Sabuncu,et al. VoxelMorph: A Learning Framework for Deformable Medical Image Registration , 2018, IEEE Transactions on Medical Imaging.
[4] W. Eric L. Grimson,et al. Adaptive Segmentation of MRI Data , 1995, CVRMed.
[5] Ben Glocker,et al. TeTrIS: Template Transformer Networks for Image Segmentation With Shape Priors , 2019, IEEE Transactions on Medical Imaging.
[6] Frédo Durand,et al. Data augmentation using learned transforms for one-shot medical image segmentation , 2019, ArXiv.
[7] Mert R. Sabuncu,et al. Unsupervised Learning for Fast Probabilistic Diffeomorphic Registration , 2018, MICCAI.
[8] Carlos H. Acuña. The ADHD-200 Consortium: a model to advance the translational potential of neuroimaging in clinical neuroscience , 2012 .
[9] Stephen M. Smith,et al. Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm , 2001, IEEE Transactions on Medical Imaging.
[10] Randy L. Gollub,et al. The MCIC Collection: A Shared Repository of Multi-Modal, Multi-Site Brain Image Data from a Clinical Investigation of Schizophrenia , 2013, Neuroinformatics.
[11] Koenraad Van Leemput,et al. Automated model-based tissue classification of MR images of the brain , 1999, IEEE Transactions on Medical Imaging.
[12] Yuan Yu,et al. TensorFlow: A system for large-scale machine learning , 2016, OSDI.
[13] Karl J. Friston,et al. Unified segmentation , 2005, NeuroImage.
[14] Konstantinos Kamnitsas,et al. Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation , 2017, IEEE Transactions on Medical Imaging.
[15] D. Rubin,et al. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .
[16] Stephen M. Smith,et al. A Bayesian model of shape and appearance for subcortical brain segmentation , 2011, NeuroImage.
[17] Mert R. Sabuncu,et al. Anatomical Priors in Convolutional Networks for Unsupervised Biomedical Segmentation , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[18] Nikos Paragios,et al. Deformable Medical Image Registration: A Survey , 2013, IEEE Transactions on Medical Imaging.
[19] Amod Jog,et al. Pulse Sequence Resilient Fast Brain Segmentation , 2018, MICCAI.
[20] Daniel P. Kennedy,et al. The Autism Brain Imaging Data Exchange: Towards Large-Scale Evaluation of the Intrinsic Brain Architecture in Autism , 2013, Molecular Psychiatry.
[21] Bruce R. Rosen,et al. Brain Genomics Superstruct Project initial data release with structural, functional, and behavioral measures , 2015, Scientific Data.
[22] Anders M. Dale,et al. Sequence-independent segmentation of magnetic resonance images , 2004, NeuroImage.
[23] Ender Konukoglu,et al. Semi-Supervised and Task-Driven Data Augmentation , 2019, IPMI.
[24] Reisa A. Sperling,et al. Harvard Aging Brain Study: Dataset and accessibility , 2017, NeuroImage.
[25] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[26] Max A. Viergever,et al. End-to-End Unsupervised Deformable Image Registration with a Convolutional Neural Network , 2017, DLMIA/ML-CDS@MICCAI.
[27] Bruce Fischl,et al. FreeSurfer , 2012, NeuroImage.
[28] Hervé Delingette,et al. Learning a Probabilistic Model for Diffeomorphic Registration , 2018, IEEE Transactions on Medical Imaging.
[29] A. Dale,et al. Whole Brain Segmentation Automated Labeling of Neuroanatomical Structures in the Human Brain , 2002, Neuron.
[30] Konstantinos Kamnitsas,et al. Efficient multi‐scale 3D CNN with fully connected CRF for accurate brain lesion segmentation , 2016, Medical Image Anal..
[31] Sotirios A. Tsaftaris,et al. Deep Multi-Class Segmentation Without Ground-Truth Labels , 2018 .
[32] Max A. Viergever,et al. A deep learning framework for unsupervised affine and deformable image registration , 2018, Medical Image Anal..
[33] John G. Csernansky,et al. Open Access Series of Imaging Studies (OASIS): Cross-sectional MRI Data in Young, Middle Aged, Nondemented, and Demented Older Adults , 2007, Journal of Cognitive Neuroscience.
[34] Qiang Yang,et al. A Survey on Transfer Learning , 2010, IEEE Transactions on Knowledge and Data Engineering.
[35] A. Singleton,et al. The Parkinson Progression Marker Initiative (PPMI) , 2011, Progress in Neurobiology.
[36] Koenraad Van Leemput,et al. Fast and sequence-adaptive whole-brain segmentation using parametric Bayesian modeling , 2016, NeuroImage.