Uncertainty modelling in deep learning for safer neuroimage enhancement: Demonstration in diffusion MRI
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Title
Uncertainty modelling in deep learning for safer neuroimage enhancement: Demonstration in diffusion MRI
Authors
Keywords
Uncertainty quantification, Deep learning, Safety, Robustness, Interpretability, Super-resolution, Image enhancement, Image synthesis, Neuroimaging, Diffusion MRI, Tractography
Journal
NEUROIMAGE
Volume 225, Issue -, Pages 117366
Publisher
Elsevier BV
Online
2020-10-09
DOI
10.1016/j.neuroimage.2020.117366
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Note: Only part of the references are listed.- Bayesian QuickNAT: Model uncertainty in deep whole-brain segmentation for structure-wise quality control
- (2019) Abhijit Guha Roy et al. NEUROIMAGE
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- (2018) Dong Nie et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation
- (2018) Ozan Oktay et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction
- (2018) Guang Yang et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction
- (2018) Jo Schlemper et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Deep learning with domain adaptation for accelerated projection-reconstruction MR
- (2018) Yoseob Han et al. MAGNETIC RESONANCE IN MEDICINE
- MR fingerprinting Deep RecOnstruction NEtwork (DRONE)
- (2018) Ouri Cohen et al. MAGNETIC RESONANCE IN MEDICINE
- Efficient B-mode Ultrasound Image Reconstruction from Sub-sampled RF Data using Deep Learning
- (2018) Yeo Hun Yoon et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Image reconstruction by domain-transform manifold learning
- (2018) Bo Zhu et al. NATURE
- Extending the human connectome project across ages: Imaging protocols for the Lifespan development and aging projects
- (2018) Michael P. Harms et al. NEUROIMAGE
- Prediction of Isocitrate Dehydrogenase Genotype in Brain Gliomas with MRI: Single-Shell versus Multishell Diffusion Models
- (2018) Matteo Figini et al. RADIOLOGY
- Advances in Variational Inference
- (2018) Cheng Zhang et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Deep Convolutional Neural Network for Inverse Problems in Imaging
- (2017) Kyong Hwan Jin et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Automated image quality evaluation of T2 -weighted liver MRI utilizing deep learning architecture
- (2017) Steven J. Esses et al. JOURNAL OF MAGNETIC RESONANCE IMAGING
- Variational Inference: A Review for Statisticians
- (2017) David M. Blei et al. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
- Learning a variational network for reconstruction of accelerated MRI data
- (2017) Kerstin Hammernik et al. MAGNETIC RESONANCE IN MEDICINE
- Ensemble of expert deep neural networks for spatio-temporal denoising of contrast-enhanced MRI sequences
- (2017) A. Benou et al. MEDICAL IMAGE ANALYSIS
- Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation
- (2017) Konstantinos Kamnitsas et al. MEDICAL IMAGE ANALYSIS
- A survey on deep learning in medical image analysis
- (2017) Geert Litjens et al. MEDICAL IMAGE ANALYSIS
- A deep convolutional neural network using directional wavelets for low-dose X-ray CT reconstruction
- (2017) Eunhee Kang et al. MEDICAL PHYSICS
- Image quality transfer and applications in diffusion MRI
- (2017) Daniel C. Alexander et al. NEUROIMAGE
- Overcoming catastrophic forgetting in neural networks
- (2017) James Kirkpatrick et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- aLow-dose CT via convolutional neural network
- (2017) Hu Chen et al. Biomedical Optics Express
- FUIQA: Fetal Ultrasound Image Quality Assessment With Deep Convolutional Networks
- (2017) Lingyun Wu et al. IEEE Transactions on Cybernetics
- Classification of breast cancer histology images using Convolutional Neural Networks
- (2017) Teresa Araújo et al. PLoS One
- Leveraging uncertainty information from deep neural networks for disease detection
- (2017) Christian Leibig et al. Scientific Reports
- Image Super-Resolution Using Deep Convolutional Networks
- (2016) Chao Dong et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Inter-site and inter-scanner diffusion MRI data harmonization
- (2016) H. Mirzaalian et al. NEUROIMAGE
- MR image synthesis by contrast learning on neighborhood ensembles
- (2015) Amod Jog et al. MEDICAL IMAGE ANALYSIS
- Magnetic resonance fingerprinting
- (2013) Dan Ma et al. NATURE
- Mean apparent propagator (MAP) MRI: A novel diffusion imaging method for mapping tissue microstructure
- (2013) Evren Özarslan et al. NEUROIMAGE
- The WU-Minn Human Connectome Project: An overview
- (2013) David C. Van Essen et al. NEUROIMAGE
- The minimal preprocessing pipelines for the Human Connectome Project
- (2013) Matthew F. Glasser et al. NEUROIMAGE
- Advances in diffusion MRI acquisition and processing in the Human Connectome Project
- (2013) Stamatios N. Sotiropoulos et al. NEUROIMAGE
- Diffusion tensor imaging of white matter tract evolution over the lifespan
- (2011) C. Lebel et al. NEUROIMAGE
- Life-Span Changes of the Human Brain White Matter: Diffusion Tensor Imaging (DTI) and Volumetry
- (2009) L. T. Westlye et al. CEREBRAL CORTEX
- A Survey on Transfer Learning
- (2009) Sinno Jialin Pan et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Simulation of brain tumors in MR images for evaluation of segmentation efficacy
- (2008) Marcel Prastawa et al. MEDICAL IMAGE ANALYSIS
- Aleatory or epistemic? Does it matter?
- (2008) Armen Der Kiureghian et al. STRUCTURAL SAFETY
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