Uncertainty modelling in deep learning for safer neuroimage enhancement: Demonstration in diffusion MRI

Bayesian QuickNAT: Model uncertainty in deep whole-brain segmentation for structure-wise quality control

(2019) Abhijit Guha Roy et al.   NEUROIMAGE

Cross-scanner and cross-protocol diffusion MRI data harmonisation: A benchmark database and evaluation of algorithms

(2019) Chantal MW. Tax et al.   NEUROIMAGE

Adversarial training with cycle consistency for unsupervised super-resolution in endomicroscopy

(2019) Daniele Ravì et al.   MEDICAL IMAGE ANALYSIS

Exploring uncertainty measures in deep networks for Multiple Sclerosis lesion detection and segmentation

(2019) Tanya Nair et al.   MEDICAL IMAGE ANALYSIS

Medical Image Synthesis with Deep Convolutional Adversarial Networks

(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