Learning a variational network for reconstruction of accelerated MRI data

q-Space Deep Learning: Twelve-Fold Shorter and Model-Free Diffusion MRI Scans

(2016) Vladimir Golkov et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Automatic Segmentation of MR Brain Images With a Convolutional Neural Network

(2016) Pim Moeskops et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Deep MRI brain extraction: A 3D convolutional neural network for skull stripping

(2016) Jens Kleesiek et al.   NEUROIMAGE

Inertial Proximal Alternating Linearized Minimization (iPALM) for Nonconvex and Nonsmooth Problems

(2016) Thomas Pock et al.   SIAM Journal on Imaging Sciences

An introduction to continuous optimization for imaging

(2016) Antonin Chambolle et al.   ACTA NUMERICA

A Perspective on Deep Imaging

(2016) Ge Wang   IEEE Access

Deep learning

(2015) Yann LeCun et al.   NATURE

Deep convolutional neural networks for multi-modality isointense infant brain image segmentation

(2015) Wenlu Zhang et al.   NEUROIMAGE

Reducing acquisition time in clinical MRI by data undersampling and compressed sensing reconstruction

(2015) Kieren Grant Hollingsworth   PHYSICS IN MEDICINE AND BIOLOGY

Dictionary Learning and Time Sparsity for Dynamic MR Data Reconstruction

(2014) Jose Caballero et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

ESPIRiT-an eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA

(2013) Martin Uecker et al.   MAGNETIC RESONANCE IN MEDICINE

Parallel imaging with nonlinear reconstruction using variational penalties

(2011) Florian Knoll et al.   MAGNETIC RESONANCE IN MEDICINE

MR Image Reconstruction From Highly Undersampled k-Space Data by Dictionary Learning

(2010) Saiprasad Ravishankar et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Total Generalized Variation

(2010) Kristian Bredies et al.   SIAM Journal on Imaging Sciences

Fields of Experts

(2009) Stefan Roth et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION