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08/17/2023
ICoNIK: Generating Respiratory-Resolved Abdominal MR Reconstructions Using Neural Implicit Representations in k-Space
Motion-resolved reconstruction for abdominal magnetic resonance imaging ...
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08/15/2023
The Challenge of Fetal Cardiac MRI Reconstruction Using Deep Learning
Dynamic free-breathing fetal cardiac MRI is one of the most challenging ...
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07/24/2023
Global k-Space Interpolation for Dynamic MRI Reconstruction using Masked Image Modeling
In dynamic Magnetic Resonance Imaging (MRI), k-space is typically unders...
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05/11/2023
Deep Learning for Retrospective Motion Correction in MRI: A Comprehensive Review
Motion represents one of the major challenges in magnetic resonance imag...
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02/05/2023
Reconstruction-driven motion estimation for motion-compensated MR CINE imaging
In cardiac CINE, motion-compensated MR reconstruction (MCMR) is an effec...
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12/16/2022
Neural Implicit k-Space for Binning-free Non-Cartesian Cardiac MR Imaging
In this work, we propose a novel image reconstruction framework that dir...
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09/08/2022
Learning-based and unrolled motion-compensated reconstruction for cardiac MR CINE imaging
Motion-compensated MR reconstruction (MCMR) is a powerful concept with c...
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05/02/2022
A Deep Learning-based Integrated Framework for Quality-aware Undersampled Cine Cardiac MRI Reconstruction and Analysis
Cine cardiac magnetic resonance (CMR) imaging is considered the gold sta...
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03/23/2022
Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging
Physics-driven deep learning methods have emerged as a powerful tool for...
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03/01/2022
Differentially private training of residual networks with scale normalisation
We investigate the optimal choice of replacement layer for Batch Normali...
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12/07/2021
GraDIRN: Learning Iterative Gradient Descent-based Energy Minimization for Deformable Image Registration
We present a Gradient Descent-based Image Registration Network (GraDIRN)...
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10/07/2021
Complex-valued deep learning with differential privacy
We present ζ-DP, an extension of differential privacy (DP) to complex-va...
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09/22/2021
The Impact of Domain Shift on Left and Right Ventricle Segmentation in Short Axis Cardiac MR Images
Domain shift refers to the difference in the data distribution of two da...
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09/16/2021
Quality-aware Cine Cardiac MRI Reconstruction and Analysis from Undersampled k-space Data
Cine cardiac MRI is routinely acquired for the assessment of cardiac hea...
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02/12/2021
Bayesian Uncertainty Estimation of Learned Variational MRI Reconstruction
Recent deep learning approaches focus on improving quantitative scores o...
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08/10/2020
CG-SENSE revisited: Results from the first ISMRM reproducibility challenge
Purpose: The aim of this work is to shed light on the issue of reproduci...
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07/12/2020
Deep Network Interpolation for Accelerated Parallel MR Image Reconstruction
We present a deep network interpolation strategy for accelerated paralle...
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12/18/2019
Σ-net: Systematic Evaluation of Iterative Deep Neural Networks for Fast Parallel MR Image Reconstruction
Purpose: To systematically investigate the influence of various data con...
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12/11/2019
Σ-net: Ensembled Iterative Deep Neural Networks for Accelerated Parallel MR Image Reconstruction
We explore an ensembled Σ-net for fast parallel MR imaging, including pa...
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04/01/2019
Deep Learning Methods for Parallel Magnetic Resonance Image Reconstruction
Following the success of deep learning in a wide range of applications, ...
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04/03/2017