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Embedding Gradient-Based Optimization in Image Registration Networks

Medical Image Computing and Computer Assisted Intervention – MICCAI 2022, p.56-65

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Direct Cardiac Segmentation from Undersampled K-Space using Transformers

2024 IEEE International Symposium on Biomedical Imaging (ISBI), 2024, p.1-4

2024

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A multi-center milestone study of clinical vertebral CT segmentation

Computerized medical imaging and graphics, 2016-04, Vol.49, p.16-28

2016

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Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation

Medical Image Computing and Computer Assisted Intervention – MICCAI 2021, p.149-159

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Rapid estimation of 2D relative B 1 + -maps from localizers in the human heart at 7T using deep learning

Magnetic resonance in medicine, 2023-03, Vol.89 (3), p.1002-1015

2023

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Neural Implicit k-Space for Binning-Free Non-Cartesian Cardiac MR Imaging

Information Processing in Medical Imaging, p.548-560

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Variational Deep Learning for Low-Dose Computed Tomography

2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018, p.6687-6691

2018

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Rapid mono and biexponential 3D-T 1ρ mapping of knee cartilage using variational networks

Scientific reports, 2020-11, Vol.10 (1), p.19144

2020

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Sparse-View CT Reconstruction Using Wasserstein GANs

Machine Learning for Medical Image Reconstruction, p.75-82

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NISF: Neural Implicit Segmentation Functions

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023, p.734-744

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Trainable Regularization for Multi-frame Superresolution

Pattern Recognition, p.90-100

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Automatic Intervertebral Disc Localization and Segmentation in 3D MR Images Based on Regression Forests and Active Contours

Computational Methods and Clinical Applications for Spine Imaging, p.130-140

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Towards Generalised Neural Implicit Representations for Image Registration

Deep Generative Models, p.45-55

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Physics-Aware Motion Simulation For T2-Weighted Brain MRI

Simulation and Synthesis in Medical Imaging, 2023, Vol.14288, p.42-52

2023

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Evaluation of the Robustness of Learned MR Image Reconstruction to Systematic Deviations Between Training and Test Data for the Models from the fastMRI Challenge

Machine Learning for Medical Image Reconstruction, p.25-34

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Propagation and Attribution of Uncertainty in Medical Imaging Pipelines

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2023, p.1-11

2023

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Global k-Space Interpolation for Dynamic MRI Reconstruction Using Masked Image Modeling

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023, p.228-238

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The Challenge of Fetal Cardiac MRI Reconstruction Using Deep Learning

Perinatal, Preterm and Paediatric Image Analysis, p.64-74

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ICoNIK: Generating Respiratory-Resolved Abdominal MR Reconstructions Using Neural Implicit Representations in k-Space

Deep Generative Models, p.183-192

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The Impact of Domain Shift on Left and Right Ventricle Segmentation in Short Axis Cardiac MR Images

Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge, p.57-65

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Learning joint demosaicing and denoising based on sequential energy minimization

2016 IEEE International Conference on Computational Photography (ICCP), 2016, p.1-11

2016

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Quality-Aware Cine Cardiac MRI Reconstruction and Analysis from Undersampled K-Space Data

Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge, p.12-20

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Joint Multi-anatomy Training of a Variational Network for Reconstruction of Accelerated Magnetic Resonance Image Acquisitions

Machine Learning for Medical Image Reconstruction, p.71-79

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Machine learning for image reconstruction

Handbook of Medical Image Computing and Computer Assisted Intervention, 2019

2019

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Neural Implicit k-space with Trainable Periodic Activation Functions for Cardiac MR Imaging

Bildverarbeitung für die Medizin 2024, 2024, p.82-87

2024

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Embedding Gradient-Based Optimization in Image Registration Networks

Direct Cardiac Segmentation from Undersampled K-Space using Transformers

A multi-center milestone study of clinical vertebral CT segmentation

Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation

Rapid estimation of 2D relative B 1 + -maps from localizers in the human heart at 7T using deep learning

Neural Implicit k-Space for Binning-Free Non-Cartesian Cardiac MR Imaging

Variational Deep Learning for Low-Dose Computed Tomography

Rapid mono and biexponential 3D-T 1ρ mapping of knee cartilage using variational networks

Sparse-View CT Reconstruction Using Wasserstein GANs

NISF: Neural Implicit Segmentation Functions

Trainable Regularization for Multi-frame Superresolution

Automatic Intervertebral Disc Localization and Segmentation in 3D MR Images Based on Regression Forests and Active Contours

Towards Generalised Neural Implicit Representations for Image Registration

Physics-Aware Motion Simulation For T2-Weighted Brain MRI

Evaluation of the Robustness of Learned MR Image Reconstruction to Systematic Deviations Between Training and Test Data for the Models from the fastMRI Challenge

Propagation and Attribution of Uncertainty in Medical Imaging Pipelines

Global k-Space Interpolation for Dynamic MRI Reconstruction Using Masked Image Modeling

The Challenge of Fetal Cardiac MRI Reconstruction Using Deep Learning

ICoNIK: Generating Respiratory-Resolved Abdominal MR Reconstructions Using Neural Implicit Representations in k-Space

The Impact of Domain Shift on Left and Right Ventricle Segmentation in Short Axis Cardiac MR Images

Learning joint demosaicing and denoising based on sequential energy minimization

Quality-Aware Cine Cardiac MRI Reconstruction and Analysis from Undersampled K-Space Data

Joint Multi-anatomy Training of a Variational Network for Reconstruction of Accelerated Magnetic Resonance Image Acquisitions

Machine learning for image reconstruction

Neural Implicit k-space with Trainable Periodic Activation Functions for Cardiac MR Imaging

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