Andreas Hauptmann

Hamza Djelouat

Hirley Alves

IEEE Trans. Wirel. Commun., June, 2024

Graph convolutional networks enable fast hemorrhagic stroke monitoring with electrical impedance tomography.

[BibT_eX]

[DOI]

CoRR, 2024

Self-Supervised Denoiser Framework.

[BibT_eX]

[DOI]

Emilien Valat

Ozan Öktem

CoRR, 2024

A Multi-Filter and Multi-Scale U-Net for Cone-Beam Computed Tomography with Hardware Constraints.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Sequential Model Correction for Nonlinear Inverse Problems.

[BibT_eX]

[DOI]

Arttu Arjas

Mikko J. Sillanpää

SIAM J. Imaging Sci., December, 2023

Enhancement of instrumented ultrasonic tracking images using deep learning.

[BibT_eX]

[DOI]

Int. J. Comput. Assist. Radiol. Surg., February, 2023

Learned Reconstruction Methods With Convergence Guarantees: A survey of concepts and applications.

[BibT_eX]

[DOI]

IEEE Signal Process. Mag., 2023

Model-based reconstructions for quantitative imaging in photoacoustic tomography.

[BibT_eX]

[DOI]

Tanja Tarvainen

CoRR, 2023

Inverse Problems with Learned Forward Operators.

[BibT_eX]

[DOI]

Yury Korolev

CoRR, 2023

Electrical Impedance Tomography: A Fair Comparative Study on Deep Learning and Analytic-based Approaches.

[BibT_eX]

[DOI]

CoRR, 2023

Convergent regularization in inverse problems and linear plug-and-play denoisers.

[BibT_eX]

[DOI]

Subhadip Mukherjee

Ferdia Sherry

CoRR, 2023

Domain independent post-processing with graph U-nets: Applications to Electrical Impedance Tomographic Imaging.

[BibT_eX]

[DOI]

William Herzberg

Sarah Jane Hamilton

CoRR, 2023

Model-corrected learned primal-dual models for fast limited-view photoacoustic tomography.

[BibT_eX]

[DOI]

Jenni Poimala

CoRR, 2023

Robust Data-Driven Accelerated Mirror Descent.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Guest Editorial: MLSP 2020 Special Issue.

[BibT_eX]

[DOI]

J. Signal Process. Syst., 2022

A Model-Based Iterative Learning Approach for Diffuse Optical Tomography.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2022

An Educated Warm Start for Deep Image Prior-Based Micro CT Reconstruction.

[BibT_eX]

[DOI]

IEEE Trans. Computational Imaging, 2022

Unsupervised denoising for sparse multi-spectral computed tomography.

[BibT_eX]

[DOI]

CoRR, 2022

Sparsity promoting reconstructions via hierarchical prior models in diffuse optical tomography.

[BibT_eX]

[DOI]

CoRR, 2022

Reconstruction and segmentation from sparse sequential X-ray measurements of wood logs.

[BibT_eX]

[DOI]

CoRR, 2022

Learned reconstruction with convergence guarantees.

[BibT_eX]

[DOI]

CoRR, 2022

2021

Graph Convolutional Networks for Model-Based Learning in Nonlinear Inverse Problems.

[BibT_eX]

[DOI]

IEEE Trans. Computational Imaging, 2021

An Efficient Quasi-Newton Method for Nonlinear Inverse Problems via Learned Singular Values.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2021

On Learned Operator Correction in Inverse Problems.

[BibT_eX]

[DOI]

Sebastian Lunz

Tanja Tarvainen

SIAM J. Imaging Sci., 2021

Learning and correcting non-Gaussian model errors.

[BibT_eX]

[DOI]

J. Comput. Phys., 2021

Is Deep Image Prior in Need of a Good Education?

[BibT_eX]

[DOI]

CoRR, 2021

Neural Network Kalman filtering for 3D object tracking from linear array ultrasound data.

[BibT_eX]

[DOI]

CoRR, 2021

Unsupervised Knowledge-Transfer for Learned Image Reconstruction.

[BibT_eX]

[DOI]

CoRR, 2021

Material Decomposition in Spectral CT Using Deep Learning: A Sim2Real Transfer Approach.

[BibT_eX]

[DOI]

Juan F. P. J. Abascal

Nicolas Ducros

Valeriya Pronina

Simon Rit

Pierre-Antoine Rodesch

IEEE Access, 2021

2020

Multi-Scale Learned Iterative Reconstruction.

[BibT_eX]

[DOI]

IEEE Trans. Computational Imaging, 2020

Networks for Nonlinear Diffusion Problems in Imaging.

[BibT_eX]

[DOI]

J. Math. Imaging Vis., 2020

Machine Learning in Magnetic Resonance Imaging: Image Reconstruction.

[BibT_eX]

[DOI]

Javier Montalt-Tordera

Vivek Muthurangu

Jennifer Anne Steeden

CoRR, 2020

Quantifying Sources of Uncertainty in Deep Learning-Based Image Reconstruction.

[BibT_eX]

[DOI]

CoRR, 2020

Fusing electrical and elasticity imaging.

[BibT_eX]

[DOI]

Danny Smyl

CoRR, 2020

Deep Learning in Photoacoustic Tomography: Current approaches and future directions.

[BibT_eX]

[DOI]

Ben T. Cox

CoRR, 2020

On the unreasonable effectiveness of CNNs.

[BibT_eX]

[DOI]

Jonas Adler

CoRR, 2020

Image reconstruction in dynamic inverse problems with temporal models.

[BibT_eX]

[DOI]

Ozan Öktem

Carola Schönlieb

CoRR, 2020

Sequentially optimized projections in X-ray imaging.

[BibT_eX]

[DOI]

CoRR, 2020

Joint Reconstruction and Low-Rank Decomposition for Dynamic Inverse Problems.

[BibT_eX]

[DOI]

Simon Robert Arridge

Pascal Fernsel

CoRR, 2020

On Learned Operator Correction.

[BibT_eX]

[DOI]

Sebastian Lunz

Tanja Tarvainen

CoRR, 2020

Estimation of dynamic SNP-heritability with Bayesian Gaussian process models.

[BibT_eX]

[DOI]

Arttu Arjas

Mikko J. Sillanpää

Bioinform., 2020

Blind Hierarchical Deconvolution.

[BibT_eX]

[DOI]

Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020

Material Decomposition Problem in Spectral CT: A Transfer Deep Learning Approach.

[BibT_eX]

[DOI]

Juan F. P. J. Abascal

Proceedings of the 2020 IEEE 17th International Symposium on Biomedical Imaging Workshops (ISBI Workshops), 2020

Convolutional Neural Network for Material Decomposition in Spectral CT Scans.

[BibT_eX]

[DOI]

Suzanne Bussod

Juan F. P. J. Abascal

Proceedings of the 28th European Signal Processing Conference, 2020

2019

Rapid Whole-Heart CMR with Single Volume Super-resolution.

[BibT_eX]

[DOI]

Jennifer Anne Steeden

CoRR, 2019

2018

Model-Based Learning for Accelerated, Limited-View 3-D Photoacoustic Tomography.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2018

Deep D-Bar: Real-Time Electrical Impedance Tomography Imaging With Deep Neural Networks.

[BibT_eX]

[DOI]

Sarah Jane Hamilton