Joint Activity Detection and Channel Estimation for Clustered Massive Machine Type Communications
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Posts by Collection
accepted
Convergent regularization in inverse problems and linear plug-and-play denoisers
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portfolio
preprints
Unsupervised denoising for sparse multi-spectral computed tomography
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Model-corrected learned primal-dual models for fast limited-view photoacoustic tomography
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Electrical Impedance Tomography: A Fair Comparative Study on Deep Learning and Analytic-based Approaches
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Inverse Problems with Learned Forward Operators
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Model-based reconstructions for quantitative imaging in photoacoustic tomography
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publications
Total variation regularization for large-scale X-ray tomography
Published in International Journal of Tomography and Simulation, 2014
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A Data-Driven Edge-Preserving D-bar Method for Electrical Impedance Tomography
Published in Inverse Problems and Imaging, 2014
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Direct inversion from partial-boundary data in electrical impedance tomography
Published in Inverse Problems, 2017
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A Direct D-bar Method for Partial Boundary Data Electrical Impedance Tomography with A Priori Information
Published in Inverse Problems and Imaging, 2017
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Approximation of full-boundary data from partial-boundary electrode measurements
Published in Inverse Problems, 2017
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A variational reconstruction method for undersampled dynamic X-ray tomography based on physical motion models
Published in Inverse Problems, 2017
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Model-based learning for accelerated, limited-view 3-d photoacoustic tomography
Published in IEEE Transactions on Medical Imaging, 2018
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Deep D-Bar: Real-Time Electrical Impedance Tomography Imaging With Deep Neural Networks
Published in IEEE Transactions on Medical Imaging, 2018
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Approximate k-space models and Deep Learning for fast photoacoustic reconstruction
Published in Machine Learning for Medical Image Reconstruction, 2018
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Revealing cracks inside conductive bodies by electric surface measurements
Published in Inverse Problems, 2019
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Real-time cardiovascular MR with spatio-temporal artifact suppression using deep learning - proof of concept in congenital heart disease
Published in Magnetic Resonance in Medicine, 2019
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Application of Proximal Alternating Linearized Minimization (PALM) and inertial PALM to dynamic 3D CT
Published in Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, 2019
Beltrami-Net: Domain Independent Deep D-bar Learning for Absolute Imaging with Electrical Impedance Tomography (a-EIT)
Published in Physiological Measurement, 2019
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Networks for Nonlinear Diffusion Problems in Imaging
Published in Journal of Mathematical Imaging and Vision, 2020
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Estimation of dynamic SNP-heritability with Bayesian Gaussian process models
Published in Bioinformatics, 2020
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Multi-Scale Learned Iterative Reconstruction
Published in IEEE Transactions on Computational Imaging, 2020
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Material Decomposition problem in spectral CT: A transfer deep learning approach
Published in 2020 IEEE ISBI Workshops: Deep Learning for Biomedical Image Reconstruction, 2020
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On the unreasonable effectiveness of CNNs
Published in (non peer-reviewed) technical report on TechRxiv, 2020
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Rapid Whole-Heart CMR with Single Volume Super-resolution
Published in Journal of Cardiovascular Magnetic Resonance, 2020
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Towards accurate quantitative photoacoustic imaging: learning vascular blood oxygen saturation in 3D
Published in Journal of Biomedical Optics, 2020
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Deep Learning in Photoacoustic Tomography: Current approaches and future directions
Published in Journal of Biomedical Optics, 2020
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Blind hierarchical deconvolution
Published in IEEE Machine Learning and Signal Processing (MLSP), 2020
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Quantifying Sources of Uncertainty in Deep Learning-Based Image Reconstruction
Published in NeurIPS 2020 Deep Inverse Workshop, 2020
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Convolutional Neural Network for Material Decomposition in Spectral CT scans
Published in 28th European Signal Processing Conference (EUSIPCO 2020), 2021
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Material Decomposition in Spectral CT using deep learning: A Sim2Real transfer approach
Published in IEEE Access, 2021
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On Learned Operator Correction in Inverse Problems
Published in SIAM Journal on Imaging Sciences, 2021
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Image reconstruction in dynamic inverse problems with temporal models
Published in Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging, 2021
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Learning and correcting non-Gaussian model errors
Published in Journal of Computational Physics, 2021
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Machine Learning in Magnetic Resonance Imaging: Image Reconstruction
Published in Physica Medica, 2021
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An efficient Quasi-Newton method for nonlinear inverse problems via learned singular values
Published in IEEE Signal Processing Letters, 2021
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Fusing electrical and elasticity imaging
Published in Philosophical Transactions of the Royal Society A, 2021
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Sequentially optimized projections in X-ray imaging
Published in Inverse Problems, 2021
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Graph Convolutional Networks for Model-Based Learning in Nonlinear Inverse Problems
Published in IEEE Transactions on Computational Imaging, 2021
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Structural engineering from an inverse problems perspective
Published in Proceedings of the Royal Society A, 2022
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Deep Learning for Instrumented Ultrasonic Tracking: From synthetic training data to in vivo application
Published in IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 2022
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NeuralLasso: Neural Networks Meet Lasso in Genomic Prediction
Published in Frontiers in Plant Science, 2022
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A model-based iterative learning approach for diffuse optical tomography
Published in IEEE Transactions on Medical Imaging, 2022
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Neural Network Kalman filtering for 3D object tracking from linear array ultrasound data
Published in IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 2022
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Joint Reconstruction and Low-Rank Decomposition for Dynamic Inverse Problems
Published in Inverse Problems and Imaging, 2022
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Hierarchical Deconvolution for Incoherent Scatter Radar Data
Published in Atmospheric Measurement Techniques, 2022
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Unsupervised Knowledge-Transfer for Learned Image Reconstruction
Published in Inverse Problems, 2022
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An Educated Warm Start For Deep Image Prior-Based Micro CT Reconstruction
Published in IEEE Transactions on Computational Imaging, 2022
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Enhancement of instrumented ultrasonic tracking images using deep learning
Published in International Journal of Computer Assisted Radiology and Surgery, 2023
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Learned Reconstruction Methods With Convergence Guarantees: A survey of concepts and applications
Published in IEEE Signal Processing Magazine, 2023
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Robust Data-Driven Accelerated Mirror Descent
Published in IEEE International Conference on Acoustics, Speech and Signal Processing, 2023
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Reconstruction and segmentation from sparse sequential X-ray measurements of wood logs
Published in Applied Mathematics for Modern Challenges, 2023
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Sequential model correction for nonlinear inverse problems
Published in SIAM Journal on Imaging Science, 2023
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Domain independent post-processing with graph U-nets: Applications to Electrical Impedance Tomographic Imaging
Published in Physiological Measurement, 2023
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Sparsity promoting reconstructions via hierarchical prior models in diffuse optical tomography
Published in Inverse Problems and Imaging, 2024
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Compensating unknown speed of sound in learned fast 3D limited-view photoacoustic tomography
Published in Photoacoustics, 2024
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