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1

Fluctuation-based deconvolution in fluorescence microscopy using plug-and-play denoisers
Stergiopoulou, Vasiliki ; Mukherjee, Subhadip ; Calatroni, Luca ; et al.
Scale Space and Variational Methods in Computer Vision. :498-510

Sardinia, Italy Fluorescence microscopy Image deconvolution Variational regularizati... Proximal Algorithms Plug-and-Play Prior …
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2

Convergent Regularization in Inverse Problems and Linear Plug-and-Play Denoisers
Hauptmann, Andreas ; Mukherjee, Subhadip ; Schönlieb, Carola-Bibiane ; et al.
Foundations of Computational Mathematics: The Journal of the Society for the Foundations of Computational Mathematics. 25(4):1087-1120

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3

Using ultrasonic attenuation in cortical bone to infer distributions on pore size
White, R.D. ; Alexanderian, A. ; Yousefian, O. ; et al.
Applied Mathematical Modelling. 109:819-832

Ultrasound Cortical Bone... Ultrasound Cortical Bone Polydisperse Waterman Truell Inverse Problems …
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4

Low Complexity Regularized Phase Retrieval
Godeme, Jean-Jacques ; Fadili, Jalal ; Equipe Image - Laboratoire GREYC - UMR6072 ; et al.

Phase retrieval Variational regularizati... Low complexity Sparsity Exact recovery Robustness …
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5

Moving force identification based on sparse representation and weighted total variational regularization
Chen, Zepeng ; Chen, Wenjia ; Wang, Zhan ; et al.
In Structures December 2025 82

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6

Regularization of inverse problems: deep equilibrium models versus bilevel learning
Riccio, Danilo ; Ehrhardt, Matthias J ; Benning, Martin
Riccio, D, Ehrhardt, M J & Benning, M 2024, ' Regularization of Inverse Problems : Deep Equilibrium Models versus Bilevel Learning ', Numerical Algebra, Control and Optimization . https://doi.org/10.3934/naco.2023026

bilevel optimization bilevel learning math.OC inverse problems variational regularizati... Deep learning …
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7

Student's t prior regularization and its application for image restoration
Tang, Cong ; Tang, Liming ; Fang, Zhuang
Inverse Problems and Imaging. 19:764-794

Variational methods appl... Methods involving semico... relaxation variational regularizati... Optimality conditions fo... Image processing (compre... …
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8

A Novel Numerical Approach for Solving Initial Value Problems in Heat Equations Using Variational Regularization and Intelligent Particle Swarm Optimization
H.K. Al-Mahdawi ; Kilan M. Hussien ; Ghassan K. Ali ; et al.
Proceedings of the International Conference on Applied Innovations in IT, Vol 13, Iss 2, Pp 289-295 (2025)

intelligent particle swa... regularization parameter variational regularizati... heat equation Electronic computers. Co... QA75.5-76.95 …
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9

Learning-enhanced variational regularization for electrical impedance tomography via Calderon's method
Li, Kai ; Shin, Kwancheol ; Zhou, Zhi
In Journal of Computational Physics 5 November 2025 541

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10

Computational Methods for Large-Scale Inverse Problems: A Survey on Hybrid Projection Methods
Chung J. ; Gazzola S.
Chung, J & Gazzola, S 2024, 'Computational methods for large-scale inverse problems : a survey on hybrid projection methods', Siam Review, vol. 66, no. 2, pp. 205-284. https://doi.org/10.1137/21M1441420

inverse problems Tikhonov regularization Computed tomography image deconvolution Krylov methods projection methods …
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11

Ρhase retrieval with non-Euclidean Bregman based geometry
Reconstruction de phase par la géométrie non-Euclidienne de Bregman
Godeme, Jean-Jacques ; Groupe de Recherche en Informatique, Image et Instrumentation de Caen (GREYC) ; Université de Caen Normandie (UNICAEN) ; et al.
Optimization and Control [math.OC]. Normandie Université, 2024. English. ⟨NNT : 2024NORMC214⟩

Exact recovery Sparsity Robustness Low complexity prior Variational regularizati... Phase retrieval, inverse... …
Dissertation
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12

Efficient learning methods for large-scale optimal inversion design
Julianne Chung ; Matthias Chung ; Silvia Gazzola ; et al.
Chung, J, Chung, M, Gazzola, S & Pasha, M 2024, 'Efficient learning methods for large-scale optimal inversion design', Numerical Algebra, Control and Optimization, vol. 14, no. 1, pp. 143-165. https://doi.org/10.3934/naco.2022036

name=Control and Optimiz... inverse problems name=Algebra and Number... Krylov projection method... learning priors variational regularizati... …
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13

Phase Retrieval with Non-Euclidean Bregman based Geometry
Reconstruction de phase avec la Géométrie non-Euclidienne à la Bregman
Godeme, Jean-Jacques ; Equipe Image - Laboratoire GREYC - UMR6072 ; Groupe de Recherche en Informatique, Image et Instrumentation de Caen (GREYC) ; et al.
Optimization and Control [math.OC]. Normandie Université, 2024. English. ⟨NNT : 2024NORMC214⟩

low complexity prior robustness trap avoidance exact recovery sparsity variational regularizati... …
Dissertation
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14

Variational model-based reconstruction techniques for multi-patch data in Magnetic Particle Imaging
Gapyak, Vladyslav ; März, Thomas ; Weinmann, Andreas
In Journal of Computational and Applied Mathematics 1 December 2024 451

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15

Guided regularization and its application for image restoration
Wu, Jiacheng ; Tang, Liming ; Ye, Biao ; et al.
In Applied Mathematical Modelling September 2024 133:436-459

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16

Regularized Discrete Optimal Transport
Ferradans, Sira ; Papadakis, Nicolas ; Rabin, Julien ; et al.
International Conference on Scale Space and Variational Methods in Computer Vision (SSVM'13). :428-439

Schloss Seggau, Leibnitz... Optimal Transport color transfer variational regularizati... convex optimization proximal splitting …
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17

A new denoising model for multi-frame super-resolution image reconstruction
Mourabit, Idriss, El ; El Rhabi, Mohammed ; Hakim, Abdelilah ; et al.
Signal Processing. 132:51-65

Tensor diffusion Variational regularizati... Super-resolution Multi-frame Image restoration [MATH]Mathematics [math] …
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18

Convex regularization in statistical inverse learning problems
Bubba T. A. ; Burger M. ; Helin T. ; et al.
Inverse problems and imaging 17(6), 1193-1225 (2023). doi:10.3934/ipi.2023013
Bubba, T, Burger, M, Helin, T & Ratti, L 2023, 'Convex regularization in statistical inverse learning problems', Inverse Problems and Imaging, vol. 17, no. 6, pp. 1193-1225. https://doi.org/10.3934/ipi.2023013

Variational regularizati... statistical learning error estimates Bregman distances computed tomography FOS: Computer and inform... …
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19

Poisson noise image restoration method based on variational regularization
Xiang, Jianhong ; Xiang, Hao ; Wang, Linyu
Signal, Image and Video Processing. 17(4):1555-1562

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20

Enhancing the spatial resolution of hyperpolarized carbon‐13 MRI of human brain metabolism using structure guidance
Ehrhardt, Matthias J ; Gallagher, Ferdia A ; McLean, Mary A ; et al.
Magnetic Resonance in Medicine. 87:1301-1312

Carbon Isotopes hyperpolarized 13C Phantoms, Imaging variational regularizati... Brain super-resolution …
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