Hyperspectral image compressed sensing via low-rank and joint-sparse matrix recovery von Golbabaee, M., Vandergheynst, P.

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Joint trace/TV norm minimization: A new efficient approach for spectral compressive imaging von Golbabaee, M., Vandergheynst, P.

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Model selection with low complexity priors von Vaiter, Samuel, Golbabaee, Mohammad, Fadili, Jalal, Peyré, Gabriel

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9O Pancreatic cancer risk in individuals with newly diagnosed diabetes: Insights from the AMORIS cohort in Sweden von Zhang, Z., Carlsson, S., Hammar, N., Acedo Nunez, M.D.P., Brennan, P., Oldfield, L., Golbabaee, M., Sarker, D., Kordasti, S., Kunzmann, A., van Hemelrijck, M., Santaolalla, A.

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Light field compressive sensing in camera arrays von Hosseini Kamal, Mahdad, Golbabaee, M., Vandergheynst, P.

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Distributed compressed sensing of Hyperspectral images via blind source separation von Golbabaee, M, Arberet, S, Vandergheynst, P

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Preparation of the g-Al(2)O(3)/PANI Nanocomposite via Enzymatic Polymerization von Nabid, M R, Golbabaee, M, Moghaddam, A B, Mahdavian, A R, Amini, M M

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Average case analysis of sparse recovery with thresholding : New bounds based on average dictionary coherence von Golbabaee, M., Vandergheynst, P.

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Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14) von Jacques, L, De Vleeschouwer, C, Boursier, Y, Sudhakar, P, De Mol, C, Pizurica, A, Anthoine, S, Vandergheynst, P, Frossard, P, Bilen, C, Kitic, S, Bertin, N, Gribonval, R, Boumal, N, Mishra, B, Absil, P. -A, Sepulchre, R, Bundervoet, S, Schretter, C, Dooms, A, Schelkens, P, Chabiron, O, Malgouyres, F, Tourneret, J. -Y, Dobigeon, N, Chainais, P, Richard, C, Cornelis, B, Daubechies, I, Dunson, D, Dankova, M, Rajmic, P, Degraux, K, Cambareri, V, Geelen, B, Lafruit, G, Setti, G, Determe, J. -F, Louveaux, J, Horlin, F, Drémeau, A, Heas, P, Herzet, C, Duval, V, Peyré, G, Fawzi, A, Davies, M, Gillis, N, Vavasis, S. A, Soussen, C, Magoarou, L. Le, Liang, J, Fadili, J, Liutkus, A, Martina, D, Gigan, S, Daudet, L, Maggioni, M, Minsker, S, Strawn, N, Mory, C, Ngole, F, Starck, J. -L, Loris, I, Vaiter, S, Golbabaee, M, Vukobratovic, D

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Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14) von Jacques, L, De Vleeschouwer, C, Boursier, Y, Sudhakar, P, De Mol, C, Pizurica, A, Anthoine, S, Vandergheynst, P, Frossard, P, Bilen, C, Kitic, S, Bertin, N, Gribonval, R, Boumal, N, Mishra, B, P -A Absil, Sepulchre, R, Bundervoet, S, Schretter, C, Dooms, A, Schelkens, P, Chabiron, O, Malgouyres, F, J -Y Tourneret, Dobigeon, N, Chainais, P, Richard, C, Cornelis, B, Daubechies, I, Dunson, D, Dankova, M, Rajmic, P, Degraux, K, Cambareri, V, Geelen, B, Lafruit, G, Setti, G, J -F Determe, Louveaux, J, Horlin, F, Drémeau, A, Heas, P, Herzet, C, Duval, V, Peyré, G, Fawzi, A, Davies, M, Gillis, N, Vavasis, S A, Soussen, C, L Le Magoarou, Liang, J, Fadili, J, Liutkus, A, Martina, D, Gigan, S, Daudet, L, Maggioni, M, Minsker, S, Strawn, N, Mory, C, Ngole, F, J -L Starck, Loris, I, Vaiter, S, Golbabaee, M, Vukobratovic, D

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Accelerated 3D whole-brain T1, T2, and proton density mapping: feasibility for clinical glioma MR imaging von Pirkl, Carolin M., Nunez-Gonzalez, Laura, Kofler, Florian, Endt, Sebastian, Grundl, Lioba, Golbabaee, Mohammad, Gómez, Pedro A., Cencini, Matteo, Buonincontri, Guido, Schulte, Rolf F., Smits, Marion, Wiestler, Benedikt, Menze, Bjoern H., Menzel, Marion I., Hernandez-Tamames, Juan A.

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Compressive MRI quantification using convex spatiotemporal priors and deep encoder-decoder networks von Golbabaee, Mohammad, Buonincontri, Guido, Pirkl, Carolin M., Menzel, Marion I., Menze, Bjoern H., Davies, Mike, Gómez, Pedro A.

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Accelerated 3D whole-brain T1, T2, and proton density mapping: feasibility for clinical glioma MR imaging von Pirkl, Carolin M, Nunez-Gonzalez, Laura, Kofler, Florian, Endt, Sebastian, Grundl, Lioba, Golbabaee, Mohammad, Gómez, Pedro A, Cencini, Matteo, Buonincontri, Guido, Schulte, Rolf F, Smits, Marion, Wiestler, Benedikt, Menze, Bjoern H, Menzel, Marion I, Hernandez-Tamames, Juan A

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A Plug-and-Play Approach To Multiparametric Quantitative MRI: Image Reconstruction Using Pre-Trained Deep Denoisers von Fatania, Ketan, Pirkl, Carolin M., Menzel, Marion I., Hall, Peter, Golbabaee, Mohammad

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Denoising Diffusion Probabilistic Models for Magnetic Resonance Fingerprinting von Mayo, Perla, Pirkl, Carolin M, Achim, Alin, Menze, Bjoern H, Golbabaee, Mohammad

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StoDIP: Efficient 3D MRF image reconstruction with deep image priors and stochastic iterations von Mayo, Perla, Cencini, Matteo, Pirkl, Carolin M, Menzel, Marion I, Tosetti, Michela, Menze, Bjoern H, Golbabaee, Mohammad

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Deep Image Priors for Magnetic Resonance Fingerprinting with pretrained Bloch-consistent denoising autoencoders von Mayo, Perla, Cencini, Matteo, Fatania, Ketan, Pirkl, Carolin M, Menzel, Marion I, Menze, Bjoern H, Tosetti, Michela, Golbabaee, Mohammad

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Wavelet preconditioning for the three fields formulation: Numerical results in conforming decomposition von Golbabaee, A., Mokhtarzadeh, M.R., Chegini, N.G., Mokhtary, R.

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Nonlinear Equivariant Imaging: Learning Multi-Parametric Tissue Mapping without Ground Truth for Compressive Quantitative MRI von Fatania, Ketan, Chau, Kwai Y, Pirkl, Carolin M, Menzel, Marion I, Hall, Peter, Golbabaee, Mohammad

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Suitable iterative methods for solving the linear system arising in the three fields domain decomposition method von Mokhtarzadeh, M.R., Golbabaee, A., Mokhtary, R., Chegini, N.G.

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