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ORCIDMarcelo V. W. Zibetti
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2020 – today
- 2023
[c10]Marcelo V. W. Zibetti, Ravinder R. Regatte:
Stochastic Bias-Accelerated Subset Selection Algorithm for Joint Learning of Sampling Pattern and Reconstruction in Accelerated MRI. ISBI 2023: 1-5- 2022
- [j14]Marcelo Victor Wüst Zibetti
, Florian Knoll, Ravinder R. Regatte:
Alternating Learning Approach for Variational Networks and Undersampling Pattern in Parallel MRI Applications. IEEE Trans. Computational Imaging 8: 449-461 (2022) - 2021
- [i4]Marcelo V. W. Zibetti, Florian Knoll, Ravinder R. Regatte:
Alternating Learning Approach for Variational Networks and Undersampling Pattern in Parallel MRI Applications. CoRR abs/2110.14703 (2021) - 2020
- [j13]Paulo R. Bueno, Marcelo V. W. Zibetti, Joaquim Miguel Maia:
Real-time ultrasound image reconstruction as an inverse problem on a GPU. J. Real Time Image Process. 17(3): 543-554 (2020) - [j12]Chuan Lin, Gabor T. Herman, Marcelo V. W. Zibetti:
Enhancement of the Kaczmarz algorithm with projection adjustment. Numer. Algorithms 85(2): 713-736 (2020) - [i3]Elias S. Helou, Marcelo V. W. Zibetti, Gabor T. Herman:
Fast Proximal Gradient Methods for Nonsmooth Convex Optimization for Tomographic Image Reconstruction. CoRR abs/2008.09720 (2020) - [i2]Marcelo V. W. Zibetti, Gabor T. Herman, Ravinder R. Regatte:
Fast Data-Driven Learning of MRI Sampling Pattern for Large Scale Problems. CoRR abs/2011.02322 (2020)
2010 – 2019
- 2019
- [j11]Marcelo Victor Wüst Zibetti, Elias Salomão Helou, Ravinder R. Regatte, Gabor T. Herman:
Monotone FISTA With Variable Acceleration for Compressed Sensing Magnetic Resonance Imaging. IEEE Trans. Computational Imaging 5(1): 109-119 (2019) - [i1]Elias S. Helou, Marcelo V. W. Zibetti, Leon Axel, Kai Tobias Block, Ravinder R. Regatte, Gabor T. Herman:
The Discrete Fourier Transform for Golden Angle Linogram Sampling. CoRR abs/1904.01152 (2019) - 2018
- [j10]Thiago Alberto Rigo Passarin, Marcelo Victor Wüst Zibetti, Daniel Rodrigues Pipa:
Sparse Ultrasound Imaging via Manifold Low-Rank Approximation and Non-Convex Greedy Pursuit. Sensors 18(12): 4097 (2018) - 2017
- [j9]Marcelo V. W. Zibetti, Alvaro R. De Pierro:
Improving compressive sensing in MRI with separate magnitude and phase priors. Multidimens. Syst. Signal Process. 28(4): 1109-1131 (2017) - [j8]Solivan A. Valente, Marcelo Victor Wüst Zibetti, Daniel R. Pipa, Joaquim Miguel Maia, Fabio Kurt Schneider:
An Assessment of Iterative Reconstruction Methods for Sparse Ultrasound Imaging. Sensors 17(3): 533 (2017) - [j7]Marcelo Victor Wüst Zibetti, Elias S. Helou, Daniel R. Pipa:
Accelerating Overrelaxed and Monotone Fast Iterative Shrinkage-Thresholding Algorithms With Line Search for Sparse Reconstructions. IEEE Trans. Image Process. 26(7): 3569-3578 (2017) - [c9]Thiago Alberto Rigo Passarin, Daniel R. Pipa, Marcelo Victor Wüst Zibetti:
A minimax dictionary expansion for sparse continuous reconstruction. EUSIPCO 2017: 2136-2140 - 2016
- [j6]Marcelo Victor Wüst Zibetti, Daniel R. Pipa, Alvaro R. De Pierro:
Fast and exact unidimensional L2-L1 optimization as an accelerator for iterative reconstruction algorithms. Digit. Signal Process. 48: 178-187 (2016) - 2015
- [j5]Giovanni Alfredo Guarneri, Daniel Rodrigues Pipa, Flávio Neves Junior, Lúcia Valéria Ramos de Arruda, Marcelo Victor Wüst Zibetti:
A Sparse Reconstruction Algorithm for Ultrasonic Images in Nondestructive Testing. Sensors 15(4): 9324-9343 (2015) - [c8]Marcelo Victor Wüst Zibetti, Elias S. Helou, Eduardo X. Miqueles, Alvaro R. De Pierro:
Accelerating the over-relaxed iterative shrinkage-thresholding algorithms with fast and exact line search for high resolution tomographic image reconstruction. ICIP 2015: 2305-2308 - 2014
- [c7]Tiago P. Vendruscolo, Marcelo V. W. Zibetti, Rodolfo L. Patyk, Guilherme Dutra, Rigoberto E. M. Morales, Cicero Martelli, Marco José Da Silva:
Development of NIR optical tomography system for the investigation of two-phase flows. I2MTC 2014: 1576-1579 - 2012
- [c6]Leonardo G. S. Zanin, Fabio Kurt Schneider, Marcelo Victor Wüst Zibetti:
Regularized Reconstruction of Ultrasonic Imaging and the Regularization Parameter Choice. BIOSIGNALS 2012: 438-442 - 2011
- [j4]Marcelo Victor Wüst Zibetti, Fermín S. V. Bazán, Joceli Mayer:
Estimation of the parameters in regularized simultaneous super-resolution. Pattern Recognit. Lett. 32(1): 69-78 (2011) - 2010
- [c5]Marcelo Victor Wüst Zibetti, Alvaro R. De Pierro:
Separate magnitude and phase regularization in MRI with incomplete data: preliminary results. ISBI 2010: 736-739
2000 – 2009
- 2009
- [j3]Marcelo Victor Wüst Zibetti, Alvaro R. De Pierro:
A New Distortion Model for Strong Inhomogeneity Problems in Echo-Planar MRI. IEEE Trans. Medical Imaging 28(11): 1736-1753 (2009) - 2008
- [j2]Marcelo Victor Wüst Zibetti, Fermín S. V. Bazán, Joceli Mayer:
Determining the regularization parameters for super-resolution problems. Signal Process. 88(12): 2890-2901 (2008) - [c4]Marcelo Victor Wüst Zibetti, Joceli Mayer, Fermín S. V. Bazán:
Determining the parameters in regularized super-resolution reconstruction. ICASSP 2008: 853-856 - [c3]Marcelo Victor Wüst Zibetti, Joceli Mayer, Fermín S. V. Bazán:
Regularized Simultaneous Super-Resolution with Automatic Determination of the Parameters. SIBGRAPI 2008: 171-178 - 2007
- [j1]Marcelo Victor Wüst Zibetti, Joceli Mayer:
A Robust and Computationally Efficient Simultaneous Super-Resolution Scheme for Image Sequences. IEEE Trans. Circuits Syst. Video Technol. 17(10): 1288-1300 (2007) - 2006
- [c2]Marcelo Victor Wüst Zibetti, Joceli Mayer:
Outlier Robust and Edge-Preserving Simultaneous Super-Resolution. ICIP 2006: 1741-1744 - 2005
- [c1]Marcelo Victor Wüst Zibetti, Joceli Mayer:
Simultaneous super-resolution for video sequences. ICIP (1) 2005: 877-880
Coauthor Index
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