Artigos de revistas sobre o tema "Imaging inverse problems"
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Ribes, Alejandro, e Francis Schmitt. "Linear inverse problems in imaging". IEEE Signal Processing Magazine 25, n.º 4 (julho de 2008): 84–99. http://dx.doi.org/10.1109/msp.2008.923099.
Texto completo da fonteGilton, Davis, Gregory Ongie e Rebecca Willett. "Model Adaptation for Inverse Problems in Imaging". IEEE Transactions on Computational Imaging 7 (2021): 661–74. http://dx.doi.org/10.1109/tci.2021.3094714.
Texto completo da fonteOksanen, Lauri, e Mikko Salo. "Inverse problems in imaging and engineering science". Mathematics in Engineering 2, n.º 2 (2020): 287–89. http://dx.doi.org/10.3934/mine.2020014.
Texto completo da fonteAbubakar, Aria, e Maokun Li. "Electromagnetic Inverse Problems for Sensing and Imaging". IEEE Antennas and Propagation Magazine 58, n.º 2 (abril de 2016): 17. http://dx.doi.org/10.1109/map.2016.2520879.
Texto completo da fonteKravchuk, Oleg, e Galyna Kriukova. "Regularization by Denoising for Inverse Problems in Imaging". Mohyla Mathematical Journal 5 (28 de dezembro de 2022): 57–61. http://dx.doi.org/10.18523/2617-70805202257-61.
Texto completo da fonteGilton, Davis, Gregory Ongie e Rebecca Willett. "Deep Equilibrium Architectures for Inverse Problems in Imaging". IEEE Transactions on Computational Imaging 7 (2021): 1123–33. http://dx.doi.org/10.1109/tci.2021.3118944.
Texto completo da fonteBryan, Kurt, e Tanya Leise. "Impedance Imaging, Inverse Problems, and Harry Potter's Cloak". SIAM Review 52, n.º 2 (janeiro de 2010): 359–77. http://dx.doi.org/10.1137/090757873.
Texto completo da fonteGilton, Davis, Greg Ongie e Rebecca Willett. "Neumann Networks for Linear Inverse Problems in Imaging". IEEE Transactions on Computational Imaging 6 (2020): 328–43. http://dx.doi.org/10.1109/tci.2019.2948732.
Texto completo da fonteOngie, Gregory, Ajil Jalal, Christopher A. Metzler, Richard G. Baraniuk, Alexandros G. Dimakis e Rebecca Willett. "Deep Learning Techniques for Inverse Problems in Imaging". IEEE Journal on Selected Areas in Information Theory 1, n.º 1 (maio de 2020): 39–56. http://dx.doi.org/10.1109/jsait.2020.2991563.
Texto completo da fonteHabring, Andreas, e Martin Holler. "A Generative Variational Model for Inverse Problems in Imaging". SIAM Journal on Mathematics of Data Science 4, n.º 1 (março de 2022): 306–35. http://dx.doi.org/10.1137/21m1414978.
Texto completo da fonteEbrahimi, M., e E. R. Vrscay. "Regularization schemes involving self-similarity in imaging inverse problems". Journal of Physics: Conference Series 124 (1 de julho de 2008): 012021. http://dx.doi.org/10.1088/1742-6596/124/1/012021.
Texto completo da fonteLewis D., John, Vanika Singhal e Angshul Majumdar. "Solving Inverse Problems in Imaging via Deep Dictionary Learning". IEEE Access 7 (2019): 37039–49. http://dx.doi.org/10.1109/access.2018.2881492.
Texto completo da fonteJin, Kyong Hwan, Michael T. McCann, Emmanuel Froustey e Michael Unser. "Deep Convolutional Neural Network for Inverse Problems in Imaging". IEEE Transactions on Image Processing 26, n.º 9 (setembro de 2017): 4509–22. http://dx.doi.org/10.1109/tip.2017.2713099.
Texto completo da fonteSzasz, Teodora, Adrian Basarab e Denis Kouame. "Beamforming Through Regularized Inverse Problems in Ultrasound Medical Imaging". IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 63, n.º 12 (dezembro de 2016): 2031–44. http://dx.doi.org/10.1109/tuffc.2016.2608939.
Texto completo da fonteTang, Junqi, Karen Egiazarian, Mohammad Golbabaee e Mike Davies. "The Practicality of Stochastic Optimization in Imaging Inverse Problems". IEEE Transactions on Computational Imaging 6 (2020): 1471–85. http://dx.doi.org/10.1109/tci.2020.3032101.
Texto completo da fonteKaasalainen1, Mikko, e Josef Ďurech. "Inverse problems of NEO photometry: Imaging the NEO population". Proceedings of the International Astronomical Union 2, S236 (agosto de 2006): 151–66. http://dx.doi.org/10.1017/s1743921307003195.
Texto completo da fonteRinkel, Jean, Jean Marie Polli e Eduardo X. Miqueles. "X-ray coherent diffraction imaging: Sequential inverse problems simulation". Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 912 (dezembro de 2018): 43–47. http://dx.doi.org/10.1016/j.nima.2017.10.032.
Texto completo da fonteRen, Kui, Rongting Zhang e Yimin Zhong. "Inverse transport problems in quantitative PAT for molecular imaging". Inverse Problems 31, n.º 12 (30 de novembro de 2015): 125012. http://dx.doi.org/10.1088/0266-5611/31/12/125012.
Texto completo da fonteVelikhovskyi, G. O., V. B. Molodkin, V. V. Lizunov, T. P. Vladimirova, S. V. Lizunova, Ya V. Vasylyk, M. P. Kulish, O. P. Dmytrenko, O. L. Pavlenko e Iu V. Davydova. "Solving of Direct and Inverse Scattering Problems for Heterogeneous Non-Crystalline Objects in Analyzer-Based Imaging". METALLOFIZIKA I NOVEISHIE TEKHNOLOGII 41, n.º 3 (26 de maio de 2019): 375–88. http://dx.doi.org/10.15407/mfint.41.03.0375.
Texto completo da fonteKwon, Kiwoon. "Uniqueness and Nonuniqueness in Inverse Problems for Elliptic Partial Differential Equations and Related Medical Imaging". Advances in Mathematical Physics 2015 (2015): 1–8. http://dx.doi.org/10.1155/2015/908251.
Texto completo da fonteGonzález-Rodríguez, Pedro, Arnold D. Kim e Chrysoula Tsogka. "Corrigendum: Quantitative signal subspace imaging (2021 Inverse Problems 37 125006)". Inverse Problems 38, n.º 4 (23 de fevereiro de 2022): 049501. http://dx.doi.org/10.1088/1361-6420/ac509e.
Texto completo da fonteTamburrino, A. "Monotonicity based imaging methods for elliptic and parabolic inverse problems". Journal of Inverse and Ill-posed Problems 14, n.º 6 (setembro de 2006): 633–42. http://dx.doi.org/10.1515/156939406778474578.
Texto completo da fonteSkinner, G. K., e T. J. Ponman. "Inverse problems in X-ray and gamma-ray astronomical imaging". Inverse Problems 11, n.º 4 (1 de agosto de 1995): 655–76. http://dx.doi.org/10.1088/0266-5611/11/4/004.
Texto completo da fonteDave, Akshat, Anil Kumar Vadathya, Ramana Subramanyam, Rahul Baburajan e Kaushik Mitra. "Solving Inverse Computational Imaging Problems Using Deep Pixel-Level Prior". IEEE Transactions on Computational Imaging 5, n.º 1 (março de 2019): 37–51. http://dx.doi.org/10.1109/tci.2018.2882698.
Texto completo da fonteSchirrmacher, Franziska, Christian Riess e Thomas Kohler. "Adaptive Quantile Sparse Image (AQuaSI) Prior for Inverse Imaging Problems". IEEE Transactions on Computational Imaging 6 (2020): 503–17. http://dx.doi.org/10.1109/tci.2019.2956888.
Texto completo da fonteRaghavan, K. R., e A. E. Yagle. "Forward and inverse problems in elasticity imaging of soft tissues". IEEE Transactions on Nuclear Science 41, n.º 4 (1994): 1639–48. http://dx.doi.org/10.1109/23.322961.
Texto completo da fonteMcCann, Michael T., Kyong Hwan Jin e Michael Unser. "Convolutional Neural Networks for Inverse Problems in Imaging: A Review". IEEE Signal Processing Magazine 34, n.º 6 (novembro de 2017): 85–95. http://dx.doi.org/10.1109/msp.2017.2739299.
Texto completo da fonteRaj, Raghu G. "A hierarchical Bayesian-MAP approach to inverse problems in imaging". Inverse Problems 32, n.º 7 (12 de maio de 2016): 075003. http://dx.doi.org/10.1088/0266-5611/32/7/075003.
Texto completo da fonteHosseini, Mahdi S., e Konstantinos N. Plataniotis. "Finite Differences in Forward and Inverse Imaging Problems: MaxPol Design". SIAM Journal on Imaging Sciences 10, n.º 4 (janeiro de 2017): 1963–96. http://dx.doi.org/10.1137/17m1118452.
Texto completo da fonteNarnhofer, Dominik, Andreas Habring, Martin Holler e Thomas Pock. "Posterior-Variance–Based Error Quantification for Inverse Problems in Imaging". SIAM Journal on Imaging Sciences 17, n.º 1 (7 de fevereiro de 2024): 301–33. http://dx.doi.org/10.1137/23m1546129.
Texto completo da fontePlessix, R. E. "A Helmholtz iterative solver for 3D seismic-imaging problems". GEOPHYSICS 72, n.º 5 (setembro de 2007): SM185—SM194. http://dx.doi.org/10.1190/1.2738849.
Texto completo da fonteGuzzi, Francesco, Alessandra Gianoncelli, Fulvio Billè, Sergio Carrato e George Kourousias. "Automatic Differentiation for Inverse Problems in X-ray Imaging and Microscopy". Life 13, n.º 3 (23 de fevereiro de 2023): 629. http://dx.doi.org/10.3390/life13030629.
Texto completo da fonteAnjit, Thathamkulam Agamanan, Ria Benny, Philip Cherian e Palayyan Mythili. "NON-ITERATIVE MICROWAVE IMAGING SOLUTIONS FOR INVERSE PROBLEMS USING DEEP LEARNING". Progress In Electromagnetics Research M 102 (2021): 53–63. http://dx.doi.org/10.2528/pierm21021304.
Texto completo da fonteHyun, Chang Min, Seong Hyeon Baek, Mingyu Lee, Sung Min Lee e Jin Keun Seo. "Deep learning-based solvability of underdetermined inverse problems in medical imaging". Medical Image Analysis 69 (abril de 2021): 101967. http://dx.doi.org/10.1016/j.media.2021.101967.
Texto completo da fonteLaves, Max-Heinrich, Malte Tölle, Alexander Schlaefer e Sandy Engelhardt. "Posterior temperature optimized Bayesian models for inverse problems in medical imaging". Medical Image Analysis 78 (maio de 2022): 102382. http://dx.doi.org/10.1016/j.media.2022.102382.
Texto completo da fonteLai, Ru-Yu, Kui Ren e Ting Zhou. "Inverse Transport and Diffusion Problems in Photoacoustic Imaging with Nonlinear Absorption". SIAM Journal on Applied Mathematics 82, n.º 2 (abril de 2022): 602–24. http://dx.doi.org/10.1137/21m1436178.
Texto completo da fonteKim, Yong Y., e Rakesh K. Kapania. "Neural Networks for Inverse Problems in Damage Identification and Optical Imaging". AIAA Journal 41, n.º 4 (abril de 2003): 732–40. http://dx.doi.org/10.2514/2.2004.
Texto completo da fonteAgarwal, Krishna, e Xudong Chen. "Applicability of MUSIC-Type Imaging in Two-Dimensional Electromagnetic Inverse Problems". IEEE Transactions on Antennas and Propagation 56, n.º 10 (outubro de 2008): 3217–23. http://dx.doi.org/10.1109/tap.2008.929434.
Texto completo da fonteOberai, Assad A., Nachiket H. Gokhale e Gonzalo R. Feij o. "Solution of inverse problems in elasticity imaging using the adjoint method". Inverse Problems 19, n.º 2 (6 de fevereiro de 2003): 297–313. http://dx.doi.org/10.1088/0266-5611/19/2/304.
Texto completo da fonteGoutsias, John I., e Jerry M. Mendel. "Inverse problems in two‐dimensional acoustic media: A linear imaging model". Journal of the Acoustical Society of America 81, n.º 5 (maio de 1987): 1471–85. http://dx.doi.org/10.1121/1.394500.
Texto completo da fonteKoo, Ja-Yong, e Peter T. Kim. "Sharp adaptation for spherical inverse problems with applications to medical imaging". Journal of Multivariate Analysis 99, n.º 2 (fevereiro de 2008): 165–90. http://dx.doi.org/10.1016/j.jmva.2006.06.007.
Texto completo da fonteScales, J. A., P. Docherty e A. Gersztenkorn. "Regularisation of nonlinear inverse problems: imaging the near-surface weathering layer". Inverse Problems 6, n.º 1 (1 de fevereiro de 1990): 115–31. http://dx.doi.org/10.1088/0266-5611/6/1/011.
Texto completo da fonteAnand, Christopher Kumar. "Robust Solvers for Inverse Imaging Problems Using Dense Single-Precision Hardware". Journal of Mathematical Imaging and Vision 33, n.º 1 (28 de agosto de 2008): 105–20. http://dx.doi.org/10.1007/s10851-008-0112-3.
Texto completo da fonteChen, Zhiming, e Shiqi Zhou. "A direct imaging method for half-space inverse elastic scattering problems". Inverse Problems 35, n.º 7 (25 de junho de 2019): 075004. http://dx.doi.org/10.1088/1361-6420/ab08ab.
Texto completo da fonteRepetti, Audrey, Marcelo Pereyra e Yves Wiaux. "Scalable Bayesian Uncertainty Quantification in Imaging Inverse Problems via Convex Optimization". SIAM Journal on Imaging Sciences 12, n.º 1 (janeiro de 2019): 87–118. http://dx.doi.org/10.1137/18m1173629.
Texto completo da fonteKim, Taewoo, Renjie Zhou, Lynford L. Goddard e Gabriel Popescu. "Solving inverse scattering problems in biological samples by quantitative phase imaging". Laser & Photonics Reviews 10, n.º 1 (16 de dezembro de 2015): 13–39. http://dx.doi.org/10.1002/lpor.201400467.
Texto completo da fonteEvangelista, Davide, Elena Morotti, Elena Loli Piccolomini e James Nagy. "Ambiguity in Solving Imaging Inverse Problems with Deep-Learning-Based Operators". Journal of Imaging 9, n.º 7 (30 de junho de 2023): 133. http://dx.doi.org/10.3390/jimaging9070133.
Texto completo da fonteHou, Songming, Yihong Jiang e Yuan Cheng. "Direct and Inverse Scattering Problems for Domains with Multiple Corners". International Journal of Partial Differential Equations 2015 (26 de janeiro de 2015): 1–9. http://dx.doi.org/10.1155/2015/968529.
Texto completo da fonteJi, Liya, Zhefan Rao, Sinno Jialin Pan, Chenyang Lei e Qifeng Chen. "A Diffusion Model with State Estimation for Degradation-Blind Inverse Imaging". Proceedings of the AAAI Conference on Artificial Intelligence 38, n.º 3 (24 de março de 2024): 2471–79. http://dx.doi.org/10.1609/aaai.v38i3.28023.
Texto completo da fonteDenker, Alexander, Maximilian Schmidt, Johannes Leuschner e Peter Maass. "Conditional Invertible Neural Networks for Medical Imaging". Journal of Imaging 7, n.º 11 (17 de novembro de 2021): 243. http://dx.doi.org/10.3390/jimaging7110243.
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