نتائج البحث

PPFM: Image Denoising in Photon-Counting CT Using Single-Step Posterior Sampling Poisson Flow Generative Models

• Authors : Hein, Dennis; Holmin, Staffan; Szczykutowicz, Timothy

Subjects: Computed tomography; Noise; Photonics

• Source: IEEE TRANSACTIONS ON RADIATION AND PLASMA MEDICAL SCIENCES. 8(7):788-799

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PPFM: Image Denoising in Photon-Counting CT Using Single-Step Posterior Sampling Poisson Flow Generative Models

• Authors : Hein, D; Holmin, S; Szczykutowicz, T

• Source: IEEE TRANSACTIONS ON RADIATION AND PLASMA MEDICAL SCIENCES. 8(7):788-799

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Noise suppression in photon-counting computed tomography using unsupervised Poisson flow generative models

• Authors : Hein, Dennis; Holmin, Staffan; Szczykutowicz, Timothy

Subjects: Deep learning; Denoising; Diffusion models

• Source: Visual Computing for Industry, Biomedicine, and Art. 7(1)

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pop-cosmos: Scaleable Inference of Galaxy Properties and Redshifts with a Data-driven Population Model

• Authors : Thorp, Stephen, 1996; Alsing, Justin, 1988; Peiris, Hiranya, 1974

• Source: Astrophysical Journal. 975(1)

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Photo-Realistic Image Restoration in the Wild with Controlled Vision-Language Models

• Authors : Luo, Ziwei; Gustafsson, Fredrik K.; Zhao, Zheng

• Source: 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops CVPRW 2024 IEEE Computer Society Conference on Computer Vision and Pattern Recognition workshops : [proceedings].

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Deep learning approaches for denoising, artifact correction, and radiology report generation in CT and chest X-ray imaging

• Authors : Hein, Dennis;

Subjects: CT; photon-counting CT; chest X-rays

• Source: TRITA-SCI-FOU.

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Variational inference for acceleration of SN Ia photometric distance estimation with BayeSN

• Authors : Uzsoy, Ana Sofía M.; Thorp, Stephen, 1996; Grayling, Matthew

Subjects: distance scale; dust; extinction

• Source: Monthly notices of the Royal Astronomical Society. 535(3):2306-2321

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Bayesian modelling of effective and functional brain connectivity using hierarchical vector autoregressions

• Authors : Wegmann, Bertil; Lundquist, Anders; Eklund, Anders

Subjects: Bayesian inference; effective connectivity; functional connectivity

• Source: The Journal of the Royal Statistical Society, Series C. 73(4):835-856

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Bayesian modelling of effective and functional brain connectivity using hierarchical vector autoregressions

• Authors : Wegmann, Bertil; Lundquist, Anders, 1978; Eklund, Anders

Subjects: Bayesian inference; effective connectivity; functional connectivity

• Source: The Journal of the Royal Statistical Society, Series C. 74(4):835-856

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The autocorrelated Bayesian sampler: A rational process for probability judgments, estimates, confidence intervals, choices, confidence judgments, and response times

• Authors : Zhu, Jian-Qiao; Sundh, Joakim, 1986; Spicer, Jake

Subjects: behavioral science; sampling; Bayesian models of cognition

• Source: Psychological review. 131(2):456-493

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