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10 merged results for "Image and Signal Denoising Methods"

Partial results: at least one source did not answer. Available results are shown rather than treating an upstream outage as zero matches.

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  1. Low-dose CT denoising using a diffusion prior via score distillation sampling.

    Jung H, Lee J, Baek J · 2026 · Medical physics

    limited evidence Transparent signal score 43/100 · policy 1.0.0

    Found in pubmed · DOI 10.1002/mp.70707

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    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  2. Model-based image restoration targeting higher-dose digital mammography: Impact on radiologists' detection of clustered microcalcifications.

    Brandão RF, Borges LR, Sabino SMPS, Caron RF · 2026 · Medical physics

    limited evidence Transparent signal score 45/100 · policy 1.0.0

    Found in pubmed · DOI 10.1002/mp.70739

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    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  3. Characterization of local linearity in deep learning CT denoising networks.

    Fan KL, Li J, Abbey C, Lin CT · 2026 · Medical physics

    limited evidence Transparent signal score 45/100 · policy 1.0.0

    Found in pubmed · DOI 10.1002/mp.70756

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    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  4. Rep2Rep-Shuffle: Shuffled Repetition-to-Repetition Learning for Noise-Adaptive Self-Supervised MRI Denoising.

    Luo R, Janjušević N, Jain R, Pei H · 2026 · Magnetic resonance in medicine

    limited evidence Transparent signal score 43/100 · policy 1.0.0

    Found in pubmed · DOI 10.1002/mrm.70600

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    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  5. Enhanced Quantitative Accuracy in Single Molecule Imaging: A Fidelity-Guided Denoising Approach.

    Enayati A, Baird HM, Weyland MS, Petri-Fink A · 2026 · Biophysical journal

    limited evidence Transparent signal score 43/100 · policy 1.0.0

    Found in pubmed · DOI 10.1016/j.bpj.2026.10.023

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    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  6. Integrated deep learning reconstruction combining phase correction, denoising, and super-resolution for prostate diffusion-weighted imaging.

    Nishioka N, Onodera M, Kato D, Tsuneta S · 2026 · Magnetic resonance imaging

    limited evidence Transparent signal score 43/100 · policy 1.0.0

    Found in pubmed · DOI 10.1016/j.mri.2026.110841

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    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  7. Precise Alternation between Image-Forming Sample Planes Enables Quantitative Monitoring of Receptor-Arrestin Interaction Dynamics at the Plasma Membrane of Live Cells.

    Killeen TD, Stoneman MR, Popa I, Chen Q · 2026 · The journal of physical chemistry. B

    limited evidence Transparent signal score 45/100 · policy 1.0.0

    Found in pubmed · DOI 10.1021/acs.jpcb.6c02313

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    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  8. SRNR: Deep learning-based MRI super-resolution using noisy high-resolution reference data.

    Zhang M, Yang H, Li Z, Xiao J · 2026 · Imaging neuroscience (Cambridge, Mass.)

    limited evidence Transparent signal score 45/100 · policy 1.0.0

    Found in pubmed · DOI 10.1162/imag.a.1433

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    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  9. High-precision thickness measurement via dual-path oblique laser triangulation and spatial-topological constraints.

    Wang K, Yuan B, Xu Y, Zhang N · 2026 · Applied optics

    limited evidence Transparent signal score 43/100 · policy 1.0.0

    Found in pubmed · DOI 10.1364/ao.605323

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    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  10. MammoDiff: weakly supervised mammographic anomaly detection via classifier-guided denoising diffusion models-a real-world clinical study on the KHCC mammography cohort.

    Nasayreh A, Osman N, Tahoun L, Mansour A · 2026 · Frontiers in medical technology

    limited evidence Transparent signal score 45/100 · policy 1.0.0

    Found in pubmed · DOI 10.3389/fmedt.2026.1912196

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    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer