Adaptive Gaussian Weighted Laplace Prior Regularization Enables Accurate Morphological Reconstruction in Fluorescence Molecular Tomography

Research article (IEEE Transactions on Medical Imaging, 2019) · cited 50× · AI/ML
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Adaptive Gaussian Weighted Laplace Prior Regularization Enables Accurate Morphological Reconstruction in Fluorescence Molecular Tomography

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Adaptive Gaussian Weighted Laplace Prior Regularization Enables Accurate Morphological Reconstruction in Fluorescence Molecular Tomography is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Adaptive Gaussian Weighted Laplace Prior Regularization Enables Accurate Morphological Reconstruction in Fluorescence Molecular Tomography. Retrieved May 24, 2026, from https://4ort.xyz/entity/adaptive-gaussian-weighted-laplace-prior-regularization-enables-accurate-morphological-reconstruction-in-fluorescence-mo
MLA “Adaptive Gaussian Weighted Laplace Prior Regularization Enables Accurate Morphological Reconstruction in Fluorescence Molecular Tomography.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/adaptive-gaussian-weighted-laplace-prior-regularization-enables-accurate-morphological-reconstruction-in-fluorescence-mo.
BibTeX @misc{4ortxyz_adaptive-gaussian-weighted-laplace-prior-regularization-enables-accurate-morphological-reconstruction-in-fluorescence-mo_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Adaptive Gaussian Weighted Laplace Prior Regularization Enables Accurate Morphological Reconstruction in Fluorescence Molecular Tomography}}, year = {2026}, url = {https://4ort.xyz/entity/adaptive-gaussian-weighted-laplace-prior-regularization-enables-accurate-morphological-reconstruction-in-fluorescence-mo}, note = {Accessed: 2026-05-24}}
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