Non-convex sparse regularization approach framework for high multiple-source resolution in Cerenkov luminescence tomography

Research article (Optics Express, 2017) · cited 48× · AI/ML
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Non-convex sparse regularization approach framework for high multiple-source resolution in Cerenkov luminescence tomography

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Non-convex sparse regularization approach framework for high multiple-source resolution in Cerenkov luminescence tomography is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Non-convex sparse regularization approach framework for high multiple-source resolution in Cerenkov luminescence tomography. Retrieved May 24, 2026, from https://4ort.xyz/entity/non-convex-sparse-regularization-approach-framework-for-high-multiple-source-resolution-in-cerenkov-luminescence-tomogra
MLA “Non-convex sparse regularization approach framework for high multiple-source resolution in Cerenkov luminescence tomography.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/non-convex-sparse-regularization-approach-framework-for-high-multiple-source-resolution-in-cerenkov-luminescence-tomogra.
BibTeX @misc{4ortxyz_non-convex-sparse-regularization-approach-framework-for-high-multiple-source-resolution-in-cerenkov-luminescence-tomogra_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Non-convex sparse regularization approach framework for high multiple-source resolution in Cerenkov luminescence tomography}}, year = {2026}, url = {https://4ort.xyz/entity/non-convex-sparse-regularization-approach-framework-for-high-multiple-source-resolution-in-cerenkov-luminescence-tomogra}, note = {Accessed: 2026-05-24}}
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