Automatic selection of regularization parameters for dynamic fluorescence molecular tomography: a comparison of L-curve and U-curve methods

Research article (Biomedical Optics Express, 2016) · cited 17× · AI/ML
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Automatic selection of regularization parameters for dynamic fluorescence molecular tomography: a comparison of L-curve and U-curve methods

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Automatic selection of regularization parameters for dynamic fluorescence molecular tomography: a comparison of L-curve and U-curve methods is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Automatic selection of regularization parameters for dynamic fluorescence molecular tomography: a comparison of L-curve and U-curve methods. Retrieved May 24, 2026, from https://4ort.xyz/entity/automatic-selection-of-regularization-parameters-for-dynamic-fluorescence-molecular-tomography-a-comparison-of-l-curve-a
MLA “Automatic selection of regularization parameters for dynamic fluorescence molecular tomography: a comparison of L-curve and U-curve methods.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/automatic-selection-of-regularization-parameters-for-dynamic-fluorescence-molecular-tomography-a-comparison-of-l-curve-a.
BibTeX @misc{4ortxyz_automatic-selection-of-regularization-parameters-for-dynamic-fluorescence-molecular-tomography-a-comparison-of-l-curve-a_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Automatic selection of regularization parameters for dynamic fluorescence molecular tomography: a comparison of L-curve and U-curve methods}}, year = {2026}, url = {https://4ort.xyz/entity/automatic-selection-of-regularization-parameters-for-dynamic-fluorescence-molecular-tomography-a-comparison-of-l-curve-a}, note = {Accessed: 2026-05-24}}
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