2021
A Simple Recovery Framework for Signals with Time-Varying Sparse Support
Durgin N, Grotheer R, Huang C, Li S, Ma A, Needell D, Qin J. A Simple Recovery Framework for Signals with Time-Varying Sparse Support. Association For Women In Mathematics Series 2021, 26: 211-230. DOI: 10.1007/978-3-030-79891-8_9.Peer-Reviewed Original Research
2019
Fast Hyperspectral Diffuse Optical Imaging Method with Joint Sparsity
Durgin N, Grotheer R, Huang C, Li S, Ma A, Needell D, Qin J. Fast Hyperspectral Diffuse Optical Imaging Method with Joint Sparsity. Annual International Conference Of The IEEE Engineering In Medicine And Biology Society (EMBC) 2019, 00: 4758-4761. PMID: 31946925, DOI: 10.1109/embc.2019.8857069.Peer-Reviewed Original ResearchConceptsDiffuse optical tomographyDOT inverse problemHigh reconstruction accuracyJoint sparsityMultiple measurement vector (MMV) problemOptical imaging methodsNumerical resultsOptical tomographyGradient descent methodReconstruction accuracyAbsorption coefficientDOT dataNumber of wavelengthsDOT imagesImportant functional imaging modalityInverse problemImaging methodDescent methodFunctional imaging modalitiesStochastic greedy algorithm