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Image-Driven Biophysical Tumor Growth Model Calibration

SIAM Journal on Scientific Computing(2020)10.1137/19m1275280Source: DataRank Database

Image-Driven Biophysical Tumor Growth Model Calibration is a research paper published in SIAM Journal on Scientific Computing (2020). On theSindex it has a DataRank of 0. It has been cited 17 times.

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Open Access17 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (11 grants)OA: greenTopics (36)IDs (PubMed, PMC)

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Authors (5)

Shashank Subramanian ORCID,Andreas Mang ORCID,George Biros ORCID,Miriam Mehl,Klaudius Scheufele

Live enrichment

PubMed:33071533 PMC:PMC7561052

Defense Advanced Research Projects Agency

Grant: W911NF-115-2-0121

Air Force Office of Scientific Research

Grant: FA9550-17-1-0190

Office of Science

Grant: DE-SC0010518

Office of Science

Grant: DE-SC009286

National Institutes of Health

Grant: 10042242

National Science Foundation

Grant: CCF-1337393

Simons Foundation

Grant: 586055

NINDS NIH HHS

Grant: R01 NS042645

National Science Foundation

Grant: 1337393

XPS: DSD: A2MA - Algorithms and Architectures for Multiresolution Applications

Deutscher Akademischer Austauschdienst

Universität Stuttgart

greenLicense: arXiv Non-Exclusive Distribution

GREENhttps://arxiv.org/pdf/1907.07774

repositoryhttps://arxiv.org/pdf/1907.07774

publisherhttps://epubs.siam.org/doi/pdf/10.1137/19M1275280

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/7561052

https://doi.org/10.1137/19m1275280

Fields of Study

MedicineComputer ScienceMathematicsBiologyEngineering02 engineering and technology03 medical and health sciences0302 clinical medicine0202 electrical engineering, electronic engineering, information engineering

Keywords

image registration92C5049m2065n3565y05Biophysical Model CalibrationTumor Progression InversionPde-constrained Optimization35K4065K1049M15Picard IterationNumerical optimization and variational techniquesImage and Video Processing (eess.IV)Parallel numerical computationNumerical methods of relaxation typeElectrical Engineering and Systems Science - Image and Video ProcessingNewton-type methodsQuantitative Biology - Quantitative MethodsMedical applications (general)FOS: Biological sciencesFOS: Electrical engineering, electronic engineering, information engineeringNonlinear parabolic equationsInitial-boundary value problems for second-order parabolic systemsSpectral, collocation and related methods for boundary value problems involving PDEs35K40, 49M15, 49M20, 65K10, 65N35, 65Y05, 92C50Quantitative Methods (q-bio.QM)