Faculty

Institution

Unit

Venue

Daniela Calvetti

James Wood Williamson Professor

Case Western Reserve University

Affiliations

College of Arts and Sciences

Department of Cognitive Science

Department of Mathematics, Applied Mathematics, and Statistics

Daniela Calvetti is currently serving as a College Of Arts And Sciences James Wood Williamson Professor at Case Western Reserve University.

Honors

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Experiences

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Education

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Daniela Calvetti

Case Western Reserve University

James Wood Williamson Professor

You can click a keyword to filter the displayed items

applied mathematics computer science machine learning inverse problems neuroscience statistics numerical analysis mathematical biology bayesian analysis computational mathematics scientific computing systems neuroscience linear algebra theoretical biology mathematical sciences graph theory optical engineering biomedical modeling brain science biomedical imaging mathematical bioscience mathematical optimization computability theory numerical simulations infectious disease modelling tikhonov regularization iterative methods bayesian scientific computing applied physiology image restoration matrix analysis brain modeling bayesian inference brain imaging matrix theory electrical impedance tomography numerical algorithms cerebral blood flow regularization (mathematics) neurochemistry numerical computation skeletal muscle neuroinformatics computational models ill-posed problems steady state subjective computing bayesian methods computational imaging nonlinear dynamics numerical mathematics biomedical analysis animal physiology computational epidemiology neural science human physiology exercise science cellular neurobiology graph sparsity monte carlo methods particle methods sequential monte carlo energy metabolism multiscale analysis source separation leja points hierarchical bayesian models large sylvester-observer equations parallel evaluation domain truncation artificial boundary conditions szego polynomials liver metabolism adaptive algorithms adaptive computing adaptive optimization uncertainty quantification quantitative biology natural computing systems biology biostatistics computational biology

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Bayesian Approach to Locally Varying Regularization in Optical Flow Velocimetry. (2024)

Gauresh Raj JassalErkki SomersaloDaniela CalvettiBryan Eric Schmidt

probability theoryapplied physicsbayesian analysisoptical flow velocimetry

Adaptive Anisotropic Bayesian Meshing for Inverse Problems. Inverse Problems (2024)

A BocchinfusoD CalvettiE Somersalo

inverse problemsbayesian analysisapplied mathematics

Bayesian Sparsity and Class Sparsity Priors for Dictionary Learning and Coding. Journal of Computational Mathematics and Data Science (2024)

A. BocchinfusoD. CalvettiE. Somersalo

bayesian sparsityapplied mathematicsinformation theorycomputer sciencemachine learningdictionary learningdata scienceclass sparsity priorsinformation retrievalcomputational sciencecomputational mathematics

Computationally Efficient Sampling Methods for Sparsity Promoting Hierarchical Bayesian Models. SIAM/ASA Journal on Uncertainty Quantification (2024)

D. CalvettiE. Somersalo

bayesian analysishierarchical bayesian modelsmachine learningdata scienceuncertainty quantificationgraph sparsitystatistics

Efficient Pulse Sequence Design Framework for High‐Dimensional Mr Fingerprinting Scans Using Systematic Error Index. Magnetic Resonance in Medicine (2024)

Siyuan HuZhilang QiuRichard James AdamsWalter ZhaoRasim BoyaciogluDaniela CalvettiDebra McGivneyDan Ma

pattern recognitionmagnetic resonance imagingmedicinebiomedical imagingbrain imagingmedical image analysissystematic error indexbioinformaticsfingerprint analysismagnetic resonancesequence analysismedical imagingradiologyimage analysishealth sciencesbiometrics

Exploring Muscle Recruitment by Bayesian Methods During Motion. Chaos Solitons & Fractals (2024)

M. AmankwahA. BersaniD. CalvettiG. DavicoE. SomersaloM. Viceconti

chaos theoryapplied mathematicsbayesian methodsmovement analysiskinematicsphysiologymuscle recruitmentbiomechanics

Hierarchical Beamformer and Cross-Talk Reduction in Electroneurography. Journal of neural engineering (2024)

Daniela CalvettiBrian WodlingerDominique M. DurandErkki Somersalo

neural engineeringneurosciencecross-talk reductionbeamforminghierarchical beamformer

MYOBOLICA: A Stochastic Approach to Estimate Physiological Muscle Control Variability. IEEE Transactions on Neural Systems and Rehabilitation Engineering (2024)

Alex BersaniMercy AmankwahDaniela CalvettiErkki SomersaloMarco VicecontiGiorgio Davico

kinesiologymanaging variabilityrehabilitationneurorehabilitationapplied physiologyautomatic controlexercise physiologymuscle functionneurophysiologyphysiological measurementsbiomedical modelingphysiologyexercise rehabilitationrehabilitation engineeringmotor controlindustrial ergonomicsstochastic controlhuman movement

Quantitative Evaluation of Dna Damage Repair Dynamics to Elucidate Predictors of Autism vs. Cancer in Individuals With Germline Pten Variants. PLoS Computational Biology (2024)

Ruipeng WeiMasahiro HitomiTammy SadlerLamis YehiaDaniela CalvettiJacob ScottCharis Eng

quantitative evaluationgermline pten variantsgeneticsautismgenetic disorderscomputational biologydna repair

Theoretical Foundations of Good Simulation Practice. Synthesis lectures on biomedical engineering (2024)

Marco VicecontiMiguel JuárezAxel LoeweDaniela CalvettiErkki SomersaloLiesbet GerisMarc HornerMartha De Cunha Maluf-Burgman

biomedical engineeringtheoretical foundations

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Daniela Calvetti

James Wood Williamson Professor

Case Western Reserve University

Affiliations

College of Arts and Sciences

Department of Cognitive Science

Department of Mathematics, Applied Mathematics, and Statistics

Daniela Calvetti is currently serving as a College Of Arts And Sciences James Wood Williamson Professor at Case Western Reserve University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Daniela Calvetti

Case Western Reserve University

James Wood Williamson Professor

You can click a keyword to filter the displayed items

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Bayesian Approach to Locally Varying Regularization in Optical Flow Velocimetry. (2024)

Gauresh Raj JassalErkki SomersaloDaniela CalvettiBryan Eric Schmidt

probability theoryapplied physicsbayesian analysisoptical flow velocimetry

Adaptive Anisotropic Bayesian Meshing for Inverse Problems. Inverse Problems (2024)

A BocchinfusoD CalvettiE Somersalo

inverse problemsbayesian analysisapplied mathematics

Bayesian Sparsity and Class Sparsity Priors for Dictionary Learning and Coding. Journal of Computational Mathematics and Data Science (2024)

A. BocchinfusoD. CalvettiE. Somersalo

Computationally Efficient Sampling Methods for Sparsity Promoting Hierarchical Bayesian Models. SIAM/ASA Journal on Uncertainty Quantification (2024)

D. CalvettiE. Somersalo

bayesian analysishierarchical bayesian modelsmachine learningdata scienceuncertainty quantificationgraph sparsitystatistics

Efficient Pulse Sequence Design Framework for High‐Dimensional Mr Fingerprinting Scans Using Systematic Error Index. Magnetic Resonance in Medicine (2024)

Siyuan HuZhilang QiuRichard James AdamsWalter ZhaoRasim BoyaciogluDaniela CalvettiDebra McGivneyDan Ma

Exploring Muscle Recruitment by Bayesian Methods During Motion. Chaos Solitons & Fractals (2024)

M. AmankwahA. BersaniD. CalvettiG. DavicoE. SomersaloM. Viceconti

chaos theoryapplied mathematicsbayesian methodsmovement analysiskinematicsphysiologymuscle recruitmentbiomechanics

Hierarchical Beamformer and Cross-Talk Reduction in Electroneurography. Journal of neural engineering (2024)

Daniela CalvettiBrian WodlingerDominique M. DurandErkki Somersalo

neural engineeringneurosciencecross-talk reductionbeamforminghierarchical beamformer

MYOBOLICA: A Stochastic Approach to Estimate Physiological Muscle Control Variability. IEEE Transactions on Neural Systems and Rehabilitation Engineering (2024)

Alex BersaniMercy AmankwahDaniela CalvettiErkki SomersaloMarco VicecontiGiorgio Davico

Quantitative Evaluation of Dna Damage Repair Dynamics to Elucidate Predictors of Autism vs. Cancer in Individuals With Germline Pten Variants. PLoS Computational Biology (2024)

Ruipeng WeiMasahiro HitomiTammy SadlerLamis YehiaDaniela CalvettiJacob ScottCharis Eng

quantitative evaluationgermline pten variantsgeneticsautismgenetic disorderscomputational biologydna repair

Theoretical Foundations of Good Simulation Practice. Synthesis lectures on biomedical engineering (2024)

Marco VicecontiMiguel JuárezAxel LoeweDaniela CalvettiErkki SomersaloLiesbet GerisMarc HornerMartha De Cunha Maluf-Burgman

biomedical engineeringtheoretical foundations

1
2
3
4
5
23
10 / page

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Case Western Reserve University

radiology

biomedical imaging

Alessandro Veneziani

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Emory University

applied mathematical modelling

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Clyde Martin

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Texas Tech University

applied mathematics

automatic control

Andrei Irimia

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biostatistics

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wavelet

applied mathematical modelling

Charles S. Peskin

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circulatory physiology

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imaging data sciences

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rehabilitation engineering

neural interface