Scalable Subsurface Inverse Modeling of Huge Data Sets With an Application to Tracer Concentration Breakthrough Data From Magnetic Resonance Imaging

Water Resources Research - United States
doi 10.1002/2015wr018483
Full Text
Abstract

Available in full text

Date
Authors
Publisher

American Geophysical Union (AGU)

Related search

Functional Magnetic Resonance Imaging: From Acquisition to Application

Einstein Journal of Biology and Medicine
2016English

Processing Huge Sets of Experimental Data With Spectral Multi-Exponential Approximation

2018English

Spherical Finite Rate of Innovation With an Application to Diffusion Magnetic Resonance Imaging

English

Data Analysis and Reliability in Functional Magnetic Resonance Imaging

Türk Radyoloji Dergisi/Turkish Journal of Radiology
2019English

Semiparametric Count Data Modeling With an Application to Health Service Demand

Econometrics and Statistics
UncertaintyEconomicsStatisticsEconometricsProbability
2018English

Stellar Magnetic Imaging From Spectropolarimetric Data

Symposium - International Astronomical Union
1996English

Optimal Sampling for “Noquist” Reduced-Data Cine Magnetic Resonance Imaging

Medical Physics
MedicineNuclear MedicineRadiologyImagingBiophysics
2012English

Modeling Heaped Duration Data: An Application to Neonatal Mortality

Journal of Econometrics
Philosophy of ScienceApplied MathematicsEconomicsEconometricsHistory
2017English

Spatio-Spectral Mixed-Effects Model for Functional Magnetic Resonance Imaging Data

Journal of the American Statistical Association
UncertaintyStatisticsProbability
2012English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy