Skip to main navigation
Skip to search
Skip to main content
Welcome to DTU Research Database Home
About DTU Orbit
Home
Profiles
Research units
Publications
Activities
Projects
Prizes
Press/Media
Datasets
Search by expertise, name or affiliation
Hemodynamic modelling of BOLD fMRI - A machine learning approach
Danjal Jakup Jacobsen
Research output
:
Book/Report
›
Ph.D. thesis
353
Downloads (Pure)
Overview
Fingerprint
Projects
(1)
Fingerprint
Dive into the research topics of 'Hemodynamic modelling of BOLD fMRI - A machine learning approach'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Engineering
Learning Approach
100%
Machine Learning Method
100%
Model Parameter
100%
Monte Carlo Sampling Technique
100%
Nonlinear Function
100%
Posterior Distribution
100%
State Variable
100%
Test Data
100%
Keyphrases
Approximate Posterior
33%
Hemodynamic Function
66%
Hemodynamic Modeling
100%
Test Comparison
33%
Chemistry
Hemodynamic
100%
Chemical Engineering
Learning System
100%
Mathematics
Sampling Technique
50%