About

Log in?

DTU users get better search results including licensed content and discounts on order fees.

Anyone can log in and get personalized features such as favorites, tags and feeds.

Log in as DTU user Log in as non-DTU user No thanks

DTU Findit

Recent

Boolean: (bicycle AND helmet) OR (head AND protection) (always group AND in parenthesis)
Title: title:(climate change)
Author: author:("bohr niels" OR "bohr n") (avoid only full first name)
Phrase: "water pump control" (does not work with wildcards)
Wildcards: wom?n pharm*

More help on how to search

Flexible matching

About search syntax

Search syntax Advanced
Close advanced
{{problem}}
By field Using AND/OR By author
This tool can help you build boolean queries suitable for doing a broad search for different synonyms or spellings of each word. Start via the drop-down below or just start typing in the search field.
{{ row.typeTitle }}: ( )

Since our index often lack the full first name of people it can be difficult to correctly search by author.

Fill in the fields and let us help you build a good query:

If you need to find everything possible, consider only searching by last name.

Use "Starting year" to ignore publications out of year range.

Author: Ambrosen remove
Filter results...

Interpreted as:

title:(Modeling AND Structural AND Brain AND Connectivity)

Suggestions: Include records that partially match the query

Filter results
Access
Type
Language
Year
From DTU
Advanced
Previous 1 - 2 of 2 Next
Export
10 items by relevance
1 PhD Thesis

Modeling Structural Brain Connectivity

Ambrosen, Karen Marie Sandø

Technical University of Denmark — 2017

organization of structural brain connectivity graphs is investigated. It is found that both the stochastic block model and its non-parametric extension, the infinite relational model, are able to reliably extract a clustering that better accounts for structural connectivity than cortical atlases based solely

Year: 2017

Language: English

More...
kndibeopj gcah m lf
2 Conference paper

Comparing Structural Brain Connectivity by the Infinite Relational Model

Ambrosen, Karen Marie Sandø; Herlau, Tue; Dyrby, Tim; Schmidt, Mikkel Nørgaard; Mørup, Morten

2013 International Workshop on Pattern Recognition in Neuroimaging (prni) — 2013, pp. 50-53

The growing focus in neuroimaging on analyzing brain connectivity calls for powerful and reliable statistical modeling tools. We examine the Infinite Relational Model (IRM) as a tool to identify and compare structure in brain connectivity graphs by contrasting its performance on graphs from

Year: 2013

Language: English

More...
lfbdp anij mcgohe k

DTU users get better search results including licensed content and discounts on order fees.

Log in as DTU user