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Michael Pedersen

dblp:89/6975 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 2014
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 2 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › systems bioinformatics
biological simulation
0.212014
Bio Simulators: a web UI for biological simulation · Bioinform. 2014
Bioinformatics and computational biology › systems biology
computational systems biology
0.212014
Bio Simulators: a web UI for biological simulation · Bioinform. 2014

Methods — techniques the papers use, named apart from their topics

web-based user interface · 0.2cloud deployment · 0.2
YearPublicationVenuePosition
2014 Bio Simulators: a web UI for biological simulation
abstract
SUMMARY: A host of formal, textual languages for modeling cellular processes have recently emerged, but their simulation tools often require an installation process which can pose a barrier for use. Bio Simulators is a framework for easy online deployment of simulators, providing a uniform web-based user interface to a diverse pool of tools. The framework is demonstrated through two plugins based on the KaSim Kappa simulator, one running directly in the browser and another running in the cloud. AVAILABILITY: Web tool: bsims.azurewebsites.net. KaSim client side simulator: github.com/NicolasOury/KaSimJS. KaSim cloud simulator: github.com/mdpedersen/KaSimCloud. CONTACT: [email protected] or [email protected] SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Michael Pedersen, Nicolas Oury, Colin Gravill, Andrew Phillips
Bioinform.1
2006 MRI-guided focused ultrasound: methodology and applications
abstract
Focused ultrasound is very well suited for inducing noninvasive local hyperthermia. Since magnetic resonance imaging (MRI) may be employed to obtain real-time temperature maps noninvasively the combination of these two technologies offers great advantages specifically aimed toward oncological studies. Real-time identification of the target region and accurate control of the temperature evolution during the treatment has now become possible. Thermal ablation of pathological tissue, local drug delivery using thermosensitive micro-carriers and controlled transgene expression using thermosensitive promoters have recently been demonstrated with this unique technology. Based on these experiments combined focused ultrasound and MRI thermometry holds promise for future oncological diagnostics and treatment. In this paper, we review some of the recent methodological developments as well as experimental and first clinical studies using this approach.
S. L. Hokland, Michael Pedersen, Rares Salomir, Bruno Quesson, Hans Stødkilde-Jørgensen, Chrit T. W. Moonen
IEEE Trans. Medical Imaging2