Rasmus Reinhold Paulsen

Rasmus Reinhold Paulsen

Associate Professor

Richard Petersens Plads

Building: 324, 110

2800 Kgs. Lyngby


Phone: 45253423Mobile: 2726 6175Fax: 45881397

Rasmus R. Paulsens research is within medical image analysis. Currently he is focusing on 3D surface based image analysis, with special attention to the human face and skull. RP did his PhD in the industry and has worked as a development engineer, where he acquired a structured approach to implementation and applied research. Key research topics are implicit surface representations, geometry processing, statistical shape models, facial feature analysis, and the general connection between genetics and biometric measurements. In 2008 RP received a three years research grant from the Oticon Foundation, where the goal was create an open 3D database of human heads and torsos. These models are for example used for sound field simulation in the hearing aid industry. Furthermore, RP has developed a set of algorithms for patient motion tracking during PET scanning. These are also based on his work on surfaces.



2001 - 2004 Ph.D. - Technical University of Denmark and Oticon A/S
1992 - 1998 M.Sc (Eng) - Technical University of Denmark

Academic grades


Professional experience

2008 - 2009 Assistant Professor - Technical University of Denmark, DTU Informatics
2004 - 2008 Development Engineer - Oticon A/S
2001 - 2004 Industrial Ph.D. Student - Oticon A/S, Research Centre Eriksholm
1998 - 2001 Research Engineer - Pronosco A/S


Danish, English, French


Medical Image Analysis, 3D image analysis, computer graphics, geometry processing, head scanning, ear modelling.

International experience

Visiting Ph.D. student at INRIA Sophia-Antipolis, France for 16 months.

My links

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  • International Journal of Computer Assisted Radiology and Surgery

    ISSNs: 1861-6410, 1861-6429

    Additional searchable ISSN (Electronic): 1861-6429

    Springer, Germany

    BFI (2018): BFI-level 1, Scopus rating (2016): CiteScore 1.76 SJR 0.522 SNIP 1.291, Web of Science (2018): Indexed yes

    Central database


  • Pattern Recognition Letters

    ISSNs: 0167-8655

    Additional searchable ISSN (Electronic): 1872-7344

    Elsevier BV * North-Holland, Netherlands

    BFI (2018): BFI-level 2, Scopus rating (2016): CiteScore 2.9 SJR 0.82 SNIP 1.669, ISI indexed (2013): ISI indexed yes, Web of Science (2018): Indexed yes

    Central database


  • Radiotherapy & Oncology

    ISSNs: 0167-8140

    Elsevier Ireland Ltd., Ireland

    BFI (2018): BFI-level 1, Scopus rating (2016): CiteScore 4.36 SJR 2.026 SNIP 1.534, ISI indexed (2013): ISI indexed yes, Web of Science (2018): Indexed yes

    Central database


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ID: 2177040