Birgitte Nielsen

Stilling: Post doktor
Institusjon: Institutt for informatikk (Ifi)
Kontor (Ifi): Rom 4422 A
Telefon (Ifi): 22 85 24 64
Kontor (DNR): Rom C3157
Telefon (DNR): 22 93 48 62
Email: birgitn@ifi.uio.no
Privat: 66 84 93 71

Prosjekt

Mitt post doktor prosjekt har tittelen "Low Dimensional Adaptive Texture Analysis for Digital Pathology."
Jeg har også kontor ved Seksjon for Digital Patologi ved Det Norske Radiumhospital (DNR).
Denne seksjonens hovedprosjekt har tittelen "Endringer i DNA- og kromatin organisering under klinisk og eksperimentell karsiongenese", og mitt arbeide er knyttet opp mot dette prosjektet. Jeg jobber med teksturanalyse og klassifikasjon. Jeg har jobbet mye med TEM-bilder av leverceller fra mus. Dette er et eksperimentelt materiale som inneholder sampler fra normal lever, regenererende lever, og premaligne og maligne lesjoner. For tiden jobber jeg med et klinisk materiale (eggstokk kreft) hvor lysmikroskopi er benyttet. Målet er å skille mellom sampler fra to grupper, god og dårlig prognose.

Artikler

B. Nielsen, F. Albregtsen and H.E. Danielsen,
Low dimensional adaptive texture feature vectors from class distance and class difference matrices,
IEEE Transactions on Medical Imaging 23(1), 73-84, 2004.

B. Nielsen, F. Albregtsen and H.E. Danielsen,
Transforming 2D images to 1D signals to obtain radially differentiated fractal features from early ovarian cancer cell nuclei,
NORSIG-2002 5th Nordic Signal Processing Symposium,
4-7 October, 2002, on board Hurtigruten from Tromsø to Trondheim.

F. Albregtsen and B. Nielsen,
Adaptive low dimensional texture features from fractal signature vectors and lacunarity matrices,
5th Conference of the European Society of the Mathematical and Theoretical Biology, 2-6 July, 2002, Milano, Italy.

F. Albregtsen, B. Nielsen and H.E. Danielsen,
Cancer diagnostics and prognostics by adaptive low dimensional texture features from fractal signature vectors and lacunarity matrices,
5th Conference of the European Society of the Mathematical and Theoretical Biology, 2-6 July, 2002, Milano, Italy.
The series of : the Milan Research Centre for Applied and Industrial Mathematics.

B. Nielsen, F. Albregtsen, W. Kildal and H.E. Danielsen,
Prognostic classification of early ovarian cancer based on very low dimensionality adaptive texture feature vectors from cell nuclei from monolayers and histological sections,
Analytical Cellular Pathology 23, 75-88, 2001.

B. Nielsen, F. Albregtsen, and H.E. Danielsen,
Fractal signature vectors and lacunarity class distance matrices to extract new adaptive texture features from cell nuclei,
in: Fractals in Biology and Medicine, Vol. 3, Birkhauser-Verlag, Basel, 2002, pp. 55-65.

F. Albregtsen, B. Nielsen and H.E. Danielsen,
Adaptive gray level run length features from class distance matrices,
Proc., the 15th International Conference on Pattern Recognition, Vol. 3, Barcelona, pp. 746-749, 2000.

F. Albregtsen and B. Nielsen,
Texture classification based on cooccurrence of gray level run length matrices,
invited paper, Australian Journal of Intelligent Information Processing Systems, 6(1), 38-45, 2000.

B. Nielsen, F. Albregtsen, S. Baheerathan and H.E. Danielsen,
Peel-off-scanning to obtain radial differentiation of fractal and complexity features in cell nuclei,
Proc., VISION INTERFACE 2000, Montreal, Canada, May 2000.

B. Nielsen, F. Albregtsen, S. Baheerathan and H.E. Danielsen,
Peel-off-scanning to obtain radial differentiation of fractal and complexity features in cell nuclei,
Proc., NOBIM'2000, Trondheim, 6.-7. July 2000, pp. 54-60.

F. Albregtsen, B. Nielsen and H.E. Danielsen,
Adaptive gray level run length features from class distance matrices,
Proc., NOBIM'2000, Trondheim, 6.-7. July 2000, pp. 75-78.

B. Nielsen, F. Albregtsen and H.E. Danielsen,
The use of fractal features from the periphery of cell nuclei as a classification tool,
Analytical Cellular Pathology 19, 21-37, 1999.

F. Albregtsen and B. Nielsen,
Fractal dimension and lacunarity estimated by sequential 1D polygonization of 2D images,,
in: Theory and Applications of Image Analysis II - Selected Papers from the 9th Scandinavian Conference on Image Analysis, G. Borgefors, ed., World Scientific Publ. Co., Singapore, 1995, pp. 79-88.

F. Albregtsen and B. Nielsen,
Fractal dimension and lacunarity estimated by sequential 1D polygonization of 2D images,,
Proc., 9th Scandinavian Conference on Image Analysis, Uppsala Sweden, June 1995, pp. 575-582.

F. Albregtsen, B. Nielsen and K. Yogesan,
Fractal dimension, only a fraction of the thruth?,
Proc., the 11th International Conference on Pattern Recognition, Vol. 3, 1992, pp. 733-736.

F. Albregtsen, B. Nielsen and K. Yogesan,
Fractal dimension, a comparison of methods,
Proc., NOBIM 92, Trondheim, 15.-16. June, 1992, pp. 248-254.

Sammendrag

B. Nielsen, F. Albregtsen and H.E. Danielsen,
Statistical texture analysis - robustness versus number of gray levels,
Abstract, 8th ESACP Congress, 2002.

B. Nielsen, F. Albregtsen and H.E. Danielsen,
Two adaptive texture features based on multidimensional gray level cooccurrence marices,
Abstract, 8th ESACP Congress, 2002.

F. Albregtsen, B. Nielsen and H.E. Danielsen,
A compact set of adaptive texture features from cooccurrence of gray level run length matrices,
Abstract, 8th ESACP Congress, 2002.

F. Albregtsen, B. Nielsen and H.E. Danielsen,
Computing fractal features from gray level images of cells,
Abstract, 8th ESACP Congress, 2002.

B. Nielsen, F. Albregtsen, W. Kildal and H.E. Danielsen,
The extraction of low dimensionality adaptive texture feature vectors from the periphery and center of ovarian cell nuclei from monolayers and histological sections,
Abstract, 7th ESACP Congress, 2001.

F. Albregtsen, B. Nielsen and H.E. Danielsen,
A unified approach to low dimensionality adaptive texture feature extraction applied to ovarian cancer prognosis estimation,
Abstract, 7th ESACP Congress, 2001.

B. Nielsen, F. Albregtsen and H.E. Danielsen,
Using fractal signature vectors and lacunarity class distance matrices to extract new adaptive features from cell nuclei,
in: Rivista di Biologia / Biology Forum 93(2), 2000.

B. Nielsen, F. Albregtsen and H.E. Danielsen,
Diagnostic classification based on fractal features in the periphery of cell nuclei from liver lesions,
Analytical Cellular Pathology, 6th ESACP Congress Abstracts 18(1), 1999.
Georg Burger Poster Award.

B. Nielsen, F. Albregtsen and H.E. Danielsen,
Identification of premalignant and malignant lesions based on fractal features in the periphery of liver cell nuclei,
Analytical Cellular Pathology, Special Issue: Abstracts of the 5th ESACP Congress 13(2), 1997.

Rapporter

B. Nielsen:
Radial Differentiation of Low Dimensionality Adaptive Texture Feature Vectors in Cell Nuclei as a Tool in Tumour Pathology,
Series of dissertations submitted to the Faculty of Mathematics and Natural Sciences, University of Oslo, No. 159, ISSN 1501-7710.

B. Nielsen:
Fraktal dimensjon i TEM-bilder av cellekjerner fra muselever,
Thesis (in Norwegian), Report No. 62, Image Processing Laboratory, Department of Informatics, University of Oslo, February 1993.

B. Nielsen and F. Albregtsen:
Fraktal dimensjon i TEM-bilder av normale og maligne cellekjerner fra muselever,
PIKSEL'N, Organ for Norsk Forening for Bildebehandling og Mønstergjenkjenning, årgang 10, nr. 2, mai 1993.

Foredrag

B. Nielsen, F. Albregtsen and H.E. Danielsen,
Statistical texture analysis - robustness versus number of gray levels,
8th ESACP Congress, 2002.

B. Nielsen, F. Albregtsen and H.E. Danielsen,
Two adaptive texture features based on multidimensional gray level cooccurrence marices,
8th ESACP Congress, 2002.

Peel-off-Scanning to obtain Radial Differentiation of Fractal and Complexity Features in Cell Nuclei
NOBIM-KONFERANSEN, Trondheim, Juni 2000.

Peel-off-Scanning to obtain Radial Differentiation of Fractal and Complexity Features in Cell Nuclei
VISION INTERFACE 2000, Montreal, Canada, May 2000.

Using Fractal Signature Vectors and Lacunarity Class Distance Matrices to Extract New Adaptive Texture Features from Cell Nuclei.
Third International Symposium, Fractals 2000 on Biology and Medicine, Ascona Switzerland, March 8-11 2000.

Oppdatert 3. bebruar 2004 av Birgitte Nielsen.