Birgitte Nielsen
- Head engineer, Dr.Scient.; PhD
Texture analysis, image segmentation and statistical pattern recognition research.
Publications 2018
Chromatin organisation and cancer prognosis: a pan-cancer study
Lancet Oncol, 19 (3), 356-369
DOI 10.1016/S1470-2045(17)30899-9, PubMed 29402700
Association Between Proportion of Nuclei With High Chromatin Entropy and Prognosis in Gynecological Cancers
J Natl Cancer Inst, 110 (12), 1400-1408
DOI 10.1093/jnci/djy063, PubMed 29684152
Publications 2016
Chromatin changes predict recurrence after radical prostatectomy
Br J Cancer, 114 (11), 1243-50
DOI 10.1038/bjc.2016.96, PubMed 27124335
Changes in Chromatin Structure in Curettage Specimens Identifies High-Risk Patients in Endometrial Cancer
Cancer Epidemiol Biomarkers Prev, 26 (1), 61-67
DOI 10.1158/1055-9965.EPI-16-0215, PubMed 27587790
Publications 2014
Entropy-based adaptive nuclear texture features are independent prognostic markers in a total population of uterine sarcomas
Cytometry A, 87 (4), 315-25
DOI 10.1002/cyto.a.22601, PubMed 25483227
Publications 2012
Automatic segmentation of cell nuclei in Feulgen-stained histological sections of prostate cancer and quantitative evaluation of segmentation results
Cytometry A, 81 (7), 588-601
DOI 10.1002/cyto.a.22068, PubMed 22605528
The prognostic value of adaptive nuclear texture features from patient gray level entropy matrices in early stage ovarian cancer
Anal Cell Pathol (Amst), 35 (4), 305-14
DOI 10.3233/ACP-2012-0065, PubMed 22596183
Publications 2011
Comparison of nuclear texture analysis and image cytometric DNA analysis for the assessment of dysplasia in Barrett's oesophagus
Br J Cancer, 105 (8), 1218-23
DOI 10.1038/bjc.2011.353, PubMed 21934680
Publications 2008
Statistical nuclear texture analysis in cancer research: a review of methods and applications
Crit Rev Oncog, 14 (2-3), 89-164
DOI 10.1615/critrevoncog.v14.i2-3.10, PubMed 19409060
Publications 2006
Prognostic value of adaptive textural features--the effect of standardizing nuclear first-order gray level statistics and mixing information from nuclei having different area
Cell Oncol, 28 (3), 85-95
DOI 10.1155/2006/370173, PubMed 16823177
Publications 2005
Fractal analysis of monolayer cell nuclei from two different prognostic classes of early ovarian cancer
MATH BIOSCI INTERACT, 175-186
DOI 10.1007/3-7643-7412-8_16
Publications 2004
Low dimensional adaptive texture feature vectors from class distance and class difference matrices
IEEE Trans Med Imaging, 23 (1), 73-84
DOI 10.1109/TMI.2003.819923, PubMed 14719689
Publications 2002
Fractal Signature Vectors and Lacunarity Class Distance Matrices to extract new adaptive texture features from cell nuclei
MATH BIOSCI INTERAC, 55-65
Publications 2001
Prognostic classification of early ovarian cancer based on very low dimensionality adaptive texture feature vectors from cell nuclei from monolayers and histological sections
Anal Cell Pathol, 23 (2), 75-88
DOI 10.1155/2001/683747, PubMed 11904463
Publications 2000
Adaptive gray level run length features from class distance matrices
INT C PATT RECOG, 738-741
Publications 1999
The use of fractal features from the periphery of cell nuclei as a classification tool
Anal Cell Pathol, 19 (1), 21-37
DOI 10.1155/1999/986086, PubMed 10661622