Journal papers
A1. Low Resolution
Inspection System of Gynecological Cell Specimens. Y. Noguchi, B.
Stenkvist, J. Holmquist, E. Bengtsson and B. Olsen. Bull. Electrotech.
Lab. 39:293 - 323, 1975.
A2.
Analysis of Grey-Level Histograms as a Method of
Classifying Cells from the Uterine Cervix. J.
Holmquist, E. Bengtsson, B. Olsen, Stenkvist and Y. Noguchi. Comput Biol. Med. 6:213 - 223, 1976.
A3.
SCANCANS - An Interactive Scanning Cell Analysis
System. E. Bengtsson, J. Holmquist, B. Olsen and B.
Stenkvist. Computer Programs in Biomedicine. 6:39 -
49, 1976.
A4.
A Microspectrophotometric Study of Papanicolaou
Stained Cervical Cells as an Aid in Computerized Image Processing.
J. Holmquist, Y. Imasato, E. Bengtsson, B. Olsen and B. Stenkvist. J. Histochem. and
Cytochem. 24:1218-1224, 1976
A5.
A Computerized Recording System for Cytopathologic
Diagnoses. O. Eriksson, S. Westman-Naeser,
B. Stenkvist, E. Bengtsson and J. Holmquist. Acta Cytologica.
21:266-270, 1977.
A6.
A Software System to Record and Analyze Digitized Cell
Images. E. Bengtsson, O. Eriksson, J. Holmquist and B.
Stenkvist. Computer Programs in Biomedicine.
7:233-246, 1977.
A7.
A Program System for Interactive Measurements on
Digitized Cell Images. J. Holmquist, E. Bengtsson, O. Eriksson and B.
Stenkvist. J. Histochem. Cytochem. 7:641 - 654, 1977.
A8.
Computer Analysis of Cervical Cells.
Automatic Feature Extraction and Classification.
J. Holmquist, E. Bengtsson, O. Eriksson, B. Nordin and B. Stenkvist. J.
Histochem. Cytochem. 26:1000-1017, 1978.
A9.
High Resolution Segmentation of Cervical Cells
E.Bengtsson, O.Eriksson, J.Holmquist, B.Nordin,
B.Stenkvist. J. Histochem. Cytochem.
27:621-628, 1979.
A10.
Computerized Nuclear Morphometry as an Objective
Method for Characterizing Human Cancer Cell Populations.
B Stenkvist, S Westman-Naeser, J Holmquist, B Nordin,
A11.
Analysis of the Reproducibility of Subjective Grading
Systems for Breast Carcinoma. B. Stenkvist, S.
Westman-Naeser, J. Vegelius, J. Holmquist, B. Nordin E. Bengtsson and O. Eriksson.
J. Clin. Path. 32:979-985, 1979.
A12.
Cardiac Glycosides and Breast Cancer. B.
Stenkvist, E. Bengtsson, O. Eriksson, J. Holmquist, B. Nordin, S.
Westman-Naeser and G. Eklund. Lancet, 563, 1979.
A13.
Evidence of a Modifying Influence of Heart Glucosides
on the Development of Breast Cancer. B.
Stenkvist, E. Bengtsson, G. Eklund, O. Eriksson, J. Holmquist, B. Nordin
and S. Westman-Naeser. Analytical and Quantitative Cytology. 2:4954, 1980.
A14.
TULIPS- The Uppsala-Linkoeping Image Processing
System. J. Holmquist, D. Antonsson, E. Bengtsson, P-E Danielsson, O. Eriksson,
T. Hedblom, A. Mårtensson, B. Nordin, T. Olsson and B. Stenkvist. Analytical
and Quantitative Cytology. 3:182-194, 1981.
A15.
Multifocal Breast Carcinoma. S. Westman-Naeser, E.
Bengtsson, O. Eriksson, T. Jarkrans, B. Nordin and B. Stenkvist. Am. J.
Surgery. 142:255-257,1981.
A16.
Correlation between Cytometric Features and Mitotic
Frequency in Human Breast Carcinoma. B. Stenkvist, E. Bengtsson, O. Eriksson,
T. Jarkrans, B. Nordin and S. Westman-Naeser. Cytometry 1:287-291, 1981.
A17.
A Morphometric Expression of Differentiation in
Fine-Needle Biopsis of Breast Cancer. B. Stenkvist, E. Bengtsson, O.
Eriksson, T. Jarkrans and B. Nordin. Cytometry 1:292-295, 1981.
A18.
Segmentation of Cervical Cells. Detection of
Overlapping Cell Nuclei. E. Bengtsson, O. Eriksson,
J. Holmquist, T. Jarkrans, B. Nordin and B. Stenkvist. Computer
Graphics and Image Processing, 16:382-394, 1981.
A19.
Predicting Breast Cancer Recurrence. B
Stenkvist, E. Bengtsson, B. Dahlqvist, G. Eklund, O. Eriksson, T. Jarkrans and
B. Nordin. Cancer, 50:2884-2893, 1982.
A20.
Histopathological Systems of Breast Cancer
Classification: Reproducibility and Clinical Significance. B. Stenkvist,
E. Bengtsson, O. Eriksson, T. Jarkrans, B. Nordin and S Westman-Naeser. J
Clin Pathology 36:392-398, 1983.
A21.
A Program for Logistic Prediction Modelling. B
Dahlqvist, E Bengtsson, O Eriksson, T Jarkrans, B Nordin and B Stenkvist.
Computer Programs in Biomedicine 19:235-237,
1985.
A22.
Image Cytometry in Malignancy Grading of Breast
Cancer. Results in a Prospective Study with Seven Years of Follow-Up. B
Stenkvist, E Bengtsson, O Eriksson, T Jarkrans and B Nordin. Anal.
and Quant. Cytology and Histology. 8:293-300, 1986.
A23.
The Measuring of Cell Features. E Bengtsson.
Analytical and Quantitative Cytology and Histology. 9:212-217, 1987.
A24.
Image Operations in Quantification of Atherosclerosis
from Digitized Angiograms. I
Berglund, E Bengtsson, U Eriksson, N Högman, S Nilsson. Computer
Methods and Programs in Biomedicine 35:1-10, 1991.
A25.
Image Analysis in Chemistry, I: Properties of Images,
Greylevel Operations, the Multivariate Image. P Geladi, E Bengtsson, K Esbensen
& H Grahn: TRAC Trends in Analytical Chemistry 11-1:41-53, 1992.
A26.
Image Analysis in Chemistry, II: Multivariate Image
Analysis. P Geladi, E Bengtsson, K Esbensen & H Grahn: TRAC Trends in
Analytical Chemistry 11-3:121-130, 1992.
A27.
A New Three-Dimensional Connected Components Labelling
Algorithm with Simultaneous Object Feature Extraction Capability. L Thurfjell,
E Bengtsson & B Nordin: CVGIP: Graphical Models and Image Proc. 54:357-364,
1992.
A28.
Image analysis in cytology; DNA-histogramming versus
cervical smear prescreening. E Bengtsson, B Nordin. Ann
Biol clin. 51:27-38, 1993.
A29.
Grading of Transitional Cell Bladder Carcinoma by
Texture Analysis of Histological Sections. HK Choi, J Vasko, E Bengtsson, T
Jarkrans, PU Malmström, K Wester & C Busch: Analytical Cellular Pathology.
6:327-343, 1994.
A30.
MUSE - a new tool for interactive image analysis and
segmentation based on multivariate statistics. E Bengtsson, B Nordin, F
Pedersen. Computer Methods and Programs in Biomedicine, 42:181-200, 1994.
A31.
A boundary approach for fast neighborhood operations
on three-dimensional binary data. Thurfjell L, Bengtsson E and Nordin B.
Graphical Models and Image Processing, 57:13-19, 1994.
A32.
Principal component analysis of dynamic positron
emission tomography images. Pedersen F, Bergström M, Bengtsson E and Långström
B. European Journal of Nuclear Medicine, 21:1285-1292, 1994.
A33.
PACS for radiology conferences - improvements of
application software. Svahn G, Holtås S, Larsson E-M Bengtsson E and Ehn
A. Computer Methods and Programs in Biomedicine, 43:81-84, 1994.
A34.
Grading of transitional cell bladder carcinoma by
image analysis of histological sections. T Jarkrans, J Vasko, E Bengtsson, HK
Choi, PU Malmström, K Wester & C Busch: Analytical Cellular Pathology.
8:135-158, 1995.
A35.
CBA - an atlas-based software tool used to facilitate
the interpretation of neuroimaging data. Thurfjell L, Bohm C and Bengtsson E.
Computer Methods and Programs in Biomedicine, 47:51-71, 1995.
A36.
Surface reconstruction from volume data used for
creating an adaptable functional brain atlas. Thurfjell L, Bohm C and Bengtsson
E. IEEE Transactions on Nuclear Science, 42:1383-1387, 1995.
A37.
An extended strategy for exploratory multivariate
image analysis including noise considerations. Pedersen F, Bengtsson E and
Nordin B. Journal of Chemometrics, 9:389-409, 1995.
A38.
Computer Assisted Analysis of Medical X-ray Images.
Bengtsson E. Physica Scripta, Vol T61, 44-50, 1996.
A39.
Image analysis based grading of bladder
carcinoma. Comparison of object, texture and graph based methods and their
reproducibility. H-K. Choi, T. Jarkrans, E. Bengtsson, J. Vasko, K.
Wester, P-U. Malmström, C. Busch. Analytical Cellular
Pathology, 1-18, 1997.
A40.
A new method for segmentation of colour images applied
to immunohistochemically stained cell nuclei. P. Ranefall, L. Egevad, B. Nordin, E. Bengtsson. Analytical
Cellular Pathology, 145-156, 1997.
A41.
A new method of creating a pixelwise box classifier
for colour images. P. Ranefall, B. Nordin, E. Bengtsson. Machine Graphics
and Vision, 305-323, 1997.
A42.
Automatic quantification of immunohistochemically
stained cell nuclei using unsupervised image analysis. P. Ranefall, K
Wester, E. Bengtsson. Analytical Cellular Pathology, 58, 1997.
A43.
A Deformable Atlas of the Chest Based on the Visible
Man. L Thurfjell, P. Ranefall,, E Bengtsson . Machine Graphics and Vision,
179-186,1998
A44.
Automatic quantification of immunohistochemically stained
cell nuclei based on standard reference cells. P Ranefall, K Wester, A-C
Andersson, C Busch, E Bengtsson. Analytical Cellular Pathology, 111-123, 1998.
A45.
Automatic quantification of microvessels using
unsupervised image analysis. P Ranefall, K Wester, C Busch, P-U Malmström, E
Bengtsson. Analytical Cellular Pathology, 83-92, 1998.
A46. L'analyse
informatise'e des plaies: une nouvell me'thode d'evaluation objective de la
cicatrisation (Computerized wound analysis: a new method for objective
assessment of healing). E Bengtsson, N. Egström, L. Hellgren, J. Vincent. Journal
des Plaies et Cicatrisations, 31-34, 1999.
A47.
Fifty years of attempts to automate screening for
cervical cancer.E. Bengtsson. Medical Imaging Technology, 17,:203-210, 1999.
A48.
Three-dimensional computer reconstruction of prostate
cancer from radical prostate-cytomectomy specimens. Evaluation of the model by
core biopsy simulation.L. Egevad, H. Frimmel, M. Norberg, S. Mattsson, I.
Carlbom, E. Bengtsson. Urology, 53,5:192-197, 1999.
A49.
Automatic Quantification of Microvessel Density in
Urinary Bladder Carcinoma.P. Ranefall, E. Bengtsson, C. Busch, P-U Malmström.
British Journal of Cancer, 81,8: 1363-1370, 1999.
A50.
Biopsy Protocol Stability In a Three-Dimensional Model
of Prostate Cancer: Changes in Cancer Yield after Adjustment of Biopsy
Positions. L Egevad, H Frimmel, S Mattsson, E Bengtsson, C Busch. Urology,
54,5: 862-868, 1999
A51.
A detailed analysis of cyclin A accumulation at the
G(1)/S border in normal and transformed cells. F
Erlandsson, C Wählby, S Ekholm, E Bengtsson, A Zetterberg. Experimental
Cell Research, 259,1: 86-95, 2000.
A52.
Cultured human fibroblasts in agarose gel as a
multi-functional control for immunohistochemistry. Standardization of Ki67
(MIBI) assessment in routinely processed urinary bladder carcinoma tissue.K
Wester, A-C Anderssson, P Ranefall, E Bengtsson, P-U Malmström, C Busch.
Journal of Pathology, 190: 503-511, 2000.
A53.
Paraffin section storage and immunohistochemistry.
Effects of time, temperature, fixation and retrieval protocol with emphasis om
p53 protein and MIBI antigen. K Wester, E Wahlund, C Sundström, P Ranefall, E
Bengtsson, P Russel, K Ow, P-U Malmström, C Busch. Applied
Immunohistochemistry and Molecular Morphology, 8,1: 61-70, 2000.
A54.
Automatic registration and error detection of multiple
slices using landmarks. H Frimmel, L Egevad, C Busch and E Bengtsson.
Analytical Cellular Pathology, 23:159-165, 2001
A55.
Inter-individual SPECT brain scan registration based
on a combined intensity and gradient similarity criterion. R Lundqvist, S Som,
E Bengtsson, L Thurfjell. European Journal of Nuclear Medicine, 28:377-, 2001.
A56. Sequential
Immunofluorescence Staining and Image Analysis for Detection of Large numbers
of Antigens in Individual Cell Nuclei. C Wählby, F Erlandsson, E
Bengtsson and A Zetterberg. Cytometry 47:32-41, 2002
A57.
Algorithms for cytoplasm segmentation of fluorescence
labelled cells. C. Wählby, J Lindblad, M Vondrus, E Bengtsson and L Björkesten.
Analytical Cellular
Pathology 24:101-111, 2002.
A58.
A Combined Intensity and Gradient Based Similarity
Criterion for Inter-Individual SPECT Brain Scan Registration. R. Lundqvist, E.
Bengtsson and L. Thurfjell. EURASIP Journal on Applied Signal Processing
5:461-469, 2003
A59.
A Feature Set for Cytometry on Digitized Microscopic
Images. K Rodenacker, E Bengtsson. Analytical Cellular Pathology, 25:1-36,
2003.
A60.
Abnormal expression pattern of cyclin E in tumor
cells. Erlandsson Fredrik, Wählby Carolina, Ekholm-Reed Susanna,
Hellström Ann-Cathrin, Bengtsson Ewert, Zetterberg Anders. International
Journal of Cancer. - 2003 (104) , s. 369-3775
A61.
Faster Shading by Equal Angle Interpolation of
Vectors. Barrera Tony, Hast Anders, Bengtsson Ewert. IEEE Transactions on
Visualization and Computer Graphics 2004, Vol. 10 (2) s.217-223
A62.
Image analysis for automatic segmentation of
cytoplasms and classification of Rac1 activation. Lindblad Joakim, Wählby
Carolina, Bengtsson Ewert, Zaltsman Alla. Cytometry 2004. Vol. 57A (1),
s.22-33.
A63.
Robust Cell Image Segmentation Methods. Bengtsson
Ewert, Wählby Carolina, Lindblad Joakim, Pattern Recognition and Image
Understanding, 14(2), 2004, pp 157-167
A64.
Combining intensity, edge and shape information for 2D
and 3D segmentation of cell nuclei in tissue sections. Wählby
Carolina, Sintorn Ida, Erlandsson,Fredrik, Borgefors
Gunilla, Bengtsson, Ewert. Journal of Microscopy 215:67-76, 2004.
A65.
Non-isotropic noise correlation in PET data
reconstructed by FBP but not by OSEM demonstrated using auto-correlation
function. Razifar Pasha, Lubberink Mark, Schneider Harald,
Långström Bengt, Bengtsson Ewert, Bergström Mats. BMC
Medical Imaging 2005 5:3.
A66.
Noise correlation in PET, CT, SPECT and PET/CT data
evaluated using autocorrelation function: a phantom study on 2D acquired data, reconstructed
using FBP and OSEM. Razifar Pasha, Sandström Mattias, Schneider Harald,
Långström Bengt, Maripuu Enn, Bengtsson Ewert, Bergström Mats. BMC
Medical Imaging 2005 5:5.
A67. A new application of pre-normalized
principal component analysis for improvement of image quality and clinical
diagnosis in human brain PET studies-Clinical brain studies using [(11)C]-GR205171, [(11)C]-l-deuterium-deprenyl,
[(11)C]-5-Hydroxy-l-Tryptophan, [(11)C]-l-DOPA and Pittsburgh Compound-B. Razifar
Pasha, Axelsson Jan, Schneider Harald, Långström Bengt, Bengtsson Ewert,
Bergström Mats. Neuroimage.
1;33(2):588-98. 2006.
A 68. Volume-Wise Application
of Principal Component Analysis on Masked Dynamic PET Data in Sinogram Domain.
Razifar Pasha, Axelsson Jan, Schneider Harald, Långström Bengt, Bengtsson
Ewert, Bergström Mats. IEEE Trans. Nucl. Med. 53(5):2759-68, 2006.
A 69. Application of underwater hyperspectral data
for color correction purposes. : Åhlén, Julia, Sundgren David,
Bengtsson, Ewert. Journal: Pattern Recognition and Image Analysis
17(1):170-173, 2007.
A 70. Finding cells, finding molecules, finding
patterns. Wählby
Carolina, Karlsson Patrick, Henriksson Sara, Larsson Chatarina, Nilsson Mats,
Bengtsson Ewert. International Journal on Signal and Imaging Systems
Engineering 1(1), pp. 11–17, 2008.
A 71. Myonuclear
domain size and myosin isoform expression in muscle fibres from mammals
representing a 100 000-fold difference in body size. Jing-Xia Liu, Anna-Stina Höglund,
Patrick Karlsson, Joakim Lindblad, Rizwan Qaisar, Sudhakar Aare, Ewert Bengtsson, Lars Larsson.
Experimental
Physiology, 94 (1):117-129, 2009.
A 72 Performance of Principal Component Analysis and Independent Component Analysis with Respect to Signal Extraction from Noisy Positron Emission Tomography Data - a Study on Computer Simulated Images. Pasha Razifar, Hamid Hamed Muhammed, Fredrik Engbrant, Per-Edvin Svensson, Johan Olsson, Ewert Bengtsson, Bengt Langstrom, Mats Bergstrom. The Open Neuroimaging Journal,Vol:3,1-16, 2009.
A73 Fully Automatic Heart Beat Rate Determination in Digital
Video Recordings of Rat Embryos. Muhammad Khalid Khan Niazi, Mats Nilsson, Bengt R
Danielsson, Ewert Bengtsson. Transactions
on Mass-Data Analysis of Images and Signals,Vol
1:1,132-146, 2009.
A74 Effects of ageing and gender on the spatial organization of
nuclei in single human skeletal muscle cells. Alexander Cristea, Patrick Karlsson
Edlund, Joakim Lindblad, Rizwan Qaisar, Ewert Bengtsson, Lars Larsson. Neuromuscular
Disorders 19:605-606, 2009.
A75 Fully Automatic Heart Beat Rate Determination in Digital
Video Recordings of Rat Embryos. Muhammad Khalid Khan Niazi, Mats Nilsson, Bengt
Danielsson, Ewert Bengtsson. Leipzig,
Germany: IBAI Publishing; Transactions on Mass-Data Analysis of Images and
Signals. 1(2):132-146, 2009.
A76 Performance of Principal Component Analysis and Independent
Component Analysis with Respect to Signal Extraction from Noisy Positron
Emission Tomography Data : a Study on Computer
Simulated Images. Pasha Razifar, Hamid Hamed Muhammed, Fredrik Engbrant, Per-Edvin
Svensson, Johan Olsson,
Ewert Bengtsson, Bengt Långström, Mats Bergström. Bentham Open; Open Neuroimaging
Journal. 3(1):1-16, 2009.
A77 Improved methodology for identifying the teratogenic
potential in early drug development of hERG channel blocking drugs. M Nilsson,
C Danielsson, A Sköld, A Johansson, B Blomgren, J Wilson, K Khan , E Bengtsson,
K Kultima, WS Webster, BR Danielsson. Reproductive Toxicology. 29(2):156-163, 2010.
A78 Effects of aging and gender on the spatial organization of
nuclei in single human skeletal muscle cells. Alexander Cristea , Rizwan Qaisar,
Patrick Karlsson Edlund, Joakim Lindblad,
Ewert Bengtsson, Lars Larsson. Aging Cell. 9(5):685-697,2010.
A79 Signal Extraction and Separation in In
Vivo Animal PET Studies with Masked Volumewise Principal-Component Analysis. Fredrik Engbrant, A Monazzam, Per-Edvin Svensson, Johan Olsson, Ewert
Bengtsson, Pasha Razifar. Journal of Nuclear Medicine Technology.
38(2):53-60, 2010.
A80. Characterization and reduction of noise in dynamic PET data
using masked volumewise principal component analysis. Per-Edvin
Svensson, Johan Olsson,
Fredrik Engbrant, Ewert Bengtsson, Pasha Razifar. Nucl Med Technol. 39(1):27-34. 2011.
Book chapters, invited papers, reviews (not complete
after 1996)
B1 Evaluation
of a TV-system for computerized image processing. (Studie av
ett TV-system för datoriserad bildbehandling) E. Bengtsson. Master thesis,
B2. On
the Design of Systems for Computer Aided Analysis of Microscopic Images.
Application to early detection of cervical cancer. E. Bengtsson. Ph.D. Thesis,
Uppsala University, 1977.
B3. CELLO,
An Interactive System for Image Analysis. E.
Bengtsson, O. Eriksson, T. Jarkrans, B. Nordin and B.
Stenkvist. In "Digital Image Processing Systems" Eds. L. Bolc
and Z. Kulpa, Vol 109 page 21-45, Lecture Notes in Computer Science, Springer
Verlag 1981.
B4. Image
Processing in Various Research Areas. Medicine and Biological Sciences
Excluding Radiology. (Bildbehandling inom olika forskningsområden. Medicin och
biologiska vetenskaper utom radiologi.) E. Bengtsson and L Olson. Chapter In
Bildbehandling inom forskningen. FRN rapport 83:10, 29-34,
1983.
B5. ILIAD
- A High Level Dialogue System for Picture Analysis. O Eriksson,
E Bengtsson, T Jarkrans, B Nordin, B Stenkvist. In
Natural Language Communication with Pictorial Information Systems, Edited by
Leonard Bolc. Springer Verlag, 255-327, 1984.
B6. Medical
Image Processing and Artificial Intelligence. E Bengtsson. Invited paper at
14th Int Conf on Medical and Biological Engineering and 7th Int Conf on Medical
Physics, Espoo, Finland 1985.
B7. ILIAD - Users Guide. B Rossi, E Bengtsson, O Eriksson. Book
published by IMTEC. 170 pages, 1986.
B8. Computer
Architecture for Image Processing. E Bengtsson. Invited paper at
Artificial Intelligence - Supercomputers - The State of the Art. Umeå,
1987.
B9. Status
and Perspectives in Medical Image Processing. E Bengtsson, Invited lecture
at NOBIM - Nordic Conference on Image Processing and Pattern Recognition,
Oslo, Norway, June 1988.
B10.
The Image in the Computer (Bilden i datorn) E
Bengtsson, KOSMOS 1990: 121-138 .
B11.
The Basics of Automated Screening: Optics, Robotics
and Computers. E Bengtsson. Invited paper at Automated Cervical Cancer
Screening: An International Perspective, Denver, 1991.
B12.
Image Segmentation based on Multivariate Statistics. E
Bengtsson, B Nordin and F Pedersen. Invited paper in the proceedings of the
DIP92 Third International Seminar Digital Image Processing in Medicine, Remote
Sensing and Visualization of Information, 135-140, Riga, 1992.
B13.
Densitometry, Morphometry, and textural Analysis as
Tools in Quantitative Cytometry and Automated Cancer Screening. E Bengtsson and
B Nordin. In: H K Grohs and O A N Husain (eds.) Automated Cervical Cancer
Screening, 21-43, Igaku-Shoin, New York, 1994.
B14.
Specimen Analysis by Rare Event, Cell Population
and/or Contextual Evaluation. E Bengtsson and B Nordin. In: H K Grohs and O A
N Husain (eds.) Automated Cervical Cancer Screening, 44-51, Igaku-Shoin,
New York, 1994.
B15.
Computerized Image Analysis. Professor Installation
Speech.
B16.
The technical development in the ICT-field. E.
Bengtsson (in Swedish). In: Ulla Riis ed., IT at school between vision and
practice - a research overview, pp. 39-55, 2000
B17.
A New Approach Towards Microvessel Quantification. M
Vondrus, K Wester, C Busch, E Bengtsson, P-U Malmström. Invited
paper at 14th International congress of Cytology, Amsterdam, 8p.,2001.
B18.
Detection of a Large
Number of Antigens using Sequential Immunofluorescence Staining. F Erlandsson,
C Wählby, E Bengtsson, A Zetterberg. 7th European Society for Analytical
Cellular Pathology Congress (ESACP 2001), Caen, France. IOS Press, Amsterdam, 56-57:2001.
B19.
Multi-Dimensional
Image Analysis of Sequential Immunofluorescence Staining. C Wählby, F
Erlandsson, A Zetterberg, E Bengtsson. 7th European Society for Analytical
Cellular Pathology Congress (ESACP 2001), Caen, France. IOS Press, Amsterdam,
61, 2001.
B20.
Statistical Quality
Control for Segmentation of Fluorescence Labelled Cells. J Lindblad,
C Wählby, M Vondrus, E Bengtsson, L Björkesten. 5th Korea-Germany Joint Workshop
on Advanced Medical Image Processing, Seoul, Korea. Ehwa Womans
University, 2001.
B21.
Analysis of Cells
using Image Data from Sequential Immunofluorescence Staining Experiments. C
Wählby, F Erlandsson, J Lindblad, A Zetterberg, E Bengtsson. 5th Korea-Germany Joint Workshop
on Advanced Medical Image Processing, Seoul, Korea . Ehwa Womans
University, 2001.
B22.
Antialiasing for bump maps and a fast normalization
trick. Hast Anders, Barrera Tony, Bengtsson Ewert. Graphics Programming
Methods, Lander Jeff (ed.). Charles River Media, 2003.
- S. 291-298
B23.
Fast setup for bilinear and biquadratic interpolation
over triangles. Hast Anders, Barrera Tony, Bengtsson Ewert. Graphics
Programming Methods, Lander Jeff (ed.). Charles River Media,
2003. - S. 299-313
B24.
A modified Phong-Blinn light model for shadowed areas.
Hast Anders, Barrera Tony, Bengtsson Ewert. Graphics Programming
Methods, Lander Jeff (ed.). Charles River Media, 2003.
- S. 231-235
B25.
A fast all-integer ellipse discretization
algorithm. Barrera Tony, Hast Anders, Bengtsson Ewert. Graphics
Programming Methods, Lander Jeff (ed.). Charles River
Media, 2003. - S. 121-131
B26.
A fast and simple all-integer parametric line. Barrera
Tony, Hast Anders, Bengtsson Ewert. Graphics Programming Methods, Lander
Jeff (ed.). Charles River Media, 2003. - S. 133-138
B27.
Summary of results from the VISIT, VISual Information
Technology program. Bengtsson Ewert, Karlsson Patriik editors. Centre for Image
Analysis, Report Series No. 32, ISSN 1100-6641, 176 pages.
B28.
Minimal acceleration Hermite curves. Barrera Tony,
Hast Anders, Bengtsson Ewert. Game Programming Gems 5, Pallister Kim (ed).
Charles River Media, 2005, 225-232
B29. Proceedings
of MICCAI 2007 workshop on Interaction in Medical Image Analysis and Visualization.,
B30. Trigonometric Splines. Barrera Tony, Hast Anders, Bengtsson
Ewert. Game Programming Gems 7, Scott Jacobs (ed). Charles River Media, 191-198, 2008.
B31. An alternative model for shading diffuse light for rough materials.
Barrera Tony, Hast Anders, Bengtsson Ewert. Game Programming Gems 7, Scott
Jacobs (ed). Charles River Media, 373-380, 2008.
B32. Virtuella fakulteter – visionär
organisation på IT-området. Ewert Bengtsson. 37-44. In: Lee J, editor.
Kunskapens nya världar: Mötet mellan pedagogik och teknik vid Uppsala Learning
Lab. ISBN: 978-91-506-2189-1, Uppsala universitet; 2010.
B33. Virtuella världar – vägen
framåt? Ewert Bengtsson. 243-258. In: Lee J, editor. Kunskapens nya världar:
Mötet mellan pedagogik och teknik vid Uppsala Learning Lab. ISBN: 978-91-506-2189-1,
Uppsala universitet; 2010.
Conference proceedings (refereed, international)
C1. CELLO,
An Interactive Image Analysis System. O. Eriksson, J. Holmquist, E.
Bengtsson and B. Nordin. Proceedings of the Digital Equipment Computer Users
Society, Copenhagen, 129-133, 1978.
C2. A Device Independent Graphical Package for RSX-11M.
J. Holmquist, J. Johansson, E. Bengtsson, O. Eriksson and B. Nordin.
Proceedings of the Digital Equipment Computer Users Society, Copenhagen,
171-174, 1978.
C3. An interactive system for cell image analysis
algorithms. E. Bengtsson, O. Eriksson, J. Holmquist. Workshop
on Automated Gyneacological Cytology Systems, Royal Microscopical Society,
Edinburgh, 1978.
C4. Implementation and Evaluation of a Diode Array Scanner
for Digitizing Microscopic Images. E. Bengtsson, O. Eriksson, J. Holmquist and
B. Stenkvist. In The Automation of Cancer Cytology and Cell Image Analysis, N.
J. Pressman and G. L. Wied, eds. Chicago, 269-286, 1979
C5. Computer Grading of Cell Populations from Breast
Cancer. J. Holmquist, E. Bengtsson, O. Eriksson B. Stenkvist and S. Westman-Naeser.
In The Automation of Cancer Cytology and Cell Image Analysis, N. J. Pressman
and G. L. Wied, eds. Chicago, 159-166, 1979
C6. Using Tracking Algorithms for Cell Segmentation. T.
Jarkrans, E. Bengtsson, O. Eriksson, B. Nordin, B. Stenkvist. Proceedings of
First Scandinavian Conference of Image Analysis, Linköping, Sweden,
325-330, 1980.
C7. MTGP - A Device Independent Graphical Package.
B.Nordin, E.Bengtsson, O.Eriksson, T.Jarkrans and B.Stenkvist. Proceedings
of First Scandinavian Conference of Image Analysis. Linköping, Sweden,
142-147, 1980.
C8. ILIAD - An Interactive Language for Image
Analysis. O. Eriksson, E. Bengtsson, T. Jarkrans, B. Nordin and B.
Stenkvist. Proceedings of First Scandinavian Conference of Image
Analysis, Linköping, Sweden, 130-135, 1980.
C9. TULIPS, The Uppsala-Linkoeping Image Processing
System. E.Bengtsson, O.Eriksson, T.Jarkrans, B.Nordin, B.Stenkvist. Proceedings
of First Scandinavian Conference of Image Analysis, Linköping, Sweden, 177-182,
1980.
C10.
Detection of Overlapping Cell Nuclei. E.Bengtsson,
O.Eriksson, T.Jarkrans, B.Nordin, B.Stenkvist. Proceedings of First
Scandinavian Conference of Image Analysis, Linköping, Sweden, 319-324, 1980.
C11.
Image Analysis and Pattern Recognition in Cancer
Diagnosis. B.Stenkvist, E.Bengtsson, O.Eriksson, T.Jarkrans and B.Nordin.
Proceedings of First Scandinavian Conference of Image Analysis, Linköping,
Sweden, 342-347, 1980.
C12.
The tradeoff between flexibility and speed in a high
level interactive image analysis system. O. Eriksson,
E. Bengtsson, T. Jarkrans, B. Nordin and B. Stenkvist. Proceedings
of the Second Scandinavian Conference of Image Analysis, Helsingfors,
Finland, 100-105, 1981.
C13.
Segmentation of microscopic cell images by minimum
error thresholding. B. Dahlqvist, E. Bengtsson, O. Eriksson, T.
Jarkrans, B. Nordin and B. Stenkvist. Proceedings of the
Second Scandinavian Conference of Image Analysis, Helsingfors, Finland, 351-356,
1981.
C14.
Evaluation of an automated TV microscope for
digitizing cell images. T. Jarkrans, E. Bengtsson, O. Eriksson, B.
Nordin, P. Rowa and B.Stenkvist. Proceedings of the Second Scandinavian
Conference of Image Analysis, Helsingfors, Finland, 346-350, 1981.
C15.
Object Oriented Cell Image Segmentation. B
Nordin, E Bengtsson, B Dahlqvist, O Eriksson, T
Jarkrans, and B Stenkvist. Proc. ISMII-82, IEEE Comp Soc Press, 140-145,
1982.
C16.
Computer assisted scanning microscopy in cytology. E
Bengtsson, B Dahlqvist, O Eriksson, T Jarkrans, B Nordin, B Stenkvist. Proc.
ISMII-82, IEEE Comp Soc Press, 497503, 1982.
C17.
Tuning of an interactive software system for image
analysis to quantitative microscopy. O Eriksson,
E Bengtsson, T Jarkrans, B Nordin, B Stenkvist. Proc.
ISMII-82, IEEE Comp Soc Press, 549-553, 1982.
C18.
.Algorithms for Cluster Analysis. B
Dahlqvist, E Bengtsson, O Eriksson, T Jarkrans,
B Nordin and B Stenkvist. Proceedings of Third Scandinavian Conference on Image
Analysis, Copenhagen, Denmark, 134-139, 1983
C19.
Cervical Pre-Screening Using Computerized Image
Analysis. E Bengtsson, B Dahlqvist, O Eriksson, T Jarkrans, B
Nordin and B Stenkvist. Proceedings of Third Scandinavian Conference on
Image Analysis, Copenhagen, Denmark, 404-411, 1983.
C20.
Medical Image Processing. E Bengtsson. In proceedings
from Biosignal 86, Brno, Czechoslovakia, 1986
C21.
The Design of an Image Analysis System. E Bengtsson
and O Eriksson. Proceedings of the 5th Scandinavian Conference on Image
Analysis, Stockholm. 217-224, 1987.
C22.
Some Experiences from Our Cervical Prescreening
Project. B Nordin, E Bengtsson, O Eriksson, T Jarkrans & B
Stenkvist. Proceedings from the First Conference of the European
Society for Analytical Cellular Pathology,
C23.
Image Workstations in Radiology. 2D and 3D Image
Display Methods. E. Bengtsson. In Lecture Notes of the ICB Seminar, Madralin,
Poland, 1989: 26-43. Warszawa, 1991. .
C24.
The automation of cervical cytology. Problems and
experiences. E. Bengtsson, B Nordin, B Stenkvist, O Eriksson, T
Jarkrans. In Lecture Notes of the ICB Seminar, Madralin, Poland,
1989: 283-358. Warszawa, 1991.
C25.
MUSE - A New Tool for Image Segmentation Based on
Multivariate Statistics. E Bengtsson, B Nordin & F Pedersen. Proceedings of
the 7th Scandinavian Conference on Image Analysis:798-806 Aalborg, 1991.
C26.
The Radiology Conference - a Demanding PACS
Application. E Bengtsson, A Ehn, S Holtås, EM Larsson & G Svahn:
Proceedings of SCAR92. Computer Applications to Assist Radiology:357-362, 1992.
C27.
Automated Recognition and Precise Estimation of
Orientation of Objects for Industrial Applications. CL Orbert, E Bengtsson
& B Nordin: Proceedings of Intelligent Robots and Computer Vision XI.
Algorithms, Techniques, and Active Vision, SPIE 1825:443-454,
1992.
C28.
Practical Considerations about a 2D Algorithm for
Object Orientation in Industrial Applications. CL Orbert, E Bengtsson & B
Nordin. Proceedings of IAPR Workshop on Machine Vision
Applications: 415-418,
C29.
Watershed Segmentation of Binary Images Using Distance
Transformations. CL Orbert, E Bengtsson & B Nordin. Proceedings of Image
Processing: Nonlinear Image Processing IV, SPIE,
C30.
A numerically derived method for preprocessing of
noisy data before applying Principal Component Analysis. F Pedersen, E
Bengtsson & D Jonsson: Proceedings of the Eight Scandinavian Conference on Image Analysis,
C31.
A volumetric model for identifying anatomical
structures in tomographic brain images. L Thurfjell, E Bengtsson & C Bohm.
Proceedings of the Eight Scandinavian Conference on
Image Analysis,
C32.
PADMA - Classification of Manure Distributions. CL
Orbert, E Bengtsson, B Nordin & CM Pettersson. Proceedings
of the Eight Scandinavian Conference on Image
Analysis,
C33.
A Parallel Connected Component Labeling Algorithm
combined with feature extraction. T Johansson & E Bengtsson. Proceedings of the Eight Scandinavia Conference on Image Analysis,
Tromsö, Norway 1231-1238, 1993.
C34.
Texture analysis as a method for describing disorder in
histological sections. HK Choi, E Bengtsson, T Jarkrans, J Vasko, PU Malmström,
K Wester & C Busch. Proceedings of the Eight Scandinavian Conference on Image Analysis, Tromsö, 839-846, 1993.
C35.
.Using principal components analysis to visualize the
spatial distribution of functional areas of the brain as studied with MRI
dusing motor and sensory activation. F Pedersen, E Bengtsson, T
Hindmarsh, B Nordell and H Forssberg. Proceedings
of SPIE 2168, Medical Imaging, Physiology and Function from Multidimensional
Images, Newport Beach, 260-268, 1994.
C36.
Quantitative analysis of volume images - electron
microscopic tomography of HIV. I Nyström, E Bengtsson, B Nordin and G
Borgefors. SPIE Medical Imaging 2167, Image Processing, Newport
Beach, 296-303, 1994.
C37.
Minimum spanning trees (MST) as a tool for describing
tissue architecture when grading bladder carcinoma. H-K Choi, E Bengtsson, T
Jarkrans, J Vasko, K Wester, P-U Malmström and C Busch. Proceedings of 8th
International Conference on Image Analysis and Processing. (ICIAP 95), Sanremo, Italy, 615-620, 1995.
C38.
Finding Facial Features Using an HLS Colour Space. P
Ranefall, B Nordin, E Bengtsson Proceedings of 8th International Conference on
Image Analysis and Processing (ICIAP 95), Sanremo, Italy, 191-196, 1995.
C39.
Surface construction especially suited for
visualization of thin structures. R. Hult, E. Bengtsson, L. Thurfjell. Proceedings of SCIA 10, 359-363, 1997.
C40.
Investigating preprocessing of multivariate images in
combination with principal component analysis. F. Pedersen, L. Anderson, E.
Bengtsson. Proceedings of SCIA10, 479-485, 1997.
C41.
Segmentation of Brain in MRI Using Grey Level
Morphology and Propagation of Information. R. Hult, E. Bengtsson, L. Thurfjell.
SCIA 11, 367-373, 1999
C42.
Classification of Functional Pattern sin SPECT Brain
Scans Based on Partial Least Squares Analysis. R.Lundqvist, E. Bengtsson,
H.Jacobsson, C.Jonsson, S. Larsson, M. Pagani, A. Wägner, L.Thurfjell. SCIA 11, 375-381, 1999.
C43. A
3D Deformable Surface Model to Segment the Brain in MR Images. F.
Wehrmann, E. Bengtsson, L.Thurfjell. SCIA 11, 289-294, 1999.
C44.
Development of a Computer Program for Volume Estimation
of Arteriovenous Malformations from Biplane DSA Images. R. Lundqvist, M.
Söderman, K. Ericson, E. Bengtsson and L. Thurfjell} Proc. 3rd MICCAI
Conference,
C45.
Using Feature-Vector Based Analysis, based on Principal
Component Analysis and Independent Component Analysis, for Analysing
Hyperspectral Images, H H Muhammed, P Ammenberg,
C46.
Multiple tissue antigen analysis by sequential
immunofluorescence staining and multi-dimensional image analysis, C Wählby, F
Erlandsson, K Nyberg, J Lindblad, A Zetterberg, E Bengtsson, SCIA 2001, 25-32,
2001
C47.
Combined Visualisation of Functional and Anatomical
Brain Images, R Hult,
C48.
A Comparison of Methods for Estimation of Intensity
Non-uniformities in 2D and 3D Microscope Images of Fluorescence Stained Cells. J Lindblad, E
Bengtsson, SCIA 2001, 264-271, 2001.
C49.
Grey-level Morphology Based Segmentation of T1-MRI of
the Human Cortex, R Hult,
C50.
Approximated Phong Shading by using the Euler Method.
A. Hast, T. Barrera, E. Bengtsson, Eurographics
2001, Manchester, UK, Blackwell Publishers Ltd,
C51.
An Evaluative Study of Simulated Annealing Based
MRI-SPECT Brain Scan Registration. R Lundqvist, L Barnden, S Som,
E Bengtsson, L Thurfjell. IASTED
Int. Conf. on Visualization, Imaging and Image Processing, 423-427, 2001.
C52.
Improved Shading
Performance by Avoiding Vector Normalization. A Hast, T Barrera, E Bengtsson.
Proceedings of WSCG 2001 Conference, University of West Bohemia, Czech
Republic, 1-7, 2001.
C53.
Reconstruction
filters for bump mapping. A Hast, T Barrera, E Bengtsson. Proceedings of WSCG 2002
Conference, University of West Bohemia, Czech Republic, 9-12, 2002.
C54.
Improved bump mapping
by using quadratic vector interpolation. A Hast, T
Barrera, E Bengtsson, Eurographics 02,
C55.
Surface construction with near least square
acceleration based on vertex normals on triangular meshes. T Barrera, A Hast, E
Bengtsson. SIGRAD 2002 Conference Proceedings, Norrköping,
17-22, 2002.
C56.
Color Correction of
Underwater Images Based on estimation of Diffuse Attenuation Coefficients. J
Åhlen, E Bengtsson, T Lindell. Proceedings of IS&T’s 2003 PICS Conference,
325-329, 2003
C57.
Segmentation of Cell Nuclei in Tissue by Combining
Seeded Watersheds with Gradient Information. C Wählby and E Bengtsson. ,
Proceedings of SCIA, J Bigun and T Gustavsson,
eds. Springer LNCS 2749, 408-414, 2003.
C58.
Modelling of Shapes without Landmarks. F Wehrmann, E
Bengtsson. , Proceedings of SCIA, J Bigun and T
Gustavsson, eds. Springer LNCS 2749, 771-777, 2003.
C59.
Computerized Cell Image Analysis: Past, Present and
Future. Ewert Bengtsson, Proceedings of SCIA, J Bigun and T Gustavsson, eds.
Springer LNCS 2749, 395-407, 2003.
C60.
Watershed techniques for segmentation in image
cytometry. Wählby, Carolina and Bengtsson, Ewert. Proceedings of the 1st
International Cytomics Conference . -
C61.
Modelling non-linearities in images using an
auto-associative neural network. Wehrmann, Felix; Bengtsson, Ewert. Proceedings
of 10th International Conference on Computer Analysis of Images and Patterns
(CAIP 2003) S. 754-761 - (Lecture Notes in Computer
Science 2756)
C62.
Color Correction of Underwater Images Based on
Estimation of Diffuse Attenuation Coefficients. Julia Åhlén, Bengtsson Ewert,
Lindell Tommy. The PICS Conference, An International Technical Conference on
The Science and Systems of Digital Photography, including the Fifth
International Symposium on Multispectral Color Science, Rochester, NY, May 13,
2003 .- The Society for Imaging Science and Technology , USA,
2003 (6) - S. 325-329
C63.
Robust Cell Image Segmentation Methods. Bengtsson
Ewert, Wählby Carolina, Lindblad Joakim. Proceedings of Pattern recognition and
image understanding, OGRW-6.-
C64.
Incremental spherical linear interpolation. Barrera,
Tony, Hast, Anders, Bengtsson, Ewert. SIGRAD 2004: Special theme -
Environmental visualization, Linköping electronic conference proceedings, vol
13, pp.7-10.
C65.
Fast intensity distribution functions for soft and
hard edged spotlights. Hast, Anders, Barrera, Tony, Bengtsson, Ewert.
International Conference in
C66.
Haptic guided seeding of MRA images for semi-automatic
segmentation. Vidholm, Erik, Tizon, Xavier, Nyström, Ingela, Bengtsson, Ewert.
IEEE International Symposium on Biomedical Imaging (ISBI 2004), Proc., pp.
288-291.
C67. Visualisation of the pattern of contrast enhancement
in dynamic breast MRI. Mehnert
Andrew, Bengtsson Ewert, McMahon Kerry, Kennedy Dominic, Wilson Stephen,
Crozier Stephen. Proceedings of WDIC 2005, APRS, pp 67-72.
C68.
Automatic Tracking of Neural Stem Cells. Chunming
Tang, Bengtsson Ewert. Proceedings of WDIC 2005, APRS, pp 61-66.
C69.
Dissolved Organic Matters Impact on Colour
Reconstruction in Underwater Images. Åhlen Julia, Sundgren Daniel, Lindell,
Tommy, Bengtsson, Ewert. Proceedings of SCIA 2005, LNCS 3540, pp 1148-1156.
C70.
Computerized Cell Image Processing in Healthcare.
Bengtsson Ewert. Proceedings of Healthcomm 2005,
C71.
Segmentation and tracking of neural stem cells.
Chunming Tang, Ewert Bengtsson. Proceedings of ICIC2005, Part
II, LNCS 3645, pp 851-859, 2005.
C72.
Connected Minimal Acceleration Trigonometric Curves.
Barrera Tony, Hast Anders, Bengtsson Ewert, Proceedings of SIGRAD 2005,
Linköping electronic press, vol 15, pp 1650-3686, 2005.
C73.
Pre-processing of Underwater Images Taken in Shallow
Water for Color Reconstruction Purposes. Åhlen
Julia, Sundgren Daniel, Bengtsson Ewert. Proceedings of SIP 2005 (CD-ROM)
C74. Possibilities in Using Skin Texture Based
Image Registration for Movement Analysis. Holmberg Björn, Nordin Bo, Bengtsson
Ewert, Lanshammar Håkan. Proceedings of Ninth International
Symposium on the 3D Analysis of Human Motion, 4p, 2006.
C75. Incremental Spherical
Interpolation with Quadratically Varying Angle. Anders Hast, Tony
Barrera and Ewert Bengtsson. Proceedings of SIGRAD 2006.
Linköping Electronic Conference Proceedings, 36-38, 2006.
C76. Finding cells, finding
molecules, finding patterns. Wählby,
C77. Fast Near Phong-Quality Software Shading.
T Barrera, A Hast, E Bengtsson. Proceedings
of WSCG’2006, 7 pages.
C78. The spatial distribution of nuclei in
single skeletal muscle cells as visualised by 3-D images: the differences in
organisation between species and between healthy cells and cells affected by
disease. Höglund
Anna-Stina, Liu Jingxia, Karlsson Patrick, Lindblad Joakim, Borgefors Gunilla,
Bengtsson Ewert, Larsson Lars. Conference: Biophysical Society, 51st annual meeting,
Baltimore ML. Biophysical Journal : 637A Suppl. S.,
2007.
C79. Hardware-accelerated
volume visualization of parametrically mapped dynamic breast MRI data. Vidholm, Erik, Mehnert,
Andrew; Bengtsson Ewert, Wildermoth, Michael. McMahon, Kerry.,
C80. Fully automatic heart beat rate
determination in digital video recordings of rat embryos. Muhammad Khalid Khan Niazi, Mats F Nilsso,
Bengt R. Danielsson, Ewert Bengtsson. Proceedings of the Third International
Conference on Advances in Mass Data Analysis of Images and Signals in Medicine,
Biotechnology, Chemistry and Food Industry, pp. 27–37, 2008
C81. Vectorized table driven algorithms for
double precision elementary functions using Taylor expansions. Tony
Barrera, D Spångberg ,Anders Hast, Ewert Bengtsson. In: 8th International Conference on Applied Mathematics
(APLIMAT), 231-245, 2009.
C82. Segmentation and Visualization of 3D Medical
Images through Haptic Rendering. Ingela Nyström, Filip Malmberg, Erik Vidholm, Ewert
Bengtsson. Proceedings of the 10th International Conference on Pattern
Recognition and Information Processing (PRIP 2009), Minsk, Belarus, pp 43-48,
2009.
C83. Relaxed Image Foresting Transforms for
Interactive Volume Image Segmentation. Filip
Malmberg, Ingela Nyström, Andrew Mehnert, Craig Engstrom, Ewert Bengtsson. MEDICAL IMAGING. Proceedings of
SPIE, 2010.
C84. Two Non-linear Parametric Models of Contrast
Enhancement for DCE-MRI of the Breast Amenable to Fitting Using Linear Least
Squares. Andrew Mehnert, Michael Wildermoth, Stephen Crozier, Ewert
Bengtsson, Dominic Kennedy. In: Proceedings 2010 International Conference on
Digital Image Computing: Techniques and Applications (DICTA 2010). IEEE Computer Society; p. 611-616, 2010.
C85. PAPSYNTH: Simulated Bright-field Images of Cervical Smears. Patrik
Malm, Anders Brun, Ewert Bengtsson. In: 2010 IEEE International Symposium on
Biomedical Imaging. Biomedical Imaging: From Nano to Macro, 117-120, 2010.
C86. Recognizing signs of malignancy: The quest for computer
assisted cancer screening and diagnosis systems. Ewert Bengtsson. In: International
Conference on Computational Intelligence and Computing Research (ICCIC), IEEE
Explore, pp. 1–6, 2010.
Other publications
(abstracts, invited presentations, non-reviewed conferences, internal reports
etc)( not complete, ends 1996)
D1. A System for Recording Pictures of Microscopic Objects
Using a Moving Stage Photometer and a Mini Computer. E. Bengtsson, J. Holmquist,
B. Olsen and B. Stenkvist. Department of Clinical Cytology,
Internal Report 1974-1.
D2. Cell Analysis with Computer. B. Stenkvist, E.
Bengtsson, J. Holmquist and B. Olsen. Swed. Soc. of Med. Inform. Processing, 1974.
D3. Computer Analysis of Microscopical Images with
Application to the Detection of Cell Changes. (Datoranalys
av mikroskopbilder med tillämpning på detektion av cellförändringar) E. Bengtsson.
Inst. of Physics.
D4. Computer Registration System for Cytological and
Histopathological Diagnoses. (Dataregistreringssystem för
Cytologiska diagnoser) O. Eriksson, S. Westman-Naeser, B. Stenkvist,
E. Bengtsson and J. Holmquist. Verdict to the Swedish Board for Planning and Rationalizing Medical Care, 1976.
D5. Measurement of Cells with Computer. (Mätning
av celler med hjälp av dator). E. Bengtsson, O. Eriksson, J. Holmquist and B.
Stenkvist. Swedish Society of Medical Physics, 1976.
D6. The CELLO interactive cell analysis system. Presented at
NATO Advanced Study Institute on Digital Image Processing and Analysis,
D7. System for Interactive Graphical Image Processing of
Microscopic Cell Images. E. Bengtsson. Decus Nordic Bulletin, 8:4-5,
1976.
D8. A Data and Program Structure for Computer Analysis of
Microscopic Cell Images. J. Holmquist, E. Bengtsson, O. Eriksson and B.
Stenkvist. Department of Clinical Cytology, Uppsala,
Internal report 1976-3.
D9. Computer Analysis of Cervical Cells: Low Resolution
Segmentation. E. Bengtsson, O. Eriksson, J. Holmquist and B. Stenkvist.
Department of Clinical Cytology, Internal Report 1977-3.
D10.
Grading of Breast Cancer with Computerized Photometry
and Image Processing. B. Stenkvist, J. Holmquist, E. Bengtsson, O.
Eriksson and B. Nordin. Second Internat. Conf. on Cytol. Automation and Cell Image Analysis, Tokyo, 1977.
D11.
Progress in Cytology Automation in Uppsala. E
Bengtsson and B Stenkvist. Second International
Conference on Automation of Cancer Cytology and Cell Image Analysis,
D12. Digital
Image Analysis in Cytology (Datorstödd bildanalys inom cytologin). B.
Stenkvist, E. Bengtsson, O. Eriksson, J. Holmquist, B. Nordin, B.Olsen, and
S.Westman-Naeser. Swed. Soc. Med. Inform. Processing, l977.
D13. Characterizing
Cells with Computer. (Karaktärisering av celler med hjälp av dator). J.
Holmquist, E. Bengtsson, O. Eriksson, B. Nordin, B. Olsen, B. Stenkvist, and S.
WestmanNaeser. Swed. Soc. Med. Inform. Processing, l977.
D14. Automated Systems for Cell Analysis (Automatiska system för cellanalys). E. Bengtsson, O. Eriksson, J. Holmquist, B. Nordin, B. Olsen, B. Stenkvist and S. WestmanNaeser. Swed. Soc. Med. Inform. Processing, l977.
D15.
Cytological and Histopathological Classification of
Breast Cancer. A Reproducibility Analysis. (Cytologisk och
histopatologisk klassifikation av bröstcancer. En tillförlitlighetsanalys). B.
Stenkvist, S. Westman-Naeser, E. Bengtsson, J. Holmquist, O. Eriksson, B.
Nordin and J. Vegelius. Swed. Soc. Clin. Cyt., l977.
D16.
Computerized Image Processing in Cancer Research. (Datoriserad
bildbehandling inom cancerforskningen). E. Bengtsson. Inst. of Physics, Uppsala University, 1977.
D17.
Image Analysis in Cancer Research. (Bildanalys
inom cancerforskningen). E. Bengtsson. Colloqium
in Physics at Royal Institute of Technology, 1977.
D18.
.A new method to classify tumor cell populations based
on photometry and digital image analysis. (En ny metod
för klassifikation av tumörcellspopulationer baserad på fotometri och
bildbehandlingsmetodik). B. Stenkvist, S. Westman-Naeser, E. Bengtsson, J.
Holmquist, O. Eriksson, B. Nordin and J. Vegelius. Swed. Soc.
Clin. Cyt., 1977.
D19.
Computer analysis of cell populations from breast
cancer. J. Holmquist, E. Bengtsson, O. Eriksson, B. Nordin and B.
Stenkvist. Engineering Foundation Conf.,
D20.
High resolution segmentation of cervical cells. E.
Bengtsson, O. Eriksson, J. Holmquist, B. Nordin, B. Stenkvist. Engineering Foundation Conf. Schloss Elmau, Bavaria,
1978.
D21.
An interactive system for development of cell image
analysis algorithms. E. Bengtsson, O. Eriksson, J. Holmquist, B. Nordin,
B. Stenkvist. Royal Microscopical Society,
D22.
Image processing of free-lying cervical cells. J.
Holmquist, E. Bengtsson, O. Eriksson, B. Nordin, B. Stenkvist. Royal
Microscopical Society,
D23.
ILIAD - Interactive Language for Image Analysis and
Display. O.Eriksson, E.Bengtsson, T.Jarkrans, B.Nordin, B.Stenkvist. VII:th Conference on Cytology Automation (Engineering
Foundation),
D24.
Using Tracking Algorithms for Cell Segmentation. T.
Jarkrans, E. Bengtsson, O. Eriksson, B. Nordin and B. Stenkvist. VII:th Conference on Cytology Automation (Engineering
Foundation),
D25.
Segmentation of cervical cells. E.
Bengtsson, O. Eriksson, J. Holmquist, B. Nordin, B. Stenkvist.
Int. conf. on pattern recognition of cell images,
D26.
TULIPS - The Uppsala-Linköping Image Processing
System. J. Holmquist, O. Eriksson, E. Bengtsson, D. Antonsson, P.E. Danielsson,
T. Olsson and B. Stenkvist. Int. conf. on pattern recognition of cell images.
Chicago, 1979. .
D27.
Automated cell analysis through computerised image
processing. (Automatisk cellanalys genom datoriserad bildbehandling) E.
Bengtsson, First conference of the swedish society for
image analysis,
D28.
A new programming language for biomedical image
processing. (Ett nytt generellt språk för databehandling av
bilder inom medicinen) O. Eriksson, E. Bengtsson, T. Jarkrans, B. Nordin, B. Stenkvist. Swed.
Soc. of Medical Inform. Proc. Stockholm, 1979.
D29.
Computer analysis of cell images. (Datoranalys
av cellbilder), Decus Nordic Bulletin, pp. 9-10, Nr 21, 1980.
D30. Image
Analysis in Medical Diagnosis. (Bildanalys inom medicinsk diagnostik). E
Bengtsson. Lecture
at Tekniska Veckan,
D31.
Digital Image Processing - a General Review. E
Bengtsson. Invited lecture, Finnish Image Processing Seminar,
Espoo, 1980.
D32.
Biomedical applications of Digital Image Processing. E
Bengtsson. Invited lecture, Finnish Image Processing Seminar,
Espoo, 1980.
D33.
Two dimensional signal processing. (Tvådimensionell signalbehandling). E Bengtsson. Lecture
at Tekniska Veckan,
D34.
Computer Vision - an Aid to more Inexpensive and
better Medical Diagnosis. (Seende datorer - ett hjälpmedel till billigare och
bättre medicinsk diagnostik). E
Bengtsson. Lecture at Tekniska Veckan,
D35.
Experiences from developing a graphical program
package. (Erfarenheter av att utveckla ett eget grafiskt
programpaket). B Nordin, E Bengtsson, O Eriksson and B Stenkvist. SIGRAD
Bulletin, pp. 20-21, Nr: 14-15, 1982
D36.
Image Processing in Sweden. E Bengtsson. Presentation
at Japanese Image Processing Conference in
D37.
Image Analysis in Characterizing Human Cancer Cell
Populations in Breast and Cervix Sprecimens. B Stenkvist,
E Bengtsson, O Eriksson, T Jarkrans and B Nordin. 3:rd
Scandinavian Symposium on Morphometry and Stereology in Biology and Medicine.
D38.
Automated Vision Based Screening Systems in Medicine.
E Bengtsson. At International Workshop on Computer Vision and
Industrial Applications, Stockholm, 1984.
D39. Introduction
to Computerized Image Analysis. (Introduktion till datoriserad bildanalys). E
Bengtsson. Texas Instruments Nordic Technology Center symposium
on Computerised Image Analysis. Stockholm, 1984.
D40. Computer
Graphics. (Datorgrafik). E Bengtsson. Preliminary compendium,
D41.
From a Microscopical Viewpoint. (Mikroskopisk
Synvinkel). E Bengtsson. Lecture at IM course on Image Processing - Image
Analysis.
D42.
Image Processing in Medicine.
(Bildbehandling inom medicinen). Lectures at STF
course in Robot Vision for Industrial Applications, Västerås 1985.
D43.
An Evaluation of SPIDER, a Portable Subroutine Package
for Image Analysis, and an outline of its use in the Interactive ILIAD
Environment. B Rossi, O Eriksson, E Bengtsson, T Jarkrans, B Nordin
and E Bengtsson. Swedish Society for
Automated Image Analysis Symposium, 35 - 40, 1985.
D44.
Specification - Epsilon Software System. E Bengtsson.
IMTEC - Image Technology AB, 1985.A System for Measuring Tumor Cell DNA. (Ett
system för mätning av tumörcells DNA). Svensk onkologisk förenings
vårmöte, Lund 1986.
D45.
Advantages and problems
of microprocessors. (Konstruktionsmässiga problem och fördelar med
mikrodatorer). E Bengtsson. In symposium on the reliability of
microprocessors in medical systems at Medicinska
Riksstämman,
D46.
The IMTEC - concept. E Bengtsson. At
NORDMEDTEK Conference on Image Processing with Medical Applications, Stockholm,
1986.
D47. Image
Analysis in Medicine. (Bildanalys inom medicinen). E Bengtsson. Tutorial
at the Swedish Society for Automated Image Processing Symposium, Uppsala 1986.
D48. Image
Processing in Medicine. (Bildbehandling inom medicinen). Lecture
at STF course in Robot Vision for Industrial
Applications, Västerås 1986.
D49.
Image
Analysis in Medicine.
D50.
Image Analysis: Automated Metaphase Finding. (Bildanalys:
Automatiserad metafasletning.) E Bengtsson, J Wahlström and L Mellqvist. Svensk
Förening för Medicinsk Informationsbehandling, Gothenburgh, 1987.
D51.
Image
Analysis as a Tool in Medicine and Biology. (Bildbehandling
som verktyg inom medicin och biologi). E Bengtsson. Datalära 87.
Stockholm 1987.
D52.
User Friendly Image
Processing. (Användaranpassad bildbehandling).
D53.
Digital Image Processing in Radiology. E Bengtsson,
Presentation at the XI International Congress of Head and Neck Radiology,
D54.
Radiological diagnosis over the telephone network.
(Röntgendiagnos via telenätet)
D55.
Some Experiences and Observations on the use of
Multivariate Methods in Cytochemical Image Analysis. E Bengtsson, B Nordin,
Presentation at SSC1 - The First Scandinavian Symposium on Chemometrics,
D56.
Digital Image Processing - New Tools for the
Visualization of Body Structures.
D57.
.Research and Activity Plan 1990-1994, (Forsknings och
verksamhetsplan), S Jaakkola, T Lindell, E Bengtsson, Centre for Image Analysis
Report, No 1. , 1989.
D58.
Computers Adds New Dimensions to Medical Images. (Datorer
ger medicinska bilder fler dimensioner) E Bengtsson, Popular presentation on
image analysis and 3D medical image rendering in Medicinsk Teknik, September
1989.
D59.
Image Analysis in Radiology.
D60.
Multivariate Image Segmentation. E Bengtsson and B
Nordin. Proceedings of the SSAB Conference on Image Analysis, Gothenburg,
March 1989. 56-61, 1989.
D61.
The Image in Medicine, E Bengtsson, Invited lecture at
the Swedish Society for Medical Engineering and
Medical Physics conference in
D62.
Multivariate Image Analysis. E Bengtsson, Invited
lecture at the Department of Organic Chemistry, Umeå University. June
1990.
D63.
MUSE - Multivariate Image Segmentation.
D64.
The development in image processing in Sweden. E
Bengtsson, Invited lecture at the annual conference of the heads of the medical
technology departments of Swedish hospitals.
D65.
Methodological Problems in Image Analysis of
Histopathological and Cytogical Specimens. E Bengtsson. Invited lecture at the
Swedish Society for Pathology symposium on Analytical and quantitaitve
histopathology and cytology in
D66.
The MUtivariate image SEgmentation project and other
research in image analysis at the Centre for Image Analysis in Uppsala. E
Bengtsson. Proceedings of the SSAB Symposium on Image Analysis, Linköping,
March 1990. 57-66, 1990.
D67.
MUSE - A MUltivariate image SEgmentation Tool.
Bengtsson E, Nordin B & Pedersen F. Proceedings of
SSAB Conference on Image Analysis, 18-25, Stockholm, 1991.
D68.
Image Processing Algorithms on General Purpose
Parallel Computers. Johansson T & Bengtsson E. Proceedings of SSAB
Conference on Image Analysis: 196-199,
D69.
A Connected Components Labelling Algorithm for
Three-dimensional Volume Data. Thurfjell L, Bengtsson E & Nordin B.
Proceedings of SSAB Conference on Image Analysis. 247-250,
Stockholm, 1991.
D70.
The IMTEC PACS Concept. E Bengtsson. Presentation at the symposium PACS and Teleradiology, Stockholm,
May 1991.
D71.
The IMTEC PACS Concept. E Bengtsson. Presentation at
the 2nd Japan-Nordic Symposium on PACS,
D72.
Experiences from a clinical teleradiology trial. E
Bengtsson, B Sahlstedt, A Bergstedt. Abstract from EuroPACS-91, p.
30, Berlin, June 1991.
D73.
Image Analysis Algorithms on Hypercube Computers.
Johansson T & Bengtsson E: Presented at STU Conference,
D74.
Image Analysis in Cytology; DNA-histogramming versus
cervical smear prescreening. E Bengtsson. Invited talk at the conference on
advanced concepts in biology; towards standardization in immuno and DNA assays,
at Salon Laboratoire,
D75.
Multivariate Analysis of Noisy Multitemporal Images.
Pedersen F, Bengtsson E, Nordin B, Westerlund C & Bergström M. Proceednings
of SSAB Conference on Image Analysis:215-218, Uppsala 1992.
D76.
D.Grading of Transitional Cell Bladder Carcinoma by
Texture Analysis. Choi HK, Bengtsson E, Jarkrans T & Busch C. Proceedings
of SSAB Conference on Image Analysis, 229-232, Uppsala 1992.
D77.
Editors of Proceedings from the SSAB-symposium on
image analysis, Uppsala 10-11 March 1992. O Eriksson,
E Bengtsson. 290p.
D78.
Computer vision and Robot Microscopes: the technology
behind cytology automation. E Bengtsson. Invited talk at the British Society
for Clinical Cytology 31st Annual Meeting, September 1992.
D79.
Grading of Transitional Cell Bladder Carcinoma by
Object Oriented Image Analysis. Jarkrans, E Bengtsson, H-K Choi, J Vasko, K
Wester, P-U Malmström and C Busch. Abstract in Journal of the European society
for analytical cellular pathology. Vol 4, nr 3, p 192, 1992.
D80.
Grading of Transitional Cell Bladder Carcinoma by
texture Analysis. H-K Choi, E Bengtsson, T Jarkrans, J Vasko, K Wester, P-U
Malmström and C Busch. Abstract inJournal of the European Society for
Analytical Celluar Pathology. Vol 4. Nr. 3, p 142, 1992.
D81.
Computerized Wound Analysis - a new important tool for
objective follow-up of the healing process. E Bengtsson, N Engström, L
Hellgren, J Vincent. Abstract from the European Tissue Repair Society Second
Annual Meeting, Malmö, p 86, 1992.Interactive multivariate image analysis used
for classification of surface soils in a Landsat TM satellite image. Pedersen, F., Andersson, L., and Bengtsson, E., Proceedings of the
Swedish Society for Automated Image Analysis Symposium, Gothenburg, 171-174,
1993.
D82.
Fast erosion and dilation on three-dimensional binary data., L. Thurfjell,
D83.
Normalizing Volume Images Based on the Moment of
Inertia for an Object. I Nyström, E. Bengtsson, B Nordin, Nilsson and S Höglund. Proceedings
of the Swedish Society for Automated Image Analysis Symposium, Gothenburg,
127-130, 1993.
D84.
Digital Image
Analysis: Techniques and Methods. (Digital bildanalys: Teknik och metoder). Invited
paper at Symposium on Image Analysis and Remote Sensing in the Service of
Agriculture at Swedish Academy of Agricultural Sciences, 8p. September 1993.
D85.
Healing Assesment by Computerized Wound Analysis. E
Bengtsson, N Engström, L Hellgren, T Johansson, B Nordin, K Rundt and J
Vincent. Abstract in the proceedings from the Joint Meeting of
the Wound Healing Society and the European Tissue Repair Society, Amsterdam, p
85, 1993.
D86.
PACS for Improvements of Radiology Conferences. Holtås
S, Svahn G, Larsson E-M, Bengtsson E and Ehn A. Proceedings of Nordic symposium
on PACS, Digital Radiology and Telemedicine, p 22- 24, Stockholm 1993.
D87.
A new method for segmentation of color images applied
to immunohistochemically stained cells. P Ranefall, B
Nordin, E Bengtsson, L Jönsson, Presented at the 3rd Conference of the European
Society for Analytical Cellular Pathology, Abstract in Analytical Cellular
Pathology, 6: 1994.
D88.
Principal component analysis of dynamic PET and gamma
camera images: A methodology to visualize the signals in the presence of
large noise. F Pedersen, M Bergström, E Bengtsson and E Maripuu. IEEE
conference record Nuclear Science Symposium & Medical Imaging, San
Fransisco, 1734-1738, 1994.
D89.
Supervising a principal component analysis with
respect to imagery and application characteristics. Pedersen F, Andersson L,
Bengtsson E. Manuscript, 1994.
D90.
Experiences from our participation in the AIM EurIPACS
project. E Bengtsson. Invited talk at a hearing at the Department of Industry
on EU sponsored research, February 1994.
D91.
Medical Image Processing research in Uppsala. E
Bengtsson. Invited presentation at hearing by the Swedish
research financing boards NFR and TFR. February 1994.
D92.
A new metric in color space used for supervised and
unsupervised image segmentation. P Ranefall, B Nordin and E Bengtsson. Proceedings of the SSAB Conference on Image Analysis, Halmstad,
77-80, 1994.
D93.
Minimum Spanning Tree (MST) as an Algorithm for
Grading Bladder Carcinoma in Images of Histological Sections. H-K Choi, E
Bengtsson, T Jarkrans, J Vasko, P-U Malmström, KJ Wester and C Busch.
Proceedings of the SSAB Conference on Image Analysis, Halmstad, 99-102, 1994
D94.
.Parallel Algorithms on Compact Binary Objects. T
Johansson and E Bengtsson. Proceedings of the SSAB Conference on Image
Analysis, Halmstad, 127-130, 1994
D95.
Quantification in color images of
immunohistochemistry. (Kvantifiering i färgbilder av
immunohistokemi mm).
D96.
MUSE - MUltivariate SEgmentation User's Guide and
Algorithm Description. B Nordin, E Bengtsson and F Pedersen, Report nr 17 from
Centre for Image Analysis,
D97.
Computer Assisted Analysis of X-ray Images. E
Bengtsson. Invited paper at the Jubilee symposium
"X-rays in Natural Science and Medicine" at Uppsala University, March
1995.
D98.
VISIT - VISual Information Technology. Proposal to the
Foundation for Strategic Research, E Bengtsson, coordinator. May 1995.
D99.
Image processing using parallell computers. (Biuldbehandling
på parallelldatorer.) E Bengtsson. Presentation
at NUTEK program conference on Method development for super- and parallell
computers, Uppsala, September 1995.
D100. Comparison
of Two Texture Based Methods for Cell Nucleus Segmentation. H-K
Choi, E Bengtsson, Proceedings of SSAB Symposium on Image Analysis, Lund,
86-90, 1996.
D101. Finding
"Brush Strokes" and "Spots in Practice: Fibroblasts and
Collagen. P Ranefall, M Gustafsson, G Borgefors and E Bengtsson, Proceedings of SSAB Symposium on Image Analysis,
D102. Mapping
the Cellular Contents of Pap Smears. E Bengtsson, B Nordin, P Gombrich and R
Domanik. Abstracts of the Fourth International Conference on the Computerized
Cytology and Histology Laboratory, In Analytical and Quantitative Cytology and
Histology, Vol 18, 49-50, Feb 1996.
D103. Quantification
of immunohistochemistry through computerized image analysis. (Kvantifiering
av immunohistokemi mm genom datoriserad bildanalys.) E Bengtsson, C Busch, H-K
Choi, T Jarkrans and P Ranefall. Presentation
at NUTEK national conferennce on Medical Technology, Stockholm, April 1996.