Complete publication list for Ewert Bengtsson up through 2010

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, E Bengtsson, J Vegelius, O Eriksson and C H Fox. Cancer Research, 38: 4688-4697, 1978.

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, Institute of    Technology, Uppsala University,  UPTEC 73 84 E, 1973.

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. Uppsala University.  Feb 28 1997.

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., Brisbane, Australia. Editors: Smedby Örjan, Bengtsson Ewert, Persson Anders. Center for Medical Image Science and Visualization (CMIV), Linköping University, 96 pages, 2007.

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, 1989. In G Burger, M Oberholzer & GP Vooijs (eds.): Advances in Analytical Cellular Pathology: 145-146. Elsevier, Amsterdam, 1990

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, Tokyo, 1992.

C29.          Watershed Segmentation of Binary Images Using Distance Transformations. CL Orbert, E Bengtsson & B Nordin. Proceedings of Image Processing: Nonlinear Image Processing IV, SPIE, San Jose,  California, 1992.

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, Tromsö, Norway, 981-988, 1993.

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, Tromsoe, Norway pp. 473-478, 1993.

C32.          PADMA - Classification of Manure Distributions. CL Orbert, E Bengtsson, B Nordin & CM Pettersson. Proceedings of the Eight Scandinavian Conference on Image Analysis, Tromsö, Norway, 1239-1246, 1993.

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, Pittsburgh, USA, 746-755, 2000

C45.          Using Feature-Vector Based Analysis, based on Principal Component Analysis and Independent Component Analysis, for Analysing Hyperspectral Images, H H Muhammed, P Ammenberg, E Bengtsson, ICIAP 2001, 11th International Conference for Image Analysis and Processing, 309-315, 2001.

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, E Bengtsson, SCIA 2001, 84-89, 2001

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, E Bengtsson, MICCAI 2001, 1371-1372, 2001

C50.          Approximated Phong Shading by using the Euler Method. A. Hast, T. Barrera, E. Bengtsson,  Eurographics 2001, Manchester, UK, Blackwell Publishers Ltd, Oxford, UK, 43-48, 2001

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, Bristol, UK, 2002.

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 . - ISAC, UK,  2003

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.- Russian Academy of Sciences,   2003 - S. 1-4

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 Central Europe on Computer Graphics, Visualization and Computer Vision, (WSCG 2004), Proc., pp.95-99

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, Busan, Korea, IEEE 05EX1016, pp 11-17.

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, Carolina, Karlsson, Patrick, Henriksson S, Larsson C., Nilsson, Mats, Bengtsson Ewert.  Advances in Data Mining: Workshop on Mass-Data Analysis of Images and Signals in Medicine, Biotechnology and Chemistry, MDA’06, Leipzig, Germany. LNAI vol. 4065, pp 15–24, 2006

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., Wilson, Steven., Crozier, Stuart. Workshop on Interaction in medical Image analysis and visualization at 10th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2007), pp. 33-40, 2007.

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. Uppsala University, 1975.

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, Bonas, France, 1976.

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, Chicago, 1977.

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., Schloss Elmau,  Bavaria, 1978.

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, Edinburgh, 1978.

D22.          Image processing of free-lying cervical cells. J. Holmquist, E. Bengtsson,  O. Eriksson, B. Nordin, B. Stenkvist. Royal Microscopical Society, Edinburgh, 1978.

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), Asilomar, California, 1979.

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), Asilomar, California, 1979

D25.          Segmentation of cervical cells. E. Bengtsson, O. Eriksson, J. Holmquist, B. Nordin, B.  Stenkvist. Int. conf. on pattern recognition of cell images, Chicago, 1979

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, Stockholm, 1978.

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, Stockholm, 1980.

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, Stockholm, 1981.

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, Stockholm, 1981.

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 Tsukuba, Japan, 1983.

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. Oslo 1983.

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, Uppsala  University, 62 pages, 1984.

D41.          From a Microscopical Viewpoint. (Mikroskopisk Synvinkel). E Bengtsson. Lecture at IM course on Image Processing - Image Analysis. Stockholm, 1984.

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, Stockholm, 1986.

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. E Bengtsson. Invited lecture at the Royal Swedish Academy of Engineering Sciences  meeting on digital image technology, September  1987.

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). E Bengtsson. At Uppsala Möte Symposium on Information Technology and Communications, Uppsala, 1987.

D53.          Digital Image Processing in Radiology. E Bengtsson, Presentation at the XI International Congress of Head and Neck Radiology, Uppsala, June 1988.

D54.          Radiological diagnosis over the telephone network. (Röntgendiagnos via telenätet) E  Bengtsson, Invited lecture at the KIT-88 symposium in Luleå, September 1988.

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, Lappeenranta, Finland, October 1988.

D56.          Digital Image Processing - New Tools for the Visualization of Body Structures. E  Bengtsson, Presentation at the Scandinavian Neurosurgical Society 41st annual meeting in Umeå, June 1989.

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. E Bengtsson, Invited lecture at a seminar on Odontological Radiology in Gothenburg, October 1989.

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 Stockholm, November 1989.

D62.          Multivariate Image Analysis. E Bengtsson, Invited lecture at the Department of Organic  Chemistry, Umeå University. June 1990.

D63.          MUSE - Multivariate Image Segmentation. E Bengtsson, Presentation at the MADLUST International Chemometrics Symposium in Tromsö, July 1990.

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. Stockholm, September 1990.

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 Stockholm, December 1990.

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, Stockholm,  1991.

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, Tampere, Finland, June 1991.

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, Stockholm, 1991.

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, Paris, December 1991.

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, E. Bengtsson,   Proceedings of the Swedish Society for Automated Image Analysis Symposium, Gothenburg, 123-126, 1993.

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). E Bengtsson, B Nordin, P Ranefall, H-K Choi, T Jarkrans, C Busch, L Jönsson, J Vasko, P-U Malmström and K Wester. Presentation at the NUTEK program conference on medical technology, Lund, 1994.

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, Uppsala, 1994.

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, Lund, 134-138, 1996.

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.