Professor Emeritus | Uppsala University | Sweden
Prof. Ewert Bengtsson is a distinguished researcher in computerized image analysis and medical imaging, with current work on AI-based diagnostic tools for cancer detection. He earned his PhD in Physics from Uppsala University, where he developed pioneering methods for computer-aided analysis of microscopic images applied to early cancer screening. His professional experience spans research leadership, including Director of the Centre for Image Analysis, Vice Rector for IT at Uppsala University, and project leadership in both academic and industry settings. He has contributed to numerous international collaborations and led projects in medical imaging and IT-driven healthcare solutions. His research interests include AI-based medical diagnostics, computer vision, image processing, and automated cancer detection systems. He has a strong record of mentorship, guiding over 40 doctoral students, and has contributed to global research communities through program committees, editorial boards, and invited talks. His work has been recognized with fellowships, academy memberships, and distinguished awards for contributions to science, engineering, and medical imaging. He possesses advanced research skills in medical image analysis, AI, machine learning, microscopy, and software development for diagnostic tools. 3,627 citations by 2,993 documents, 137 documents, 31 h-index, view h-index button is disabled in preview mode, further highlight his global impact and recognition.
Profiles: Google Scholar | Scopus | ORCID
Featured Publications
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Wählby, C., Sintorn, I. M., Erlandsson, F., Borgefors, G., & Bengtsson, E. (2004). Combining intensity, edge and shape information for 2D and 3D segmentation of cell nuclei in tissue sections. Journal of Microscopy, 215(1), 67–76.
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Rodenacker, K., & Bengtsson, E. (2003). A feature set for cytometry on digitized microscopic images. Analytical Cellular Pathology, 25(1), 1–36.
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Bengtsson, E., & Malm, P. (2014). Screening for cervical cancer using automated analysis of PAP‐smears. Computational and Mathematical Methods in Medicine, 2014, 842037.
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Wählby, C., Lindblad, J., Vondrus, M., Bengtsson, E., & Björkesten, L. (2002). Algorithms for cytoplasm segmentation of fluorescence labelled cells. Analytical Cellular Pathology: The Journal of the European Society for Analytical Cellular Pathology.
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Stenkvist, B., Bengtsson, E., Eriksson, O., Holmquist, J., Nordin, B., & others. (1979). Cardiac glycosides and breast cancer. The Lancet, 313(8115), 563.