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Ewert Bengtsson

Ewert Bengtsson

Research.com Recognitions

  • 2015 - IEEE Fellow For contributions to quantitative microscopy and biomedical image analysis

Overview

Ewert Bengtsson is a researcher affiliated with Uppsala University in Sweden focusing on applications of artificial intelligence within medicine, particularly in cancer diagnosis and medical imaging. Their work extensively covers AI in cancer detection and the usage of radiomics and machine learning techniques for medical image analysis, with a special emphasis on prostate cancer diagnosis and treatment.

The scientist's research spans multiple disciplines, including Medicine and Computer Science. Specific subfields of study engaged by Bengtsson include Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, and Pulmonary and Respiratory Medicine.

Recent academic contributions by Bengtsson include the following publications:

  • AI-based prostate analysis system trained without human supervision to predict patient outcome from tissue samples, 2022, Journal of Pathology Informatics
  • Difficulties and Recommendations for AI-Based Prediction of Prostate Cancer Aggressiveness in Digital Pathology, 2023, Medical Research Archives
  • Robust, credible, and interpretable AI-based histopathological prostate cancer grading, 2024, bioRxiv (Cold Spring Harbor Laboratory)
  • A systematic analysis of the impact of data variation on AI-based histopathological grading of prostate cancer, 2025, Medical Image Analysis

Bengtsson frequently collaborates with other researchers including Peter Walhagen, Maximilian Lennartz, Stefan Bonn, Guido Sauter, and Christer Busch. Their work has appeared in multiple publication venues such as the Journal of Pathology Informatics, Medical Research Archives, bioRxiv, and Medical Image Analysis.

Their research topics are consistently centered around:

  • AI in cancer detection
  • Radiomics and Machine Learning in Medical Imaging
  • Prostate Cancer Diagnosis and Treatment

In recognition of their contributions, Ewert Bengtsson was awarded the IEEE Fellow distinction in 2015 for work in quantitative microscopy and biomedical image analysis.

Best Publications

  • Combining intensity, edge and shape information for 2D and 3D segmentation of cell nuclei in tissue sections.

    Carolina Wählby;Ida-Maria Sintorn;Fredrik Erlandsson;Gunilla Borgefors

  • A Feature Set for Cytometry on Digitized Microscopic Images

    Karsten Rodenacker;Ewert Bengtsson

  • Algorithms for cytoplasm segmentation of fluorescence labelled cells.

    Carolina Wählby;Joakim Lindblad;Mikael Vondrus;Ewert Bengtsson

  • Screening for Cervical Cancer Using Automated Analysis of PAP-Smears

    Ewert Bengtsson;Patrik Malm

  • Cardiac glycosides and breast cancer.

    B. Stenkvist;E. Bengtsson;O. Eriksson;J. Holmquist

  • Computerized Nuclear Morphometry as an Objective Method for Characterizing Human Cancer Cell Populations

    Björn Stenkvist;Sighild Westman-Naeser;Jan Holmquist;Bo Nordin

  • Robust Cell Image Segmentation Methods

    Ewert Bengtsson;Carolina Wählby;Joakim Lindblad

  • Sequential immunofluorescence staining and image analysis for detection of large numbers of antigens in individual cell nuclei.

    Carolina Wählby;Fredrik Erlandsson;Ewert Bengtsson;Anders Zetterberg

  • Image analysis for automatic segmentation of cytoplasms and classification of Rac1 activation.

    Joakim Lindblad;Carolina Wählby;Ewert Bengtsson;Alla Zaltsman

  • Predicting breast cancer recurrence.

    Björn Stenkvist;Ewert Bengtsson;Ewert Bengtsson;Bengt Dahlqvist;Bengt Dahlqvist;Gunnar Eklund

  • Blind Color Decomposition of Histological Images

    Milan Gavrilovic;J. C. Azar;J. Lindblad;C. Wahlby

  • Principal component analysis of dynamic positron emission tomography images.

    F Pedersen;M Bergström;E Bengtsson;B Långström

  • CBA—an atlas-based software tool used to facilitate the interpretation of neuroimaging data

    Lennart Thurfjell;Lennart Thurfjell;Christian Bohm;Ewert Bengtsson

  • Noise correlation in PET, CT, SPECT and PET/CT data evaluated using autocorrelation function: a phantom study on data, reconstructed using FBP and OSEM

    Pasha Razifar;Mattias Sandström;Harald Schnieder;Bengt Långström

  • A new method for segmentation of colour images applied to immunohistochemically stained cell nuclei

    Petter Ranefall;Lars Egevad;Bo Nordin;Ewert Bengtsson

  • Image analysis based grading of bladder carcinoma. Comparison of object, texture and graph based methods and their reproducibility

    Heung‐Kook Choi;Torsten Jarkrans;Ewert Bengtsson;Janos Vasko

  • A new three-dimensional connected components labeling algorithm with simultaneous object feature extraction capability

    Lennart Thurfjell;Ewert Bengtsson;Bo Nordin

  • A Comparison of Methods for Estimation of Intensity Non-Uniformities in 2D and 3D Microscope Images of Fluorescence Stained Cells

    Joakim Lindblad;Ewert Bengtsson

  • Computer analysis of cervical cells. Automatic feature extraction and classification.

    Jan Holmquist;Ewert Bengtsson;Olle Eriksson;Bo Nordin

  • Computerized cell image analysis: past, present, and future

    Ewert Bengtsson

Frequent Co-Authors

Olle Eriksson
Olle Eriksson Uppsala University
Anders Björkman
Anders Björkman Karolinska Institute
Anders Zetterberg
Anders Zetterberg Karolinska Institute
Stuart Crozier
Stuart Crozier University of Queensland
Mats Nilsson
Mats Nilsson Swedish University of Agricultural Sciences
Mats Wahlgren
Mats Wahlgren Karolinska Institute
Kim H. Esbensen
Kim H. Esbensen Geological Survey of Denmark and Greenland
Hans Forssberg
Hans Forssberg Karolinska Institute
Elna-Marie Larsson
Elna-Marie Larsson Uppsala University
Ulf Gyllensten
Ulf Gyllensten Uppsala University

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