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Anders Heyden

Anders Heyden

D-Index & Metrics

Computer Science

D-Index
31
Citations
12105
World Ranking
13335
National Ranking
102

Overview

Anders Heyden is affiliated with Lund University in Sweden and has contributed extensively to the fields of Computer Science, Medicine, and Engineering. Their research spans several subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, and Aerospace Engineering.

The main topics covered in their research include:

  • AI in cancer detection
  • Advanced Vision and Imaging
  • Radiomics and Machine Learning in Medical Imaging
  • 3D Shape Modeling and Analysis
  • Optical measurement and interference techniques
  • Robotics and Sensor-Based Localization
  • Prostate Cancer Diagnosis and Treatment

Heyden's scientific output includes papers published in various venues. Frequent publication venues are:

  • arXiv (Cornell University)
  • Journal of Medical Imaging
  • European Urology Focus
  • Applied Intelligence
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Notable recent papers are:

  • "An Artificial Intelligence-based Support Tool for Automation and Standardisation of Gleason Grading in Prostate Biopsies," 2020, European Urology Focus
  • "Detailed 3D human body reconstruction from multi-view images combining voxel super-resolution and learned implicit representation," 2021, Applied Intelligence
  • "Trust Your IMU: Consequences of Ignoring the IMU Drift," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  • "Machine learning algorithm for classification of breast ultrasound images," 2022, Medical Imaging 2022: Computer-Aided Diagnosis
  • "Deep learning prediction of quantitative coronary angiography values using myocardial perfusion images with a CZT camera," 2022, Journal of Nuclear Cardiology

Frequent coauthors in their collaborative research include:

  • Kalle Åström
  • Ida Arvidsson
  • Niels Christian Overgaard
  • Athanasios Simoulis
  • Anders Bjartell

Best Publications

  • Proceedings European Conference on Computer Vision 2002

    Anders Heyden;Gunnar Sparr;Mads Nielsen;Peter Johansen

  • Computer Vision - Eccv 2002

    Anders Heyden;Gunnar Sparr;Mads Nielsen;Peter Johansen

  • Euclidean reconstruction from image sequences with varying and unknown focal length and principal point

    A. Heyden;K. Astrom

  • Three-dimensional biofilm model with individual cells and continuum EPS matrix.

    Erik Alpkvist;Christian Picioreanu;Mark C. M. van Loosdrecht;Anders Heyden

  • Euclidean reconstruction from constant intrinsic parameters

    A. Heyden;K. Astrom

  • An Iterative Factorization Method for Projective Structure and Motion from Image Sequences

    Anders Heyden;Rikard Berthilsson;Gunnar Sparr

  • Reconstruction from Image Sequences by Means of Relative Depths

    Anders Heyden

  • Microscope and method for manufacturing a composite image with a high resolution

    Anders Heyden;Johan Håkansson;Björn Wallin;Adam Karlsson

  • Minimal Conditions on Intrinsic Parameters for Euclidean Reconstruction

    Anders Heyden;Kalle Åström

  • Flexible calibration: minimal cases for auto-calibration

    A. Heyden;K. Astrom

  • A Common Framework for Multiple View Tensors

    Anders Heyden

  • Geometry and algebra of multiple projective transformations

    Anders Heyden

  • Projective Structure and Motion from Image Sequences using Subspace Methods

    Anders Heyden

  • Using conic correspondences in two images to estimate the epipolar geometry

    F. Kahl;A. Heyden

  • Algebraic properties of multilinear constraints

    Anders Heyden;Kalle Åström

  • Reconstruction from image sequences by means of relative depths

    A. Heyden

  • Towards grading gleason score using generically trained deep convolutional neural networks

    Hanna Kallen;Jesper Molin;Anders Heyden;Claes Lundstrom

  • A fast algorithm for level set-like active contours

    Björn Nilsson;Anders Heyden

  • Affine Structure and Motion from Points, Lines and Conics

    Fredrik Kahl;Anders Heyden

  • Multiple view geometry

    Anders Heyden;Marc Pollefeys

  • Covariance Propagation and Next Best View Planning for 3D Reconstruction

    Sebastian Haner;Anders Heyden

Frequent Co-Authors

Fredrik Kahl
Fredrik Kahl Chalmers University of Technology
Karl Johan Åström
Karl Johan Åström Lund University
Björn Nilsson
Björn Nilsson Lund University
Mads Nielsen
Mads Nielsen University of Copenhagen
Christoph Schnörr
Christoph Schnörr Heidelberg University
Michael Felsberg
Michael Felsberg Linköping University
Rolf Johansson
Rolf Johansson Lund University
Yi Ma
Yi Ma University of Hong Kong
René Vidal
René Vidal University of Pennsylvania
Anders Robertsson
Anders Robertsson Lund University

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