Anders Heyden
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- 2019
-
Mark
Parametric Model-Based 3D Human Shape and Pose Estimation from Multiple Views
(2019) 21st Scandinavian Conference on Image Analysis, SCIA 2019 In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 11482 LNCS. p.336-347
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Efficient Merging of Maps and Detection of Changes
(2019) 21st Scandinavian Conference on Image Analysis, SCIA 2019 In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 11482 LNCS. p.348-360
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Automatic detection of small areas of Gleason grade 5 in prostate tissue using CNN
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2018
-
Mark
Relative pose estimation in binocular vision for a planar scene using inter-image homographies
(2018) 7th International Conference on Pattern Recognition Applications and Methods, ICPRAM 2018 2018-January. p.568-575
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Generalization of prostate cancer classification for multiple sites using deep learning
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Estimating Uncertainty in Time-difference and Doppler Estimates
(2018) 7th International Conference on Pattern Recognition Applications and Methods, ICPRAM 2018 p.245-253
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2017
-
Mark
Visual Odometry from Two Point Correspondences and Initial Automatic Tilt Calibration
(2017) 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) 6. p.340-346
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Automatic Gleason grading of H&E stained microscopic prostate images using deep convolutional neural networks
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Semantic segmentation of microscopic images of H&E stained prostatic tissue using CNN
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2016
-
Mark
Efficient simulations of tubulin-driven axonal growth
- Contribution to journal › Article
