Fredrik Kahl

Professor at Department of Signals and Systems, Imaging and Image Analysis

Fredrik Kahl is a Professor and leader of the Image Analysis and Computer Vision Group.

Source: chalmers.se

Projects

2017–2020

Integrering av geometri och semantik i datorseende

Fredrik Kahl Department of Signals and Systems, Imaging and Image Analysis
Swedish Research Council (VR)

2013–2016

Robusta och tillförlitliga metoder för modellanpassning i datorseende

Fredrik Kahl Department of Signals and Systems, Imaging and Image Analysis
Swedish Research Council (VR)

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Publications

2016

Automated segmentation of the skeleton in PET/CT scans

May Sadik, Reza Kaboteh, N. Hasani et al
European Journal of Nuclear Medicine and Molecular Imaging. Vol. 43, p. S392-S392
Conference paper - non peer reviewed
2016

City-scale localization for cameras with known vertical direction

Linus Svärm, Olof Enqvist, Fredrik Kahl et al
IEEE Transactions on Pattern Analysis and Machine Intelligence
Scientific journal article - peer reviewed
2016

Deepseg: Abdominal Organ Segmentation Using Deep Convolutional Neural Networks

Måns Larsson, Yuhang Zhang, Fredrik Kahl et al
SSBA
Conference paper - non peer reviewed
2016

Cloud-Based Evaluation of Anatomical Structure Segmentation and Landmark Detection Algorithms: VISCERAL Anatomy Benchmarks

Oscar Jimenez-Del-Toro, Henning Muller, Markus Krenn et al
IEEE Transactions on Medical Imaging. Vol. 35 (11), p. 2459-2475
Scientific journal article - peer reviewed
2016

Globally optimal rigid intensity based registration: A fast fourier domain approach

Seyed Behrooz Nasihatkton, Frida Fejne, Fredrik Kahl et al
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Vol. 2016-January, p. 5936-5944
Conference paper - peer reviewed
2016

Minimizing the maximal rank

Erik Bylow, Carl Olsson, Fredrik Kahl et al
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Vol. 2016-January, p. 5887-5895
Conference paper - peer reviewed
2016

Optimal relative pose with unknown correspondences

Johan Fredriksson, Viktor Larsson, Carl Olsson et al
2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016, Las Vegas, United States, 26 - 1 July 2016. Vol. 2016-January, p. 1728-1736
Conference paper - peer reviewed
2016

Automatic pericardium segmentation and quantification of epicardial fat from computed tomography angiography

Alexander Norlén, Jennifer Alvén, David Molnar et al
Journal of Medical Imaging. Vol. 3 (3), p. Article number 034003
Scientific journal article - peer reviewed
2016

Optimal Gradient Encoding Schemes for Diffusion Tensor and Kurtosis Imaging

Mohammad Alipoor, Irene Y.H. Gu, Stephan E Maier et al
IEEE transactions on Computational Imaging. Vol. 2 (3), p. 375 - 391
Scientific journal article - peer reviewed
2016

Efficient algorithms for robust estimation of relative translation

Johan Fredriksson, Viktor Larsson, Carl Olsson et al
Image and Vision Computing. Vol. 52, p. 114
Scientific journal article - peer reviewed
2016

Überatlas: Fast and robust registration for multi-atlas segmentation

Jennifer Alvén, Alexander Norlén, Olof Enqvist et al
Pattern Recognition Letters. Vol. 80, p. 249-255
Scientific journal article - peer reviewed
2016

A Simple Method for Subspace Estimation with Corrupted Columns

V. Larsson, C. Olsson, Fredrik Kahl et al
15th IEEE International Conference on Computer Vision Workshops, ICCVW 2015; Santiago; Chile; 11 December 2015 through 18 December 2015. Vol. 2016-February, p. 841-849
Conference paper - peer reviewed
2016

Image Fusion of Reconstructed Digital Tomosynthesis Volumes From a Frontal and a Lateral Acquisition

Jonathan Arvidsson, Christina Söderman, Åse (Allansdotter) Johnsson et al
Radiation protection dosimetry. Vol. 169 (1-4), p. 410-415
Scientific journal article - peer reviewed
2015

Optimal Experiment Design for Mono-Exponential Model Fitting: Application to Apparent Diffusion Coefficient Imaging

Mohammad Alipoor, Stephan E Maier, Irene Y.H. Gu et al
BioMed Research International. Vol. 2015, p. Article nr 138060
Scientific journal article - peer reviewed
2015

Shortest Paths with Higher-Order Regularization

Johannes Ulén, Petter Strandmark, Fredrik Kahl et al
IEEE Transactions on Pattern Analysis and Machine Intelligence
Scientific journal article - peer reviewed
2015

Überatlas: Robust Speed-Up of Feature-Based Registration and Multi-Atlas Segmentation

Jennifer Alvén, Alexander Norlén, Olof Enqvist et al
Scandinavian Conference on Image Analysis Proceedings (Lecture Notes in Computer Science) . Vol. 9127, p. 92-102
Conference paper - peer reviewed
2015

Good Features for Reliable Registration in Multi-Atlas Segmentation

Fredrik Kahl, Jennifer Alvén, Olof Enqvist et al
Proceedings of the VISCERAL Anatomy3 Segmentation Challenge co-located with IEEE International Symposium on Biomedical Imaging (ISBI 2015). Vol. 1390 (January), p. 12-17
Conference paper - peer reviewed
2015

Improving Robustness for Inter-Subject Medical Image Registration Using a Feature-Based Approach

Linus Svärm, Olof Enqvist, Fredrik Kahl et al
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, ISBI 2015, Brooklyn, United States, 16-19 April 2015, p. 824-828
Conference paper - peer reviewed
2015

A Combinatorial Approach to L1-Matrix Factorization

Fangyuan Jiang, Olof Enqvist, Fredrik Kahl et al
Journal of Mathematical Imaging and Vision. Vol. 51 (3), p. 430-441
Scientific journal article - peer reviewed
2015

Tractable Algorithms for Robust Model Estimation

Olof Enqvist, Erik Ask, Fredrik Kahl et al
International Journal of Computer Vision. Vol. 112 (1), p. 115-129
Scientific journal article - peer reviewed
2014

Accurate Localization and Pose Estimation for Large 3D Models

Linus Svärm, Olof Enqvist, Magnus Oskarsson et al
27th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2014, Columbus, United States, 23-28 June 2014, p. 532-539
Conference paper - peer reviewed
2014

Fast and Reliable Two-View Translation Estimation

Johan Fredriksson, Olof Enqvist, Fredrik Kahl et al
27th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2014, Columbus, United States, 23-28 June 2014, p. 1606-1612
Conference paper - peer reviewed
2014

Robust Camera Tracking by Combining Color and Depth Measurements

Erik Bylow, Carl Olsson, Fredrik Kahl et al
International Conference on Pattern Recognition
Conference paper - peer reviewed
2014

Rank Minimization with Structured Data Patterns

Viktor Larsson, Carl Olsson, Erik Bylow et al
Lecture Notes in Computer Science: 13th European Conference on Computer Vision, ECCV 2014, Zurich, Switzerland, 6-12 September 2014. Vol. 8691, p. 250-265
Conference paper - peer reviewed
2014

Tractable and Reliable Registration of 2D Point Sets

Erik Ask, Olof Enqvist, Linus Svärm et al
Lecture Notes in Computer Science: 13th European Conference on Computer Vision, ECCV 2014, Zurich, Switzerland, 6-12 September 2014. Vol. 8689, p. 393-406
Conference paper - peer reviewed
2014

Minimal solvers for relative pose with a single unknown radial distortion

Y. Kuang, J.E. Solem, Fredrik Kahl et al
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, p. 33-40
Conference paper - peer reviewed
2013

Shortest Paths with Curvature and Torsion

Petter Strandmark, Johannes Ulén, Fredrik Kahl et al
International Conference on Computer Vision, p. 2024-2031
Conference paper - peer reviewed