Fredrik Kahl

Full Professor, Research group leader, Electrical engineering

fredrik.kahl@chalmers.se +46 31 772 50 57 Find me http://orcid.org/0000-0001-9835-3020

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

Publications
Collaboration and projects
Miscellaneous

Latest publications

2019
A Deep Learning Approach to MR-less Spatial Normalization for Tau PET Images

Author: Jennifer Alvén; Kerstin Heurling; Ruben Smith; Olof Strandberg; Michael Schöll; Oskar Hansson; Fredrik Kahl

Published: 2019

Published in:

Publication type: Paper in proceedings
Combining Depth Fusion and Photometric Stereo for Fine-Detailed 3D Models

Author: Erik Bylow; Robert Maier; Fredrik Kahl; Carl Olsson

Published: 2019

Published in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Publication type: Paper in proceedings
A Cross-Season Correspondence Dataset for Robust Semantic Segmentation

Author: Måns Larsson; Erik Stenborg; Lars Hammarstrand; Marc Pollefeys; Torsten Sattler; Fredrik Kahl

Published: 2019

Published in: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Publication type: Paper in proceedings
2018
Performance of a feature-based algorithm for 3D-3D registration of CT angiography to cone-beam CT for endovascular repair of complex abdominal aortic aneurysms

Author: Giasemi Koutouzi; Behrooz Nasihatkton; Monika Danielak-Nowak; Henrik Leonhardt; Mårten Falkenberg; Fredrik Kahl

Published: 2018

Published in: BMC Medical Imaging

Publication type: Journal article
Revisiting Deep Structured Models for Pixel-Level Labeling with Gradient-Based Inference

Author: Måns Larsson; Anurag Arnab; Shuai Zheng; Philip Torr; Fredrik Kahl

Published: 2018

Published in: SIAM Journal on Imaging Sciences

Publication type: Journal article
Semantic Match Consistency for Long-Term Visual Localization

Author: Carl Toft; Erik Stenborg; Lars Hammarstrand; Lucas Brynte; Marc Pollefeys; Torsten Sattler; Fredrik Kahl

Published: 2018

Published in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Publication type: Paper in proceedings
Rotation Averaging and Strong Duality

Author: Anders Eriksson; Carl Olsson; Fredrik Kahl; Tat-Jun Chin

Published: 2018

Published in: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Publication type: Paper in proceedings
Benchmarking 6DOF Outdoor Visual Localization in Changing Conditions

Author: Torsten Sattler; Will Maddern; Carl Toft; Akihiko Torii; Lars Hammarstrand; Erik Stenborg; Daniel Safari; Masatoshi Okutomi; Marc Pollefeys; Josef Sivic; Fredrik Kahl; Tomas Pajdla

Published: 2018

Published in: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Publication type: Paper in proceedings
Shape-aware label fusion for multi-atlas frameworks

Author: Jennifer Alvén; Fredrik Kahl; Olof Enqvist

Published: 2018

Published in: Pattern Recognition Letters

Publication type: Journal article
Robust Abdominal Organ Segmentation Using Regional Convolutional Neural Networks

Author: Måns Larsson; Zhang Yuhang; Fredrik Kahl

Published: 2018

Published in: Applied Soft Computing Journal

Publication type: Journal article
A projected gradient descent method for crf inference allowing end-to-end training of arbitrary pairwise potentials

Author: Måns Larsson; Anurag Arnab; Fredrik Kahl; Shuai Zheng; Philip H.S. Torr

Published: 2018

Published in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Publication type: Paper in proceedings
Multiresolution Search of the Rigid Motion Space for Intensity-Based Registration

Author: Seyed Behrooz Nasihatkon; Fredrik Kahl

Published: 2018

Published in: IEEE Transactions on Pattern Analysis and Machine Intelligence

Publication type: Journal article
Conditional Random Fields Meet Deep Neural Networks for Semantic Segmentation: Combining Probabilistic Graphical Models with Deep Learning for Structured Prediction

Author: Anurag Arnab; Shuai Zheng; Sadeep Jayasumana; Bernardino Romera-Paredes; Måns Larsson; Alexander Kirillov; Bogdan Savchynskyy; Carsten Rother; Fredrik Kahl; Philip H.S. Torr

Published: 2018

Published in: IEEE Signal Processing Magazine

Publication type: Journal article
2017
Automated 3D segmentation of the prostate gland in CT images - a first step towards objective measurements of prostate uptake in PET and SPECT images

Author: May Sadik; Eirini Polymeri; Reza Kaboteh; Olof Enqvist; Frida Fejne; Fredrik Kahl; Elin Trägårdh; Mads Poulsen; Jane Angel Simonsen; Poul Flemming Høilund-Carlsen; Åse Johnsson; Lars Edenbrandt

Published: 2017

Published in: Journal of Nuclear Medicine

Publication type: Paper in proceedings
3D prostate gland uptake of 18F-choline - association with overall survival in patients with hormone-naïve prostate cancer

Author: May Sadik; Eirini Polymeri; Reza Kaboteh; Olof Enqvist; Frida Fejne; Fredrik Kahl; Mattias Ohlsson; Elin Trägårdh; Jane Angel Simonsen; Mads Poulsen; Poul Flemming Høilund-Carlsen; Lars Edenbrandt

Published: 2017

Published in: Journal of Nuclear Medicine

Publication type: Paper in proceedings
Long-term 3D Localization and Pose from Semantic Labellings

Author: Carl Toft; Carl Olsson; Fredrik Kahl

Published: 2017

Published in:

Publication type: Paper in proceedings
3D skeletal uptake of F-18 sodium fluoride in PET/CT images is associated with overall survival in patients with prostate cancer

Author: S. L. Belal; M. Sadik; R. Kaboteh; N. Hasani; Olof Enqvist; L. Svarm; Fredrik Kahl; J. Simonsen; M. H. Poulsen; M. Ohlsson; P. F. Hoilund-Carlsen; L. Edenbrandt; E. Tragardh

Published: 2017

Published in: EJNMMI Research

Publication type: Journal article
Robust abdominal organ segmentation using regional convolutional neural networks

Author: Måns Larsson; Zhang Yuhang; Fredrik Kahl

Published: 2017

Published in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Publication type: Paper in proceedings
Max-margin learning of deep structured models for semantic segmentation

Author: Måns Larsson; Jennifer Alvén; Fredrik Kahl

Published: 2017

Published in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Publication type: Paper in proceedings
Multiatlas Segmentation Using Robust Feature-Based Registration

Author: Frida Fejne; Matilda Landgren; Jennifer Alvén; Johannes Ulén; Johan Fredriksson; Viktor Larsson; Olof Enqvist; Fredrik Kahl

Published: 2017

Published in:

Publication type: Book chapter
Robust online 3D reconstruction combining a depth sensor and sparse feature points

Author: E. Bylow; Claes Olsson; Fredrik Kahl

Published: 2017

Published in:

Publication type: Paper in proceedings
Shape-aware multi-atlas segmentation

Author: Jennifer Alvén; Fredrik Kahl; Johan Fredriksson; Viktor Larsson; Jennifer Alvén

Published: 2017

Published in:

Publication type: Paper in proceedings
2016
Minimizing the maximal rank

Author: Erik Bylow; Carl Olsson; Fredrik Kahl; Mikael Nilsson

Published: 2016

Published in:

Publication type: Paper in proceedings
Automatic pericardium segmentation and quantification of epicardial fat from computed tomography angiography

Author: Alexander Norlén; Jennifer Alvén; David Molnar; Olof Enqvist; Rauni Rossi-Norrlund; John Brandberg; Göran Bergström; Fredrik Kahl

Published: 2016

Published in:

Publication type: Journal article
Überatlas: Fast and robust registration for multi-atlas segmentation

Author: Jennifer Alvén; Alexander Norlén; Olof Enqvist; Fredrik Kahl

Published: 2016

Published in: Pattern Recognition Letters

Publication type: Journal article

Go to Chalmers publication library

For a complete list of publications, see here.

For a complete list of publications, see my personal home page.

PhD student position in Geometric Deep Learning, see here. Deadline: October 21, 2018.

Published: Mon 24 Sep 2018.

Fredrik Kahl

Latest publications

2019

2018

2017

2016

Projects

Closed