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Måns Larsson
Måns Larsson
Eigenvision AB
Verified email at chalmers.se - Homepage
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Cited by
Year
Conditional random fields meet deep neural networks for semantic segmentation: Combining probabilistic graphical models with deep learning for structured prediction
A Arnab, S Zheng, S Jayasumana, B Romera-Paredes, M Larsson, ...
IEEE Signal Processing Magazine 35 (1), 37-52, 2018
1292018
Back to the Feature: Learning Robust Camera Localization from Pixels to Pose
PE Sarlin, A Unagar, M Larsson, H Germain, C Toft, V Larsson, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
792021
Robust abdominal organ segmentation using regional convolutional neural networks
M Larsson, Y Zhang, F Kahl
Applied Soft Computing 70, 465-471, 2018
632018
Robust abdominal organ segmentation using regional convolutional neural networks
M Larsson, Y Zhang, F Kahl
Applied Soft Computing 70, 465-471, 2018
632018
A cross-season correspondence dataset for robust semantic segmentation
M Larsson, E Stenborg, L Hammarstrand, M Pollefeys, T Sattler, F Kahl
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
602019
Fine-grained segmentation networks: Self-supervised segmentation for improved long-term visual localization
M Larsson, E Stenborg, C Toft, L Hammarstrand, T Sattler, F Kahl
Proceedings of the IEEE/CVF International Conference on Computer Vision, 31-41, 2019
512019
A projected gradient descent method for CRF inference allowing end-to-end training of arbitrary pairwise potentials
M Larsson, A Arnab, F Kahl, S Zheng, P Torr
International Workshop on Energy Minimization Methods in Computer Vision and …, 2017
31*2017
Artificial intelligence‐based detection of lymph node metastases by PET/CT predicts prostate cancer‐specific survival
P Borrelli, M Larsson, J Ulén, O Enqvist, E Trägårdh, MH Poulsen, ...
Clinical Physiology and Functional Imaging 41 (1), 62-67, 2021
182021
Deepseg: Abdominal organ segmentation using deep convolutional neural networks
M Larsson, Y Zhang, F Kahl
Swedish Symposium on Image Analysis 2016, 2016
152016
Aortic wall segmentation in 18 F-sodium fluoride PET/CT scans: Head-to-head comparison of artificial intelligence-based versus manual segmentation
R Piri, L Edenbrandt, M Larsson, O Enqvist, AH Nøddeskou-Fink, O Gerke, ...
Journal of Nuclear Cardiology, 1-10, 2021
72021
“Global” cardiac atherosclerotic burden assessed by artificial intelligence-based versus manual segmentation in 18F-sodium fluoride PET/CT scans: Head-to-head comparison
R Piri, L Edenbrandt, M Larsson, O Enqvist, S Skovrup, KK Iversen, ...
Journal of Nuclear Cardiology, 1-9, 2021
62021
Revisiting Deep Structured Models for Pixel-Level Labeling with Gradient-Based Inference
M Larsson, A Arnab, S Zheng, P Torr, F Kahl
SIAM Journal on Imaging Sciences 11 (4), 2610-2628, 2018
52018
Max-margin learning of deep structured models for semantic segmentation
M Larsson, J Alvén, F Kahl
Scandinavian Conference on Image Analysis, 28-40, 2017
42017
Artificial intelligence based automatic quantification of epicardial adipose tissue suitable for large scale population studies
D Molnar, O Enqvist, J Ulén, M Larsson, J Brandberg, ÅA Johnsson, ...
Scientific Reports 11 (1), 1-13, 2021
32021
Analysis of mammograms using artificial intelligence to predict response to neoadjuvant chemotherapy in breast cancer patients: proof of concept
I Skarping, M Larsson, D Förnvik
European Radiology, 1-11, 2021
22021
PET/CT imaging of spinal inflammation and microcalcification in patients with low back pain: a pilot study on the quantification by artificial intelligence‐based segmentation
R Piri, AH Nøddeskou‐Fink, O Gerke, M Larsson, L Edenbrandt, O Enqvist, ...
Clinical Physiology and Functional Imaging, 2022
12022
End-to-End Learning of Deep Structured Models for Semantic Segmentation (Licentiate thesis)
M Larsson
https://research.chalmers.se/en/publication/500735, 2018
1*2018
Automated construction of statistical deformation models for non-rigid registrations of the pericardium and hippocampus
M LARSSON
Master’s thesis, Chalmers University of Technology, 2015
12015
Estimering av snödjup genom analys av flervägsreflekterade GPS-signaler
M Larsson, J Nordevall, R Sirefelt, E Staf
Chalmers University of Technology, 2012
12012
Fast, automated artificial intelligence-based aorta segmentation in 18F-sodium fluoride PET/CT scans: head-to-head comparison with manual segmentation
R Piri, L Edenbrandt, M Larsson, O Enqvist, O Gerke, PF Hoilund-Carlsen
Journal of Nuclear Medicine 62 (supplement 1), 1232-1232, 2021
2021
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