Johan Öfverstedt
Postdoctoral position at Department of Surgical Sciences; Radiology; Radiological Image Analysis
- E-mail:
- johan.ofverstedt@uu.se
- Visiting address:
- Dag Hammarskjölds v 14 B Floor 2
75237 Uppsala - Postal address:
- Dag Hammarskjölds v 14 B Floor 2
75237 Uppsala
Short presentation
I am a postdoctoral researcher in the PET/MR research group headed by Professor Joel Kullberg and Professor Håkan Ahlström where I am researching topics related to medical image registration and deep image regression.
My PhD research was in method development for efficient fusion of intensity and spatial information, distance/similarity measures between sets/images, image registration, and machine learning methods.
Keywords
- image analysis
- machine learning
- deep learning
- optimization
- robustness
- similarity measures
- image registration
- distance transforms
Research
Reviewed publications
2021
L Solorzano, L. Wik, T. O. Bontell, Y. Wang, A. H. Klemm, J. Öfverstedt, A. S. Jakola, A. Östman, C. Wählby: Machine learning for cell classification and neighborhood analysis in glioma tissue. Cytometry Part A, 2021.
2020
N. Pielawski, E. Wetzer, J. Öfverstedt, J. Lu, C. Wählby, J. Lindblad, and N. Sladoje. CoMIR: Contrastive Multimodal Image Representations for Registration. NeurIPS 2020.
J. Öfverstedt, J. Lindblad, and N. Sladoje. Stochastic Distance Transform: Theory, Algorithms, and Applications. Journal of Mathematical Imaging and Vision, 62(5), 751-769, 2020. (Online - Open Access/CC BY)
2019
J. Öfverstedt, J. Lindblad, and N. Sladoje. Stochastic Distance Transform. (Preprint - arXiv:1810.08097 [cs.CV]). In Proceedings of the 21th international conference on Discrete Geometry for Computer Imagery (DGCI), Lecture Notes in Computer Science, LNCS-11134, pp. 75--86, Paris, France, March 2019. (Online).
J. Öfverstedt, J. Lindblad, and N. Sladoje. Fast and Robust Symmetric Image Registration Based on Distances Combining Intensity and Spatial Information. IEEE Transactions on Image Processing, Vol. 27, No. 7, pp. 3584-3597, 2019. (Online - Open Access/CC BY) (Preprint - arXiv:1807.11599 [cs.CV]).
2017
J. Öfverstedt, N. Sladoje, and J. Lindblad. Distance Between Vector-valued Fuzzy Sets based on Intersection Decomposition with Applications in Object Detection. In Proc. of the 13th International Symposium on Mathematical Morphology, ISMM2017, Fontainebleau, France, Lecture Notes in Computer Science, LNCS-10225, pp. 395-407, Springer 2017.
Publications
Selection of publications
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INSPIRE: Intensity and Spatial Information-Based Deformable Image Registration
Part of PLOS ONE, 2023
- DOI for INSPIRE: Intensity and Spatial Information-Based Deformable Image Registration
- Download full text (pdf) of INSPIRE: Intensity and Spatial Information-Based Deformable Image Registration
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2022
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CoMIR: Contrastive Multimodal Image Representation for Registration
Part of NeurIPS - 34th Conference on Neural Information Processing Systems, 2020
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Stochastic Distance Transform: Theory, Algorithms and Applications
Part of Journal of Mathematical Imaging and Vision, p. 751-769, 2020
- DOI for Stochastic Distance Transform: Theory, Algorithms and Applications
- Download full text (pdf) of Stochastic Distance Transform: Theory, Algorithms and Applications
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Part of IEEE Transactions on Image Processing, p. 3584-3597, 2019
- DOI for Fast and Robust Symmetric Image Registration Based on Distances Combining Intensity and Spatial Information
- Download full text (pdf) of Fast and Robust Symmetric Image Registration Based on Distances Combining Intensity and Spatial Information
Recent publications
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Part of Scientific Reports, 2026
- DOI for A method for supervoxel-wise association studies of age and other non-imaging variables from coronary computed tomography angiograms
- Download full text (pdf) of A method for supervoxel-wise association studies of age and other non-imaging variables from coronary computed tomography angiograms
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Part of Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, p. 17-32, 2024
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Part of Medical Imaging With Deep Learning, MIDL 2024, p. 17-32, 2024
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Part of Medical Image Understanding and Analysis, p. 242-255, 2024
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INSPIRE: Intensity and Spatial Information-Based Deformable Image Registration
Part of PLOS ONE, 2023
- DOI for INSPIRE: Intensity and Spatial Information-Based Deformable Image Registration
- Download full text (pdf) of INSPIRE: Intensity and Spatial Information-Based Deformable Image Registration
All publications
Articles in journal
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Part of Scientific Reports, 2026
- DOI for A method for supervoxel-wise association studies of age and other non-imaging variables from coronary computed tomography angiograms
- Download full text (pdf) of A method for supervoxel-wise association studies of age and other non-imaging variables from coronary computed tomography angiograms
-
INSPIRE: Intensity and Spatial Information-Based Deformable Image Registration
Part of PLOS ONE, 2023
- DOI for INSPIRE: Intensity and Spatial Information-Based Deformable Image Registration
- Download full text (pdf) of INSPIRE: Intensity and Spatial Information-Based Deformable Image Registration
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Is image-to-image translation the panacea for multimodal image registration?: A comparative study
Part of PLOS ONE, 2022
- DOI for Is image-to-image translation the panacea for multimodal image registration?: A comparative study
- Download full text (pdf) of Is image-to-image translation the panacea for multimodal image registration?: A comparative study
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Part of Pattern Recognition Letters, p. 196-203, 2022
- DOI for Fast computation of mutual information in the frequency domain with applications to global multimodal image alignment
- Download full text (pdf) of Fast computation of mutual information in the frequency domain with applications to global multimodal image alignment
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Machine learning for cell classification and neighborhood analysis in glioma tissue
Part of Cytometry Part A, p. 1176-1186, 2021
- DOI for Machine learning for cell classification and neighborhood analysis in glioma tissue
- Download full text (pdf) of Machine learning for cell classification and neighborhood analysis in glioma tissue
-
Stochastic Distance Transform: Theory, Algorithms and Applications
Part of Journal of Mathematical Imaging and Vision, p. 751-769, 2020
- DOI for Stochastic Distance Transform: Theory, Algorithms and Applications
- Download full text (pdf) of Stochastic Distance Transform: Theory, Algorithms and Applications
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Part of IEEE Transactions on Image Processing, p. 3584-3597, 2019
- DOI for Fast and Robust Symmetric Image Registration Based on Distances Combining Intensity and Spatial Information
- Download full text (pdf) of Fast and Robust Symmetric Image Registration Based on Distances Combining Intensity and Spatial Information
Comprehensive doctoral thesis
Conference papers
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Part of Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, p. 17-32, 2024
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Part of Medical Imaging With Deep Learning, MIDL 2024, p. 17-32, 2024
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Part of Medical Image Understanding and Analysis, p. 242-255, 2024
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Contrastive Learning of Equivariant Image Representations for Multimodal Deformable Registration
Part of 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 2023
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2023
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2022
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Rotationally Equivariant Representation Learning for Multimodal Images
2022
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Efficient Algorithms for Global Multimodal Image Registration
2022
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Registration of Multimodal Microscopy Images using CoMIR – learned structural image representations
2021
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Contrastive Learning for Equivariant Multimodal Image Representations
2021
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2021
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Image-to-Image Translation in Multimodal Image Registration: How Well Does It Work?
2021
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Comir: Contrastive multimodal image representation for registration
2021
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CoMIR: Contrastive Multimodal Image Representation for Registration
Part of NeurIPS - 34th Conference on Neural Information Processing Systems, 2020
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Part of Discrete Geometry for Computer Imagery, p. 75-86, 2019
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Part of Mathematical Morphology and its Applications to Signal and Image Processing, p. 395-407, 2017