Johan Öfverstedt

INSPIRE: Intensity and Spatial Information-Based Deformable Image Registration

Öfverstedt, Johan; Lindblad, Joakim; Sladoje, Nataša

Ingår i PLOS ONE, 2023

• DOI för INSPIRE: Intensity and Spatial Information-Based Deformable Image Registration
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Cross-Sim-NGF: FFT-Based Global Rigid Multimodal Alignment of Image Volumes using Normalized Gradient Fields

Öfverstedt, Johan; Lindblad, Joakim; Sladoje, Natasa

2022

• DOI för Cross-Sim-NGF: FFT-Based Global Rigid Multimodal Alignment of Image Volumes using Normalized Gradient Fields

CoMIR: Contrastive Multimodal Image Representation for Registration

Pielawski, Nicolas; Wetzer, Elisabeth; Öfverstedt, Johan; Lu, Jiahao et al.

Ingår i NeurIPS - 34th Conference on Neural Information Processing Systems, 2020

Stochastic Distance Transform: Theory, Algorithms and Applications

Öfverstedt, Johan; Lindblad, Joakim; Sladoje, Natasa

Ingår i Journal of Mathematical Imaging and Vision, s. 751-769, 2020

• DOI för Stochastic Distance Transform: Theory, Algorithms and Applications
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Fast and Robust Symmetric Image Registration Based on Distances Combining Intensity and Spatial Information

Öfverstedt, Johan; Lindblad, Joakim; Sladoje, Natasa

Ingår i IEEE Transactions on Image Processing, s. 3584-3597, 2019

• DOI för Fast and Robust Symmetric Image Registration Based on Distances Combining Intensity and Spatial Information
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A method for supervoxel-wise association studies of age and other non-imaging variables from coronary computed tomography angiograms

Öfverstedt, Johan; Lundström, Elin; Bergström, Göran; Kullberg, Joel et al.

Ingår i Scientific Reports, 2026

• DOI för A method for supervoxel-wise association studies of age and other non-imaging variables from coronary computed tomography angiograms
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A method for tissue-mask supported whole-body image registration in the UK Biobank

Utkueri, Yasemin; Lundström, Elin; Ahlström, Håkan; Öfverstedt, Johan et al.

Ingår i Scientific Reports, 2026

• DOI för A method for tissue-mask supported whole-body image registration in the UK Biobank
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Time-Driven Survival Analysis from FDG-PET/CT in Non-Small Cell Lung Cancer

Tarai, Sambit; Chauhan, Ashish; Lundström, Elin; Öfverstedt, Johan et al.

Ingår i Annals of Biomedical Engineering, 2026

• DOI för Time-Driven Survival Analysis from FDG-PET/CT in Non-Small Cell Lung Cancer
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Interpretable Uncertainty-Aware Deep Regression with Cohort Saliency Analysis for Three-Slice CT Imaging Studies

Ahmad, Nouman; Öfverstedt, Johan; Tarai, Sambit; Bergström, Göran et al.

Ingår i Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, s. 17-32, 2024

• Ladda ner fulltext (pdf) av Interpretable Uncertainty-Aware Deep Regression with Cohort Saliency Analysis for Three-Slice CT Imaging Studies

Interpretable Uncertainty-Aware Deep Regression with Cohort Saliency Analysis for Three-Slice CT Imaging Studies

Ahmad, Nouman; Öfverstedt, Johan; Tarai, Sambit; Bergström, Göran et al.

Ingår i Medical Imaging With Deep Learning, MIDL 2024, s. 17-32, 2024

• Ladda ner fulltext (pdf) av Interpretable Uncertainty-Aware Deep Regression with Cohort Saliency Analysis for Three-Slice CT Imaging Studies

A method for supervoxel-wise association studies of age and other non-imaging variables from coronary computed tomography angiograms

Öfverstedt, Johan; Lundström, Elin; Bergström, Göran; Kullberg, Joel et al.

Ingår i Scientific Reports, 2026

• DOI för A method for supervoxel-wise association studies of age and other non-imaging variables from coronary computed tomography angiograms
• Ladda ner fulltext (pdf) av A method for supervoxel-wise association studies of age and other non-imaging variables from coronary computed tomography angiograms

A method for tissue-mask supported whole-body image registration in the UK Biobank

Utkueri, Yasemin; Lundström, Elin; Ahlström, Håkan; Öfverstedt, Johan et al.

Ingår i Scientific Reports, 2026

• DOI för A method for tissue-mask supported whole-body image registration in the UK Biobank
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Time-Driven Survival Analysis from FDG-PET/CT in Non-Small Cell Lung Cancer

Tarai, Sambit; Chauhan, Ashish; Lundström, Elin; Öfverstedt, Johan et al.

Ingår i Annals of Biomedical Engineering, 2026

• DOI för Time-Driven Survival Analysis from FDG-PET/CT in Non-Small Cell Lung Cancer
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INSPIRE: Intensity and Spatial Information-Based Deformable Image Registration

Öfverstedt, Johan; Lindblad, Joakim; Sladoje, Nataša

Ingår i PLOS ONE, 2023

• DOI för INSPIRE: Intensity and Spatial Information-Based Deformable Image Registration
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Fast computation of mutual information in the frequency domain with applications to global multimodal image alignment

Öfverstedt, Johan; Lindblad, Joakim; Sladoje, Natasa

Ingår i Pattern Recognition Letters, s. 196-203, 2022

• DOI för Fast computation of mutual information in the frequency domain with applications to global multimodal image alignment
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Is image-to-image translation the panacea for multimodal image registration?: A comparative study

Lu, Jiahao; Öfverstedt, Johan; Lindblad, Joakim; Sladoje, Nataša

Ingår i PLOS ONE, 2022

• DOI för Is image-to-image translation the panacea for multimodal image registration?: A comparative study
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Machine learning for cell classification and neighborhood analysis in glioma tissue

Solorzano, Leslie; Wik, Lina; Bontell, Thomas Olsson; Wang, Yuyu et al.

Ingår i Cytometry Part A, s. 1176-1186, 2021

• DOI för Machine learning for cell classification and neighborhood analysis in glioma tissue
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Stochastic Distance Transform: Theory, Algorithms and Applications

Öfverstedt, Johan; Lindblad, Joakim; Sladoje, Natasa

Ingår i Journal of Mathematical Imaging and Vision, s. 751-769, 2020

• DOI för Stochastic Distance Transform: Theory, Algorithms and Applications
• Ladda ner fulltext (pdf) av Stochastic Distance Transform: Theory, Algorithms and Applications

Fast and Robust Symmetric Image Registration Based on Distances Combining Intensity and Spatial Information

Öfverstedt, Johan; Lindblad, Joakim; Sladoje, Natasa

Ingår i IEEE Transactions on Image Processing, s. 3584-3597, 2019

• DOI för Fast and Robust Symmetric Image Registration Based on Distances Combining Intensity and Spatial Information
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Methods for Reliable Image Registration: Algorithms, Distance Measures, and Representations

Öfverstedt, Johan

2022

• Ladda ner fulltext (pdf) av Methods for Reliable Image Registration: Algorithms, Distance Measures, and Representations

Interpretable Uncertainty-Aware Deep Regression with Cohort Saliency Analysis for Three-Slice CT Imaging Studies

Ahmad, Nouman; Öfverstedt, Johan; Tarai, Sambit; Bergström, Göran et al.

Ingår i Proceedings of The 7nd International Conference on Medical Imaging with Deep Learning, s. 17-32, 2024

• Ladda ner fulltext (pdf) av Interpretable Uncertainty-Aware Deep Regression with Cohort Saliency Analysis for Three-Slice CT Imaging Studies

Interpretable Uncertainty-Aware Deep Regression with Cohort Saliency Analysis for Three-Slice CT Imaging Studies

Ahmad, Nouman; Öfverstedt, Johan; Tarai, Sambit; Bergström, Göran et al.

Ingår i Medical Imaging With Deep Learning, MIDL 2024, s. 17-32, 2024

• Ladda ner fulltext (pdf) av Interpretable Uncertainty-Aware Deep Regression with Cohort Saliency Analysis for Three-Slice CT Imaging Studies

Prediction of Total Metabolic Tumor Volume from Tissue-Wise FDG-PET/CT Projections, Interpreted Using Cohort Saliency Analysis

Tarai, Sambit; Lundström, Elin; Öfverstedt, Johan; Jönsson, Hanna et al.

Ingår i Medical Image Understanding and Analysis, s. 242-255, 2024

• DOI för Prediction of Total Metabolic Tumor Volume from Tissue-Wise FDG-PET/CT Projections, Interpreted Using Cohort Saliency Analysis

Contrastive Learning of Equivariant Image Representations for Multimodal Deformable Registration

Nordling, Love; Öfverstedt, Johan; Lindblad, Joakim; Sladoje, Nataša

Ingår i 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 2023

• DOI för Contrastive Learning of Equivariant Image Representations for Multimodal Deformable Registration

Multimodal deformable image registration using contrastive learning of equivariant image representations

Nordling, Love; Öfverstedt, Johan; Lindblad, Joakim; Sladoje, Nataša

2023

Efficient Algorithms for Global Multimodal Image Registration

Öfverstedt, Johan; Lindblad, Joakim; Sladoje, Natasa

2022

Rotationally Equivariant Representation Learning for Multimodal Images

Wetzer, Elisabeth; Pielawski, Nicolas; Öfverstedt, Johan; Lu, Jiahao et al.

2022

Cross-Sim-NGF: FFT-Based Global Rigid Multimodal Alignment of Image Volumes using Normalized Gradient Fields

Öfverstedt, Johan; Lindblad, Joakim; Sladoje, Natasa

2022

• DOI för Cross-Sim-NGF: FFT-Based Global Rigid Multimodal Alignment of Image Volumes using Normalized Gradient Fields

Registration of Multimodal Microscopy Images using CoMIR – learned structural image representations

Wetzer, Elisabeth; Pielawski, Nicolas; Öfverstedt, Johan; Lu, Jiahao et al.

2021

Image-to-Image Translation in Multimodal Image Registration: How Well Does It Work?

Lu, Jiahao; Öfverstedt, Johan; Lindblad, Joakim; Sladoje, Natasa

2021

Contrastive Learning for Equivariant Multimodal Image Representations

Wetzer, Elisabeth; Pielawski, Nicolas; Breznik, Eva; Öfverstedt, Johan et al.

2021

Fast Computation of Mutual Information with Application to Global Multimodal Image Alignment of Micrographs

Öfverstedt, Johan; Lindblad, Joakim; Sladoje, Natasa

2021

Comir: Contrastive multimodal image representation for registration

Wetzer, Elisabeth; Pielawski, Nicolas; Öfverstedt, Johan; Lu, Jiahao et al.

2021

CoMIR: Contrastive Multimodal Image Representation for Registration

Pielawski, Nicolas; Wetzer, Elisabeth; Öfverstedt, Johan; Lu, Jiahao et al.

Ingår i NeurIPS - 34th Conference on Neural Information Processing Systems, 2020

Stochastic Distance Transform

Öfverstedt, Johan; Lindblad, Joakim; Sladoje, Natasa

Ingår i Discrete Geometry for Computer Imagery, s. 75-86, 2019

• DOI för Stochastic Distance Transform

Distance between vector-valued fuzzy sets based on intersection decomposition with applications in object detection

Öfverstedt, Johan; Sladoje, Natasa; Lindblad, Joakim

Ingår i Mathematical Morphology and its Applications to Signal and Image Processing, s. 395-407, 2017

• DOI för Distance between vector-valued fuzzy sets based on intersection decomposition with applications in object detection

Is Image-to-Image Translation the Panacea for Multimodal Image Registration? A Comparative Study

Lu, Jiahao; Öfverstedt, Johan; Lindblad, Joakim; Sladoje, Natasa

2021

Cross-Sim-NGF: FFT-Based Global Rigid Multimodal Alignment of Image Volumes using Normalized Gradient Fields

Öfverstedt, Johan; Lindblad, Joakim; Sladoje, Natasa

2021

Global Parameter Optimization for Multimodal Biomedical Image Registration

Pielawski, Nicolas; Öfverstedt, Johan; Wetzer, Elisabeth

Survival prediction in locally advanced non-small cell lung cancer using supervoxel-based longitudinal analysis of whole-body [¹⁸F]FDG PET/CT

Jönsson, Hanna; Holmstrand, Hanna; Öfverstedt, Johan; Hansen, Tomas et al.