Distance Between Vector-Valued Fuzzy Sets Based on Intersection Decomposition with Applications in Object Detection. - Johan Öfverstedt; Natasa Sladoje; Joakim Lindblad (ISMM, 2017)

Fast and Robust Symmetric Image Registration Based on Intensity and Spatial Information. - Johan Öfverstedt; Joakim Lindblad; Natasa Sladoje (CoRR, 2018)

Stochastic Distance Transform. - Johan Öfverstedt; Joakim Lindblad; Natasa Sladoje (DGCI, 2019)

Fast and Robust Symmetric Image Registration Based on Distances Combining Intensity and Spatial Information. - Johan Öfverstedt; Joakim Lindblad; Natasa Sladoje (IEEE Trans. Image Process., 2019)

CoMIR: Contrastive Multimodal Image Representation for Registration. - Nicolas Pielawski; Elisabeth Wetzer; Johan Öfverstedt; Jiahao Lu; Carolina Wählby; Joakim Lindblad; Natasa Sladoje (NeurIPS, 2020)

INSPIRE: Intensity and Spatial Information-Based Deformable Image Registration. - Johan Öfverstedt; Joakim Lindblad; Natasa Sladoje (CoRR, 2020)

Stochastic Distance Transform: Theory, Algorithms and Applications. - Johan Öfverstedt; Joakim Lindblad; Natasa Sladoje (J. Math. Imaging Vis., 2020)

Is Image-to-Image Translation the Panacea for Multimodal Image Registration? A Comparative Study. - Jiahao Lu; Johan Öfverstedt; Joakim Lindblad; Natasa Sladoje (CoRR, 2021)

Cross-Sim-NGF: FFT-Based Global Rigid Multimodal Alignment of Image Volumes Using Normalized Gradient Fields. - Johan Öfverstedt; Joakim Lindblad; Natasa Sladoje (WBIR, 2022)

Fast computation of mutual information in the frequency domain with applications to global multimodal image alignment. - Johan Öfverstedt; Joakim Lindblad; Natasa Sladoje (Pattern Recognit. Lett., 2022)

Methods for Reliable Image Registration: Algorithms, Distance Measures, and Representations. - Johan Öfverstedt (2022)

Contrastive Learning of Equivariant Image Representations for Multimodal Deformable Registration. - Love Nordling; Johan Öfverstedt; Joakim Lindblad; Natasa Sladoje (ISBI, 2023)

Interpretable Uncertainty-Aware Deep Regression with Cohort Saliency Analysis for Three-Slice CT Imaging Studies. - Nouman Ahmad; Johan Öfverstedt; Sambit Tarai; Göran Bergström; Håkan Ahlström; Joel Kullberg (MIDL, 2024)

Prediction of Total Metabolic Tumor Volume from Tissue-Wise FDG-PET/CT Projections, Interpreted Using Cohort Saliency Analysis. - Sambit Tarai; Elin Lundström; Johan Öfverstedt; Hanna Jönsson; Nouman Ahmad; Håkan Ahlström; Joel Kullberg (MIUA (2), 2024)

A method for supervoxel-wise association studies of age and other non-imaging variables from coronary computed tomography angiograms. - Johan Öfverstedt; Elin Lundström; Göran Bergström; Joel Kullberg; Håkan Ahlström (CoRR, 2024)

Towards prediction of morphological heart age from computed tomography angiography. - Johan Öfverstedt; Elin Lundström; Håkan Ahlström; Joel Kullberg (CoRR, 2025)