| CoMIR: Contrastive multimodal image representation for registration N Pielawski, E Wetzer, J Öfverstedt, J Lu, C Wählby, J Lindblad, N Sladoje Advances in neural information processing systems 33, 18433-18444, 2020 | 102 | 2020 |
| Fast and Robust Symmetric Image Registration Based on Distances Combining Intensity and Spatial Information J Öfverstedt, J Lindblad, N Sladoje IEEE Transactions on Image Processing 28 (7), 3584-3597, 2019 | 58 | 2019 |
| Is image-to-image translation the panacea for multimodal image registration? A comparative study J Lu, J Öfverstedt, J Lindblad, N Sladoje Plos one 17 (11), e0276196, 2022 | 37 | 2022 |
| Fast computation of mutual information in the frequency domain with applications to global multimodal image alignment J Öfverstedt, J Lindblad, N Sladoje Pattern Recognition Letters 159, 196-203, 2022 | 21 | 2022 |
| Machine learning for cell classification and neighborhood analysis in glioma tissue L Solorzano, L Wik, T Olsson Bontell, Y Wang, AH Klemm, J Öfverstedt, ... Cytometry Part A, 2021 | 10 | 2021 |
| Stochastic Distance Transform: Theory, Algorithms and Applications J Öfverstedt, J Lindblad, N Sladoje Journal of Mathematical Imaging and Vision 62 (5), 751-769, 2020 | 10 | 2020 |
| INSPIRE: Intensity and spatial information-based deformable image registration J Öfverstedt, J Lindblad, N Sladoje Plos one 18 (3), e0282432, 2023 | 6 | 2023 |
| Contrastive learning of equivariant image representations for multimodal deformable registration L Nordling, J Öfverstedt, J Lindblad, N Sladoje 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-5, 2023 | 4 | 2023 |
| Methods for reliable image registration: algorithms, distance measures, and representations J Öfverstedt Acta Universitatis Upsaliensis, 2022 | 4 | 2022 |
| Distance between vector-valued fuzzy sets based on intersection decomposition with applications in object detection J Öfverstedt, N Sladoje, J Lindblad International Symposium on Mathematical Morphology and Its Applications to …, 2017 | 4 | 2017 |
| Prediction of total metabolic tumor volume from tissue-wise FDG-PET/CT projections, interpreted using cohort saliency analysis S Tarai, E Lundström, J Öfverstedt, H Jönsson, N Ahmad, H Ahlström, ... Annual Conference on Medical Image Understanding and Analysis, 242-255, 2024 | 3 | 2024 |
| Stochastic distance transform J Öfverstedt, J Lindblad, N Sladoje Discrete Geometry for Computer Imagery: 21st IAPR International Conference …, 2019 | 3 | 2019 |
| Water Retention on Magic Squares with Constraint-Based Local Search J Öfverstedt Department of Information Technology, Uppsala University, 2012 | 3 | 2012 |
| Cross-sim-NGF: FFT-based global rigid multimodal alignment of image volumes using normalized gradient fields J Öfverstedt, J Lindblad, N Sladoje International Workshop on Biomedical Image Registration, 156-165, 2022 | 2 | 2022 |
| Deterministic Parallel Graph Coloring with Symmetry Breaking P Normann, J Öfverstedt Technical reports from the Department of Information Technology, Uppsala …, 2015 | 1 | 2015 |
| Time-Driven Survival Analysis from FDG-PET/CT in Lung Cancer S Tarai, A Chauhan, E Lundström, J Öfverstedt, T Sjöholm, VS Rodriguez, ... Medical Imaging with Deep Learning, 2025 | | 2025 |
| A method for supervoxel-wise association studies of age and other non-imaging variables from coronary computed tomography angiograms J Öfverstedt, E Lundström, G Bergström, J Kullberg, H Ahlström arXiv preprint arXiv:2405.07762, 2024 | | 2024 |
| Interpretable Uncertainty-Aware Deep Regression with Cohort Saliency Analysis for Three-Slice CT Imaging Studies N Ahmad, J Öfverstedt, S Tarai, G Bergström, H Ahlström, J Kullberg Proceedings of Machine Learning Research–nnn 1, 16, 2024 | | 2024 |
| Multimodal deformable image registration using contrastive learning of equivariant image representations L Nordling, J Öfverstedt, J Lindblad, N Sladoje 40th Swedish Symposium on Image Analysis, Kolmårdens vildmarkshotell, Sweden …, 2023 | | 2023 |
| Global Parameter Optimization for Multimodal Biomedical Image Registration N Pielawski, J Öfverstedt, E Wetzer | | 2023 |
Nataša SladojeProfessor in Computerized Image Analysis, Uppsala University, SwedenВерификована је имејл адреса на it.uu.se
