| 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 | 66 | 2020 |
| Towards automated multiscale imaging and analysis in TEM: Glomerulus detection by fusion of CNN and LBP maps E Wetzer, J Lindblad, IM Sintorn, K Hultenby, N Sladoje Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018 | 11 | 2018 |
| Image processing using color space models for forensic fiber detection E Wetzer, H Lohninger IFAC-PapersOnLine 51 (2), 445-450, 2018 | 8 | 2018 |
| When texture matters: texture-focused CNNs outperform general data augmentation and pretraining in oral cancer detection E Wetzer, J Gay, H Harlin, J Lindblad, N Sladoje 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 517-521, 2020 | 7 | 2020 |
| Cross-modality sub-image retrieval using contrastive multimodal image representations E Breznik, E Wetzer, J Lindblad, N Sladoje arXiv preprint arXiv:2201.03597, 2022 | 3 | 2022 |
| Methods for reliable image registration: algorithms, distance measures, and representations J Öfverstedt Acta Universitatis Upsaliensis, 2022 | 2 | 2022 |
| Can representation learning for multimodal image registration be improved by supervision of intermediate layers? E Wetzer, J Lindblad, N Sladoje Iberian Conference on Pattern Recognition and Image Analysis, 261-275, 2023 | 1 | 2023 |
| Representation Learning and Information Fusion: Applications in Biomedical Image Processing E Wetzer Uppsala University, 2023 | 1 | 2023 |
| Texture-based oral cancer detection: A performance analysis of deep learning approaches. J Gay, H Harlin, E Wetzer, J Lindblad, N Sladoje 3rd NEUBIAS Conference, 2019 | 1 | 2019 |
| Department of Information Technology, Uppsala University, Sweden Y Wang Uppsala University, Sweden, 2015 | 1 | 2015 |
| Intermodal Image Representations E Wetzer, J Öfverstedt Northern Lights Deep Learning Conference Abstracts 2024, 2023 | | 2023 |
| Partial dimensional collapse in contrastive learning when using intermediate layers E Wetzer, J Lindblad, N Sladoje Swedish Symposium on Image Analysis, 2023 | | 2023 |
| Global Parameter Optimization for Multimodal Biomedical Image Registration N Pielawski, J Öfverstedt, E Wetzer | | 2023 |
| Re-Ranking Strategies in Cross-Modality Microscopy Retrieval E Wetzer, E Breznik, J Lindblad, N Sladoje IEEE ISBI 2022 International Symposium on Biomedical Imaging, 28-31 March …, 2022 | | 2022 |
| Rotationally Equivariant Representation Learning for Multimodal Images E Wetzer, N Pielawski, J Öfverstedt, J Lu, C Wählby, J Lindblad, N Sladoje Swedish Symposium on Image Analysis, 2022 | | 2022 |
| Label-Free Reverse Image Search of Multimodal Microscopy Images E Breznik, E Wetzer, J Lindblad, N Sladoje Swedish Symposium on Image Analysis, 2022 | | 2022 |
| Contrastive Learning for Equivariant Multimodal Image Representations E Wetzer, N Pielawski, E Breznik, J Öfverstedt, J Lu, C Wählby, J Lindblad, ... " The Power of Women in Deep Learning" Workshop at the" Mathematics of deep …, 2021 | | 2021 |
| Comir: Contrastive multimodal image representation for registration E Wetzer, N Pielawski, J Öfverstedt, J Lu, C Wählby, J Lindblad, N Sladoje German Conference on Pattern Recognition, 2021 | | 2021 |
| Registration of Multimodal Microscopy Images using CoMIR–learned structural image representations E Wetzer, N Pielawski, J Öfverstedt, J Lu, C Wählby, J Lindblad, N Sladoje COMULIS Conference, 2021 | | 2021 |
| CoMIR: Contrastive Multimodal Image Representation for Registration NS Nicolas Pielawski, Elisabeth Wetzer, Johan Öfverstedt, Jiahao Lu ... Neural Information Processing Systems (NeurIPS 2020) 33, 2020 | | 2020 |
Nataša SladojeProfessor in Computerized Image Analysis, Uppsala University, SwedenVerified email at it.uu.se
