| Ensemble of convolutional neural networks for dermoscopic images classification T Majtner, B Bajić, S Yildirim, JY Hardeberg, J Lindblad, N Sladoje arXiv preprint arXiv:1808.05071, 2018 | 35 | 2018 |
| Blind restoration of images degraded with mixed Poisson-Gaussian noise with application in transmission electron microscopy B Bajić, J Lindblad, N Sladoje 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 123-127, 2016 | 26 | 2016 |
| On the effectiveness of generative adversarial networks as HEp-2 image augmentation tool T Majtner, B Bajić, J Lindblad, N Sladoje, V Blanes-Vidal, ES Nadimi Image Analysis: 21st Scandinavian Conference, SCIA 2019, Norrköping, Sweden …, 2019 | 17 | 2019 |
| Invertible learned primal-dual J Rudzusika, B Bajic, O Öktem, CB Schönlieb, C Etmann NeurIPS 2021 Workshop on Deep Learning and Inverse Problems, 2021 | 13 | 2021 |
| Restoration of images degraded by signal-dependent noise based on energy minimization: an empirical study B Bajić, J Lindblad, N Sladoje Journal of Electronic Imaging 25 (4), 043020-043020, 2016 | 12 | 2016 |
| Generalised deep learning framework for HEp‐2 cell recognition using local binary pattern maps B Bajić, T Majtner, J Lindblad, N Sladoje IET Image Processing 14 (6), 1201-1208, 2020 | 6 | 2020 |
| Denoising of short exposure transmission electron microscopy images for ultrastructural enhancement B Bajić, A Suveer, A Gupta, I Pepić, J Lindblad, N Sladoje, IM Sintorn 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018 | 5 | 2018 |
| Ensemble of convolutional neural networks for dermoscopic images classification. arXiv T Majtner, B Bajić, S Yildirim, JY Hardeberg, J Lindblad, N Sladoje arXiv preprint arXiv:1808.05071, 2018 | 5 | 2018 |
| Texture-based image transformations for improved deep learning classification T Majtner, B Bajić, J Herp Progress in Pattern Recognition, Image Analysis, Computer Vision, and …, 2021 | 4 | 2021 |
| 3d helical ct reconstruction with memory efficient invertible learned primal-dual method B Bajic, O Oktem, J Rudzusika arXiv preprint arXiv:2205.11952, 2022 | 3 | 2022 |
| Single image super-resolution reconstruction in presence of mixed Poisson-Gaussian noise B Bajić, J Lindblad, N Sladoje 2016 Sixth International Conference on Image Processing Theory, Tools and …, 2016 | 3 | 2016 |
| An evaluation of potential functions for regularized image deblurring B Bajić, J Lindblad, N Sladoje Image Analysis and Recognition: 11th International Conference, ICIAR 2014 …, 2014 | 3 | 2014 |
| 3D Helical CT Reconstruction with a Memory Efficient Learned Primal-Dual Architecture J Rudzusika, B Bajić, T Koehler, O Öktem IEEE Transactions on Computational Imaging, 2024 | 2 | 2024 |
| Symmetry Group Effect on Perforated Image Perception V Stojaković, B Bajić, B Tepavčević, M Jovanović Nexus Network Journal 25 (Suppl 1), 55-62, 2023 | 2 | 2023 |
| Sparsity promoting super-resolution coverage segmentation by linear unmixing in presence of blur and noise B Bajić, J Lindblad, N Sladoje Journal of Electronic Imaging 28 (1), 013046-013046, 2019 | 1 | 2019 |
| Reconstruction for Sparse View Tomography of Long Objects Applied to Imaging in the Wood Industry B Bajić, JAJ Huber, B Neyses, L Olofsson, O Öktem arXiv preprint arXiv:2403.02820, 2024 | | 2024 |
| Sparse View Tomographic Reconstruction of Elongated Objects Using Learned Primal-Dual Networks B Bajić, JAJ Huber, B Neyses, L Olofsson, O Öktem Available at SSRN 4997198, 0 | | |
Joakim LindbladProfessor of Computerized Image Processing, Uppsala University, SwedenVerified email at cb.uu.se
