Buda Bajić
Buda Bajić
Faculty of Technical Sciences, University of Novi Sad
Verified email at uns.ac.rs - Homepage
Title
Cited by
Cited by
Year
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
132016
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
82018
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, 2016
82016
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
Scandinavian Conference on Image Analysis, 439-451, 2019
72019
An evaluation of potential functions for regularized image deblurring
B Bajić, J Lindblad, N Sladoje
International Conference Image Analysis and Recognition, 150-158, 2014
32014
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
22018
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
22016
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
12020
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, 2019
12019
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Articles 1–9