An Evaluation of Potential Functions for Regularized Image Deblurring. - Buda Bajic; Joakim Lindblad; Natasa Sladoje (ICIAR (1), 2014)

Single image super-resolution reconstruction in presence of mixed Poisson-Gaussian noise. - Buda Bajic; Joakim Lindblad; Natasa Sladoje (IPTA, 2016)

Blind restoration of images degraded with mixed poisson-Gaussian noise with application in transmission electron microscopy. - Buda Bajic; Joakim Lindblad; Natasa Sladoje (ISBI, 2016)

Restoration of images degraded by signal-dependent noise based on energy minimization: an empirical study. - Buda Bajic; Joakim Lindblad; Natasa Sladoje (J. Electronic Imaging, 2016)

Denoising of short exposure transmission electron microscopy images for ultrastructural enhancement. - Buda Bajic; Amit Suveer; Anindya Gupta; Ivana Pepic; Joakim Lindblad; Natasa Sladoje; Ida-Maria Sintorn (ISBI, 2018)

Ensemble of Convolutional Neural Networks for Dermoscopic Images Classification. - Tomás Majtner; Buda Bajic; Sule Yildirim; Jon Yngve Hardeberg; Joakim Lindblad; Natasa Sladoje (CoRR, 2018)

On the Effectiveness of Generative Adversarial Networks as HEp-2 Image Augmentation Tool. - Tomás Majtner; Buda Bajic; Joakim Lindblad; Natasa Sladoje; Victoria Blanes-Vidal; Esmaeil S. Nadimi (SCIA, 2019)

Sparsity promoting super-resolution coverage segmentation by linear unmixing in presence of blur and noise. - Buda Bajic; Joakim Lindblad; Natasa Sladoje (J. Electronic Imaging, 2019)

Generalised deep learning framework for HEp-2 cell recognition using local binary pattern maps. - Buda Bajic; Tomás Majtner; Joakim Lindblad; Natasa Sladoje (IET Image Process., 2020)

Texture-Based Image Transformations for Improved Deep Learning Classification. - Tomás Majtner; Buda Bajic; Jürgen Herp (CIARP, 2021)

3D helical CT reconstruction with memory efficient invertible Learned Primal-Dual method. - Buda Bajic; Ozan Öktem; Jevgenija Rudzusika (CoRR, 2022)

Reconstruction for Sparse View Tomography of Long Objects Applied to Imaging in the Wood Industry. - Buda Bajic; Johannes A. J. Huber; Benedikt Neyses; Linus Olofsson; Ozan Öktem (CoRR, 2024)

Neural Network Modeling for Forecasting Tourism Demand in Stopi '{c}a Cave: A Serbian Cave Tourism Study. - Buda Bajic; Srdan Lj. Milicevic; Aleksandar Antic; Slobodan Markovic; Nemanja Tomic (CoRR, 2024)

3D Helical CT Reconstruction With a Memory Efficient Learned Primal-Dual Architecture. - Jevgenija Rudzusika; Buda Bajic; Thomas Köhler 003; Ozan Öktem (IEEE Trans. Computational Imaging, 2024)