Buda Bajic

15 papers C 1Journal 9Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
Sparse view tomographic reconstruction of elongated objects using learned primal-dual networks.
Eng. Appl. Artif. Intell.
Buda Bajic, Johannes A. J. Huber, Benedikt Neyses, Linus Olofsson, Ozan Öktem
2024 J jnl
3D Helical CT Reconstruction With a Memory Efficient Learned Primal-Dual Architecture.
IEEE Trans. Computational Imaging
Jevgenija Rudzusika, Buda Bajic, Thomas Köhler, Ozan Öktem
2024 J jnl
Neural Network Modeling for Forecasting Tourism Demand in Stopi\'{c}a Cave: A Serbian Cave Tourism Study.
CoRR
Buda Bajic, Srdan Lj. Milicevic, Aleksandar Antic, Slobodan Markovic, Nemanja Tomic
2024 J jnl
Reconstruction for Sparse View Tomography of Long Objects Applied to Imaging in the Wood Industry.
CoRR
Buda Bajic, Johannes A. J. Huber, Benedikt Neyses, Linus Olofsson, Ozan Öktem
2022 J jnl
3D helical CT reconstruction with memory efficient invertible Learned Primal-Dual method.
CoRR
Buda Bajic, Ozan Öktem, Jevgenija Rudzusika
2021 C conf
Texture-Based Image Transformations for Improved Deep Learning Classification.
CIARP
Tomás Majtner, Buda Bajic, Jürgen Herp
2020 J jnl
Generalised deep learning framework for HEp-2 cell recognition using local binary pattern maps.
IET Image Process.
Buda Bajic, Tomás Majtner, Joakim Lindblad, Natasa Sladoje
2019 — conf
On the Effectiveness of Generative Adversarial Networks as HEp-2 Image Augmentation Tool.
SCIA
Tomás Majtner, Buda Bajic, Joakim Lindblad, Natasa Sladoje, Victoria Blanes-Vidal, Esmaeil S. Nadimi
2019 J jnl
Sparsity promoting super-resolution coverage segmentation by linear unmixing in presence of blur and noise.
J. Electronic Imaging
Buda Bajic, Joakim Lindblad, Natasa Sladoje
2018 — conf
Denoising of short exposure transmission electron microscopy images for ultrastructural enhancement.
ISBI
Buda Bajic, Amit Suveer, Anindya Gupta, Ivana Pepic, Joakim Lindblad, Natasa Sladoje, Ida-Maria Sintorn
2018 J jnl
Ensemble of Convolutional Neural Networks for Dermoscopic Images Classification.
CoRR
Tomás Majtner, Buda Bajic, Sule Yildirim, Jon Yngve Hardeberg, Joakim Lindblad, Natasa Sladoje
2016 — conf
Blind restoration of images degraded with mixed poisson-Gaussian noise with application in transmission electron microscopy.
ISBI
Buda Bajic, Joakim Lindblad, Natasa Sladoje
2016 J jnl
Restoration of images degraded by signal-dependent noise based on energy minimization: an empirical study.
J. Electronic Imaging
Buda Bajic, Joakim Lindblad, Natasa Sladoje
2016 — conf
Single image super-resolution reconstruction in presence of mixed Poisson-Gaussian noise.
IPTA
Buda Bajic, Joakim Lindblad, Natasa Sladoje
2014 — conf
An Evaluation of Potential Functions for Regularized Image Deblurring.
ICIAR (1)
Buda Bajic, Joakim Lindblad, Natasa Sladoje