1. T. Czernuszewicz et al., "A new preclinical ultrasound platform for widefield 3D imaging of rodents," Review of Scientific Instruments, vol. 89, no. 7, pp. 075107, 2018.
2. R. Zhang et al., "A deformable registration workflow for motion correction in PET-CT guided biopsy," presented at the Society of Nuclear Medicine and Molecular Imaging Annual Meeting (SNMMI), Denver, Colorado, 2017.
3. A. Porras, D. Zukić, A. Enquobahrie, R. Keating, G. Rogers, and M. Linguraru, "Personalized Optimal Planning of Fronto-Orbital Advancement Surgery for the Correction of Metopic Craniosynostosis from CT," presented at the American Cleft Palate-Craniofacial Association's Annual Meeting, Colorado Springs, CO, USA, 2017.
4. A. Porras, D. Zukić, A. Equobahrie, G. Rogers, and M. Linguraru, "Personalized Optimal Planning for the Surgical Correction of Metopic Craniosynostosis," in MICCAI Clinical Image-based Procedures, Athens, Greece, 2016.
5. D. Zukić, Z. Mullen, D. Byrd, P. Kinahan, and A. Enquobahrie, "A web-based platform for a high throughput calibration of PET scans," in Computer Assisted Radiology and Surgery, Heidelberg, Germany, 2016.
6. D. Zukić et al., "nD morphological contour interpolation," Insight Journal, 2016.
7. D. Zukić, M. McCormick, G. Gerig, and P. Yushkevich, "RLEImage: run-length encoded memory compression scheme for an itk::Image," Insight Journal, 2016.
8. B. Paniagua et al., "Ultrasound-Guided Navigation System for Orthognathic Surgery," in 10th MICCAI Workshop on Augmented Environments for Computer-Assisted Interventions (AE-CAI), Munich, Germany, 2015.
9. B. Wood et al., "Evaluation of Fronto-Orbital Advancement for Coronal Synostosis using a 3D Statistical Shape Model," in Proc. ISCFS, 2015.
10. D. Zukić, "An Efficient Inflation Method for Segmentation of Medical 3D Images," Ph.D. dissertation, University of Siegen, 2015.
11. J. Qi et al., "Postoperative Evaluation of Craniosynostosis based on 3D Statistical Shape Model," in Computer Aided Radiology and Surgery, 2015.
12. R. Ortiz et al., "Stress Analysis Of Cranial Bones For Craniosynostosis Surgical Correction," in Computer Aided Radiology and Surgery, 2015.
13. D. Zukić et al., "SlicerPET: A workflow based software module for PET/CT guided needle biopsy," in Computer Aided Radiology and Surgery, 2015.
14. D. Zukić, A. Vlasák, J. Egger, D. Hořínek, C. Nimsky, and A. Kolb, "Robust Detection and Segmentation for Diagnosis of Vertebral Diseases using Routine MR Images," Computer Graphics Forum, vol. 33, no. 6, pp. 190-204, 2014.
15. J. Egger, D. Zukić, B. Freisleben, A. Kolb, and C. Nimsky, "Segmentation of Pituitary Adenoma: Graph-based vs. Balloon Inflation," Computer Methods and Programs in Biomedicine, vol. 110, no. 3, pp. 268-278, Jun. 2013.
16. D. Zukić et al., "Segmentation of Vertebral Bodies in MR Images," in Vision, Modeling and Visualization, 2012.
17. J. Egger et al., "Square-Cut: A Segmentation Algorithm on the Basis of a Rectangle Shape," PLoS ONE, vol. 7, no. 2, pp. e31064, 2012.
18. D. Zukić et al., "Preoperative Volume Determination for Pituitary Adenoma," in Proc. SPIE Medical Imaging, 2011.
19. J. Egger et al., "A Comparison of Two Human Brain Tumor Segmentation Methods for MRI Data," in 6th Russian-Bavarian Conference on Bio-Medical Engineering, 2010.
20. D. Zukić et al., "Glioblastoma Multiforme Segmentation in MRI Data with a Balloon Inflation Approach," in 6th Russian-Bavarian Conference on Bio-Medical Engineering, 2010.
21. D. Zukić, C. Rezk-Salama, and A. Kolb, "A Neural Network Classifier of Volume Datasets," in Int. Conf. on Computer Graphics and Artificial Intelligence (3IA), 2009.
22. D. Zukić, C. Rezk-Salama, and A. Kolb, "Classifying Volume Datasets Based on Intensities and Geometric Features," in Intelligent Computer Graphics. Springer, 2009, pp. 63-85.
23. D. Zukić, A. Elsner, Z. Avdagić, and G. Domik, "Neural networks in 3D medical scan visualization," in Int. Conf. on Computer Graphics and Artificial Intelligence (3IA), 2008.
24. A. Elsner et al., "Semiautomatic Cardiac CT Scan Classification with a Semantic User Interface," University of Paderborn, Dec. 2007.
25. D. Zukić, "Neuronske mreže u vizuelizaciji CT snimaka," Elektrotehnički Fakultet, Univerzitet u Sarajevu, 2007.