Dženan Zukić

559 total citations
17 papers, 317 citations indexed

About

Dženan Zukić is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Dženan Zukić has authored 17 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 7 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Biomedical Engineering. Recurrent topics in Dženan Zukić's work include Medical Image Segmentation Techniques (7 papers), Medical Imaging and Analysis (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Dženan Zukić is often cited by papers focused on Medical Image Segmentation Techniques (7 papers), Medical Imaging and Analysis (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Dženan Zukić collaborates with scholars based in United States, Germany and Czechia. Dženan Zukić's co-authors include Christopher Nimsky, Jan Egger, Andreas Kolb, Matthew McCormick, Daniel Hořínek, Guido Gerig, Paul A. Yushkevich, Jared Vicory, Bernd Freisleben and İpek Oğuz and has published in prestigious journals such as PLoS ONE, Review of Scientific Instruments and Computer Methods and Programs in Biomedicine.

In The Last Decade

Dženan Zukić

16 papers receiving 311 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Dženan Zukić United States	10	132	116	85	64	41	17	317
André Mastmeyer Germany	10	207 1.6×	110 0.9×	106 1.2×	98 1.5×	31 0.8×	22	367
Marko Rak Germany	10	124 0.9×	95 0.8×	89 1.0×	45 0.7×	34 0.8×	21	246
Neculai Archip United States	11	146 1.1×	200 1.7×	205 2.4×	36 0.6×	11 0.3×	23	422
Serena Bonaretti United States	12	135 1.0×	134 1.2×	139 1.6×	147 2.3×	12 0.3×	21	498
Márta Fidrich Hungary	7	107 0.8×	148 1.3×	236 2.8×	27 0.4×	12 0.3×	15	457
Michael D. Ketcha United States	16	399 3.0×	225 1.9×	149 1.8×	272 4.3×	109 2.7×	54	644
Tsung‐Ying Ho Taiwan	12	137 1.0×	303 2.6×	35 0.4×	161 2.5×	10 0.2×	24	592
Martijn van de Giessen Netherlands	14	238 1.8×	172 1.5×	52 0.6×	95 1.5×	6 0.1×	36	509
Jared Vicory United States	10	57 0.4×	96 0.8×	91 1.1×	30 0.5×	4 0.1×	32	316
Sylvia Saalfeld Germany	13	84 0.6×	66 0.6×	79 0.9×	91 1.4×	14 0.3×	67	445

Countries citing papers authored by Dženan Zukić

Since Specialization

Citations

This map shows the geographic impact of Dženan Zukić's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Dženan Zukić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dženan Zukić more than expected).

Fields of papers citing papers by Dženan Zukić

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dženan Zukić. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Dženan Zukić. The network helps show where Dženan Zukić may publish in the future.

Co-authorship network of co-authors of Dženan Zukić

This figure shows the co-authorship network connecting the top 25 collaborators of Dženan Zukić. A scholar is included among the top collaborators of Dženan Zukić based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dženan Zukić. Dženan Zukić is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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17 of 17 papers shown

Zukić, Dženan, et al.. (2023). itk-elastix: Medical image registration in Python. Proceedings of the Python in Science Conferences. 101–105. 5 indexed citations

Czernuszewicz, Tomasz J., Christopher J. Moore, Stephanie A. Montgomery, et al.. (2022). Development of a Robotic Shear Wave Elastography System for Noninvasive Staging of Liver Disease in Murine Models. Hepatology Communications. 6(7). 1827–1839. 10 indexed citations

Zukić, Dženan, Michael Jackson, Dennis M. Dimiduk, et al.. (2021). ITKMontage: A Software Module for Image Stitching. Integrating materials and manufacturing innovation. 10(1). 115–124. 10 indexed citations

Vicory, Jared, et al.. (2021). An open-source solution for shape modeling of objects of challenging topologies. PubMed. 11600. 17–17. 1 indexed citations

Zukić, Dženan, et al.. (2021). Adversarial Bayesian Optimization for Quantifying Motion Artifact Within MRI. Lecture notes in computer science. 12928. 83–92.

Zukić, Dženan, Daniel A. Enquobahrie, Adam Alessio, et al.. (2019). PET/CT-guided biopsy with respiratory motion correction. International Journal of Computer Assisted Radiology and Surgery. 14(12). 2187–2198. 4 indexed citations

Yushkevich, Paul A., İpek Oğuz, Suyash Mohan, et al.. (2018). User-Guided Segmentation of Multi-modality Medical Imaging Datasets with ITK-SNAP. Neuroinformatics. 17(1). 83–102. 101 indexed citations

Zukić, Dženan, et al.. (2018). Calibration Software for Quantitative PET/CT Imaging Using Pocket Phantoms. Tomography. 4(3). 148–158. 3 indexed citations

Czernuszewicz, Tomasz J., Virginie Papadopoulou, Juan D. Rojas, et al.. (2018). A new preclinical ultrasound platform for widefield 3D imaging of rodents. Review of Scientific Instruments. 89(7). 75107–75107. 16 indexed citations

10.

Zukić, Dženan, Jared Vicory, Matthew McCormick, et al.. (2016). ND morphological contour interpolation. 19 indexed citations

11.

Porras, Antonio R., et al.. (2016). Personalized Optimal Planning for the Surgical Correction of Metopic Craniosynostosis. Lecture notes in computer science. 2016. 60–67. 15 indexed citations

12.

Zukić, Dženan, Matthew McCormick, Guido Gerig, & Paul A. Yushkevich. (2016). RLEImage: run-length encoded memory compression scheme for an itk::Image. 1 indexed citations

13.

Zukić, Dženan, et al.. (2014). Robust Detection and Segmentation for Diagnosis of Vertebral Diseases Using Routine MR Images. Computer Graphics Forum. 33(6). 190–204. 51 indexed citations

14.

Egger, Jan, Dženan Zukić, Bernd Freisleben, Andreas Kolb, & Christopher Nimsky. (2012). Segmentation of pituitary adenoma: A graph-based method vs. a balloon inflation method. Computer Methods and Programs in Biomedicine. 110(3). 268–278. 9 indexed citations

15.

Egger, Jan, Tina Kapur, Małgorzata Kołodziej, et al.. (2012). Square-Cut: A Segmentation Algorithm on the Basis of a Rectangle Shape. PLoS ONE. 7(2). e31064–e31064. 40 indexed citations

16.

Zukić, Dženan, et al.. (2012). Segmentation of Vertebral Bodies in MR Images. Eurographics. 25 indexed citations

17.

Zukić, Dženan, Jan Egger, M. Bauer, et al.. (2011). Preoperative volume determination for pituitary adenoma. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7963. 79632T–79632T. 7 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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