Darko Zikic

9.0k citations
44 papers · 6.5k · 1 hit paper · h-index 19

Impact in

Papers in

    • Medical Image Segmentation Techniques 27
    • Advanced Vision and Imaging 9
    • Advanced Image and Video Retrieval Techniques 8
    • Advanced Neural Network Applications 5
    • Image Retrieval and Classification Techniques 4
    • Robotics and Sensor-Based Localization 11

Darko Zikic

44 papers receiving 6.4k citations

Darko Zikic's Hit Papers

The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS) 2014 · 4.9k citations
4.9k0+4+8Years since publication10002.0k3.0k4.0k

Peers

Darko Zikic
Comparison fields: 5 of 122
  • Neurology 3.1k
  • Computer Vision and Pattern Recognition 4.0k
  • Radiology, Nuclear Medicine and Imaging 2.0k
  • Health Informatics 123
  • Artificial Intelligence 1.5k
Replace Tal Arbel with:
Tal Arbel Canada
Andaç Hamamcı Türkiye
Owen Thomas United Kingdom
Raphael Meier Switzerland
Carlos A. Silva Portugal
Sérgio Pereira Portugal
Ezequiel Geremia France
Mauricio Reyes Switzerland
Christopher R. Durst United States
Darko Zikic relative to Tal Arbel Canada Tal Arbel's profile →
Citations per field
00.5×1.5×
Tal Arbel · 1×
Citations per year

Countries citing papers authored by Darko Zikic

Since Specialization
Citations

This map shows the geographic impact of Darko Zikic'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 Darko Zikic with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Darko Zikic more than expected).

Fields of papers citing papers by Darko Zikic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Darko Zikic. 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 Darko Zikic. The network helps show where Darko Zikic may publish in the future.

Co-authors

The 25 scholars most cited alongside Darko Zikic, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Darko Zikic Line = papers co-authored together Darko Zikic links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)
Hit paper breakdown →
20144862
2 2012230
3
Segmentation of Brain Tumor Tissues with Convolutional Neural Networks
2014184
4 2013154
5 2007113
6 2013106
7 201796
8 201385
9 201483
10 200971
11 201470
12 201352
13
Context-sensitive Classication Forests for Segmentation of Brain Tumor Tissues
201250
14 201349
15 200638
16 201036
17 201430
18 201428
19 200819
20 201418

About Darko Zikic

Darko Zikic is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Neurology, Radiology, Nuclear Medicine and Imaging and Computational Mechanics, having authored 44 papers that have together received 6.5k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (27 papers), Robotics and Sensor-Based Localization (11 papers), Advanced Vision and Imaging (9 papers), Advanced Image and Video Retrieval Techniques (8 papers), Brain Tumor Detection and Classification (5 papers), Advanced Neural Network Applications (5 papers), Image Retrieval and Classification Techniques (4 papers) and Medical Imaging and Analysis (4 papers). The work is most often cited by research in Neurology (3.1k citations), Computer Vision and Pattern Recognition (4.0k citations), Radiology, Nuclear Medicine and Imaging (2.0k citations), Health Informatics (123 citations) and Artificial Intelligence (1.5k citations). Darko Zikic has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Antonio Criminisi, Ben Glocker, Ender Konukoğlu, Nassir Navab, Yani Ioannou, Matthew A. Brown, Martin Groher, David R. Haynor, Jamie Shotton and Çağatay Demiralp. Their work appears in journals such as Medical Image Analysis, IEEE Transactions on Medical Imaging, Lecture notes in computer science, NeuroImage and European Journal of Nuclear Medicine and Molecular Imaging.

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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