Sema Candemir

4.1k total citations · 3 hit papers
40 papers, 2.7k citations indexed

About

Sema Candemir is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Sema Candemir has authored 40 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Radiology, Nuclear Medicine and Imaging, 16 papers in Computer Vision and Pattern Recognition and 14 papers in Artificial Intelligence. Recurrent topics in Sema Candemir's work include COVID-19 diagnosis using AI (17 papers), AI in cancer detection (13 papers) and Radiomics and Machine Learning in Medical Imaging (11 papers). Sema Candemir is often cited by papers focused on COVID-19 diagnosis using AI (17 papers), AI in cancer detection (13 papers) and Radiomics and Machine Learning in Medical Imaging (11 papers). Sema Candemir collaborates with scholars based in United States, China and Germany. Sema Candemir's co-authors include Sameer Antani, George R. Thoma, Stefan Jaeger, Yì Wáng, Zhiyun Xue, Alexandros Karargyris, Pu-Xuan Lu, Kannappan Palaniappan, Rahul Kumar Singh and Les Folio and has published in prestigious journals such as IEEE Access, IEEE Transactions on Medical Imaging and Applied Sciences.

In The Last Decade

Sema Candemir

39 papers receiving 2.6k citations

Hit Papers

Two public chest X-ray datasets for computer-aided screen... 2013 2026 2017 2021 2014 2013 2013 200 400 600

Peers

Sema Candemir
Alexandros Karargyris United States
Sema Candemir
Citations per year, relative to Sema Candemir Sema Candemir (= 1×) peers Alexandros Karargyris

Countries citing papers authored by Sema Candemir

Since Specialization
Citations

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

Fields of papers citing papers by Sema Candemir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sema Candemir

This figure shows the co-authorship network connecting the top 25 collaborators of Sema Candemir. A scholar is included among the top collaborators of Sema Candemir 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 Sema Candemir. Sema Candemir is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Candemir, Sema, et al.. (2023). Detecting and Characterizing Inferior Vena Cava Filters on Abdominal Computed Tomography with Data-Driven Computational Frameworks. Journal of Digital Imaging. 36(6). 2507–2518. 1 indexed citations
2.
Nguyen, Xuan V., Sema Candemir, Barbaros S. Erdal, Richard White, & Luciano M. Prevedello. (2020). Predicting Mental Decline Rates in Mild Cognitive Impairment From Baseline MRI Volumetric Data. Alzheimer Disease & Associated Disorders. 35(1). 1–7. 6 indexed citations
3.
Demirer, Mutlu, Sema Candemir, Vikash Gupta, et al.. (2019). A User Interface for Optimizing Radiologist Engagement in Image Data Curation for Artificial Intelligence. Radiology Artificial Intelligence. 1(6). e180095–e180095. 24 indexed citations
4.
Candemir, Sema & Sameer Antani. (2019). A review on lung boundary detection in chest X-rays. International Journal of Computer Assisted Radiology and Surgery. 14(4). 563–576. 109 indexed citations
6.
Rajaraman, Sivaramakrishnan, George R. Thoma, Sameer Antani, & Sema Candemir. (2019). Visualizing and explaining deep learning predictions for pneumonia detection in pediatric chest radiographs. 27–27. 35 indexed citations
7.
Vajda, Szilárd, Alexandros Karargyris, Stefan Jaeger, et al.. (2018). Feature Selection for Automatic Tuberculosis Screening in Frontal Chest Radiographs. Journal of Medical Systems. 42(8). 146–146. 115 indexed citations
8.
Jaeger, Stefan, Sema Candemir, Mahdieh Poostchi, et al.. (2018). Detecting drug-resistant tuberculosis in chest radiographs. International Journal of Computer Assisted Radiology and Surgery. 13(12). 1915–1925. 42 indexed citations
9.
Rajaraman, Sivaramakrishnan, Sema Candemir, Zhiyun Xue, et al.. (2018). A novel stacked generalization of models for improved TB detection in chest radiographs. PubMed. 2018. 718–721. 49 indexed citations
10.
Ding, Meng, Sameer Antani, Stefan Jaeger, et al.. (2017). Local-global classifier fusion for screening chest radiographs. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 23 indexed citations
11.
Candemir, Sema, Sameer Antani, Zhiyun Xue, & George R. Thoma. (2017). Novel Method for Storyboarding Biomedical Videos for Medical Informatics. 1. 127–132.
12.
Candemir, Sema, Stefan Jaeger, Sameer Antani, et al.. (2016). Atlas-based rib-bone detection in chest X-rays. Computerized Medical Imaging and Graphics. 51. 32–39. 21 indexed citations
13.
Candemir, Sema, et al.. (2016). Automatic heart localization and radiographic index computation in chest x-rays. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9785. 978517–978517. 21 indexed citations
14.
Candemir, Sema, Sameer Antani, Stefan Jaeger, Renee Browning, & George R. Thoma. (2015). Lung boundary detection in pediatric chest x-rays. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9418. 94180Q–94180Q. 18 indexed citations
15.
Karargyris, Alexandros, Jenifer Siegelman, Stefan Jaeger, et al.. (2015). Combination of texture and shape features to detect pulmonary abnormalities in digital chest X-rays. International Journal of Computer Assisted Radiology and Surgery. 11(1). 99–106. 78 indexed citations
16.
Candemir, Sema, et al.. (2015). RSILC: Rotation- and Scale-Invariant, Line-based Color-aware descriptor. Image and Vision Computing. 42. 1–12. 15 indexed citations
17.
Jaeger, Stefan, Sema Candemir, Sameer Antani, et al.. (2014). Two public chest X-ray datasets for computer-aided screening of pulmonary diseases.. PubMed. 4(6). 475–7. 611 indexed citations breakdown →
18.
Pelapur, Rengarajan, Sema Candemir, Filiz Bunyak, et al.. (2012). Persistent target tracking using likelihood fusion in wide-area and full motion video sequences. International Conference on Information Fusion. 2420–2427. 51 indexed citations
19.
Candemir, Sema, Kannappan Palaniappan, Filiz Bunyak, Raghuveer Rao, & Guna Seetharaman. (2012). Feature prominence-based weighting scheme for video tracking. 1–7. 4 indexed citations
20.
Candemir, Sema & Yusuf Sinan Akgül. (2007). A nonparametric statistical approach for stereo correspondence. 1–6. 1 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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