Tina Ehtiati

464 total citations
38 papers, 369 citations indexed

About

Tina Ehtiati is a scholar working on Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Tina Ehtiati has authored 38 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Biomedical Engineering, 20 papers in Radiology, Nuclear Medicine and Imaging and 10 papers in Surgery. Recurrent topics in Tina Ehtiati's work include Medical Imaging Techniques and Applications (18 papers), Advanced X-ray and CT Imaging (18 papers) and Radiation Dose and Imaging (6 papers). Tina Ehtiati is often cited by papers focused on Medical Imaging Techniques and Applications (18 papers), Advanced X-ray and CT Imaging (18 papers) and Radiation Dose and Imaging (6 papers). Tina Ehtiati collaborates with scholars based in United States, Germany and Australia. Tina Ehtiati's co-authors include J. Webster Stayman, Clifford R. Weiss, Grace J. Gang, Jeffrey H. Siewerdsen, J. H. Siewerdsen, Matthew W. Jacobson, Alejandro Sisniega, J. H. Siewerdsen, Philippe Gailloud and Judy Huang and has published in prestigious journals such as Journal of the American College of Cardiology, Radiology and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Tina Ehtiati

36 papers receiving 365 citations

Peers

Tina Ehtiati
Y. Kyriakou Germany
Fides R. Schwartz United States
Jim Latimer United States
I.M.J. van der Bom United States
Dženan Zukić United States
Ravishankar Chityala United States
A. Kleven Norway
Y. Kyriakou Germany
Tina Ehtiati
Citations per year, relative to Tina Ehtiati Tina Ehtiati (= 1×) peers Y. Kyriakou

Countries citing papers authored by Tina Ehtiati

Since Specialization
Citations

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

Fields of papers citing papers by Tina Ehtiati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tina Ehtiati

This figure shows the co-authorship network connecting the top 25 collaborators of Tina Ehtiati. A scholar is included among the top collaborators of Tina Ehtiati 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 Tina Ehtiati. Tina Ehtiati 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.
Gang, Grace J., Tina Ehtiati, Tess Reynolds, et al.. (2022). Non-circular CBCT orbit design and realization on a clinical robotic C-arm for metal artifact reduction. PubMed. 12034. 8–8. 6 indexed citations
2.
Siewerdsen, J. H., Wojciech Zbijewski, Clifford R. Weiss, et al.. (2022). Reference-free learning-based similarity metric for motion compensation in cone-beam CT. Physics in Medicine and Biology. 67(12). 125020–125020. 15 indexed citations
3.
Akinwande, Olaguoke, Frank Yuan, B. Holly, et al.. (2022). Angiographic Revascularization after Bariatric Embolization in a Swine Model. Journal of Vascular and Interventional Radiology. 33(6). 648–652.e2.
4.
Sisniega, Alejandro, et al.. (2021). Accelerated 3D image reconstruction with a morphological pyramid and noise-power convergence criterion. Physics in Medicine and Biology. 66(5). 55012–55012. 6 indexed citations
5.
Sisniega, Alejandro, et al.. (2020). Deformable motion compensation for interventional cone-beam CT. Physics in Medicine and Biology. 66(5). 55010–55010. 22 indexed citations
6.
Fu, Yingli, Clifford R. Weiss, Dorota Kedziorek, et al.. (2019). Noninvasive Monitoring of Allogeneic Stem Cell Delivery with Dual-Modality Imaging-Visible Microcapsules in a Rabbit Model of Peripheral Arterial Disease. Stem Cells International. 2019. 1–10. 2 indexed citations
7.
Sisniega, Alejandro, et al.. (2019). Image-based deformable motion compensation for interventional cone-beam CT. 59–59. 4 indexed citations
9.
Jacobson, Matthew W., et al.. (2017). Correction of patient motion in cone-beam CT using 3D–2D registration. Physics in Medicine and Biology. 62(23). 8813–8831. 29 indexed citations
10.
Stayman, J. Webster, et al.. (2016). Self-calibration of cone-beam CT geometry using 3D–2D image registration. Physics in Medicine and Biology. 61(7). 2613–2632. 63 indexed citations
11.
Stayman, J. Webster, et al.. (2015). Self-calibration of cone-beam CT geometry using 3D-2D image registration: development and application to tasked-based imaging with a robotic C-arm. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9415. 94151D–94151D. 8 indexed citations
12.
Gang, Grace J., J. Webster Stayman, Tina Ehtiati, & Jeffrey H. Siewerdsen. (2015). Task-driven image acquisition and reconstruction in cone-beam CT. Physics in Medicine and Biology. 60(8). 3129–3150. 26 indexed citations
13.
Eibenberger, Karin, et al.. (2014). A Novel Method of 3D Image Analysis of High-Resolution Cone Beam CT and Multi Slice CT for the Detection of Semicircular Canal Dehiscence. Otology & Neurotology. 35(2). 329–337. 18 indexed citations
14.
Huang, Judy, Philippe Gailloud, Daniele Rigamonti, et al.. (2014). Planning Evaluation of C-Arm Cone Beam CT Angiography for Target Delineation in Stereotactic Radiation Surgery of Brain Arteriovenous Malformations. International Journal of Radiation Oncology*Biology*Physics. 90(2). 430–437. 11 indexed citations
15.
Pearl, Monica S., Collin M. Torok, Steven A. Messina, et al.. (2014). Diagnostic quality and accuracy of low dose 3D-DSA protocols in the evaluation of intracranial aneurysms. Journal of NeuroInterventional Surgery. 7(5). 386–390. 19 indexed citations
16.
Kedziorek, Dorota, Meiyappan Solaiyappan, Piotr Walczak, et al.. (2013). Using C-Arm X-Ray Imaging to Guide Local Reporter Probe Delivery for Tracking Stem Cell Engraftment. Theranostics. 3(11). 916–926. 8 indexed citations
17.
Pearl, Monica S., Collin M. Torok, Steven A. Messina, et al.. (2013). Reducing radiation dose while maintaining diagnostic image quality of cerebral three-dimensional digital subtraction angiography: an in vivo study in swine. Journal of NeuroInterventional Surgery. 6(9). 672–676. 13 indexed citations
18.
Radvany, Martin G., Tina Ehtiati, Judy Huang, Mahadevappa Mahesh, & Philippe Gailloud. (2011). Aortic arch injection with C-arm cone beam CT for radiosurgery treatment planning of cerebral arteriovenous malformations: technical note. Journal of NeuroInterventional Surgery. 4(5). e28–e28. 13 indexed citations
19.
Fu, Yingli, Dorota Kedziorek, Steven M. Shea, et al.. (2010). NOVEL 19F MRI AND CT TRACKABLE MICROENCAPSULATED MESENCHYMAL STEM CELLS FOR TREATING PERIPHERAL ARTERIAL DISEASE. Journal of the American College of Cardiology. 55(10). A216.E2049–A216.E2049. 1 indexed citations
20.
Ehtiati, Tina, Witold Kinsner, & Zahra Moussavi. (2002). Multifractal characterization of the electromyogram signals in presence of fatigue. 2. 866–869. 9 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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